Machine Learning Projects (Classic)/Titanic-survivors-end-to-end-project.ipynb

{"cells":[{"source":"<a href=\"https://www.kaggle.com/code/kelixirr/titanic-survivors-end-to-end-project?scriptVersionId=135782761\" target=\"_blank\"><img align=\"left\" alt=\"Kaggle\" title=\"Open in Kaggle\" src=\"https://kaggle.com/static/images/open-in-kaggle.svg\"></a>","metadata":{},"cell_type":"markdown"},{"cell_type":"markdown","id":"1b4924fb","metadata":{"papermill":{"duration":0.031828,"end_time":"2023-07-05T07:54:05.100806","exception":false,"start_time":"2023-07-05T07:54:05.068978","status":"completed"},"tags":[]},"source":["## Titanic Surviors Prediction Using Machine Learning\n","Use machine learning to create a model that predicts which passengers survived the Titanic shipwreck. It is your job to predict if a passenger survived the sinking of the Titanic or not. For each in the test set, you must predict a 0 or 1 value for the variable.\n","\n","0 = No, 1 = Yes\n","\n","### Metric\n","Your score is the percentage of passengers you correctly predict. This is known as accuracy.\n","\n","### Data \n","*pclass*: A proxy for socio-economic status (SES)\n","\n","1st = Upper\n","2nd = Middle\n","3rd = Lower\n","\n","*age*: Age is fractional if less than 1. If the age is estimated, is it in the form of xx.5\n","\n","*sibsp*: The dataset defines family relations in this way...\n","\n","Sibling = brother, sister, stepbrother, stepsister\n","\n","Spouse = husband, wife (mistresses and fiancés were ignored)\n","\n","*parch*: The dataset defines family relations in this way...\n","\n","Parent = mother, father\n","\n","Child = daughter, son, stepdaughter, stepson\n","\n","Some children travelled only with a nanny, therefore parch=0 for them.\n","\n","embarked\tPort of Embarkation\tC = Cherbourg, Q = Queenstown, S = Southampton\n"]},{"cell_type":"code","execution_count":1,"id":"0b843a77","metadata":{"execution":{"iopub.execute_input":"2023-07-05T07:54:05.1678Z","iopub.status.busy":"2023-07-05T07:54:05.167346Z","iopub.status.idle":"2023-07-05T07:54:05.180115Z","shell.execute_reply":"2023-07-05T07:54:05.179013Z"},"papermill":{"duration":0.050564,"end_time":"2023-07-05T07:54:05.182747","exception":false,"start_time":"2023-07-05T07:54:05.132183","status":"completed"},"tags":[]},"outputs":[],"source":["# Importing the important libraries\n","import pandas as pd \n","import numpy as np\n","import matplotlib.pyplot as plt"]},{"cell_type":"markdown","id":"9cc9684a","metadata":{"papermill":{"duration":0.032237,"end_time":"2023-07-05T07:54:05.249445","exception":false,"start_time":"2023-07-05T07:54:05.217208","status":"completed"},"tags":[]},"source":["We already have the test set and training set so we don't need to create them. "]},{"cell_type":"markdown","id":"0b17350f","metadata":{"papermill":{"duration":0.032298,"end_time":"2023-07-05T07:54:05.313223","exception":false,"start_time":"2023-07-05T07:54:05.280925","status":"completed"},"tags":[]},"source":["Let's analyse the training set and see what we can do. "]},{"cell_type":"code","execution_count":2,"id":"0af451ea","metadata":{"execution":{"iopub.execute_input":"2023-07-05T07:54:05.382497Z","iopub.status.busy":"2023-07-05T07:54:05.381378Z","iopub.status.idle":"2023-07-05T07:54:05.415253Z","shell.execute_reply":"2023-07-05T07:54:05.414009Z"},"papermill":{"duration":0.072954,"end_time":"2023-07-05T07:54:05.419276","exception":false,"start_time":"2023-07-05T07:54:05.346322","status":"completed"},"tags":[]},"outputs":[],"source":["df = pd.read_csv(\"/kaggle/input/titanic/train.csv\")"]},{"cell_type":"code","execution_count":3,"id":"b4dec12a","metadata":{"execution":{"iopub.execute_input":"2023-07-05T07:54:05.488156Z","iopub.status.busy":"2023-07-05T07:54:05.487408Z","iopub.status.idle":"2023-07-05T07:54:05.526583Z","shell.execute_reply":"2023-07-05T07:54:05.524866Z"},"papermill":{"duration":0.078414,"end_time":"2023-07-05T07:54:05.52943","exception":false,"start_time":"2023-07-05T07:54:05.451016","status":"completed"},"tags":[]},"outputs":[{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>PassengerId</th>\n","      <th>Survived</th>\n","      <th>Pclass</th>\n","      <th>Name</th>\n","      <th>Sex</th>\n","      <th>Age</th>\n","      <th>SibSp</th>\n","      <th>Parch</th>\n","      <th>Ticket</th>\n","      <th>Fare</th>\n","      <th>Cabin</th>\n","      <th>Embarked</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>3</td>\n","      <td>Braund, Mr. Owen Harris</td>\n","      <td>male</td>\n","      <td>22.0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>A/5 21171</td>\n","      <td>7.2500</td>\n","      <td>NaN</td>\n","      <td>S</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>2</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>Cumings, Mrs. John Bradley (Florence Briggs Th...</td>\n","      <td>female</td>\n","      <td>38.0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>PC 17599</td>\n","      <td>71.2833</td>\n","      <td>C85</td>\n","      <td>C</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>3</td>\n","      <td>1</td>\n","      <td>3</td>\n","      <td>Heikkinen, Miss. Laina</td>\n","      <td>female</td>\n","      <td>26.0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>STON/O2. 3101282</td>\n","      <td>7.9250</td>\n","      <td>NaN</td>\n","      <td>S</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>4</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>Futrelle, Mrs. Jacques Heath (Lily May Peel)</td>\n","      <td>female</td>\n","      <td>35.0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>113803</td>\n","      <td>53.1000</td>\n","      <td>C123</td>\n","      <td>S</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>5</td>\n","      <td>0</td>\n","      <td>3</td>\n","      <td>Allen, Mr. William Henry</td>\n","      <td>male</td>\n","      <td>35.0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>373450</td>\n","      <td>8.0500</td>\n","      <td>NaN</td>\n","      <td>S</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["   PassengerId  Survived  Pclass  \\\n","0            1         0       3   \n","1            2         1       1   \n","2            3         1       3   \n","3            4         1       1   \n","4            5         0       3   \n","\n","                                                Name     Sex   Age  SibSp  \\\n","0                            Braund, Mr. Owen Harris    male  22.0      1   \n","1  Cumings, Mrs. John Bradley (Florence Briggs Th...  female  38.0      1   \n","2                             Heikkinen, Miss. Laina  female  26.0      0   \n","3       Futrelle, Mrs. Jacques Heath (Lily May Peel)  female  35.0      1   \n","4                           Allen, Mr. William Henry    male  35.0      0   \n","\n","   Parch            Ticket     Fare Cabin Embarked  \n","0      0         A/5 21171   7.2500   NaN        S  \n","1      0          PC 17599  71.2833   C85        C  \n","2      0  STON/O2. 3101282   7.9250   NaN        S  \n","3      0            113803  53.1000  C123        S  \n","4      0            373450   8.0500   NaN        S  "]},"execution_count":3,"metadata":{},"output_type":"execute_result"}],"source":["df.head()"]},{"cell_type":"code","execution_count":4,"id":"b4e02e0b","metadata":{"execution":{"iopub.execute_input":"2023-07-05T07:54:05.594273Z","iopub.status.busy":"2023-07-05T07:54:05.593883Z","iopub.status.idle":"2023-07-05T07:54:05.602511Z","shell.execute_reply":"2023-07-05T07:54:05.600915Z"},"papermill":{"duration":0.043388,"end_time":"2023-07-05T07:54:05.604911","exception":false,"start_time":"2023-07-05T07:54:05.561523","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["PassengerId      int64\n","Survived         int64\n","Pclass           int64\n","Name            object\n","Sex             object\n","Age            float64\n","SibSp            int64\n","Parch            int64\n","Ticket          object\n","Fare           float64\n","Cabin           object\n","Embarked        object\n","dtype: object"]},"execution_count":4,"metadata":{},"output_type":"execute_result"}],"source":["# let's check for dtypes\n","df.dtypes"]},{"cell_type":"code","execution_count":5,"id":"be344da8","metadata":{"execution":{"iopub.execute_input":"2023-07-05T07:54:05.66857Z","iopub.status.busy":"2023-07-05T07:54:05.667958Z","iopub.status.idle":"2023-07-05T07:54:05.674537Z","shell.execute_reply":"2023-07-05T07:54:05.673379Z"},"papermill":{"duration":0.042155,"end_time":"2023-07-05T07:54:05.677959","exception":false,"start_time":"2023-07-05T07:54:05.635804","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["(891, 12)"]},"execution_count":5,"metadata":{},"output_type":"execute_result"}],"source":["# let's check for shape\n","df.shape"]},{"cell_type":"code","execution_count":6,"id":"7cf25ac7","metadata":{"execution":{"iopub.execute_input":"2023-07-05T07:54:05.745977Z","iopub.status.busy":"2023-07-05T07:54:05.745325Z","iopub.status.idle":"2023-07-05T07:54:05.759311Z","shell.execute_reply":"2023-07-05T07:54:05.757674Z"},"papermill":{"duration":0.051983,"end_time":"2023-07-05T07:54:05.762309","exception":false,"start_time":"2023-07-05T07:54:05.710326","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["PassengerId      0\n","Survived         0\n","Pclass           0\n","Name             0\n","Sex              0\n","Age            177\n","SibSp            0\n","Parch            0\n","Ticket           0\n","Fare             0\n","Cabin          687\n","Embarked         2\n","dtype: int64"]},"execution_count":6,"metadata":{},"output_type":"execute_result"}],"source":["# let's check for missing values\n","df.isna().sum()"]},{"cell_type":"markdown","id":"e83a1e65","metadata":{"papermill":{"duration":0.033392,"end_time":"2023-07-05T07:54:05.829723","exception":false,"start_time":"2023-07-05T07:54:05.796331","status":"completed"},"tags":[]},"source":["We seem to have several missing values in our data. "]},{"cell_type":"code","execution_count":7,"id":"71caee0c","metadata":{"execution":{"iopub.execute_input":"2023-07-05T07:54:05.899422Z","iopub.status.busy":"2023-07-05T07:54:05.898769Z","iopub.status.idle":"2023-07-05T07:54:05.937863Z","shell.execute_reply":"2023-07-05T07:54:05.936538Z"},"papermill":{"duration":0.078799,"end_time":"2023-07-05T07:54:05.941149","exception":false,"start_time":"2023-07-05T07:54:05.86235","status":"completed"},"tags":[]},"outputs":[{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>PassengerId</th>\n","      <th>Survived</th>\n","      <th>Pclass</th>\n","      <th>Age</th>\n","      <th>SibSp</th>\n","      <th>Parch</th>\n","      <th>Fare</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>count</th>\n","      <td>891.000000</td>\n","      <td>891.000000</td>\n","      <td>891.000000</td>\n","      <td>714.000000</td>\n","      <td>891.000000</td>\n","      <td>891.000000</td>\n","      <td>891.000000</td>\n","    </tr>\n","    <tr>\n","      <th>mean</th>\n","      <td>446.000000</td>\n","      <td>0.383838</td>\n","      <td>2.308642</td>\n","      <td>29.699118</td>\n","      <td>0.523008</td>\n","      <td>0.381594</td>\n","      <td>32.204208</td>\n","    </tr>\n","    <tr>\n","      <th>std</th>\n","      <td>257.353842</td>\n","      <td>0.486592</td>\n","      <td>0.836071</td>\n","      <td>14.526497</td>\n","      <td>1.102743</td>\n","      <td>0.806057</td>\n","      <td>49.693429</td>\n","    </tr>\n","    <tr>\n","      <th>min</th>\n","      <td>1.000000</td>\n","      <td>0.000000</td>\n","      <td>1.000000</td>\n","      <td>0.420000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","    </tr>\n","    <tr>\n","      <th>25%</th>\n","      <td>223.500000</td>\n","      <td>0.000000</td>\n","      <td>2.000000</td>\n","      <td>20.125000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>7.910400</td>\n","    </tr>\n","    <tr>\n","      <th>50%</th>\n","      <td>446.000000</td>\n","      <td>0.000000</td>\n","      <td>3.000000</td>\n","      <td>28.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>14.454200</td>\n","    </tr>\n","    <tr>\n","      <th>75%</th>\n","      <td>668.500000</td>\n","      <td>1.000000</td>\n","      <td>3.000000</td>\n","      <td>38.000000</td>\n","      <td>1.000000</td>\n","      <td>0.000000</td>\n","      <td>31.000000</td>\n","    </tr>\n","    <tr>\n","      <th>max</th>\n","      <td>891.000000</td>\n","      <td>1.000000</td>\n","      <td>3.000000</td>\n","      <td>80.000000</td>\n","      <td>8.000000</td>\n","      <td>6.000000</td>\n","      <td>512.329200</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["       PassengerId    Survived      Pclass         Age       SibSp  \\\n","count   891.000000  891.000000  891.000000  714.000000  891.000000   \n","mean    446.000000    0.383838    2.308642   29.699118    0.523008   \n","std     257.353842    0.486592    0.836071   14.526497    1.102743   \n","min       1.000000    0.000000    1.000000    0.420000    0.000000   \n","25%     223.500000    0.000000    2.000000   20.125000    0.000000   \n","50%     446.000000    0.000000    3.000000   28.000000    0.000000   \n","75%     668.500000    1.000000    3.000000   38.000000    1.000000   \n","max     891.000000    1.000000    3.000000   80.000000    8.000000   \n","\n","            Parch        Fare  \n","count  891.000000  891.000000  \n","mean     0.381594   32.204208  \n","std      0.806057   49.693429  \n","min      0.000000    0.000000  \n","25%      0.000000    7.910400  \n","50%      0.000000   14.454200  \n","75%      0.000000   31.000000  \n","max      6.000000  512.329200  "]},"execution_count":7,"metadata":{},"output_type":"execute_result"}],"source":["df.describe()"]},{"cell_type":"code","execution_count":8,"id":"cfc4b9b4","metadata":{"execution":{"iopub.execute_input":"2023-07-05T07:54:06.010551Z","iopub.status.busy":"2023-07-05T07:54:06.010146Z","iopub.status.idle":"2023-07-05T07:54:06.043278Z","shell.execute_reply":"2023-07-05T07:54:06.041695Z"},"papermill":{"duration":0.072765,"end_time":"2023-07-05T07:54:06.046996","exception":false,"start_time":"2023-07-05T07:54:05.974231","status":"completed"},"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["<class 'pandas.core.frame.DataFrame'>\n","RangeIndex: 891 entries, 0 to 890\n","Data columns (total 12 columns):\n"," #   Column       Non-Null Count  Dtype  \n","---  ------       --------------  -----  \n"," 0   PassengerId  891 non-null    int64  \n"," 1   Survived     891 non-null    int64  \n"," 2   Pclass       891 non-null    int64  \n"," 3   Name         891 non-null    object \n"," 4   Sex          891 non-null    object \n"," 5   Age          714 non-null    float64\n"," 6   SibSp        891 non-null    int64  \n"," 7   Parch        891 non-null    int64  \n"," 8   Ticket       891 non-null    object \n"," 9   Fare         891 non-null    float64\n"," 10  Cabin        204 non-null    object \n"," 11  Embarked     889 non-null    object \n","dtypes: float64(2), int64(5), object(5)\n","memory usage: 83.7+ KB\n"]}],"source":["df.info()"]},{"cell_type":"code","execution_count":9,"id":"0e6d2753","metadata":{"execution":{"iopub.execute_input":"2023-07-05T07:54:06.118175Z","iopub.status.busy":"2023-07-05T07:54:06.117685Z","iopub.status.idle":"2023-07-05T07:54:06.131348Z","shell.execute_reply":"2023-07-05T07:54:06.130467Z"},"papermill":{"duration":0.052412,"end_time":"2023-07-05T07:54:06.133752","exception":false,"start_time":"2023-07-05T07:54:06.08134","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["0"]},"execution_count":9,"metadata":{},"output_type":"execute_result"}],"source":["# checking for duplicate values \n","df.duplicated().sum()"]},{"cell_type":"markdown","id":"2e567efe","metadata":{"papermill":{"duration":0.033837,"end_time":"2023-07-05T07:54:06.203021","exception":false,"start_time":"2023-07-05T07:54:06.169184","status":"completed"},"tags":[]},"source":["We don't have duplicate values"]},{"cell_type":"code","execution_count":10,"id":"17358b5f","metadata":{"execution":{"iopub.execute_input":"2023-07-05T07:54:06.274582Z","iopub.status.busy":"2023-07-05T07:54:06.274159Z","iopub.status.idle":"2023-07-05T07:54:06.294892Z","shell.execute_reply":"2023-07-05T07:54:06.293779Z"},"papermill":{"duration":0.061112,"end_time":"2023-07-05T07:54:06.297351","exception":false,"start_time":"2023-07-05T07:54:06.236239","status":"completed"},"tags":[]},"outputs":[{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>PassengerId</th>\n","      <th>Survived</th>\n","      <th>Pclass</th>\n","      <th>Name</th>\n","      <th>Sex</th>\n","      <th>Age</th>\n","      <th>SibSp</th>\n","      <th>Parch</th>\n","      <th>Ticket</th>\n","      <th>Fare</th>\n","      <th>Cabin</th>\n","      <th>Embarked</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>886</th>\n","      <td>887</td>\n","      <td>0</td>\n","      <td>2</td>\n","      <td>Montvila, Rev. Juozas</td>\n","      <td>male</td>\n","      <td>27.0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>211536</td>\n","      <td>13.00</td>\n","      <td>NaN</td>\n","      <td>S</td>\n","    </tr>\n","    <tr>\n","      <th>887</th>\n","      <td>888</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>Graham, Miss. Margaret Edith</td>\n","      <td>female</td>\n","      <td>19.0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>112053</td>\n","      <td>30.00</td>\n","      <td>B42</td>\n","      <td>S</td>\n","    </tr>\n","    <tr>\n","      <th>888</th>\n","      <td>889</td>\n","      <td>0</td>\n","      <td>3</td>\n","      <td>Johnston, Miss. Catherine Helen \"Carrie\"</td>\n","      <td>female</td>\n","      <td>NaN</td>\n","      <td>1</td>\n","      <td>2</td>\n","      <td>W./C. 6607</td>\n","      <td>23.45</td>\n","      <td>NaN</td>\n","      <td>S</td>\n","    </tr>\n","    <tr>\n","      <th>889</th>\n","      <td>890</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>Behr, Mr. Karl Howell</td>\n","      <td>male</td>\n","      <td>26.0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>111369</td>\n","      <td>30.00</td>\n","      <td>C148</td>\n","      <td>C</td>\n","    </tr>\n","    <tr>\n","      <th>890</th>\n","      <td>891</td>\n","      <td>0</td>\n","      <td>3</td>\n","      <td>Dooley, Mr. Patrick</td>\n","      <td>male</td>\n","      <td>32.0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>370376</td>\n","      <td>7.75</td>\n","      <td>NaN</td>\n","      <td>Q</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["     PassengerId  Survived  Pclass                                      Name  \\\n","886          887         0       2                     Montvila, Rev. Juozas   \n","887          888         1       1              Graham, Miss. Margaret Edith   \n","888          889         0       3  Johnston, Miss. Catherine Helen \"Carrie\"   \n","889          890         1       1                     Behr, Mr. Karl Howell   \n","890          891         0       3                       Dooley, Mr. Patrick   \n","\n","        Sex   Age  SibSp  Parch      Ticket   Fare Cabin Embarked  \n","886    male  27.0      0      0      211536  13.00   NaN        S  \n","887  female  19.0      0      0      112053  30.00   B42        S  \n","888  female   NaN      1      2  W./C. 6607  23.45   NaN        S  \n","889    male  26.0      0      0      111369  30.00  C148        C  \n","890    male  32.0      0      0      370376   7.75   NaN        Q  "]},"execution_count":10,"metadata":{},"output_type":"execute_result"}],"source":["df.tail()"]},{"cell_type":"markdown","id":"6371cbde","metadata":{"papermill":{"duration":0.032756,"end_time":"2023-07-05T07:54:06.362237","exception":false,"start_time":"2023-07-05T07:54:06.329481","status":"completed"},"tags":[]},"source":["We can remove the column \"Ticket\" And \"Cabin\" because it does not seem to have any relationship with the accident unless other features are involved."]},{"cell_type":"code","execution_count":11,"id":"9a1ae805","metadata":{"execution":{"iopub.execute_input":"2023-07-05T07:54:06.430573Z","iopub.status.busy":"2023-07-05T07:54:06.429174Z","iopub.status.idle":"2023-07-05T07:54:06.439182Z","shell.execute_reply":"2023-07-05T07:54:06.437812Z"},"papermill":{"duration":0.046454,"end_time":"2023-07-05T07:54:06.441951","exception":false,"start_time":"2023-07-05T07:54:06.395497","status":"completed"},"tags":[]},"outputs":[],"source":["new_df = df.drop([\"Ticket\", \"Cabin\"], axis=1)"]},{"cell_type":"code","execution_count":12,"id":"6dbb8ea8","metadata":{"execution":{"iopub.execute_input":"2023-07-05T07:54:06.508546Z","iopub.status.busy":"2023-07-05T07:54:06.508148Z","iopub.status.idle":"2023-07-05T07:54:06.528285Z","shell.execute_reply":"2023-07-05T07:54:06.527065Z"},"papermill":{"duration":0.056867,"end_time":"2023-07-05T07:54:06.531714","exception":false,"start_time":"2023-07-05T07:54:06.474847","status":"completed"},"tags":[]},"outputs":[{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>PassengerId</th>\n","      <th>Survived</th>\n","      <th>Pclass</th>\n","      <th>Name</th>\n","      <th>Sex</th>\n","      <th>Age</th>\n","      <th>SibSp</th>\n","      <th>Parch</th>\n","      <th>Fare</th>\n","      <th>Embarked</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>3</td>\n","      <td>Braund, Mr. Owen Harris</td>\n","      <td>male</td>\n","      <td>22.0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>7.2500</td>\n","      <td>S</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>2</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>Cumings, Mrs. John Bradley (Florence Briggs Th...</td>\n","      <td>female</td>\n","      <td>38.0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>71.2833</td>\n","      <td>C</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>3</td>\n","      <td>1</td>\n","      <td>3</td>\n","      <td>Heikkinen, Miss. Laina</td>\n","      <td>female</td>\n","      <td>26.0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>7.9250</td>\n","      <td>S</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>4</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>Futrelle, Mrs. Jacques Heath (Lily May Peel)</td>\n","      <td>female</td>\n","      <td>35.0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>53.1000</td>\n","      <td>S</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>5</td>\n","      <td>0</td>\n","      <td>3</td>\n","      <td>Allen, Mr. William Henry</td>\n","      <td>male</td>\n","      <td>35.0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>8.0500</td>\n","      <td>S</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["   PassengerId  Survived  Pclass  \\\n","0            1         0       3   \n","1            2         1       1   \n","2            3         1       3   \n","3            4         1       1   \n","4            5         0       3   \n","\n","                                                Name     Sex   Age  SibSp  \\\n","0                            Braund, Mr. Owen Harris    male  22.0      1   \n","1  Cumings, Mrs. John Bradley (Florence Briggs Th...  female  38.0      1   \n","2                             Heikkinen, Miss. Laina  female  26.0      0   \n","3       Futrelle, Mrs. Jacques Heath (Lily May Peel)  female  35.0      1   \n","4                           Allen, Mr. William Henry    male  35.0      0   \n","\n","   Parch     Fare Embarked  \n","0      0   7.2500        S  \n","1      0  71.2833        C  \n","2      0   7.9250        S  \n","3      0  53.1000        S  \n","4      0   8.0500        S  "]},"execution_count":12,"metadata":{},"output_type":"execute_result"}],"source":["new_df.head()"]},{"cell_type":"markdown","id":"d2837490","metadata":{"papermill":{"duration":0.032684,"end_time":"2023-07-05T07:54:06.599708","exception":false,"start_time":"2023-07-05T07:54:06.567024","status":"completed"},"tags":[]},"source":["## Exploratory Data Analysis (EDA)"]},{"cell_type":"code","execution_count":13,"id":"866a3fe8","metadata":{"execution":{"iopub.execute_input":"2023-07-05T07:54:06.667475Z","iopub.status.busy":"2023-07-05T07:54:06.667026Z","iopub.status.idle":"2023-07-05T07:54:09.067203Z","shell.execute_reply":"2023-07-05T07:54:09.066386Z"},"papermill":{"duration":2.436804,"end_time":"2023-07-05T07:54:09.070123","exception":false,"start_time":"2023-07-05T07:54:06.633319","status":"completed"},"tags":[]},"outputs":[{"data":{"image/png":"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size 2000x1000 with 9 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["# let's check the data distribution \n","new_df.hist(bins=50, figsize=(20,10))\n","plt.show()"]},{"cell_type":"code","execution_count":14,"id":"15dd1c37","metadata":{"execution":{"iopub.execute_input":"2023-07-05T07:54:09.142256Z","iopub.status.busy":"2023-07-05T07:54:09.141501Z","iopub.status.idle":"2023-07-05T07:54:09.150896Z","shell.execute_reply":"2023-07-05T07:54:09.149668Z"},"papermill":{"duration":0.047629,"end_time":"2023-07-05T07:54:09.153489","exception":false,"start_time":"2023-07-05T07:54:09.10586","status":"completed"},"tags":[]},"outputs":[],"source":["# let's check for the correlation\n","corr = new_df.corrwith(new_df[\"Survived\"], numeric_only=True)"]},{"cell_type":"code","execution_count":15,"id":"0cce6ae7","metadata":{"execution":{"iopub.execute_input":"2023-07-05T07:54:09.224218Z","iopub.status.busy":"2023-07-05T07:54:09.223766Z","iopub.status.idle":"2023-07-05T07:54:09.233341Z","shell.execute_reply":"2023-07-05T07:54:09.231892Z"},"papermill":{"duration":0.047491,"end_time":"2023-07-05T07:54:09.235705","exception":false,"start_time":"2023-07-05T07:54:09.188214","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["Survived       1.000000\n","Fare           0.257307\n","Parch          0.081629\n","PassengerId   -0.005007\n","SibSp         -0.035322\n","Age           -0.077221\n","Pclass        -0.338481\n","dtype: float64"]},"execution_count":15,"metadata":{},"output_type":"execute_result"}],"source":["corr.sort_values(ascending=False)"]},{"cell_type":"markdown","id":"0450620d","metadata":{"papermill":{"duration":0.034095,"end_time":"2023-07-05T07:54:09.30436","exception":false,"start_time":"2023-07-05T07:54:09.270265","status":"completed"},"tags":[]},"source":["As we can see there is huge correlation between fare and survival. Pclass may not give us clear idea unless we compare the particular type. Let's plot the graph and see. "]},{"cell_type":"code","execution_count":16,"id":"4ae0abb1","metadata":{"execution":{"iopub.execute_input":"2023-07-05T07:54:09.374946Z","iopub.status.busy":"2023-07-05T07:54:09.374477Z","iopub.status.idle":"2023-07-05T07:54:09.38325Z","shell.execute_reply":"2023-07-05T07:54:09.381246Z"},"papermill":{"duration":0.047173,"end_time":"2023-07-05T07:54:09.386025","exception":false,"start_time":"2023-07-05T07:54:09.338852","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["Index(['PassengerId', 'Survived', 'Pclass', 'Name', 'Sex', 'Age', 'SibSp',\n","       'Parch', 'Fare', 'Embarked'],\n","      dtype='object')"]},"execution_count":16,"metadata":{},"output_type":"execute_result"}],"source":["new_df.columns"]},{"cell_type":"code","execution_count":17,"id":"deb15829","metadata":{"execution":{"iopub.execute_input":"2023-07-05T07:54:09.456143Z","iopub.status.busy":"2023-07-05T07:54:09.45572Z","iopub.status.idle":"2023-07-05T07:54:09.856234Z","shell.execute_reply":"2023-07-05T07:54:09.85498Z"},"papermill":{"duration":0.438215,"end_time":"2023-07-05T07:54:09.858836","exception":false,"start_time":"2023-07-05T07:54:09.420621","status":"completed"},"tags":[]},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 1000x500 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["pd.crosstab(new_df.Pclass, df.Survived).plot(kind=\"bar\", figsize=(10,5),  color=[\"red\", \"blue\"])\n","\n","plt.title(\"Relationship between Pclass And Survivors\")\n","plt.ylabel(\"Numbers\")\n","plt.xlabel(\"Pclass 1, 2, 3\")\n","plt.xticks(rotation=0);"]},{"cell_type":"code","execution_count":18,"id":"8c4f4e39","metadata":{"execution":{"iopub.execute_input":"2023-07-05T07:54:09.929358Z","iopub.status.busy":"2023-07-05T07:54:09.928983Z","iopub.status.idle":"2023-07-05T07:54:09.95109Z","shell.execute_reply":"2023-07-05T07:54:09.949757Z"},"papermill":{"duration":0.060111,"end_time":"2023-07-05T07:54:09.953905","exception":false,"start_time":"2023-07-05T07:54:09.893794","status":"completed"},"tags":[]},"outputs":[{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th>Survived</th>\n","      <th>0</th>\n","      <th>1</th>\n","    </tr>\n","    <tr>\n","      <th>Pclass</th>\n","      <th></th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>1</th>\n","      <td>80</td>\n","      <td>136</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>97</td>\n","      <td>87</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>372</td>\n","      <td>119</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["Survived    0    1\n","Pclass            \n","1          80  136\n","2          97   87\n","3         372  119"]},"execution_count":18,"metadata":{},"output_type":"execute_result"}],"source":["pd.crosstab(new_df.Pclass, df.Survived)"]},{"cell_type":"markdown","id":"2590b1f1","metadata":{"papermill":{"duration":0.034748,"end_time":"2023-07-05T07:54:10.024075","exception":false,"start_time":"2023-07-05T07:54:09.989327","status":"completed"},"tags":[]},"source":["As we can see that the people from 3rd class did not survive as much as people from 1st class. Notice we also have higher number of individuals in 3rd class. "]},{"cell_type":"code","execution_count":19,"id":"d6543dbd","metadata":{"execution":{"iopub.execute_input":"2023-07-05T07:54:10.0974Z","iopub.status.busy":"2023-07-05T07:54:10.096848Z","iopub.status.idle":"2023-07-05T07:54:10.123705Z","shell.execute_reply":"2023-07-05T07:54:10.121951Z"},"papermill":{"duration":0.067196,"end_time":"2023-07-05T07:54:10.126344","exception":false,"start_time":"2023-07-05T07:54:10.059148","status":"completed"},"tags":[]},"outputs":[{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th>Survived</th>\n","      <th>0</th>\n","      <th>1</th>\n","    </tr>\n","    <tr>\n","      <th>Parch</th>\n","      <th></th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>445</td>\n","      <td>233</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>53</td>\n","      <td>65</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>40</td>\n","      <td>40</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>2</td>\n","      <td>3</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>4</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>5</th>\n","      <td>4</td>\n","      <td>1</td>\n","    </tr>\n","    <tr>\n","      <th>6</th>\n","      <td>1</td>\n","      <td>0</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["Survived    0    1\n","Parch             \n","0         445  233\n","1          53   65\n","2          40   40\n","3           2    3\n","4           4    0\n","5           4    1\n","6           1    0"]},"execution_count":19,"metadata":{},"output_type":"execute_result"}],"source":["pd.crosstab(new_df.Parch, new_df.Survived)"]},{"cell_type":"code","execution_count":20,"id":"2a32d758","metadata":{"execution":{"iopub.execute_input":"2023-07-05T07:54:10.20214Z","iopub.status.busy":"2023-07-05T07:54:10.201195Z","iopub.status.idle":"2023-07-05T07:54:10.221812Z","shell.execute_reply":"2023-07-05T07:54:10.220778Z"},"papermill":{"duration":0.061858,"end_time":"2023-07-05T07:54:10.224127","exception":false,"start_time":"2023-07-05T07:54:10.162269","status":"completed"},"tags":[]},"outputs":[{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th>Survived</th>\n","      <th>0</th>\n","      <th>1</th>\n","    </tr>\n","    <tr>\n","      <th>SibSp</th>\n","      <th></th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>398</td>\n","      <td>210</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>97</td>\n","      <td>112</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>15</td>\n","      <td>13</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>12</td>\n","      <td>4</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>15</td>\n","      <td>3</td>\n","    </tr>\n","    <tr>\n","      <th>5</th>\n","      <td>5</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>8</th>\n","      <td>7</td>\n","      <td>0</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["Survived    0    1\n","SibSp             \n","0         398  210\n","1          97  112\n","2          15   13\n","3          12    4\n","4          15    3\n","5           5    0\n","8           7    0"]},"execution_count":20,"metadata":{},"output_type":"execute_result"}],"source":["pd.crosstab(new_df.SibSp, new_df.Survived)"]},{"cell_type":"code","execution_count":21,"id":"fe0533b7","metadata":{"execution":{"iopub.execute_input":"2023-07-05T07:54:10.297214Z","iopub.status.busy":"2023-07-05T07:54:10.296347Z","iopub.status.idle":"2023-07-05T07:54:10.314761Z","shell.execute_reply":"2023-07-05T07:54:10.313934Z"},"papermill":{"duration":0.056959,"end_time":"2023-07-05T07:54:10.316953","exception":false,"start_time":"2023-07-05T07:54:10.259994","status":"completed"},"tags":[]},"outputs":[{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th>Survived</th>\n","      <th>0</th>\n","      <th>1</th>\n","    </tr>\n","    <tr>\n","      <th>Sex</th>\n","      <th></th>\n","      <th></th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>female</th>\n","      <td>81</td>\n","      <td>233</td>\n","    </tr>\n","    <tr>\n","      <th>male</th>\n","      <td>468</td>\n","      <td>109</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["Survived    0    1\n","Sex               \n","female     81  233\n","male      468  109"]},"execution_count":21,"metadata":{},"output_type":"execute_result"}],"source":["pd.crosstab(new_df.Sex, new_df.Survived)"]},{"cell_type":"markdown","id":"27047b23","metadata":{"papermill":{"duration":0.035492,"end_time":"2023-07-05T07:54:10.387282","exception":false,"start_time":"2023-07-05T07:54:10.35179","status":"completed"},"tags":[]},"source":["As we can see women survived more than men. "]},{"cell_type":"markdown","id":"dbde2471","metadata":{"papermill":{"duration":0.036232,"end_time":"2023-07-05T07:54:10.459113","exception":false,"start_time":"2023-07-05T07:54:10.422881","status":"completed"},"tags":[]},"source":["Let's create a new feature from the name feature as these names could be of important individuals and their survivals may show some correlation with the names. "]},{"cell_type":"code","execution_count":22,"id":"e36b2b07","metadata":{"execution":{"iopub.execute_input":"2023-07-05T07:54:10.532285Z","iopub.status.busy":"2023-07-05T07:54:10.531334Z","iopub.status.idle":"2023-07-05T07:54:10.548276Z","shell.execute_reply":"2023-07-05T07:54:10.546946Z"},"papermill":{"duration":0.056909,"end_time":"2023-07-05T07:54:10.550869","exception":false,"start_time":"2023-07-05T07:54:10.49396","status":"completed"},"tags":[]},"outputs":[{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>PassengerId</th>\n","      <th>Survived</th>\n","      <th>Pclass</th>\n","      <th>Name</th>\n","      <th>Sex</th>\n","      <th>Age</th>\n","      <th>SibSp</th>\n","      <th>Parch</th>\n","      <th>Fare</th>\n","      <th>Embarked</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>3</td>\n","      <td>Braund, Mr. Owen Harris</td>\n","      <td>male</td>\n","      <td>22.0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>7.2500</td>\n","      <td>S</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>2</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>Cumings, Mrs. John Bradley (Florence Briggs Th...</td>\n","      <td>female</td>\n","      <td>38.0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>71.2833</td>\n","      <td>C</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>3</td>\n","      <td>1</td>\n","      <td>3</td>\n","      <td>Heikkinen, Miss. Laina</td>\n","      <td>female</td>\n","      <td>26.0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>7.9250</td>\n","      <td>S</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>4</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>Futrelle, Mrs. Jacques Heath (Lily May Peel)</td>\n","      <td>female</td>\n","      <td>35.0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>53.1000</td>\n","      <td>S</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>5</td>\n","      <td>0</td>\n","      <td>3</td>\n","      <td>Allen, Mr. William Henry</td>\n","      <td>male</td>\n","      <td>35.0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>8.0500</td>\n","      <td>S</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["   PassengerId  Survived  Pclass  \\\n","0            1         0       3   \n","1            2         1       1   \n","2            3         1       3   \n","3            4         1       1   \n","4            5         0       3   \n","\n","                                                Name     Sex   Age  SibSp  \\\n","0                            Braund, Mr. Owen Harris    male  22.0      1   \n","1  Cumings, Mrs. John Bradley (Florence Briggs Th...  female  38.0      1   \n","2                             Heikkinen, Miss. Laina  female  26.0      0   \n","3       Futrelle, Mrs. Jacques Heath (Lily May Peel)  female  35.0      1   \n","4                           Allen, Mr. William Henry    male  35.0      0   \n","\n","   Parch     Fare Embarked  \n","0      0   7.2500        S  \n","1      0  71.2833        C  \n","2      0   7.9250        S  \n","3      0  53.1000        S  \n","4      0   8.0500        S  "]},"execution_count":22,"metadata":{},"output_type":"execute_result"}],"source":["new_df.head()"]},{"cell_type":"code","execution_count":23,"id":"c96a64a2","metadata":{"execution":{"iopub.execute_input":"2023-07-05T07:54:10.626127Z","iopub.status.busy":"2023-07-05T07:54:10.62571Z","iopub.status.idle":"2023-07-05T07:54:10.642563Z","shell.execute_reply":"2023-07-05T07:54:10.641688Z"},"papermill":{"duration":0.058525,"end_time":"2023-07-05T07:54:10.644984","exception":false,"start_time":"2023-07-05T07:54:10.586459","status":"completed"},"tags":[]},"outputs":[],"source":["def title_feature(df):\n","    \n","    # Creating new feature\n","    df[\"Title\"] = df.Name.str.extract(' ([A-Za-z]+)\\.', expand=False)\n","    \n","    #Replacing the rare titles with other\n","    df[\"Title\"] = df[\"Title\"].replace(['Lady', 'Countess','Capt', 'Col',\n"," \t'Don', 'Dr', 'Major', 'Rev', 'Sir', 'Jonkheer', 'Dona'], \"Other\")\n","    \n","    #Replacing other titles with common ones =\n","    df[\"Title\"] = df[\"Title\"].replace(\"Mlle\", \"Miss\")\n","    df[\"Title\"] = df[\"Title\"].replace(\"Ms\", \"Miss\")\n","    df[\"Title\"] = df[\"Title\"].replace(\"Mme\", \"Mrs\")\n","    \n","    #converting to ordinal form \n","    map_dict = {\"Mr\": 1, \"Miss\": 2, \"Mrs\": 3, \"Master\": 4, \"Rare\": 5}\n","    df['Title'] = df['Title'].map(map_dict)\n","    df['Title'] = df['Title'].fillna(0)\n","    \n","\n","title_feature(new_df)"]},{"cell_type":"markdown","id":"f9fac567","metadata":{"papermill":{"duration":0.035452,"end_time":"2023-07-05T07:54:10.715809","exception":false,"start_time":"2023-07-05T07:54:10.680357","status":"completed"},"tags":[]},"source":["Although based on the names here we don't seem to seeing any relationship with the title and survival because we don't see any such title biasedness here. "]},{"cell_type":"code","execution_count":24,"id":"fd1d5793","metadata":{"execution":{"iopub.execute_input":"2023-07-05T07:54:10.789671Z","iopub.status.busy":"2023-07-05T07:54:10.789029Z","iopub.status.idle":"2023-07-05T07:54:10.805939Z","shell.execute_reply":"2023-07-05T07:54:10.80484Z"},"papermill":{"duration":0.05675,"end_time":"2023-07-05T07:54:10.80826","exception":false,"start_time":"2023-07-05T07:54:10.75151","status":"completed"},"tags":[]},"outputs":[{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>Survived</th>\n","      <th>Pclass</th>\n","      <th>Sex</th>\n","      <th>Age</th>\n","      <th>SibSp</th>\n","      <th>Parch</th>\n","      <th>Fare</th>\n","      <th>Embarked</th>\n","      <th>Title</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>0</td>\n","      <td>3</td>\n","      <td>male</td>\n","      <td>22.0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>7.2500</td>\n","      <td>S</td>\n","      <td>1.0</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>female</td>\n","      <td>38.0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>71.2833</td>\n","      <td>C</td>\n","      <td>3.0</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>1</td>\n","      <td>3</td>\n","      <td>female</td>\n","      <td>26.0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>7.9250</td>\n","      <td>S</td>\n","      <td>2.0</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>female</td>\n","      <td>35.0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>53.1000</td>\n","      <td>S</td>\n","      <td>3.0</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>0</td>\n","      <td>3</td>\n","      <td>male</td>\n","      <td>35.0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>8.0500</td>\n","      <td>S</td>\n","      <td>1.0</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["   Survived  Pclass     Sex   Age  SibSp  Parch     Fare Embarked  Title\n","0         0       3    male  22.0      1      0   7.2500        S    1.0\n","1         1       1  female  38.0      1      0  71.2833        C    3.0\n","2         1       3  female  26.0      0      0   7.9250        S    2.0\n","3         1       1  female  35.0      1      0  53.1000        S    3.0\n","4         0       3    male  35.0      0      0   8.0500        S    1.0"]},"execution_count":24,"metadata":{},"output_type":"execute_result"}],"source":["# Removing other unnecassary features\n","train_df = new_df.drop([\"Name\", \"PassengerId\"], axis=1)\n","train_df.head()"]},{"cell_type":"code","execution_count":25,"id":"a43bb029","metadata":{"execution":{"iopub.execute_input":"2023-07-05T07:54:10.882794Z","iopub.status.busy":"2023-07-05T07:54:10.88212Z","iopub.status.idle":"2023-07-05T07:54:10.889031Z","shell.execute_reply":"2023-07-05T07:54:10.887925Z"},"papermill":{"duration":0.047123,"end_time":"2023-07-05T07:54:10.891399","exception":false,"start_time":"2023-07-05T07:54:10.844276","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["(891, 9)"]},"execution_count":25,"metadata":{},"output_type":"execute_result"}],"source":["train_df.shape"]},{"cell_type":"code","execution_count":26,"id":"a66f7309","metadata":{"execution":{"iopub.execute_input":"2023-07-05T07:54:10.966443Z","iopub.status.busy":"2023-07-05T07:54:10.965731Z","iopub.status.idle":"2023-07-05T07:54:10.975572Z","shell.execute_reply":"2023-07-05T07:54:10.974631Z"},"papermill":{"duration":0.050533,"end_time":"2023-07-05T07:54:10.978058","exception":false,"start_time":"2023-07-05T07:54:10.927525","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["Survived      0\n","Pclass        0\n","Sex           0\n","Age         177\n","SibSp         0\n","Parch         0\n","Fare          0\n","Embarked      2\n","Title         0\n","dtype: int64"]},"execution_count":26,"metadata":{},"output_type":"execute_result"}],"source":["train_df.isna().sum()"]},{"cell_type":"code","execution_count":27,"id":"d930b5e4","metadata":{"execution":{"iopub.execute_input":"2023-07-05T07:54:11.054507Z","iopub.status.busy":"2023-07-05T07:54:11.053731Z","iopub.status.idle":"2023-07-05T07:54:11.062789Z","shell.execute_reply":"2023-07-05T07:54:11.061665Z"},"papermill":{"duration":0.050677,"end_time":"2023-07-05T07:54:11.066001","exception":false,"start_time":"2023-07-05T07:54:11.015324","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["Survived      int64\n","Pclass        int64\n","Sex          object\n","Age         float64\n","SibSp         int64\n","Parch         int64\n","Fare        float64\n","Embarked     object\n","Title       float64\n","dtype: object"]},"execution_count":27,"metadata":{},"output_type":"execute_result"}],"source":["train_df.dtypes"]},{"cell_type":"code","execution_count":28,"id":"03a26237","metadata":{"execution":{"iopub.execute_input":"2023-07-05T07:54:11.164139Z","iopub.status.busy":"2023-07-05T07:54:11.163144Z","iopub.status.idle":"2023-07-05T07:54:12.357831Z","shell.execute_reply":"2023-07-05T07:54:12.35656Z"},"papermill":{"duration":1.245866,"end_time":"2023-07-05T07:54:12.360768","exception":false,"start_time":"2023-07-05T07:54:11.114902","status":"completed"},"tags":[]},"outputs":[],"source":["# converting sex feature to One Hot Encoder\n","from sklearn.preprocessing import LabelEncoder\n","train_df[\"Sex\"] = LabelEncoder().fit_transform(train_df[\"Sex\"])"]},{"cell_type":"code","execution_count":29,"id":"d7e4c548","metadata":{"execution":{"iopub.execute_input":"2023-07-05T07:54:12.439741Z","iopub.status.busy":"2023-07-05T07:54:12.437413Z","iopub.status.idle":"2023-07-05T07:54:12.446355Z","shell.execute_reply":"2023-07-05T07:54:12.445011Z"},"papermill":{"duration":0.050945,"end_time":"2023-07-05T07:54:12.448874","exception":false,"start_time":"2023-07-05T07:54:12.397929","status":"completed"},"tags":[]},"outputs":[],"source":["# let's convert other categorical variable into numbers as well\n","train_df[\"Embarked\"] = LabelEncoder().fit_transform(train_df[\"Embarked\"])\n"]},{"cell_type":"code","execution_count":30,"id":"8bfa4cce","metadata":{"execution":{"iopub.execute_input":"2023-07-05T07:54:12.527422Z","iopub.status.busy":"2023-07-05T07:54:12.526995Z","iopub.status.idle":"2023-07-05T07:54:12.538378Z","shell.execute_reply":"2023-07-05T07:54:12.536812Z"},"papermill":{"duration":0.054554,"end_time":"2023-07-05T07:54:12.541115","exception":false,"start_time":"2023-07-05T07:54:12.486561","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["Survived      0\n","Pclass        0\n","Sex           0\n","Age         177\n","SibSp         0\n","Parch         0\n","Fare          0\n","Embarked      0\n","Title         0\n","dtype: int64"]},"execution_count":30,"metadata":{},"output_type":"execute_result"}],"source":["train_df.isna().sum()"]},{"cell_type":"code","execution_count":31,"id":"49ed4651","metadata":{"execution":{"iopub.execute_input":"2023-07-05T07:54:12.623906Z","iopub.status.busy":"2023-07-05T07:54:12.622221Z","iopub.status.idle":"2023-07-05T07:54:12.633095Z","shell.execute_reply":"2023-07-05T07:54:12.631648Z"},"papermill":{"duration":0.056611,"end_time":"2023-07-05T07:54:12.636563","exception":false,"start_time":"2023-07-05T07:54:12.579952","status":"completed"},"tags":[]},"outputs":[],"source":["# We can now fill the missing values in Age \n","train_df.fillna({\"Age\": df[\"Age\"].median()}, inplace=True)"]},{"cell_type":"code","execution_count":32,"id":"d4ae7cff","metadata":{"execution":{"iopub.execute_input":"2023-07-05T07:54:12.71608Z","iopub.status.busy":"2023-07-05T07:54:12.715343Z","iopub.status.idle":"2023-07-05T07:54:12.727352Z","shell.execute_reply":"2023-07-05T07:54:12.726145Z"},"papermill":{"duration":0.055304,"end_time":"2023-07-05T07:54:12.729813","exception":false,"start_time":"2023-07-05T07:54:12.674509","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["Survived    0\n","Pclass      0\n","Sex         0\n","Age         0\n","SibSp       0\n","Parch       0\n","Fare        0\n","Embarked    0\n","Title       0\n","dtype: int64"]},"execution_count":32,"metadata":{},"output_type":"execute_result"}],"source":["train_df.isna().sum()"]},{"cell_type":"code","execution_count":33,"id":"da43832a","metadata":{"execution":{"iopub.execute_input":"2023-07-05T07:54:12.813127Z","iopub.status.busy":"2023-07-05T07:54:12.811838Z","iopub.status.idle":"2023-07-05T07:54:12.821222Z","shell.execute_reply":"2023-07-05T07:54:12.819691Z"},"papermill":{"duration":0.053973,"end_time":"2023-07-05T07:54:12.824493","exception":false,"start_time":"2023-07-05T07:54:12.77052","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["(891, 9)"]},"execution_count":33,"metadata":{},"output_type":"execute_result"}],"source":["train_df.shape"]},{"cell_type":"markdown","id":"c1573a1a","metadata":{"papermill":{"duration":0.037771,"end_time":"2023-07-05T07:54:12.900795","exception":false,"start_time":"2023-07-05T07:54:12.863024","status":"completed"},"tags":[]},"source":["Well now we have removed our missing values. We can now create our models and start. Before we do that let's create a training and validation set so that we can evaluate our model and once we are done we can then test our model on test data. This is done to prevent the data snooping. "]},{"cell_type":"code","execution_count":34,"id":"f2bce29c","metadata":{"execution":{"iopub.execute_input":"2023-07-05T07:54:12.981232Z","iopub.status.busy":"2023-07-05T07:54:12.98084Z","iopub.status.idle":"2023-07-05T07:54:12.988197Z","shell.execute_reply":"2023-07-05T07:54:12.986558Z"},"papermill":{"duration":0.051664,"end_time":"2023-07-05T07:54:12.990866","exception":false,"start_time":"2023-07-05T07:54:12.939202","status":"completed"},"tags":[]},"outputs":[],"source":["X = train_df.drop(\"Survived\", axis=1)"]},{"cell_type":"code","execution_count":35,"id":"2521e184","metadata":{"execution":{"iopub.execute_input":"2023-07-05T07:54:13.073828Z","iopub.status.busy":"2023-07-05T07:54:13.073161Z","iopub.status.idle":"2023-07-05T07:54:13.079121Z","shell.execute_reply":"2023-07-05T07:54:13.077443Z"},"papermill":{"duration":0.051284,"end_time":"2023-07-05T07:54:13.082131","exception":false,"start_time":"2023-07-05T07:54:13.030847","status":"completed"},"tags":[]},"outputs":[],"source":["y = train_df[\"Survived\"]"]},{"cell_type":"code","execution_count":36,"id":"eaf880d9","metadata":{"execution":{"iopub.execute_input":"2023-07-05T07:54:13.17024Z","iopub.status.busy":"2023-07-05T07:54:13.169479Z","iopub.status.idle":"2023-07-05T07:54:13.533831Z","shell.execute_reply":"2023-07-05T07:54:13.532157Z"},"papermill":{"duration":0.411508,"end_time":"2023-07-05T07:54:13.537048","exception":false,"start_time":"2023-07-05T07:54:13.12554","status":"completed"},"tags":[]},"outputs":[],"source":["# creating training and validation set \n","from sklearn.model_selection import train_test_split\n","\n","X_train, X_val, y_train, y_val = train_test_split(X, y, test_size = 0.05, random_state = 42)"]},{"cell_type":"code","execution_count":37,"id":"7c2489a5","metadata":{"execution":{"iopub.execute_input":"2023-07-05T07:54:13.623168Z","iopub.status.busy":"2023-07-05T07:54:13.622381Z","iopub.status.idle":"2023-07-05T07:54:13.629784Z","shell.execute_reply":"2023-07-05T07:54:13.628614Z"},"papermill":{"duration":0.05368,"end_time":"2023-07-05T07:54:13.632734","exception":false,"start_time":"2023-07-05T07:54:13.579054","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["((846, 8), (846,), (45, 8), (45,))"]},"execution_count":37,"metadata":{},"output_type":"execute_result"}],"source":["X_train.shape, y_train.shape, X_val.shape, y_val.shape"]},{"cell_type":"markdown","id":"eb1dc2b6","metadata":{"papermill":{"duration":0.040487,"end_time":"2023-07-05T07:54:13.713271","exception":false,"start_time":"2023-07-05T07:54:13.672784","status":"completed"},"tags":[]},"source":["## Training Our Models"]},{"cell_type":"markdown","id":"d5c9e921","metadata":{"papermill":{"duration":0.037928,"end_time":"2023-07-05T07:54:13.790304","exception":false,"start_time":"2023-07-05T07:54:13.752376","status":"completed"},"tags":[]},"source":["Please note this is a classification problem not prediction problem. Obviously one can frame any problem in prediction manner but here we will be using classification models. "]},{"cell_type":"markdown","id":"15c8ad46","metadata":{"papermill":{"duration":0.040896,"end_time":"2023-07-05T07:54:13.867891","exception":false,"start_time":"2023-07-05T07:54:13.826995","status":"completed"},"tags":[]},"source":["### Logistic Regression"]},{"cell_type":"code","execution_count":38,"id":"04e4fa5b","metadata":{"execution":{"iopub.execute_input":"2023-07-05T07:54:13.949376Z","iopub.status.busy":"2023-07-05T07:54:13.948986Z","iopub.status.idle":"2023-07-05T07:54:14.128567Z","shell.execute_reply":"2023-07-05T07:54:14.126765Z"},"papermill":{"duration":0.223828,"end_time":"2023-07-05T07:54:14.131315","exception":false,"start_time":"2023-07-05T07:54:13.907487","status":"completed"},"tags":[]},"outputs":[{"data":{"text/html":["<style>#sk-container-id-1 {color: black;background-color: white;}#sk-container-id-1 pre{padding: 0;}#sk-container-id-1 div.sk-toggleable {background-color: white;}#sk-container-id-1 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-1 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-1 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-1 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-1 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-1 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-1 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-1 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-1 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-1 div.sk-item {position: relative;z-index: 1;}#sk-container-id-1 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-1 div.sk-item::before, #sk-container-id-1 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-1 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-1 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-1 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-1 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-1 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-1 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-1 div.sk-label-container {text-align: center;}#sk-container-id-1 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-1 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>LogisticRegression(max_iter=200)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-1\" type=\"checkbox\" checked><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">LogisticRegression</label><div class=\"sk-toggleable__content\"><pre>LogisticRegression(max_iter=200)</pre></div></div></div></div></div>"],"text/plain":["LogisticRegression(max_iter=200)"]},"execution_count":38,"metadata":{},"output_type":"execute_result"}],"source":["# Logistic Regression \n","from sklearn.linear_model import LogisticRegression\n","model_1 = LogisticRegression(max_iter=200)\n","model_1.fit(X_train, y_train)"]},{"cell_type":"code","execution_count":39,"id":"fc40afaf","metadata":{"execution":{"iopub.execute_input":"2023-07-05T07:54:14.216462Z","iopub.status.busy":"2023-07-05T07:54:14.215673Z","iopub.status.idle":"2023-07-05T07:54:14.225281Z","shell.execute_reply":"2023-07-05T07:54:14.224018Z"},"papermill":{"duration":0.054979,"end_time":"2023-07-05T07:54:14.227864","exception":false,"start_time":"2023-07-05T07:54:14.172885","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["array([1, 0, 0, 1, 1, 1, 1, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0,\n","       1, 0, 0, 0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0,\n","       1])"]},"execution_count":39,"metadata":{},"output_type":"execute_result"}],"source":["y_pred = model_1.predict(X_val)\n","y_pred"]},{"cell_type":"code","execution_count":40,"id":"879b168b","metadata":{"execution":{"iopub.execute_input":"2023-07-05T07:54:14.308464Z","iopub.status.busy":"2023-07-05T07:54:14.307733Z","iopub.status.idle":"2023-07-05T07:54:14.319235Z","shell.execute_reply":"2023-07-05T07:54:14.317825Z"},"papermill":{"duration":0.056475,"end_time":"2023-07-05T07:54:14.322297","exception":false,"start_time":"2023-07-05T07:54:14.265822","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["array([[0.41932343, 0.58067657],\n","       [0.80438301, 0.19561699],\n","       [0.89923591, 0.10076409],\n","       [0.16007073, 0.83992927],\n","       [0.31989597, 0.68010403],\n","       [0.06400655, 0.93599345],\n","       [0.35473361, 0.64526639],\n","       [0.95112478, 0.04887522],\n","       [0.29108168, 0.70891832],\n","       [0.11680338, 0.88319662],\n","       [0.69943719, 0.30056281],\n","       [0.94114644, 0.05885356],\n","       [0.78564787, 0.21435213],\n","       [0.87174959, 0.12825041],\n","       [0.82164968, 0.17835032],\n","       [0.07805759, 0.92194241],\n","       [0.72471182, 0.27528818],\n","       [0.35467595, 0.64532405],\n","       [0.90831597, 0.09168403],\n","       [0.65404071, 0.34595929],\n","       [0.90772233, 0.09227767],\n","       [0.59908299, 0.40091701],\n","       [0.47397325, 0.52602675],\n","       [0.89886058, 0.10113942],\n","       [0.91391546, 0.08608454],\n","       [0.72198776, 0.27801224],\n","       [0.73316271, 0.26683729],\n","       [0.80312863, 0.19687137],\n","       [0.69177333, 0.30822667],\n","       [0.43368523, 0.56631477],\n","       [0.89701934, 0.10298066],\n","       [0.38098256, 0.61901744],\n","       [0.43164683, 0.56835317],\n","       [0.4160953 , 0.5839047 ],\n","       [0.89470477, 0.10529523],\n","       [0.90678792, 0.09321208],\n","       [0.55657055, 0.44342945],\n","       [0.35473361, 0.64526639],\n","       [0.04969858, 0.95030142],\n","       [0.91555395, 0.08444605],\n","       [0.86752511, 0.13247489],\n","       [0.94608433, 0.05391567],\n","       [0.91551602, 0.08448398],\n","       [0.89331358, 0.10668642],\n","       [0.24632988, 0.75367012]])"]},"execution_count":40,"metadata":{},"output_type":"execute_result"}],"source":["y_predict_prob = model_1.predict_proba(X_val)\n","y_predict_prob"]},{"cell_type":"code","execution_count":41,"id":"8aa39fc4","metadata":{"execution":{"iopub.execute_input":"2023-07-05T07:54:14.407949Z","iopub.status.busy":"2023-07-05T07:54:14.406707Z","iopub.status.idle":"2023-07-05T07:54:14.416767Z","shell.execute_reply":"2023-07-05T07:54:14.415924Z"},"papermill":{"duration":0.056842,"end_time":"2023-07-05T07:54:14.419097","exception":false,"start_time":"2023-07-05T07:54:14.362255","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["80.0"]},"execution_count":41,"metadata":{},"output_type":"execute_result"}],"source":["score_1 = model_1.score(X_val, y_val)\n","round(score_1*100, 2)"]},{"cell_type":"markdown","id":"2ffda335","metadata":{"papermill":{"duration":0.043613,"end_time":"2023-07-05T07:54:14.504171","exception":false,"start_time":"2023-07-05T07:54:14.460558","status":"completed"},"tags":[]},"source":["##### Cross Validation"]},{"cell_type":"code","execution_count":42,"id":"1a6125ec","metadata":{"execution":{"iopub.execute_input":"2023-07-05T07:54:14.588082Z","iopub.status.busy":"2023-07-05T07:54:14.586929Z","iopub.status.idle":"2023-07-05T07:54:14.827074Z","shell.execute_reply":"2023-07-05T07:54:14.824651Z"},"papermill":{"duration":0.28403,"end_time":"2023-07-05T07:54:14.829948","exception":false,"start_time":"2023-07-05T07:54:14.545918","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["0.8215303496327915"]},"execution_count":42,"metadata":{},"output_type":"execute_result"}],"source":["from sklearn.model_selection import cross_val_score\n","log_reg = LogisticRegression(max_iter=200, random_state = 42)\n","scores = cross_val_score(log_reg, X, y, cv=5) \n","scores.mean()"]},{"cell_type":"markdown","id":"44c44e1f","metadata":{"papermill":{"duration":0.040022,"end_time":"2023-07-05T07:54:14.911142","exception":false,"start_time":"2023-07-05T07:54:14.87112","status":"completed"},"tags":[]},"source":["### Support Vector Machines"]},{"cell_type":"code","execution_count":43,"id":"c58dbdcc","metadata":{"execution":{"iopub.execute_input":"2023-07-05T07:54:14.995436Z","iopub.status.busy":"2023-07-05T07:54:14.994274Z","iopub.status.idle":"2023-07-05T07:54:15.032253Z","shell.execute_reply":"2023-07-05T07:54:15.030572Z"},"papermill":{"duration":0.083684,"end_time":"2023-07-05T07:54:15.035977","exception":false,"start_time":"2023-07-05T07:54:14.952293","status":"completed"},"tags":[]},"outputs":[],"source":["from sklearn.svm import SVC\n","\n","model_2 = SVC().fit(X_train, y_train)"]},{"cell_type":"code","execution_count":44,"id":"d172a79e","metadata":{"execution":{"iopub.execute_input":"2023-07-05T07:54:15.121406Z","iopub.status.busy":"2023-07-05T07:54:15.120989Z","iopub.status.idle":"2023-07-05T07:54:15.134117Z","shell.execute_reply":"2023-07-05T07:54:15.133033Z"},"papermill":{"duration":0.060738,"end_time":"2023-07-05T07:54:15.137104","exception":false,"start_time":"2023-07-05T07:54:15.076366","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["array([0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n","       0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0,\n","       0])"]},"execution_count":44,"metadata":{},"output_type":"execute_result"}],"source":["y_pred_2 = model_2.predict(X_val)\n","y_pred_2"]},{"cell_type":"code","execution_count":45,"id":"8aa3b6ca","metadata":{"execution":{"iopub.execute_input":"2023-07-05T07:54:15.227933Z","iopub.status.busy":"2023-07-05T07:54:15.227302Z","iopub.status.idle":"2023-07-05T07:54:15.24093Z","shell.execute_reply":"2023-07-05T07:54:15.239059Z"},"papermill":{"duration":0.064743,"end_time":"2023-07-05T07:54:15.24387","exception":false,"start_time":"2023-07-05T07:54:15.179127","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["0.6"]},"execution_count":45,"metadata":{},"output_type":"execute_result"}],"source":["score_2 = model_2.score(X_val, y_val)\n","score_2"]},{"cell_type":"markdown","id":"3c3838b5","metadata":{"papermill":{"duration":0.041821,"end_time":"2023-07-05T07:54:15.332238","exception":false,"start_time":"2023-07-05T07:54:15.290417","status":"completed"},"tags":[]},"source":["##### Cross Val Score"]},{"cell_type":"code","execution_count":46,"id":"0cd345cf","metadata":{"execution":{"iopub.execute_input":"2023-07-05T07:54:15.420994Z","iopub.status.busy":"2023-07-05T07:54:15.420191Z","iopub.status.idle":"2023-07-05T07:54:15.591314Z","shell.execute_reply":"2023-07-05T07:54:15.589848Z"},"papermill":{"duration":0.220046,"end_time":"2023-07-05T07:54:15.594891","exception":false,"start_time":"2023-07-05T07:54:15.374845","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["0.6734982110350888"]},"execution_count":46,"metadata":{},"output_type":"execute_result"}],"source":["SVM = SVC(random_state=42)\n","scores = cross_val_score(SVM, X, y, cv=5)\n","scores.mean()"]},{"cell_type":"markdown","id":"e96eda73","metadata":{"papermill":{"duration":0.044168,"end_time":"2023-07-05T07:54:15.68358","exception":false,"start_time":"2023-07-05T07:54:15.639412","status":"completed"},"tags":[]},"source":["### SGD"]},{"cell_type":"code","execution_count":47,"id":"81424c72","metadata":{"execution":{"iopub.execute_input":"2023-07-05T07:54:15.769872Z","iopub.status.busy":"2023-07-05T07:54:15.769148Z","iopub.status.idle":"2023-07-05T07:54:15.78903Z","shell.execute_reply":"2023-07-05T07:54:15.787377Z"},"papermill":{"duration":0.066196,"end_time":"2023-07-05T07:54:15.792184","exception":false,"start_time":"2023-07-05T07:54:15.725988","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["array([1, 0, 0, 1, 0, 1, 0, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0,\n","       0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0,\n","       0])"]},"execution_count":47,"metadata":{},"output_type":"execute_result"}],"source":["from sklearn.linear_model import SGDClassifier\n","model_3 = SGDClassifier().fit(X_train, y_train)\n","y_pred_3 = model_3.predict(X_val)\n","y_pred_3"]},{"cell_type":"code","execution_count":48,"id":"84314089","metadata":{"execution":{"iopub.execute_input":"2023-07-05T07:54:15.88213Z","iopub.status.busy":"2023-07-05T07:54:15.881701Z","iopub.status.idle":"2023-07-05T07:54:15.894422Z","shell.execute_reply":"2023-07-05T07:54:15.89262Z"},"papermill":{"duration":0.059998,"end_time":"2023-07-05T07:54:15.897215","exception":false,"start_time":"2023-07-05T07:54:15.837217","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["75.56"]},"execution_count":48,"metadata":{},"output_type":"execute_result"}],"source":["score_3 = model_3.score(X_val, y_val)\n","round(score_3*100, 2)"]},{"cell_type":"markdown","id":"ed0f94fb","metadata":{"papermill":{"duration":0.042608,"end_time":"2023-07-05T07:54:15.984501","exception":false,"start_time":"2023-07-05T07:54:15.941893","status":"completed"},"tags":[]},"source":["You can also try by applying different losses here. "]},{"cell_type":"code","execution_count":49,"id":"e2a01a0b","metadata":{"execution":{"iopub.execute_input":"2023-07-05T07:54:16.070212Z","iopub.status.busy":"2023-07-05T07:54:16.069789Z","iopub.status.idle":"2023-07-05T07:54:16.089076Z","shell.execute_reply":"2023-07-05T07:54:16.087739Z"},"papermill":{"duration":0.065135,"end_time":"2023-07-05T07:54:16.091853","exception":false,"start_time":"2023-07-05T07:54:16.026718","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["0.7333333333333333"]},"execution_count":49,"metadata":{},"output_type":"execute_result"}],"source":["model_3_1 = SGDClassifier(loss = \"log_loss\").fit(X_train, y_train)\n","y_pred_3_1 = model_3_1.predict(X_val)\n","score_3_1 = model_3_1.score(X_val, y_val)\n","score_3_1"]},{"cell_type":"markdown","id":"6a58e15a","metadata":{"papermill":{"duration":0.041024,"end_time":"2023-07-05T07:54:16.175672","exception":false,"start_time":"2023-07-05T07:54:16.134648","status":"completed"},"tags":[]},"source":["##### Cross Val Score"]},{"cell_type":"code","execution_count":50,"id":"c3177ff9","metadata":{"execution":{"iopub.execute_input":"2023-07-05T07:54:16.261793Z","iopub.status.busy":"2023-07-05T07:54:16.261357Z","iopub.status.idle":"2023-07-05T07:54:16.320372Z","shell.execute_reply":"2023-07-05T07:54:16.318792Z"},"papermill":{"duration":0.10616,"end_time":"2023-07-05T07:54:16.323203","exception":false,"start_time":"2023-07-05T07:54:16.217043","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["0.6913125353085181"]},"execution_count":50,"metadata":{},"output_type":"execute_result"}],"source":["sgd = SGDClassifier(random_state = 42)\n","scores = cross_val_score(sgd, X, y, cv=5)\n","scores.mean()"]},{"cell_type":"markdown","id":"85b0ffce","metadata":{"papermill":{"duration":0.042263,"end_time":"2023-07-05T07:54:16.407902","exception":false,"start_time":"2023-07-05T07:54:16.365639","status":"completed"},"tags":[]},"source":["### Decision Tree Classifier"]},{"cell_type":"code","execution_count":51,"id":"24dd5891","metadata":{"execution":{"iopub.execute_input":"2023-07-05T07:54:16.496678Z","iopub.status.busy":"2023-07-05T07:54:16.496234Z","iopub.status.idle":"2023-07-05T07:54:16.708802Z","shell.execute_reply":"2023-07-05T07:54:16.70716Z"},"papermill":{"duration":0.260441,"end_time":"2023-07-05T07:54:16.712204","exception":false,"start_time":"2023-07-05T07:54:16.451763","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["array([1, 0, 0, 1, 0, 1, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1,\n","       0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0,\n","       0])"]},"execution_count":51,"metadata":{},"output_type":"execute_result"}],"source":["from sklearn.tree import DecisionTreeClassifier\n","model_4 = DecisionTreeClassifier().fit(X_train, y_train)\n","y_pred_4 = model_4.predict(X_val)\n","y_pred_4"]},{"cell_type":"code","execution_count":52,"id":"bf6ce55d","metadata":{"execution":{"iopub.execute_input":"2023-07-05T07:54:16.794829Z","iopub.status.busy":"2023-07-05T07:54:16.794387Z","iopub.status.idle":"2023-07-05T07:54:16.805611Z","shell.execute_reply":"2023-07-05T07:54:16.804708Z"},"papermill":{"duration":0.056362,"end_time":"2023-07-05T07:54:16.80884","exception":false,"start_time":"2023-07-05T07:54:16.752478","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["82.22"]},"execution_count":52,"metadata":{},"output_type":"execute_result"}],"source":["score_4 = model_4.score(X_val, y_val)\n","round(score_4 *100, 2)"]},{"cell_type":"markdown","id":"f9e6be0c","metadata":{"papermill":{"duration":0.042287,"end_time":"2023-07-05T07:54:16.895231","exception":false,"start_time":"2023-07-05T07:54:16.852944","status":"completed"},"tags":[]},"source":["##### Cross Val Score"]},{"cell_type":"code","execution_count":53,"id":"712bef10","metadata":{"execution":{"iopub.execute_input":"2023-07-05T07:54:16.983862Z","iopub.status.busy":"2023-07-05T07:54:16.982983Z","iopub.status.idle":"2023-07-05T07:54:17.03923Z","shell.execute_reply":"2023-07-05T07:54:17.038064Z"},"papermill":{"duration":0.103546,"end_time":"2023-07-05T07:54:17.042393","exception":false,"start_time":"2023-07-05T07:54:16.938847","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["0.7744586027242483"]},"execution_count":53,"metadata":{},"output_type":"execute_result"}],"source":["dt = DecisionTreeClassifier(random_state = 42)\n","scores = cross_val_score(dt, X, y, cv = 5)\n","scores.mean()"]},{"cell_type":"markdown","id":"a54e92b6","metadata":{"papermill":{"duration":0.045075,"end_time":"2023-07-05T07:54:17.129728","exception":false,"start_time":"2023-07-05T07:54:17.084653","status":"completed"},"tags":[]},"source":["### Random Forest Classifier"]},{"cell_type":"code","execution_count":54,"id":"d7b95333","metadata":{"execution":{"iopub.execute_input":"2023-07-05T07:54:17.21721Z","iopub.status.busy":"2023-07-05T07:54:17.216423Z","iopub.status.idle":"2023-07-05T07:54:17.688253Z","shell.execute_reply":"2023-07-05T07:54:17.686215Z"},"papermill":{"duration":0.520292,"end_time":"2023-07-05T07:54:17.692428","exception":false,"start_time":"2023-07-05T07:54:17.172136","status":"completed"},"tags":[]},"outputs":[],"source":["from sklearn.ensemble import RandomForestClassifier\n","\n","model_5 = RandomForestClassifier().fit(X_train, y_train)\n","y_pred_5 = model_5.predict(X_val)"]},{"cell_type":"code","execution_count":55,"id":"eb272b04","metadata":{"execution":{"iopub.execute_input":"2023-07-05T07:54:17.783369Z","iopub.status.busy":"2023-07-05T07:54:17.782938Z","iopub.status.idle":"2023-07-05T07:54:17.789845Z","shell.execute_reply":"2023-07-05T07:54:17.788695Z"},"papermill":{"duration":0.056706,"end_time":"2023-07-05T07:54:17.792185","exception":false,"start_time":"2023-07-05T07:54:17.735479","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["array([1, 0, 0, 1, 0, 1, 1, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 1,\n","       0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 1, 1, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0,\n","       0])"]},"execution_count":55,"metadata":{},"output_type":"execute_result"}],"source":["y_pred_5"]},{"cell_type":"code","execution_count":56,"id":"496fe6ba","metadata":{"execution":{"iopub.execute_input":"2023-07-05T07:54:17.886002Z","iopub.status.busy":"2023-07-05T07:54:17.885561Z","iopub.status.idle":"2023-07-05T07:54:17.911896Z","shell.execute_reply":"2023-07-05T07:54:17.910259Z"},"papermill":{"duration":0.077913,"end_time":"2023-07-05T07:54:17.914414","exception":false,"start_time":"2023-07-05T07:54:17.836501","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["0.8222222222222222"]},"execution_count":56,"metadata":{},"output_type":"execute_result"}],"source":["score_5 = model_5.score(X_val, y_val)\n","score_5"]},{"cell_type":"markdown","id":"129d1953","metadata":{"papermill":{"duration":0.044698,"end_time":"2023-07-05T07:54:18.005516","exception":false,"start_time":"2023-07-05T07:54:17.960818","status":"completed"},"tags":[]},"source":["##### Cross Validation"]},{"cell_type":"code","execution_count":57,"id":"ec835764","metadata":{"execution":{"iopub.execute_input":"2023-07-05T07:54:18.094471Z","iopub.status.busy":"2023-07-05T07:54:18.093729Z","iopub.status.idle":"2023-07-05T07:54:19.657317Z","shell.execute_reply":"2023-07-05T07:54:19.656097Z"},"papermill":{"duration":1.614367,"end_time":"2023-07-05T07:54:19.660898","exception":false,"start_time":"2023-07-05T07:54:18.046531","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["0.8036218693114053"]},"execution_count":57,"metadata":{},"output_type":"execute_result"}],"source":["rfc = RandomForestClassifier()\n","scores = cross_val_score(rfc, X, y, cv=5)\n","scores.mean()"]},{"cell_type":"markdown","id":"1f4d2958","metadata":{"papermill":{"duration":0.04517,"end_time":"2023-07-05T07:54:19.751423","exception":false,"start_time":"2023-07-05T07:54:19.706253","status":"completed"},"tags":[]},"source":["### K-Nearest Neighbors "]},{"cell_type":"code","execution_count":58,"id":"b525b9be","metadata":{"execution":{"iopub.execute_input":"2023-07-05T07:54:19.839416Z","iopub.status.busy":"2023-07-05T07:54:19.838157Z","iopub.status.idle":"2023-07-05T07:54:19.854584Z","shell.execute_reply":"2023-07-05T07:54:19.853491Z"},"papermill":{"duration":0.06264,"end_time":"2023-07-05T07:54:19.857045","exception":false,"start_time":"2023-07-05T07:54:19.794405","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["array([1, 0, 0, 0, 1, 1, 1, 0, 1, 1, 1, 0, 0, 0, 0, 0, 1, 1, 0, 1, 0, 1,\n","       0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0,\n","       0])"]},"execution_count":58,"metadata":{},"output_type":"execute_result"}],"source":["from sklearn.neighbors import KNeighborsClassifier\n","\n","model_6 = KNeighborsClassifier().fit(X_train, y_train)\n","y_pred_6 = model_6.predict(X_val)\n","y_pred_6"]},{"cell_type":"code","execution_count":59,"id":"1259766d","metadata":{"execution":{"iopub.execute_input":"2023-07-05T07:54:19.941283Z","iopub.status.busy":"2023-07-05T07:54:19.940488Z","iopub.status.idle":"2023-07-05T07:54:19.953541Z","shell.execute_reply":"2023-07-05T07:54:19.952272Z"},"papermill":{"duration":0.058318,"end_time":"2023-07-05T07:54:19.955831","exception":false,"start_time":"2023-07-05T07:54:19.897513","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["0.8"]},"execution_count":59,"metadata":{},"output_type":"execute_result"}],"source":["score_6 = model_6.score(X_val, y_val)\n","score_6"]},{"cell_type":"markdown","id":"0ad332c0","metadata":{"papermill":{"duration":0.039871,"end_time":"2023-07-05T07:54:20.036444","exception":false,"start_time":"2023-07-05T07:54:19.996573","status":"completed"},"tags":[]},"source":["checking with different parameters"]},{"cell_type":"code","execution_count":60,"id":"5ee5667e","metadata":{"execution":{"iopub.execute_input":"2023-07-05T07:54:20.131307Z","iopub.status.busy":"2023-07-05T07:54:20.130628Z","iopub.status.idle":"2023-07-05T07:54:21.157106Z","shell.execute_reply":"2023-07-05T07:54:21.155699Z"},"papermill":{"duration":1.082027,"end_time":"2023-07-05T07:54:21.160986","exception":false,"start_time":"2023-07-05T07:54:20.078959","status":"completed"},"tags":[]},"outputs":[],"source":["# try to hypertune the paramater to see if the performance improves\n","\n","train_scores = []\n","val_scores = []\n","neighbors = range(1, 21)\n","\n","knn = KNeighborsClassifier()\n","\n","for i in neighbors:\n","    knn.set_params(n_neighbors = i)\n","    knn.fit(X_train, y_train)\n","    train_scores.append(knn.score(X_train, y_train))\n","    val_scores.append(knn.score(X_val, y_val))\n","    \n"]},{"cell_type":"code","execution_count":61,"id":"a41b2e87","metadata":{"execution":{"iopub.execute_input":"2023-07-05T07:54:21.251717Z","iopub.status.busy":"2023-07-05T07:54:21.250868Z","iopub.status.idle":"2023-07-05T07:54:21.260021Z","shell.execute_reply":"2023-07-05T07:54:21.258576Z"},"papermill":{"duration":0.055764,"end_time":"2023-07-05T07:54:21.262465","exception":false,"start_time":"2023-07-05T07:54:21.206701","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["[0.9680851063829787,\n"," 0.8451536643026005,\n"," 0.8486997635933806,\n"," 0.8297872340425532,\n"," 0.8191489361702128,\n"," 0.7966903073286052,\n"," 0.7966903073286052,\n"," 0.789598108747045,\n"," 0.7907801418439716,\n"," 0.7706855791962175,\n"," 0.7635933806146572,\n"," 0.7683215130023641,\n"," 0.7683215130023641,\n"," 0.7600472813238771,\n"," 0.764775413711584,\n"," 0.7529550827423168,\n"," 0.74822695035461,\n"," 0.7387706855791962,\n"," 0.7411347517730497,\n"," 0.7458628841607565]"]},"execution_count":61,"metadata":{},"output_type":"execute_result"}],"source":["train_scores"]},{"cell_type":"code","execution_count":62,"id":"7626d26c","metadata":{"execution":{"iopub.execute_input":"2023-07-05T07:54:21.349365Z","iopub.status.busy":"2023-07-05T07:54:21.348335Z","iopub.status.idle":"2023-07-05T07:54:21.356149Z","shell.execute_reply":"2023-07-05T07:54:21.354964Z"},"papermill":{"duration":0.054465,"end_time":"2023-07-05T07:54:21.358611","exception":false,"start_time":"2023-07-05T07:54:21.304146","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["[0.7111111111111111,\n"," 0.6222222222222222,\n"," 0.8,\n"," 0.7555555555555555,\n"," 0.8,\n"," 0.7777777777777778,\n"," 0.7555555555555555,\n"," 0.6888888888888889,\n"," 0.7555555555555555,\n"," 0.7333333333333333,\n"," 0.6666666666666666,\n"," 0.7111111111111111,\n"," 0.7111111111111111,\n"," 0.7333333333333333,\n"," 0.7111111111111111,\n"," 0.7111111111111111,\n"," 0.7111111111111111,\n"," 0.6888888888888889,\n"," 0.6888888888888889,\n"," 0.6666666666666666]"]},"execution_count":62,"metadata":{},"output_type":"execute_result"}],"source":["val_scores"]},{"cell_type":"code","execution_count":63,"id":"acfd1970","metadata":{"execution":{"iopub.execute_input":"2023-07-05T07:54:21.44569Z","iopub.status.busy":"2023-07-05T07:54:21.445143Z","iopub.status.idle":"2023-07-05T07:54:21.891883Z","shell.execute_reply":"2023-07-05T07:54:21.890765Z"},"papermill":{"duration":0.493283,"end_time":"2023-07-05T07:54:21.89479","exception":false,"start_time":"2023-07-05T07:54:21.401507","status":"completed"},"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["Max score on validation set is: 0.80%\n"]},{"data":{"image/png":"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","text/plain":["<Figure size 640x480 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["# let's create a graph to see how our model performed on test and val data\n","\n","plt.plot(neighbors, train_scores, label =\"Train Score\")\n","plt.plot(neighbors, val_scores, label = \"Val Score\")\n","plt.xticks(np.arange(1, 21, 1))\n","plt.xlabel(\"Number of Neighbors\")\n","plt.ylabel(\"Model Score\")\n","plt.legend()\n","\n","print(f\"Max score on validation set is: {max(val_scores):.2f}%\")"]},{"cell_type":"markdown","id":"3565d4c5","metadata":{"papermill":{"duration":0.044349,"end_time":"2023-07-05T07:54:21.98227","exception":false,"start_time":"2023-07-05T07:54:21.937921","status":"completed"},"tags":[]},"source":["##### cross val scores"]},{"cell_type":"code","execution_count":64,"id":"58018bdc","metadata":{"execution":{"iopub.execute_input":"2023-07-05T07:54:22.069958Z","iopub.status.busy":"2023-07-05T07:54:22.069573Z","iopub.status.idle":"2023-07-05T07:54:22.15676Z","shell.execute_reply":"2023-07-05T07:54:22.155029Z"},"papermill":{"duration":0.134568,"end_time":"2023-07-05T07:54:22.159892","exception":false,"start_time":"2023-07-05T07:54:22.025324","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["0.7149582574854059"]},"execution_count":64,"metadata":{},"output_type":"execute_result"}],"source":["knc = KNeighborsClassifier()\n","scores = cross_val_score(knc, X, y, cv = 5)\n","scores.mean()"]},{"cell_type":"markdown","id":"a7954d3e","metadata":{"papermill":{"duration":0.046024,"end_time":"2023-07-05T07:54:22.249854","exception":false,"start_time":"2023-07-05T07:54:22.20383","status":"completed"},"tags":[]},"source":["As we can see the accuracy is max 80% without cross val and 71% with cross val which is fine but not as good as our Random Forest. So, we will discard this. "]},{"cell_type":"markdown","id":"566de9e7","metadata":{"papermill":{"duration":0.043854,"end_time":"2023-07-05T07:54:22.337475","exception":false,"start_time":"2023-07-05T07:54:22.293621","status":"completed"},"tags":[]},"source":["Let's select the Random Forest Classifier and hypertune to see what we can achieve"]},{"cell_type":"markdown","id":"d64bd4e9","metadata":{"papermill":{"duration":0.045154,"end_time":"2023-07-05T07:54:22.426776","exception":false,"start_time":"2023-07-05T07:54:22.381622","status":"completed"},"tags":[]},"source":["## Hyperparameter Tuning "]},{"cell_type":"code","execution_count":65,"id":"f7585687","metadata":{"execution":{"iopub.execute_input":"2023-07-05T07:54:22.517703Z","iopub.status.busy":"2023-07-05T07:54:22.516833Z","iopub.status.idle":"2023-07-05T08:00:38.563645Z","shell.execute_reply":"2023-07-05T08:00:38.561789Z"},"papermill":{"duration":376.095065,"end_time":"2023-07-05T08:00:38.566253","exception":false,"start_time":"2023-07-05T07:54:22.471188","status":"completed"},"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["Fitting 5 folds for each of 720 candidates, totalling 3600 fits\n","[CV] END max_depth=None, min_samples_leaf=1, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=1, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=1, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=1, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=1, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=1, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=1, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=1, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=1, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=1, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=1, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=1, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=1, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=1, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=1, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=1, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=1, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=1, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=1, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=1, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=1, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=1, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=1, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=1, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=1, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=1, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=1, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=1, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=1, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=1, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=1, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=1, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=1, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=1, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=1, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=1, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=1, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=1, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=1, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=1, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=1, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=1, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=1, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=1, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=1, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=1, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=1, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=1, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=1, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=1, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=1, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=1, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=1, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=1, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=1, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=1, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=1, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=1, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=1, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=1, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=1, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=1, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=1, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=1, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=1, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=1, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=1, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=1, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=1, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=1, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=1, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=1, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=1, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=1, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=1, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=1, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=1, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=1, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=1, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=1, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=1, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=1, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=1, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=1, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=1, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=1, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=1, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=1, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=1, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=1, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=3, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=3, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=3, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=3, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=3, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=3, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=3, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=3, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=3, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=3, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=3, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=3, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=3, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=3, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=3, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=3, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=3, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=3, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=3, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=3, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=3, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=3, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=3, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=3, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=3, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=3, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=3, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=3, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=3, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=3, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=3, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=3, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=3, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=3, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=3, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=3, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=3, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=3, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=3, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=3, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=3, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=3, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=3, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=3, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=3, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=3, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=3, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=3, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=3, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=3, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=3, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=3, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=3, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=3, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=3, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=3, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=3, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=3, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=3, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=3, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=3, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=3, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=3, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=3, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=3, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=3, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=3, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=3, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=3, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=3, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=3, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=3, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=3, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=3, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=3, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=3, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=3, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=3, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=3, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=3, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=3, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=3, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=3, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=3, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=3, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=3, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=3, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=3, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=3, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=3, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=5, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=5, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=5, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=5, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=5, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=5, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=5, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=5, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=5, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=5, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=5, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=5, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=5, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=5, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=5, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=5, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=5, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=5, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=5, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=5, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=5, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=5, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=5, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=5, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=5, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=5, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=5, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=5, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=5, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=5, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=5, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=5, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=5, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=5, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=5, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=5, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=5, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=5, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=5, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=5, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=5, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=5, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=5, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=5, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=5, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=5, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=5, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=5, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=5, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=5, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=5, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=5, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=5, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=5, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=5, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=5, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=5, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=5, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=5, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=5, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=5, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=5, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=5, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=5, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=5, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=5, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=5, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=5, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=5, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=5, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=5, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=5, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=5, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=5, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=5, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=5, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=5, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=5, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=5, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=5, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=5, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=5, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=5, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=5, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=5, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=5, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=5, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=5, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=5, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=5, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=7, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=7, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=7, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=7, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=7, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=7, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=7, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=7, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=7, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=7, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=7, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=7, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=7, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=7, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=7, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=7, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=7, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=7, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=7, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=7, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=7, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=7, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=7, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=7, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=7, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=7, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=7, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=7, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=7, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=7, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=7, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=7, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=7, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=7, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=7, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=7, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=7, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=7, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=7, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=7, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=7, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=7, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=7, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=7, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=7, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=7, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=7, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=7, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=7, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=7, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=7, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=7, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=7, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=7, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=7, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=7, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=7, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=7, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=7, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=7, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=7, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=7, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=7, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=7, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=7, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=7, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=7, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=7, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=7, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=7, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=7, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=7, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=7, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=7, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=7, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=7, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=7, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=7, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=7, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=7, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=7, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=7, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=7, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=7, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=7, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=7, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=7, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=7, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=7, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=7, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=9, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=9, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=9, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=9, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=9, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=9, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=9, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=9, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=9, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=9, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=9, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=9, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=9, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=9, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=9, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=9, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=9, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=9, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=9, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=9, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=9, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=9, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=9, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=9, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=9, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=9, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=9, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=9, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=9, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=9, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=9, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=9, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=9, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=9, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=9, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=9, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=9, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=9, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=9, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=9, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=9, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=9, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=9, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=9, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=9, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=9, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=9, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=9, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=9, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=9, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=9, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=9, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=9, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=9, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=9, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=9, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=9, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=9, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=9, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=9, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=9, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=9, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=9, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=9, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=9, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=9, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=9, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=9, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=9, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=9, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=9, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=9, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=9, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=9, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=9, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=9, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=9, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=9, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=9, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=9, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=9, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=9, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=9, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=9, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=9, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=9, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=9, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=9, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=9, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=9, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=11, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=11, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=11, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=11, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=11, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=11, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=11, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=11, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=11, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=11, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=11, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=11, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=11, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=11, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=11, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=11, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=11, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=11, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=11, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=11, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=11, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=11, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=11, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=11, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=11, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=11, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=11, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=11, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=11, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=11, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=11, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=11, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=11, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=11, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=11, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=11, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=11, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=11, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=11, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=11, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=11, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=11, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=11, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=11, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=11, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=11, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=11, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=11, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=11, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=11, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=11, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=11, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=11, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=11, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=11, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=11, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=11, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=11, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=11, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=11, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=11, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=11, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=11, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=11, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=11, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=11, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=11, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=11, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=11, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=11, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=11, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=11, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=11, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=11, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=11, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=11, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=11, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=11, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=11, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=11, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=11, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=11, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=11, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=11, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=11, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=11, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=11, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=11, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=11, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=11, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=13, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=13, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=13, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=13, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=13, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=13, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=13, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=13, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=13, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=13, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=13, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=13, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=13, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=13, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=13, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=13, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=13, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=13, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=13, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=13, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=13, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=13, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=13, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=13, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=13, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=13, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=13, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=13, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=13, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=13, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=13, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=13, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=13, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=13, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=13, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=13, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=13, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=13, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=13, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=13, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=13, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=13, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=13, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=13, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=13, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=13, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=13, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=13, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=13, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=13, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=13, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=13, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=13, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=13, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=13, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=13, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=13, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=13, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=13, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=13, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=13, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=13, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=13, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=13, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=13, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=13, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=13, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=13, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=13, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=13, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=13, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=13, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=13, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=13, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=13, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=13, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=13, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=13, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=13, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=13, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=13, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=13, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=13, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=13, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=13, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=13, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=13, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=13, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=13, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=13, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=15, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=15, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=15, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=15, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=15, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=15, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=15, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=15, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=15, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=15, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=15, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=15, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=15, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=15, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=15, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=15, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=15, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=15, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=15, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=15, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=15, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=15, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=15, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=15, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=15, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=15, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=15, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=15, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=15, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=15, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=15, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=15, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=15, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=15, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=15, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=15, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=15, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=15, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=15, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=15, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=15, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=15, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=15, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=15, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=15, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=15, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=15, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=15, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=15, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=15, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=15, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=15, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=15, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=15, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=15, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=15, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=15, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=15, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=15, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=15, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=15, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=15, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=15, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=15, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=15, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=15, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=15, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=15, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=15, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=15, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=15, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=15, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=15, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=15, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=15, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=15, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=15, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=15, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=15, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=15, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=15, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=15, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=15, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=15, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=15, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=15, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=15, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=15, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=15, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=15, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=17, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=17, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=17, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=17, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=17, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=17, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=17, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=17, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=17, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=17, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=17, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=17, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=17, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=17, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=17, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=17, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=17, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=17, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=17, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=17, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=17, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=17, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=17, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=17, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=17, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=17, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=17, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=17, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=17, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=17, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=17, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=17, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=17, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=17, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=17, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=17, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=17, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=17, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=17, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=17, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=17, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=17, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=17, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=17, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=17, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=17, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=17, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=17, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=17, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=17, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=17, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=17, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=17, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=17, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=17, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=17, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=17, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=17, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=17, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=17, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=17, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=17, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=17, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=17, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=17, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=17, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=17, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=17, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=17, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=17, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=17, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=17, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=17, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=17, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=17, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=17, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=17, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=17, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=17, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=17, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=17, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=17, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=17, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=17, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=17, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=17, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=17, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=17, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=17, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=17, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=19, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=19, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=19, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=19, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=19, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=19, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=19, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=19, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=19, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=19, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=19, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=19, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=19, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=19, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=19, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=19, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=19, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=19, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=19, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=19, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=19, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=19, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=19, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=19, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=19, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=19, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=19, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=19, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=19, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=19, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=19, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=19, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=19, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=19, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=19, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=19, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=19, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=19, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=19, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=19, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=19, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=19, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=19, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=19, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=19, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=19, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=19, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=19, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=19, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=19, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=19, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=19, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=19, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=19, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=19, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=19, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=19, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=19, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=19, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=19, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=19, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=19, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=19, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=19, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=19, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=19, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=19, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=19, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=19, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=19, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=19, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=19, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=19, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=19, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=19, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=19, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=19, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=19, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=19, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=19, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=19, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=19, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=19, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=19, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=19, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=19, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=19, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=19, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=19, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=19, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=1, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=3, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=3, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=3, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=3, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=3, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=3, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=3, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=3, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=3, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=3, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=3, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=3, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=3, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=3, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=3, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=3, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=3, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=3, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=3, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=3, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=3, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=3, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=3, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=3, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=3, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=3, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=3, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=3, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=3, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=3, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=3, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=3, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=3, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=3, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=3, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=3, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=3, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=3, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=3, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=3, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=3, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=3, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=3, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=3, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=3, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=3, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=3, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=3, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=3, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=3, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=3, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=3, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=3, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=3, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=3, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=3, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=3, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=3, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=3, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=3, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=3, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=3, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=3, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=3, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=3, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=3, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=3, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=3, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=3, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=3, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=3, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=3, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=3, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=3, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=3, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=3, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=3, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=3, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=3, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=3, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=3, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=3, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=3, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=3, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=3, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=3, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=3, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=3, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=3, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=3, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=5, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=5, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=5, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=5, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=5, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=5, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=5, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=5, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=5, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=5, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=5, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=5, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=5, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=5, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=5, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=5, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=5, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=5, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=5, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=5, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=5, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=5, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=5, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=5, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=5, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=5, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=5, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=5, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=5, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=5, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=5, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=5, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=5, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=5, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=5, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=5, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=5, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=5, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=5, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=5, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=5, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=5, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=5, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=5, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=5, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=5, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=5, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=5, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=5, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=5, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=5, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=5, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=5, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=5, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=5, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=5, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=5, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=5, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=5, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=5, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=5, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=5, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=5, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=5, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=5, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=5, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=5, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=5, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=5, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=5, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=5, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=5, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=5, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=5, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=5, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=5, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=5, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=5, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=5, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=5, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=5, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=5, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=5, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=5, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=5, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=5, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=5, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=5, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=5, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=5, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=7, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=7, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=7, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=7, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=7, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=7, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=7, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=7, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=7, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=7, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=7, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=7, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=7, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=7, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=7, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=7, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=7, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=7, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=7, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=7, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=7, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=7, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=7, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=7, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=7, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=7, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=7, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=7, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=7, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=7, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=7, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=7, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=7, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=7, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=7, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=7, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=7, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=7, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=7, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=7, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=7, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=7, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=7, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=7, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=7, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=7, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=7, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=7, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=7, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=7, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=7, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=7, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=7, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=7, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=7, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=7, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=7, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=7, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=7, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=7, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=7, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=7, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=7, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=7, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=7, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=7, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=7, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=7, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=7, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=7, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=7, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=7, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=7, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=7, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=7, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=7, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=7, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=7, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=7, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=7, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=7, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=7, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=7, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=7, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=7, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=7, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=7, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=7, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=7, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=7, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=9, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=9, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=9, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=9, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=9, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=9, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=9, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=9, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=9, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=9, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=9, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=9, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=9, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=9, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=9, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=9, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=9, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=9, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=9, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=9, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=9, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=9, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=9, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=9, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=9, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=9, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=9, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=9, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=9, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=9, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=9, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=9, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=9, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=9, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=9, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=9, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=9, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=9, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=9, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=9, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=9, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=9, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=9, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=9, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=9, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=9, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=9, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=9, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=9, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=9, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=9, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=9, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=9, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=9, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=9, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=9, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=9, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=9, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=9, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=9, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=9, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=9, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=9, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=9, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=9, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=9, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=9, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=9, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=9, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=9, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=9, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=9, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=9, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=9, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=9, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=9, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=9, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=9, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=9, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=9, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=9, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=9, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=9, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=9, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=9, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=9, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=9, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=9, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=9, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=9, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=11, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=11, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=11, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=11, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=11, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=11, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=11, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=11, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=11, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=11, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=11, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=11, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=11, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=11, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=11, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=11, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=11, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=11, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=11, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=11, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=11, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=11, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=11, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=11, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=11, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=11, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=11, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=11, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=11, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=11, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=11, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=11, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=11, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=11, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=11, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=11, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=11, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=11, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=11, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=11, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=11, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=11, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=11, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=11, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=11, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=11, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=11, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=11, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=11, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=11, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=11, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=11, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=11, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=11, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=11, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=11, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=11, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=11, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=11, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=11, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=11, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=11, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=11, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=11, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=11, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=11, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=11, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=11, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=11, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=11, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=11, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=11, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=11, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=11, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=11, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=11, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=11, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=11, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=11, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=11, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=11, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=11, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=11, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=11, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=11, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=11, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=11, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=11, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=11, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=11, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=13, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=13, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=13, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=13, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=13, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=13, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=13, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=13, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=13, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=13, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=13, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=13, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=13, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=13, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=13, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=13, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=13, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=13, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=13, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=13, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=13, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=13, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=13, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=13, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=13, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=13, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=13, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=13, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=13, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=13, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=13, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=13, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=13, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=13, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=13, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=13, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=13, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=13, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=13, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=13, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=13, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=13, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=13, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=13, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=13, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=13, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=13, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=13, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=13, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=13, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=13, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=13, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=13, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=13, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=13, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=13, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=13, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=13, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=13, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=13, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=13, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=13, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=13, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=13, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=13, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=13, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=13, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=13, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=13, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=13, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=13, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=13, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=13, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=13, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=13, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=13, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=13, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=13, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=13, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=13, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=13, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=13, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=13, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=13, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=13, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=13, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=13, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=13, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=13, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=13, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=15, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=15, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=15, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=15, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=15, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=15, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=15, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=15, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=15, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=15, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=15, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=15, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=15, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=15, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=15, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=15, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=15, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=15, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=15, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=15, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=15, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=15, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=15, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=15, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=15, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=15, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=15, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=15, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=15, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=15, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=15, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=15, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=15, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=15, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=15, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=15, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=15, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=15, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=15, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=15, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=15, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=15, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=15, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=15, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=15, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=15, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=15, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=15, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=15, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=15, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=15, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=15, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=15, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=15, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=15, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=15, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=15, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=15, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=15, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=15, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=15, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=15, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=15, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=15, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=15, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=15, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=15, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=15, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=15, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=15, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=15, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=15, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=15, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=15, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=15, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=15, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=15, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=15, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=15, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=15, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=15, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=15, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=15, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=15, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=15, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=15, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=15, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=15, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=15, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=15, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=17, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=17, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=17, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=17, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=17, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=17, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=17, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=17, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=17, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=17, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=17, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=17, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=17, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=17, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=17, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=17, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=17, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=17, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=17, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=17, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=17, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=17, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=17, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=17, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=17, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=17, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=17, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=17, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=17, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=17, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=17, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=17, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=17, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=17, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=17, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=17, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=17, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=17, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=17, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=17, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=17, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=17, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=17, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=17, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=17, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=17, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=17, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=17, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=17, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=17, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=17, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=17, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=17, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=17, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=17, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=17, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=17, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=17, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=17, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=17, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=17, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=17, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=17, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=17, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=17, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=17, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=17, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=17, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=17, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=17, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=17, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=17, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=17, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=17, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=17, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=17, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=17, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=17, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=17, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=17, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=17, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=17, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=17, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=17, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=17, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=17, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=17, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=17, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=17, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=17, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=19, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=19, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=19, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=19, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=19, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=19, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=19, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=19, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=19, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=19, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=19, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=19, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=19, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=19, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=19, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=19, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=19, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=19, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=19, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=19, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=19, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=19, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=19, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=19, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=19, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=19, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=19, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=19, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=19, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=19, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=19, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=19, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=19, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=19, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=19, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=19, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=19, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=19, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=19, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=19, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=19, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=19, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=19, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=19, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=19, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=19, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=19, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=19, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=19, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=19, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=19, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=19, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=19, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=19, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=19, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=19, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=19, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=19, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=19, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=19, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=19, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=19, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=19, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=19, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=19, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=19, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=19, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=19, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=19, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=19, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=19, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=19, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=19, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=19, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=19, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=19, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=19, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=19, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=19, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=19, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=19, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=19, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=19, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=19, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=19, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=19, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=19, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=19, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=19, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=19, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=1, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=3, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=3, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=3, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=3, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=3, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=3, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=3, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=3, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=3, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=3, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=3, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=3, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=3, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=3, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=3, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=3, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=3, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=3, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=3, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=3, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=3, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=3, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=3, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=3, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=3, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=3, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=3, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=3, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=3, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=3, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=3, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=3, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=3, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=3, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=3, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=3, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=3, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=3, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=3, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=3, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=3, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=3, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=3, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=3, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=3, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=3, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=3, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=3, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=3, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=3, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=3, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=3, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=3, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=3, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=3, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=3, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=3, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=3, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=3, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=3, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=3, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=3, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=3, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=3, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=3, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=3, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=3, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=3, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=3, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=3, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=3, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=3, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=3, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=3, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=3, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=3, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=3, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=3, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=3, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=3, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=3, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=3, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=3, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=3, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=3, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=3, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=3, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=3, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=3, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=3, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=5, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=5, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=5, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=5, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=5, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=5, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=5, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=5, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=5, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=5, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=5, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=5, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=5, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=5, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=5, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=5, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=5, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=5, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=5, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=5, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=5, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=5, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=5, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=5, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=5, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=5, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=5, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=5, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=5, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=5, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=5, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=5, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=5, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=5, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=5, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=5, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=5, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=5, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=5, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=5, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=5, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=5, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=5, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=5, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=5, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=5, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=5, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=5, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=5, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=5, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=5, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=5, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=5, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=5, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=5, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=5, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=5, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=5, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=5, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=5, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=5, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=5, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=5, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=5, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=5, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=5, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=5, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=5, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=5, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=5, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=5, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=5, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=5, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=5, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=5, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=5, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=5, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=5, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=5, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=5, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=5, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=5, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=5, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=5, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=5, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=5, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=5, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=5, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=5, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=5, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=7, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=7, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=7, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=7, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=7, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=7, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=7, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=7, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=7, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=7, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=7, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=7, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=7, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=7, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=7, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=7, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=7, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=7, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=7, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=7, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=7, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=7, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=7, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=7, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=7, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=7, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=7, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=7, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=7, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=7, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=7, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=7, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=7, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=7, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=7, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=7, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=7, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=7, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=7, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=7, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=7, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=7, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=7, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=7, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=7, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=7, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=7, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=7, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=7, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=7, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=7, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=7, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=7, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=7, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=7, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=7, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=7, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=7, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=7, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=7, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=7, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=7, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=7, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=7, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=7, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=7, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=7, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=7, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=7, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=7, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=7, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=7, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=7, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=7, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=7, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=7, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=7, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=7, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=7, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=7, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=7, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=7, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=7, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=7, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=7, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=7, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=7, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=7, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=7, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=7, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=9, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=9, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=9, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=9, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=9, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=9, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=9, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=9, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=9, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=9, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=9, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=9, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=9, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=9, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=9, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=9, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=9, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=9, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=9, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=9, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=9, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=9, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=9, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=9, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=9, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=9, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=9, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=9, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=9, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=9, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=9, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=9, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=9, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=9, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=9, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=9, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=9, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=9, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=9, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=9, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=9, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=9, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=9, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=9, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=9, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=9, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=9, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=9, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=9, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=9, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=9, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=9, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=9, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=9, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=9, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=9, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=9, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=9, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=9, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=9, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=9, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=9, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=9, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=9, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=9, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=9, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=9, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=9, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=9, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=9, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=9, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=9, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=9, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=9, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=9, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=9, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=9, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=9, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=9, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=9, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=9, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=9, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=9, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=9, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=9, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=9, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=9, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=9, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=9, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=9, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=11, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=11, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=11, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=11, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=11, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=11, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=11, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=11, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=11, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=11, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=11, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=11, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=11, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=11, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=11, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=11, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=11, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=11, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=11, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=11, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=11, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=11, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=11, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=11, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=11, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=11, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=11, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=11, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=11, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=11, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=11, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=11, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=11, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=11, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=11, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=11, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=11, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=11, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=11, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=11, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=11, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=11, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=11, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=11, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=11, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=11, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=11, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=11, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=11, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=11, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=11, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=11, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=11, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=11, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=11, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=11, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=11, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=11, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=11, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=11, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=11, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=11, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=11, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=11, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=11, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=11, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=11, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=11, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=11, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=11, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=11, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=11, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=11, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=11, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=11, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=11, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=11, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=11, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=11, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=11, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=11, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=11, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=11, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=11, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=11, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=11, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=11, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=11, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=11, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=11, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=13, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=13, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=13, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=13, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=13, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=13, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=13, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=13, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=13, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=13, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=13, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=13, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=13, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=13, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=13, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=13, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=13, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=13, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=13, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=13, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=13, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=13, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=13, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=13, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=13, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=13, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=13, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=13, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=13, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=13, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=13, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=13, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=13, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=13, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=13, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=13, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=13, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=13, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=13, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=13, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=13, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=13, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=13, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=13, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=13, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=13, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=13, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=13, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=13, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=13, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=13, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=13, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=13, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=13, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=13, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=13, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=13, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=13, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=13, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=13, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=13, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=13, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=13, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=13, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=13, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=13, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=13, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=13, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=13, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=13, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=13, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=13, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=13, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=13, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=13, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=13, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=13, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=13, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=13, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=13, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=13, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=13, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=13, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=13, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=13, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=13, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=13, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=13, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=13, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=13, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=15, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=15, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=15, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=15, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=15, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=15, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=15, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=15, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=15, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=15, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=15, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=15, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=15, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=15, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=15, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=15, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=15, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=15, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=15, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=15, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=15, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=15, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=15, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=15, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=15, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=15, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=15, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=15, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=15, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=15, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=15, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=15, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=15, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=15, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=15, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=15, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=15, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=15, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=15, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=15, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=15, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=15, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=15, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=15, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=15, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=15, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=15, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=15, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=15, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=15, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=15, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=15, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=15, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=15, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=15, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=15, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=15, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=15, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=15, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=15, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=15, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=15, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=15, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=15, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=15, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=15, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=15, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=15, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=15, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=15, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=15, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=15, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=15, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=15, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=15, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=15, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=15, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=15, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=15, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=15, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=15, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=15, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=15, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=15, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=15, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=15, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=15, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=15, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=15, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=15, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=17, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=17, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=17, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=17, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=17, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=17, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=17, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=17, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=17, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=17, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=17, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=17, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=17, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=17, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=17, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=17, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=17, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=17, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=17, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=17, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=17, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=17, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=17, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=17, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=17, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=17, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=17, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=17, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=17, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=17, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=17, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=17, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=17, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=17, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=17, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=17, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=17, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=17, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=17, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=17, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=17, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=17, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=17, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=17, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=17, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=17, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=17, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=17, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=17, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=17, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=17, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=17, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=17, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=17, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=17, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=17, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=17, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=17, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=17, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=17, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=17, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=17, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=17, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=17, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=17, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=17, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=17, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=17, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=17, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=17, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=17, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=17, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=17, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=17, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=17, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=17, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=17, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=17, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=17, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=17, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=17, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=17, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=17, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=17, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=17, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=17, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=17, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=17, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=17, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=17, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=19, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=19, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=19, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=19, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=19, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=19, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=19, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=19, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=19, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=19, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=19, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=19, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=19, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=19, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=19, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=19, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=19, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=19, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=19, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=19, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=19, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=19, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=19, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=19, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=19, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=19, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=19, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=19, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=19, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=19, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=19, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=19, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=19, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=19, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=19, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=19, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=19, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=19, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=19, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=19, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=19, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=19, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=19, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=19, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=19, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=19, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=19, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=19, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=19, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=19, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=19, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=19, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=19, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=19, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=19, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=19, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=19, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=19, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=19, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=19, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=19, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=19, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=19, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=19, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=19, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=19, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=19, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=19, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=19, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=19, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=19, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=19, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=19, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=19, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=19, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=19, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=19, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=19, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=19, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=19, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=19, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=19, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=19, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=19, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=19, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=19, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=19, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=19, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=19, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=19, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=3, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=3, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=3, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=3, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=3, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=3, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=3, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=3, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=3, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=3, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=3, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=3, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=3, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=3, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=3, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=3, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=3, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=3, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=3, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=3, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=3, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=3, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=3, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=3, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=3, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=3, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=3, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=3, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=3, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=3, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=3, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=3, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=3, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=3, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=3, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=3, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=3, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=3, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=3, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=3, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=3, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=3, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=3, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=3, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=3, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=3, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=3, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=3, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=3, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=3, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=3, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=3, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=3, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=3, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=3, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=3, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=3, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=3, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=3, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=3, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=3, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=3, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=3, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=3, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=3, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=3, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=3, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=3, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=3, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=3, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=3, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=3, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=3, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=3, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=3, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=3, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=3, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=3, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=3, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=3, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=3, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=3, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=3, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=3, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=3, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=3, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=3, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=3, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=3, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=3, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=5, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=5, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=5, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=5, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=5, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=5, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=5, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=5, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=5, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=5, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=5, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=5, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=5, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=5, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=5, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=5, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=5, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=5, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=5, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=5, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=5, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=5, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=5, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=5, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=5, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=5, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=5, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=5, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=5, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=5, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=5, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=5, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=5, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=5, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=5, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=5, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=5, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=5, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=5, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=5, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=5, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=5, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=5, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=5, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=5, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=5, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=5, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=5, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=5, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=5, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=5, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=5, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=5, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=5, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=5, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=5, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=5, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=5, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=5, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=5, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=5, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=5, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=5, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=5, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=5, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=5, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=5, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=5, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=5, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=5, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=5, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=5, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=5, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=5, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=5, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=5, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=5, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=5, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=5, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=5, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=5, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=5, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=5, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=5, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=5, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=5, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=5, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=5, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=5, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=5, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=7, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=7, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=7, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=7, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=7, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=7, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=7, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=7, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=7, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=7, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=7, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=7, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=7, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=7, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=7, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=7, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=7, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=7, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=7, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=7, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=7, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=7, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=7, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=7, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=7, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=7, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=7, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=7, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=7, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=7, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=7, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=7, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=7, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=7, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=7, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=7, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=7, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=7, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=7, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=7, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=7, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=7, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=7, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=7, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=7, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=7, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=7, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=7, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=7, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=7, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=7, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=7, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=7, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=7, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=7, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=7, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=7, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=7, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=7, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=7, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=7, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=7, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=7, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=7, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=7, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=7, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=7, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=7, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=7, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=7, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=7, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=7, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=7, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=7, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=7, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=7, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=7, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=7, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=7, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=7, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=7, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=7, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=7, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=7, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=7, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=7, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=7, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=7, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=7, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=7, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=9, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=9, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=9, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=9, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=9, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=9, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=9, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=9, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=9, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=9, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=9, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=9, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=9, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=9, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=9, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=9, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=9, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=9, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=9, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=9, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=9, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=9, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=9, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=9, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=9, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=9, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=9, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=9, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=9, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=9, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=9, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=9, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=9, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=9, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=9, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=9, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=9, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=9, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=9, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=9, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=9, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=9, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=9, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=9, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=9, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=9, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=9, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=9, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=9, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=9, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=9, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=9, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=9, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=9, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=9, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=9, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=9, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=9, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=9, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=9, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=9, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=9, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=9, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=9, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=9, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=9, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=9, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=9, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=9, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=9, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=9, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=9, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=9, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=9, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=9, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=9, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=9, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=9, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=9, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=9, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=9, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=9, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=9, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=9, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=9, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=9, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=9, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=9, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=9, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=9, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=11, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=11, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=11, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=11, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=11, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=11, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=11, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=11, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=11, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=11, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=11, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=11, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=11, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=11, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=11, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=11, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=11, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=11, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=11, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=11, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=11, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=11, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=11, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=11, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=11, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=11, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=11, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=11, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=11, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=11, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=11, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=11, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=11, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=11, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=11, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=11, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=11, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=11, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=11, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=11, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=11, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=11, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=11, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=11, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=11, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=11, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=11, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=11, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=11, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=11, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=11, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=11, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=11, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=11, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=11, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=11, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=11, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=11, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=11, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=11, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=11, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=11, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=11, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=11, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=11, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=11, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=11, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=11, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=11, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=11, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=11, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=11, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=11, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=11, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=11, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=11, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=11, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=11, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=11, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=11, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=11, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=11, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=11, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=11, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=11, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=11, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=11, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=11, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=11, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=11, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=13, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=13, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=13, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=13, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=13, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=13, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=13, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=13, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=13, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=13, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=13, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=13, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=13, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=13, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=13, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=13, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=13, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=13, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=13, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=13, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=13, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=13, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=13, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=13, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=13, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=13, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=13, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=13, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=13, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=13, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=13, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=13, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=13, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=13, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=13, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=13, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=13, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=13, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=13, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=13, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=13, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=13, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=13, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=13, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=13, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=13, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=13, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=13, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=13, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=13, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=13, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=13, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=13, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=13, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=13, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=13, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=13, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=13, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=13, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=13, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=13, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=13, min_samples_split=14, n_estimators=10; total time=   0.1s\n","[CV] END max_depth=10, min_samples_leaf=13, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=13, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=13, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=13, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=13, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=13, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=13, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=13, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=13, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=13, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=13, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=13, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=13, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=13, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=13, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=13, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=13, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=13, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=13, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=13, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=13, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=13, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=13, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=13, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=13, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=13, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=13, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=13, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=15, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=15, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=15, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=15, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=15, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=15, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=15, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=15, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=15, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=15, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=15, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=15, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=15, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=15, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=15, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=15, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=15, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=15, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=15, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=15, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=15, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=15, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=15, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=15, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=15, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=15, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=15, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=15, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=15, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=15, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=15, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=15, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=15, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=15, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=15, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=15, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=15, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=15, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=15, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=15, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=15, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=15, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=15, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=15, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=15, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=15, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=15, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=15, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=15, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=15, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=15, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=15, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=15, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=15, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=15, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=15, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=15, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=15, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=15, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=15, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=15, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=15, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=15, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=15, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=15, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=15, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=15, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=15, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=15, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=15, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=15, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=15, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=15, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=15, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=15, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=15, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=15, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=15, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=15, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=15, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=15, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=15, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=15, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=15, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=15, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=15, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=15, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=15, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=15, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=15, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=17, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=17, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=17, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=17, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=17, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=17, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=17, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=17, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=17, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=17, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=17, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=17, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=17, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=17, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=17, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=17, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=17, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=17, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=17, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=17, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=17, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=17, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=17, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=17, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=17, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=17, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=17, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=17, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=17, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=17, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=17, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=17, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=17, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=17, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=17, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=17, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=17, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=17, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=17, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=17, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=17, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=17, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=17, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=17, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=17, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=17, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=17, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=17, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=17, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=17, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=17, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=17, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=17, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=17, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=17, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=17, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=17, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=17, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=17, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=17, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=17, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=17, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=17, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=17, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=17, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=17, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=17, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=17, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=17, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=17, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=17, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=17, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=17, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=17, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=17, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=17, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=17, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=17, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=17, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=17, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=17, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=17, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=17, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=17, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=17, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=17, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=17, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=17, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=17, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=17, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=19, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=19, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=19, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=19, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=19, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=19, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=19, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=19, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=19, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=19, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=19, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=19, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=19, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=19, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=19, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=19, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=19, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=19, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=19, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=19, min_samples_split=4, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=19, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=19, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=19, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=19, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=19, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=19, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=19, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=19, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=19, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=19, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=19, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=19, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=19, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=19, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=19, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=19, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=19, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=19, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=19, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=19, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=19, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=19, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=19, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=19, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=19, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=19, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=19, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=19, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=19, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=19, min_samples_split=10, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=19, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=19, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=19, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=19, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=19, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=19, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=19, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=19, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=19, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=19, min_samples_split=12, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=19, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=19, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=19, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=19, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=19, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=19, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=19, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=19, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=19, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=19, min_samples_split=14, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=19, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=19, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=19, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=19, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=19, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=19, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=19, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=19, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=19, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=19, min_samples_split=16, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=19, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=19, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=19, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=19, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=19, min_samples_split=18, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=19, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=19, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=19, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=19, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=19, min_samples_split=18, n_estimators=60; total time=   0.2s\n"]},{"data":{"text/html":["<style>#sk-container-id-2 {color: black;background-color: white;}#sk-container-id-2 pre{padding: 0;}#sk-container-id-2 div.sk-toggleable {background-color: white;}#sk-container-id-2 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-2 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-2 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-2 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-2 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-2 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-2 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-2 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-2 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-2 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-2 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-2 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-2 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-2 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-2 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-2 div.sk-item {position: relative;z-index: 1;}#sk-container-id-2 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-2 div.sk-item::before, #sk-container-id-2 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-2 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-2 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-2 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-2 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-2 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-2 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-2 div.sk-label-container {text-align: center;}#sk-container-id-2 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-2 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-2\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>GridSearchCV(cv=5, estimator=RandomForestClassifier(),\n","             param_grid={&#x27;max_depth&#x27;: [None, 3, 5, 10],\n","                         &#x27;min_samples_leaf&#x27;: array([ 1,  3,  5,  7,  9, 11, 13, 15, 17, 19]),\n","                         &#x27;min_samples_split&#x27;: array([ 2,  4,  6,  8, 10, 12, 14, 16, 18]),\n","                         &#x27;n_estimators&#x27;: array([10, 60])},\n","             verbose=2)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item sk-dashed-wrapped\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-2\" type=\"checkbox\" ><label for=\"sk-estimator-id-2\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">GridSearchCV</label><div class=\"sk-toggleable__content\"><pre>GridSearchCV(cv=5, estimator=RandomForestClassifier(),\n","             param_grid={&#x27;max_depth&#x27;: [None, 3, 5, 10],\n","                         &#x27;min_samples_leaf&#x27;: array([ 1,  3,  5,  7,  9, 11, 13, 15, 17, 19]),\n","                         &#x27;min_samples_split&#x27;: array([ 2,  4,  6,  8, 10, 12, 14, 16, 18]),\n","                         &#x27;n_estimators&#x27;: array([10, 60])},\n","             verbose=2)</pre></div></div></div><div class=\"sk-parallel\"><div class=\"sk-parallel-item\"><div class=\"sk-item\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-3\" type=\"checkbox\" ><label for=\"sk-estimator-id-3\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">estimator: RandomForestClassifier</label><div class=\"sk-toggleable__content\"><pre>RandomForestClassifier()</pre></div></div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-4\" type=\"checkbox\" ><label for=\"sk-estimator-id-4\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">RandomForestClassifier</label><div class=\"sk-toggleable__content\"><pre>RandomForestClassifier()</pre></div></div></div></div></div></div></div></div></div></div>"],"text/plain":["GridSearchCV(cv=5, estimator=RandomForestClassifier(),\n","             param_grid={'max_depth': [None, 3, 5, 10],\n","                         'min_samples_leaf': array([ 1,  3,  5,  7,  9, 11, 13, 15, 17, 19]),\n","                         'min_samples_split': array([ 2,  4,  6,  8, 10, 12, 14, 16, 18]),\n","                         'n_estimators': array([10, 60])},\n","             verbose=2)"]},"execution_count":65,"metadata":{},"output_type":"execute_result"}],"source":["from sklearn.model_selection import GridSearchCV \n","from sklearn.metrics import accuracy_score\n","\n","param_grid = {\n","    \n","    \"n_estimators\": np.arange(10, 100, 50),\n","    \"max_depth\": [None, 3, 5, 10],\n","    \"min_samples_split\": np.arange(2, 20, 2),\n","    \"min_samples_leaf\": np.arange(1, 20, 2)\n","}\n","\n","clf = RandomForestClassifier()\n","\n","grid_search = GridSearchCV(clf, param_grid, cv = 5, verbose = 2)\n","grid_search.fit(X_train, y_train)"]},{"cell_type":"code","execution_count":66,"id":"a5894500","metadata":{"execution":{"iopub.execute_input":"2023-07-05T08:00:38.898877Z","iopub.status.busy":"2023-07-05T08:00:38.898435Z","iopub.status.idle":"2023-07-05T08:00:38.906904Z","shell.execute_reply":"2023-07-05T08:00:38.905537Z"},"papermill":{"duration":0.173365,"end_time":"2023-07-05T08:00:38.909577","exception":false,"start_time":"2023-07-05T08:00:38.736212","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["{'max_depth': None,\n"," 'min_samples_leaf': 9,\n"," 'min_samples_split': 18,\n"," 'n_estimators': 60}"]},"execution_count":66,"metadata":{},"output_type":"execute_result"}],"source":["grid_search.best_params_"]},{"cell_type":"code","execution_count":67,"id":"04a830e9","metadata":{"execution":{"iopub.execute_input":"2023-07-05T08:00:39.238706Z","iopub.status.busy":"2023-07-05T08:00:39.238249Z","iopub.status.idle":"2023-07-05T08:00:39.260722Z","shell.execute_reply":"2023-07-05T08:00:39.259198Z"},"papermill":{"duration":0.190898,"end_time":"2023-07-05T08:00:39.263667","exception":false,"start_time":"2023-07-05T08:00:39.072769","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["0.8"]},"execution_count":67,"metadata":{},"output_type":"execute_result"}],"source":["# best estimator output\n","grid_search.best_estimator_.score(X_val, y_val)"]},{"cell_type":"code","execution_count":68,"id":"da7b995b","metadata":{"execution":{"iopub.execute_input":"2023-07-05T08:00:39.577785Z","iopub.status.busy":"2023-07-05T08:00:39.576775Z","iopub.status.idle":"2023-07-05T08:00:47.62249Z","shell.execute_reply":"2023-07-05T08:00:47.620993Z"},"papermill":{"duration":8.199941,"end_time":"2023-07-05T08:00:47.625077","exception":false,"start_time":"2023-07-05T08:00:39.425136","status":"completed"},"tags":[]},"outputs":[{"name":"stdout","output_type":"stream","text":["Fitting 5 folds for each of 20 candidates, totalling 100 fits\n","[CV] END max_depth=3, min_samples_leaf=15, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=15, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=15, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=15, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=15, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=3, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=3, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=3, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=3, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=3, min_samples_split=14, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=11, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=11, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=11, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=11, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=11, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=17, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=17, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=17, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=17, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=17, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=11, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=11, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=11, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=11, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=11, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=17, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=17, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=17, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=17, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=17, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=3, min_samples_leaf=7, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=7, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=7, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=7, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=7, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=3, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=3, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=3, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=3, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=3, min_samples_split=6, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=7, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=7, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=7, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=7, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=7, min_samples_split=10, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=11, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=11, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=11, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=11, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=3, min_samples_leaf=11, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=5, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=5, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=5, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=5, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=5, min_samples_split=2, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=4, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=1, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=5, min_samples_leaf=7, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=7, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=7, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=7, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=5, min_samples_leaf=7, min_samples_split=8, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=5, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=5, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=5, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=5, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=5, min_samples_split=8, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=19, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=19, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=19, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=19, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=19, min_samples_split=18, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=3, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=3, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=3, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=3, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=3, min_samples_split=2, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=7, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=7, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=7, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=7, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=10, min_samples_leaf=7, min_samples_split=6, n_estimators=60; total time=   0.2s\n","[CV] END max_depth=None, min_samples_leaf=17, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=17, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=17, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=17, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=None, min_samples_leaf=17, min_samples_split=16, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=5, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=5, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=5, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=5, min_samples_split=12, n_estimators=10; total time=   0.0s\n","[CV] END max_depth=10, min_samples_leaf=5, min_samples_split=12, n_estimators=10; total time=   0.0s\n"]},{"data":{"text/html":["<style>#sk-container-id-3 {color: black;background-color: white;}#sk-container-id-3 pre{padding: 0;}#sk-container-id-3 div.sk-toggleable {background-color: white;}#sk-container-id-3 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-3 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-3 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-3 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-3 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-3 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-3 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-3 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-3 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-3 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-3 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-3 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-3 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-3 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-3 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-3 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-3 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-3 div.sk-item {position: relative;z-index: 1;}#sk-container-id-3 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-3 div.sk-item::before, #sk-container-id-3 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-3 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-3 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-3 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-3 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-3 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-3 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-3 div.sk-label-container {text-align: center;}#sk-container-id-3 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-3 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-3\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>RandomizedSearchCV(cv=5, estimator=RandomForestClassifier(), n_iter=20,\n","                   param_distributions={&#x27;max_depth&#x27;: [None, 3, 5, 10],\n","                                        &#x27;min_samples_leaf&#x27;: array([ 1,  3,  5,  7,  9, 11, 13, 15, 17, 19]),\n","                                        &#x27;min_samples_split&#x27;: array([ 2,  4,  6,  8, 10, 12, 14, 16, 18]),\n","                                        &#x27;n_estimators&#x27;: array([10, 60])},\n","                   verbose=2)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item sk-dashed-wrapped\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-5\" type=\"checkbox\" ><label for=\"sk-estimator-id-5\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">RandomizedSearchCV</label><div class=\"sk-toggleable__content\"><pre>RandomizedSearchCV(cv=5, estimator=RandomForestClassifier(), n_iter=20,\n","                   param_distributions={&#x27;max_depth&#x27;: [None, 3, 5, 10],\n","                                        &#x27;min_samples_leaf&#x27;: array([ 1,  3,  5,  7,  9, 11, 13, 15, 17, 19]),\n","                                        &#x27;min_samples_split&#x27;: array([ 2,  4,  6,  8, 10, 12, 14, 16, 18]),\n","                                        &#x27;n_estimators&#x27;: array([10, 60])},\n","                   verbose=2)</pre></div></div></div><div class=\"sk-parallel\"><div class=\"sk-parallel-item\"><div class=\"sk-item\"><div class=\"sk-label-container\"><div class=\"sk-label sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-6\" type=\"checkbox\" ><label for=\"sk-estimator-id-6\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">estimator: RandomForestClassifier</label><div class=\"sk-toggleable__content\"><pre>RandomForestClassifier()</pre></div></div></div><div class=\"sk-serial\"><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-7\" type=\"checkbox\" ><label for=\"sk-estimator-id-7\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">RandomForestClassifier</label><div class=\"sk-toggleable__content\"><pre>RandomForestClassifier()</pre></div></div></div></div></div></div></div></div></div></div>"],"text/plain":["RandomizedSearchCV(cv=5, estimator=RandomForestClassifier(), n_iter=20,\n","                   param_distributions={'max_depth': [None, 3, 5, 10],\n","                                        'min_samples_leaf': array([ 1,  3,  5,  7,  9, 11, 13, 15, 17, 19]),\n","                                        'min_samples_split': array([ 2,  4,  6,  8, 10, 12, 14, 16, 18]),\n","                                        'n_estimators': array([10, 60])},\n","                   verbose=2)"]},"execution_count":68,"metadata":{},"output_type":"execute_result"}],"source":["# let's try Randomized Search CV\n","from sklearn.model_selection import RandomizedSearchCV\n","\n","rs_rfc = RandomizedSearchCV(RandomForestClassifier(),\n","                           param_distributions = param_grid,\n","                           cv=5,\n","                           n_iter = 20,\n","                           verbose = 2) \n","rs_rfc.fit(X_train, y_train)"]},{"cell_type":"code","execution_count":69,"id":"d35cf706","metadata":{"execution":{"iopub.execute_input":"2023-07-05T08:00:47.948464Z","iopub.status.busy":"2023-07-05T08:00:47.947963Z","iopub.status.idle":"2023-07-05T08:00:47.955524Z","shell.execute_reply":"2023-07-05T08:00:47.954666Z"},"papermill":{"duration":0.176939,"end_time":"2023-07-05T08:00:47.958683","exception":false,"start_time":"2023-07-05T08:00:47.781744","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["{'n_estimators': 60,\n"," 'min_samples_split': 8,\n"," 'min_samples_leaf': 7,\n"," 'max_depth': 5}"]},"execution_count":69,"metadata":{},"output_type":"execute_result"}],"source":["rs_rfc.best_params_"]},{"cell_type":"code","execution_count":70,"id":"b0f4c6b0","metadata":{"execution":{"iopub.execute_input":"2023-07-05T08:00:48.282752Z","iopub.status.busy":"2023-07-05T08:00:48.282062Z","iopub.status.idle":"2023-07-05T08:00:48.299552Z","shell.execute_reply":"2023-07-05T08:00:48.29866Z"},"papermill":{"duration":0.185116,"end_time":"2023-07-05T08:00:48.302769","exception":false,"start_time":"2023-07-05T08:00:48.117653","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["0.8"]},"execution_count":70,"metadata":{},"output_type":"execute_result"}],"source":["rs_rfc.score(X_val, y_val)  "]},{"cell_type":"markdown","id":"17ecb12c","metadata":{"papermill":{"duration":0.1624,"end_time":"2023-07-05T08:00:48.622827","exception":false,"start_time":"2023-07-05T08:00:48.460427","status":"completed"},"tags":[]},"source":["Well seems like we have improved a lot. We can select this model and evaluate our model now on actual Data that is our test data but first we need to make the data similiar to training data"]},{"cell_type":"code","execution_count":71,"id":"5feb7526","metadata":{"execution":{"iopub.execute_input":"2023-07-05T08:00:48.949584Z","iopub.status.busy":"2023-07-05T08:00:48.948809Z","iopub.status.idle":"2023-07-05T08:00:48.972747Z","shell.execute_reply":"2023-07-05T08:00:48.971585Z"},"papermill":{"duration":0.191167,"end_time":"2023-07-05T08:00:48.97602","exception":false,"start_time":"2023-07-05T08:00:48.784853","status":"completed"},"tags":[]},"outputs":[{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>Pclass</th>\n","      <th>Sex</th>\n","      <th>Age</th>\n","      <th>SibSp</th>\n","      <th>Parch</th>\n","      <th>Fare</th>\n","      <th>Embarked</th>\n","      <th>Title</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>86</th>\n","      <td>3</td>\n","      <td>1</td>\n","      <td>16.0</td>\n","      <td>1</td>\n","      <td>3</td>\n","      <td>34.3750</td>\n","      <td>2</td>\n","      <td>1.0</td>\n","    </tr>\n","    <tr>\n","      <th>67</th>\n","      <td>3</td>\n","      <td>1</td>\n","      <td>19.0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>8.1583</td>\n","      <td>2</td>\n","      <td>1.0</td>\n","    </tr>\n","    <tr>\n","      <th>350</th>\n","      <td>3</td>\n","      <td>1</td>\n","      <td>23.0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>9.2250</td>\n","      <td>2</td>\n","      <td>1.0</td>\n","    </tr>\n","    <tr>\n","      <th>210</th>\n","      <td>3</td>\n","      <td>1</td>\n","      <td>24.0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>7.0500</td>\n","      <td>2</td>\n","      <td>1.0</td>\n","    </tr>\n","    <tr>\n","      <th>659</th>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>58.0</td>\n","      <td>0</td>\n","      <td>2</td>\n","      <td>113.2750</td>\n","      <td>0</td>\n","      <td>1.0</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>106</th>\n","      <td>3</td>\n","      <td>0</td>\n","      <td>21.0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>7.6500</td>\n","      <td>2</td>\n","      <td>2.0</td>\n","    </tr>\n","    <tr>\n","      <th>270</th>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>28.0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>31.0000</td>\n","      <td>2</td>\n","      <td>1.0</td>\n","    </tr>\n","    <tr>\n","      <th>860</th>\n","      <td>3</td>\n","      <td>1</td>\n","      <td>41.0</td>\n","      <td>2</td>\n","      <td>0</td>\n","      <td>14.1083</td>\n","      <td>2</td>\n","      <td>1.0</td>\n","    </tr>\n","    <tr>\n","      <th>435</th>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>14.0</td>\n","      <td>1</td>\n","      <td>2</td>\n","      <td>120.0000</td>\n","      <td>2</td>\n","      <td>2.0</td>\n","    </tr>\n","    <tr>\n","      <th>102</th>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>21.0</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>77.2875</td>\n","      <td>2</td>\n","      <td>1.0</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>846 rows × 8 columns</p>\n","</div>"],"text/plain":["     Pclass  Sex   Age  SibSp  Parch      Fare  Embarked  Title\n","86        3    1  16.0      1      3   34.3750         2    1.0\n","67        3    1  19.0      0      0    8.1583         2    1.0\n","350       3    1  23.0      0      0    9.2250         2    1.0\n","210       3    1  24.0      0      0    7.0500         2    1.0\n","659       1    1  58.0      0      2  113.2750         0    1.0\n","..      ...  ...   ...    ...    ...       ...       ...    ...\n","106       3    0  21.0      0      0    7.6500         2    2.0\n","270       1    1  28.0      0      0   31.0000         2    1.0\n","860       3    1  41.0      2      0   14.1083         2    1.0\n","435       1    0  14.0      1      2  120.0000         2    2.0\n","102       1    1  21.0      0      1   77.2875         2    1.0\n","\n","[846 rows x 8 columns]"]},"execution_count":71,"metadata":{},"output_type":"execute_result"}],"source":["X_train"]},{"cell_type":"code","execution_count":72,"id":"0f292253","metadata":{"execution":{"iopub.execute_input":"2023-07-05T08:00:49.28961Z","iopub.status.busy":"2023-07-05T08:00:49.289164Z","iopub.status.idle":"2023-07-05T08:00:49.334321Z","shell.execute_reply":"2023-07-05T08:00:49.332632Z"},"papermill":{"duration":0.208526,"end_time":"2023-07-05T08:00:49.337207","exception":false,"start_time":"2023-07-05T08:00:49.128681","status":"completed"},"tags":[]},"outputs":[{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>PassengerId</th>\n","      <th>Pclass</th>\n","      <th>Name</th>\n","      <th>Sex</th>\n","      <th>Age</th>\n","      <th>SibSp</th>\n","      <th>Parch</th>\n","      <th>Ticket</th>\n","      <th>Fare</th>\n","      <th>Cabin</th>\n","      <th>Embarked</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>892</td>\n","      <td>3</td>\n","      <td>Kelly, Mr. James</td>\n","      <td>male</td>\n","      <td>34.5</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>330911</td>\n","      <td>7.8292</td>\n","      <td>NaN</td>\n","      <td>Q</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>893</td>\n","      <td>3</td>\n","      <td>Wilkes, Mrs. James (Ellen Needs)</td>\n","      <td>female</td>\n","      <td>47.0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>363272</td>\n","      <td>7.0000</td>\n","      <td>NaN</td>\n","      <td>S</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>894</td>\n","      <td>2</td>\n","      <td>Myles, Mr. Thomas Francis</td>\n","      <td>male</td>\n","      <td>62.0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>240276</td>\n","      <td>9.6875</td>\n","      <td>NaN</td>\n","      <td>Q</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>895</td>\n","      <td>3</td>\n","      <td>Wirz, Mr. Albert</td>\n","      <td>male</td>\n","      <td>27.0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>315154</td>\n","      <td>8.6625</td>\n","      <td>NaN</td>\n","      <td>S</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>896</td>\n","      <td>3</td>\n","      <td>Hirvonen, Mrs. Alexander (Helga E Lindqvist)</td>\n","      <td>female</td>\n","      <td>22.0</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>3101298</td>\n","      <td>12.2875</td>\n","      <td>NaN</td>\n","      <td>S</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["   PassengerId  Pclass                                          Name     Sex  \\\n","0          892       3                              Kelly, Mr. James    male   \n","1          893       3              Wilkes, Mrs. James (Ellen Needs)  female   \n","2          894       2                     Myles, Mr. Thomas Francis    male   \n","3          895       3                              Wirz, Mr. Albert    male   \n","4          896       3  Hirvonen, Mrs. Alexander (Helga E Lindqvist)  female   \n","\n","    Age  SibSp  Parch   Ticket     Fare Cabin Embarked  \n","0  34.5      0      0   330911   7.8292   NaN        Q  \n","1  47.0      1      0   363272   7.0000   NaN        S  \n","2  62.0      0      0   240276   9.6875   NaN        Q  \n","3  27.0      0      0   315154   8.6625   NaN        S  \n","4  22.0      1      1  3101298  12.2875   NaN        S  "]},"execution_count":72,"metadata":{},"output_type":"execute_result"}],"source":["test_data = pd.read_csv(\"/kaggle/input/titanic/test.csv\")\n","test_data.head()"]},{"cell_type":"code","execution_count":73,"id":"44f5ec73","metadata":{"execution":{"iopub.execute_input":"2023-07-05T08:00:49.664451Z","iopub.status.busy":"2023-07-05T08:00:49.663407Z","iopub.status.idle":"2023-07-05T08:00:49.671403Z","shell.execute_reply":"2023-07-05T08:00:49.669976Z"},"papermill":{"duration":0.17669,"end_time":"2023-07-05T08:00:49.675556","exception":false,"start_time":"2023-07-05T08:00:49.498866","status":"completed"},"tags":[]},"outputs":[],"source":["# we can get rid of unnecesaary columns\n","\n","# function to drop columns\n","def remove_col(data):\n","    \n","    data.drop([\"PassengerId\", \"Ticket\", \"Cabin\", \"Name\"], axis = 1, inplace = True)\n","    \n","\n","# function to modify our data for testing or evaluation\n","def modify_data(data):\n","    \n","    title_feature(data)  # we created this function earlier\n","    remove_col(data)     # once we have title we can remove cols \n","    \n","    # Label Encoding the categorical data \n","    data[\"Sex\"] = LabelEncoder().fit_transform(data[\"Sex\"])        \n","    data[\"Embarked\"] = LabelEncoder().fit_transform(data[\"Embarked\"])\n","    \n","    return data "]},{"cell_type":"code","execution_count":74,"id":"a8cae0e6","metadata":{"execution":{"iopub.execute_input":"2023-07-05T08:00:50.003315Z","iopub.status.busy":"2023-07-05T08:00:50.00254Z","iopub.status.idle":"2023-07-05T08:00:50.007501Z","shell.execute_reply":"2023-07-05T08:00:50.006623Z"},"papermill":{"duration":0.171915,"end_time":"2023-07-05T08:00:50.010462","exception":false,"start_time":"2023-07-05T08:00:49.838547","status":"completed"},"tags":[]},"outputs":[],"source":["test_df = test_data.copy()"]},{"cell_type":"code","execution_count":75,"id":"8d3a5482","metadata":{"execution":{"iopub.execute_input":"2023-07-05T08:00:50.32927Z","iopub.status.busy":"2023-07-05T08:00:50.328525Z","iopub.status.idle":"2023-07-05T08:00:50.352903Z","shell.execute_reply":"2023-07-05T08:00:50.351653Z"},"papermill":{"duration":0.185671,"end_time":"2023-07-05T08:00:50.355763","exception":false,"start_time":"2023-07-05T08:00:50.170092","status":"completed"},"tags":[]},"outputs":[{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>Pclass</th>\n","      <th>Sex</th>\n","      <th>Age</th>\n","      <th>SibSp</th>\n","      <th>Parch</th>\n","      <th>Fare</th>\n","      <th>Embarked</th>\n","      <th>Title</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>3</td>\n","      <td>1</td>\n","      <td>34.5</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>7.8292</td>\n","      <td>1</td>\n","      <td>1.0</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>3</td>\n","      <td>0</td>\n","      <td>47.0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>7.0000</td>\n","      <td>2</td>\n","      <td>3.0</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>2</td>\n","      <td>1</td>\n","      <td>62.0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>9.6875</td>\n","      <td>1</td>\n","      <td>1.0</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>3</td>\n","      <td>1</td>\n","      <td>27.0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>8.6625</td>\n","      <td>2</td>\n","      <td>1.0</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>3</td>\n","      <td>0</td>\n","      <td>22.0</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>12.2875</td>\n","      <td>2</td>\n","      <td>3.0</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["   Pclass  Sex   Age  SibSp  Parch     Fare  Embarked  Title\n","0       3    1  34.5      0      0   7.8292         1    1.0\n","1       3    0  47.0      1      0   7.0000         2    3.0\n","2       2    1  62.0      0      0   9.6875         1    1.0\n","3       3    1  27.0      0      0   8.6625         2    1.0\n","4       3    0  22.0      1      1  12.2875         2    3.0"]},"execution_count":75,"metadata":{},"output_type":"execute_result"}],"source":["test_df = modify_data(test_df)\n","test_df.head(5)"]},{"cell_type":"code","execution_count":76,"id":"0eab39b9","metadata":{"execution":{"iopub.execute_input":"2023-07-05T08:00:50.680071Z","iopub.status.busy":"2023-07-05T08:00:50.679115Z","iopub.status.idle":"2023-07-05T08:00:50.691484Z","shell.execute_reply":"2023-07-05T08:00:50.690174Z"},"papermill":{"duration":0.181485,"end_time":"2023-07-05T08:00:50.694721","exception":false,"start_time":"2023-07-05T08:00:50.513236","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["Pclass       0\n","Sex          0\n","Age         86\n","SibSp        0\n","Parch        0\n","Fare         1\n","Embarked     0\n","Title        0\n","dtype: int64"]},"execution_count":76,"metadata":{},"output_type":"execute_result"}],"source":["test_df.isna().sum()"]},{"cell_type":"code","execution_count":77,"id":"94ca9fdf","metadata":{"execution":{"iopub.execute_input":"2023-07-05T08:00:51.019147Z","iopub.status.busy":"2023-07-05T08:00:51.0187Z","iopub.status.idle":"2023-07-05T08:00:51.028819Z","shell.execute_reply":"2023-07-05T08:00:51.027Z"},"papermill":{"duration":0.176011,"end_time":"2023-07-05T08:00:51.031751","exception":false,"start_time":"2023-07-05T08:00:50.85574","status":"completed"},"tags":[]},"outputs":[],"source":["test_df.fillna({  \n","    \"Age\": test_df[\"Age\"].median(),\n","    \"Fare\": test_df[\"Fare\"].median()\n","}, inplace = True)"]},{"cell_type":"code","execution_count":78,"id":"a3c9c135","metadata":{"execution":{"iopub.execute_input":"2023-07-05T08:00:51.397298Z","iopub.status.busy":"2023-07-05T08:00:51.396682Z","iopub.status.idle":"2023-07-05T08:00:51.405236Z","shell.execute_reply":"2023-07-05T08:00:51.403909Z"},"papermill":{"duration":0.177241,"end_time":"2023-07-05T08:00:51.407815","exception":false,"start_time":"2023-07-05T08:00:51.230574","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["Pclass      0\n","Sex         0\n","Age         0\n","SibSp       0\n","Parch       0\n","Fare        0\n","Embarked    0\n","Title       0\n","dtype: int64"]},"execution_count":78,"metadata":{},"output_type":"execute_result"}],"source":["test_df.isna().sum()"]},{"cell_type":"markdown","id":"e76b9747","metadata":{"papermill":{"duration":0.162325,"end_time":"2023-07-05T08:00:51.732695","exception":false,"start_time":"2023-07-05T08:00:51.57037","status":"completed"},"tags":[]},"source":["## Evaluating Our Best Model On Test Data"]},{"cell_type":"code","execution_count":79,"id":"df85c476","metadata":{"execution":{"iopub.execute_input":"2023-07-05T08:00:52.137757Z","iopub.status.busy":"2023-07-05T08:00:52.136895Z","iopub.status.idle":"2023-07-05T08:00:52.159579Z","shell.execute_reply":"2023-07-05T08:00:52.158483Z"},"papermill":{"duration":0.18354,"end_time":"2023-07-05T08:00:52.162048","exception":false,"start_time":"2023-07-05T08:00:51.978508","status":"completed"},"tags":[]},"outputs":[{"data":{"text/plain":["array([0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 1, 0, 1, 1, 0, 0, 1, 1, 0, 1,\n","       1, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1,\n","       1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 1,\n","       1, 0, 0, 1, 1, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0,\n","       1, 1, 1, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0,\n","       0, 1, 1, 1, 1, 0, 0, 1, 0, 1, 1, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 0,\n","       0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1,\n","       0, 0, 1, 1, 0, 1, 1, 1, 1, 0, 0, 1, 0, 0, 1, 1, 0, 0, 0, 0, 0, 1,\n","       1, 0, 1, 1, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1,\n","       0, 1, 1, 1, 0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0,\n","       1, 0, 1, 0, 1, 1, 0, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1,\n","       0, 0, 0, 0, 1, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 1,\n","       0, 0, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 0, 1, 1, 1, 1, 1, 0,\n","       0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 1,\n","       0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0,\n","       1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0,\n","       0, 0, 1, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 0, 0, 1, 1, 0, 0, 1, 0, 0,\n","       1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1,\n","       0, 1, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 0, 1, 0, 0, 1])"]},"execution_count":79,"metadata":{},"output_type":"execute_result"}],"source":["best_model = rs_rfc.best_estimator_\n","y_pred = best_model.predict(test_df)\n","y_pred"]},{"cell_type":"code","execution_count":80,"id":"73c025f9","metadata":{"execution":{"iopub.execute_input":"2023-07-05T08:00:52.484068Z","iopub.status.busy":"2023-07-05T08:00:52.483188Z","iopub.status.idle":"2023-07-05T08:00:52.495206Z","shell.execute_reply":"2023-07-05T08:00:52.493818Z"},"papermill":{"duration":0.175971,"end_time":"2023-07-05T08:00:52.497711","exception":false,"start_time":"2023-07-05T08:00:52.32174","status":"completed"},"tags":[]},"outputs":[{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>PassengerId</th>\n","      <th>Survived</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>892</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>893</td>\n","      <td>1</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>894</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>895</td>\n","      <td>0</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>896</td>\n","      <td>1</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["   PassengerId  Survived\n","0          892         0\n","1          893         1\n","2          894         0\n","3          895         0\n","4          896         1"]},"execution_count":80,"metadata":{},"output_type":"execute_result"}],"source":["survivors_report = pd.DataFrame({\n","    \n","    \"PassengerId\": test_data[\"PassengerId\"],\n","    \"Survived\": y_pred\n","})\n","\n","survivors_report.head()"]},{"cell_type":"code","execution_count":81,"id":"e9f9f813","metadata":{"execution":{"iopub.execute_input":"2023-07-05T08:00:52.805827Z","iopub.status.busy":"2023-07-05T08:00:52.805039Z","iopub.status.idle":"2023-07-05T08:00:52.823156Z","shell.execute_reply":"2023-07-05T08:00:52.820689Z"},"papermill":{"duration":0.177147,"end_time":"2023-07-05T08:00:52.82589","exception":false,"start_time":"2023-07-05T08:00:52.648743","status":"completed"},"tags":[]},"outputs":[],"source":["# exporting our data \n","survivors_report.to_csv(\"submission.csv\", index = False)"]},{"cell_type":"code","execution_count":null,"id":"bc06529f","metadata":{"papermill":{"duration":0.160767,"end_time":"2023-07-05T08:00:53.139443","exception":false,"start_time":"2023-07-05T08:00:52.978676","status":"completed"},"tags":[]},"outputs":[],"source":[]}],"metadata":{"kernelspec":{"display_name":"Python 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