model-29-predict-building_age-fillna.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Change Log:\n",
    "- v29 - add building_age and fillna\n",
    "- v28 - using parameter from model-19-build, 2nd best for mae\n",
    "- v26 - change to num_leaves = 350 (v25 reduce to 250)\n",
    "- v19 - use parameters from model-19-build, lower learning rate = 0.0005\n",
    "- v20 - lower learning rate = 0.0008, add height_r and top_floor index\n",
    "- v16 - change parameters (some from model 05), rm reduce to 68\n",
    "- v14 - change random seed\n",
    "- v10 - remove features based on feature importance results (exp-l04-per-area)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Import packages"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import time\n",
    "import pickle\n",
    "import itertools\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import lightgbm as lgb\n",
    "import matplotlib.pyplot as plt\n",
    "from sklearn.model_selection import KFold\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.metrics import mean_squared_error\n",
    "from sklearn.metrics import mean_absolute_error\n",
    "from utilities import *"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "model_name = 'model-29-lgb-building_age-fillna'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Params"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "is_log_target = True\n",
    "is_per_area_target = True\n",
    "\n",
    "map_target = {\n",
    "    (True, True):   'log_per_area_total_price',\n",
    "    (True, False):  'log_total_price',\n",
    "    (False, True):  'per_area_total_price',\n",
    "    (False, False): 'total_price'\n",
    "}\n",
    "col_target = map_target[(is_log_target, is_per_area_target)]\n",
    "\n",
    "#cols_feats_add = ['encoded_latlon', 'building_per_land_area'] # add feats into model\n",
    "cols_num_add = ['building_per_land_area', 'height_r', 'building_age']\n",
    "cols_cat_add = ['encoded_latlon']\n",
    "\n",
    "#cols_feats_rm = [] # TODO: implement before using it\n",
    "#['day_in_year_txn_dt', 'day_in_year_building_complete_dt', 'dt_diff_building_complete_dt_txn_dt'] # dt num feats\n",
    "#['dow_txn_dt', 'dow_building_complete_dt', 'month_txn_dt', 'month_building_complete_dt',\n",
    "# 'quarter_txn_dt', 'quarter_building_complete_dt', 'year_txn_dt', 'year_building_complete_dt'] # dt cat feats"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Processing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "def pre_processing(df, cols_num, cols_cat): #, cols_feats\n",
    "    # Convert types\n",
    "    df[cols_num] = df[cols_num].astype('float32')\n",
    "    \n",
    "    # generate target\n",
    "    if 'total_price' in df:\n",
    "        df['total_price'] = df['total_price'].astype('float32')\n",
    "        df['log_total_price'] = np.log1p(df['total_price'])\n",
    "        df['per_area_total_price'] = df['total_price'] / df['building_area']\n",
    "        df['log_per_area_total_price'] = np.log1p(df['per_area_total_price'])\n",
    "        df['target'] = df[col_target]\n",
    "\n",
    "    # generate lat/lon encoded\n",
    "    kmeans = pickle.load(open('./object_kmeans_k6_combined.pkl', 'rb'))\n",
    "    df['encoded_latlon'] = kmeans.predict(df[['lat','lon']])\n",
    "    \n",
    "    # generate dt feats\n",
    "    df = create_dt_feats(df, 'txn_dt')\n",
    "    df = create_dt_feats(df, 'building_complete_dt')\n",
    "    df['dt_diff_building_complete_dt_txn_dt'] = df['txn_dt'] - df['building_complete_dt']\n",
    "    df['building_age'] = np.floor_divide(df['dt_diff_building_complete_dt_txn_dt'], 365.25)\n",
    "    \n",
    "    # generate building to land ratio\n",
    "    df['building_per_land_area'] = df['building_area'] / df['land_area']\n",
    " \n",
    "    #cols_feats = cols_num + cols_cat + cols_feats_add\n",
    "    \n",
    "    # fix town and city\n",
    "    df['town'] = df['city'].astype('str')+'-'+df['town'].astype('str')\n",
    "    df['village'] = df['town'].astype('str')+'-'+df['village'].astype('str')\n",
    "    \n",
    "    # height ratio\n",
    "    df['height_r'] = df['txn_floor'] / df['total_floor']\n",
    "    #df['top_floor'] = df['txn_floor'] == df['total_floor']\n",
    "    \n",
    "    # fillna for some columns\n",
    "    fillna_values = {\n",
    "        'parking_area': -1.,\n",
    "        'parking_price': -1.,\n",
    "        'txn_floor': 0.,\n",
    "        'height_r': 0.,\n",
    "        #'village_income_median': 'median',\n",
    "    }\n",
    "    for c, v in fillna_values.items():\n",
    "        df[c] = df[c].fillna(v)\n",
    "    \n",
    "    return df  #, cols_feats"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "from feature_engineering import CategoricalColumnsEncoder\n",
    "from feature_engineering import TargetMeanEncoding\n",
    "from feature_engineering import MultiLabelEncoding\n",
    "\n",
    "class FeatureEngineering():\n",
    "    def __init__(self, cols_num, cols_cat, cols_feats, col_target, n_ran_encode=4):\n",
    "        # cols\n",
    "        self.cols_num = cols_num\n",
    "        self.cols_cat = cols_cat\n",
    "        self.cols_feats = cols_feats\n",
    "        self.col_target = col_target\n",
    "        \n",
    "        # Numbers\n",
    "        self.n_ran_encode = n_ran_encode\n",
    "        \n",
    "        # encoders\n",
    "        #self.tar_encoder = TargetMeanEncoding(col_target = self.col_target)\n",
    "        #self.ran_encoder = MultiLabelEncoding(self.n_ran_encode)\n",
    "        self.cat_astyper = CategoricalColumnsEncoder(mode='pandas')\n",
    "        \n",
    "    def fit_transform(self, df):\n",
    "        df = df.copy()    \n",
    "#        encoded1 = self.tar_encoder.fit_transform(df[self.cols_cat], df[self.col_target])\n",
    "#        encoded2 = self.ran_encoder.fit_transform(df[self.cols_cat])\n",
    "        self.cat_astyper.fit_transform(df, self.cols_cat)    \n",
    "        return df\n",
    "#        return pd.concat([df, encoded1, encoded2], axis=1)\n",
    "    \n",
    "    def transform(self, df):\n",
    "        df = df.copy()\n",
    "#        encoded1 = self.tar_encoder.transform(df[self.cols_cat])\n",
    "#        encoded2 = self.ran_encoder.transform(df[self.cols_cat])     # TODO: add generated feats into cols_feats\n",
    "        self.cat_astyper.transform(df)\n",
    "        return df\n",
    "#        return pd.concat([df, encoded1, encoded2], axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "def post_processing(y_pred, df):\n",
    "    \"\"\"Args: \n",
    "          y_pred (1d np.array): raw prediction y\n",
    "          df (pd.Dataframe): input feature df\n",
    "       Return: np.array\n",
    "    \"\"\"\n",
    "    y_pred_final = y_pred.copy()\n",
    "    \n",
    "    if is_log_target:\n",
    "        y_pred_final = np.expm1(y_pred_final)\n",
    "        y_pred_final = np.clip(y_pred_final, 0, None)\n",
    "\n",
    "    if is_per_area_target:\n",
    "        y_pred_final = y_pred_final * df['building_area'].values\n",
    "        \n",
    "    return y_pred_final"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "cols_num = ['txn_dt', 'total_floor', 'building_complete_dt', 'parking_area', 'parking_price', 'txn_floor',\n",
    "            'land_area', 'building_area', 'lat', 'lon', 'village_income_median', 'town_population', 'town_area',\n",
    "            'town_population_density', 'doc_rate', 'master_rate', 'bachelor_rate', 'jobschool_rate',\n",
    "            'highschool_rate', 'junior_rate', 'elementary_rate', 'born_rate', 'death_rate', 'marriage_rate',\n",
    "            'divorce_rate', 'N_50', 'N_500', 'N_1000', 'N_5000', 'N_10000', 'I_10', 'I_50', 'I_100', 'I_250',\n",
    "            'I_500', 'I_1000', 'I_5000', 'I_10000', 'I_MIN', 'II_10', 'II_50', 'II_100', 'II_250', 'II_500',\n",
    "            'II_1000', 'II_5000', 'II_10000', 'II_MIN', 'III_10', 'III_50', 'III_100', 'III_250', 'III_500',\n",
    "            'III_1000', 'III_5000', 'III_10000', 'III_MIN', 'IV_10', 'IV_50', 'IV_100', 'IV_250', 'IV_500',\n",
    "            'IV_1000', 'IV_5000', 'IV_10000', 'IV_MIN', 'V_10', 'V_50', 'V_100', 'V_250', 'V_500', 'V_1000',\n",
    "            'V_5000', 'V_10000', 'V_MIN', 'VI_50', 'VI_100', 'VI_250', 'VI_500', 'VI_1000', 'VI_5000', 'VI_10000',\n",
    "            'VI_MIN', 'VII_10', 'VII_50', 'VII_100', 'VII_250', 'VII_500', 'VII_1000', 'VII_5000', 'VII_10000',\n",
    "            'VII_MIN', 'VIII_10', 'VIII_50', 'VIII_100', 'VIII_250', 'VIII_500', 'VIII_1000', 'VIII_5000',\n",
    "            'VIII_10000', 'VIII_MIN', 'IX_10', 'IX_50', 'IX_100', 'IX_250', 'IX_500', 'IX_1000', 'IX_5000',\n",
    "            'IX_10000', 'IX_MIN', 'X_10', 'X_50', 'X_100', 'X_250', 'X_500', 'X_1000', 'X_5000', 'X_10000', 'X_MIN',\n",
    "            'XI_10', 'XI_50', 'XI_100', 'XI_250', 'XI_500', 'XI_1000', 'XI_5000', 'XI_10000', 'XI_MIN', 'XII_10',\n",
    "            'XII_50', 'XII_100', 'XII_250', 'XII_500', 'XII_1000', 'XII_5000', 'XII_10000', 'XII_MIN', 'XIII_10',\n",
    "            'XIII_50', 'XIII_100', 'XIII_250', 'XIII_500', 'XIII_1000', 'XIII_5000', 'XIII_10000', 'XIII_MIN',\n",
    "            'XIV_10', 'XIV_50', 'XIV_100', 'XIV_250', 'XIV_500', 'XIV_1000', 'XIV_5000', 'XIV_10000', 'XIV_MIN']\n",
    "cols_cat = ['building_material', 'city', 'building_type', 'building_use', 'parking_way', 'town', 'village',\n",
    "            'I_index_50', 'I_index_500', 'I_index_1000', 'II_index_50', 'II_index_500', 'II_index_1000',\n",
    "            'III_index_50', 'III_index_500', 'III_index_1000', 'IV_index_50', 'IV_index_500', 'IV_index_1000',\n",
    "            'IV_index_5000', 'V_index_50', 'V_index_500', 'V_index_1000', 'VI_10', 'VI_index_50', 'VI_index_500',\n",
    "            'VI_index_1000', 'VII_index_50', 'VII_index_500', 'VII_index_1000', 'VIII_index_50', 'VIII_index_500',\n",
    "            'VIII_index_1000', 'IX_index_50', 'IX_index_500', 'IX_index_1000', 'IX_index_5000', 'X_index_50',\n",
    "            'X_index_500', 'X_index_1000', 'XI_index_50', 'XI_index_500', 'XI_index_1000', 'XI_index_5000',\n",
    "            'XI_index_10000', 'XII_index_50', 'XII_index_500', 'XII_index_1000', 'XIII_index_50', 'XIII_index_500',\n",
    "            'XIII_index_1000', 'XIII_index_5000', 'XIII_index_10000', 'XIV_index_50', 'XIV_index_500',\n",
    "            'XIV_index_1000']\n",
    "cols_feats = cols_num + cols_cat\n",
    "\n",
    "# informational cols\n",
    "cols_dt = ['txn_dt', 'building_complete_dt']\n",
    "cols_bin = ['I_index_50', 'I_index_500', 'I_index_1000', 'II_index_50', 'II_index_500', 'II_index_1000',\n",
    "            'III_index_50', 'III_index_500', 'III_index_1000', 'IV_index_50', 'IV_index_500', 'IV_index_1000',\n",
    "            'IV_index_5000', 'V_index_50', 'V_index_500', 'V_index_1000', 'VI_10', 'VI_index_50', 'VI_index_500',\n",
    "            'VI_index_1000', 'VII_index_50', 'VII_index_500', 'VII_index_1000', 'VIII_index_50', 'VIII_index_500',\n",
    "            'VIII_index_1000', 'IX_index_50', 'IX_index_500', 'IX_index_1000', 'IX_index_5000', 'X_index_50',\n",
    "            'X_index_500', 'X_index_1000', 'XI_index_50', 'XI_index_500', 'XI_index_1000', 'XI_index_5000',\n",
    "            'XI_index_10000', 'XII_index_50', 'XII_index_500', 'XII_index_1000', 'XIII_index_50', 'XIII_index_500',\n",
    "            'XIII_index_1000', 'XIII_index_5000', 'XIII_index_10000', 'XIV_index_50', 'XIV_index_500',\n",
    "            'XIV_index_1000']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Read data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>building_id</th>\n",
       "      <th>building_material</th>\n",
       "      <th>city</th>\n",
       "      <th>txn_dt</th>\n",
       "      <th>total_floor</th>\n",
       "      <th>building_type</th>\n",
       "      <th>building_use</th>\n",
       "      <th>building_complete_dt</th>\n",
       "      <th>parking_way</th>\n",
       "      <th>parking_area</th>\n",
       "      <th>...</th>\n",
       "      <th>XIV_500</th>\n",
       "      <th>XIV_index_500</th>\n",
       "      <th>XIV_1000</th>\n",
       "      <th>XIV_index_1000</th>\n",
       "      <th>XIV_5000</th>\n",
       "      <th>XIV_index_5000</th>\n",
       "      <th>XIV_10000</th>\n",
       "      <th>XIV_index_10000</th>\n",
       "      <th>XIV_MIN</th>\n",
       "      <th>total_price</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>e3mMIMR3JJqCaXz1</td>\n",
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       "      <td>...</td>\n",
       "      <td>58</td>\n",
       "      <td>1</td>\n",
       "      <td>157</td>\n",
       "      <td>1</td>\n",
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       "      <td>1</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
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       "      <td>7885</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>28</td>\n",
       "      <td>1</td>\n",
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       "      <td>1</td>\n",
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       "      <td>32221</td>\n",
       "      <td>1</td>\n",
       "      <td>40.07357348973039</td>\n",
       "      <td>3321452.0</td>\n",
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       "      <td>6028</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>78</td>\n",
       "      <td>1</td>\n",
       "      <td>212</td>\n",
       "      <td>1</td>\n",
       "      <td>15760</td>\n",
       "      <td>1</td>\n",
       "      <td>32228</td>\n",
       "      <td>1</td>\n",
       "      <td>54.46208108983661</td>\n",
       "      <td>9570885.316206373</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>jre1pJhcQj91Kdky</td>\n",
       "      <td>8</td>\n",
       "      <td>21</td>\n",
       "      <td>20385</td>\n",
       "      <td>24</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>18325</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>20</td>\n",
       "      <td>1</td>\n",
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       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 235 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        building_id building_material city txn_dt total_floor building_type  \\\n",
       "0  e3mMIMR3JJqCaXz1                 8   21  18674           4             3   \n",
       "1  LgwzgklNvy4QCtq5                 8    7  18800           5             1   \n",
       "2  ucIR2NLLsC3T650L                 8    7  19289           4             1   \n",
       "3  jre1pJhcQj91Kdky                 8   21  20385          24             0   \n",
       "4  rQpYpY9nRG7X5mmr                 1   21  20657           2             4   \n",
       "\n",
       "  building_use building_complete_dt parking_way parking_area  ... XIV_500  \\\n",
       "0            2                 6271           2          NaN  ...      58   \n",
       "1            2                 7885           2          NaN  ...      28   \n",
       "2            2                 6028           2          NaN  ...      78   \n",
       "3            2                18325           0          NaN  ...      20   \n",
       "4            2                 6880           2          NaN  ...      18   \n",
       "\n",
       "  XIV_index_500 XIV_1000 XIV_index_1000 XIV_5000 XIV_index_5000 XIV_10000  \\\n",
       "0             1      157              1     2483              1      6011   \n",
       "1             1      115              1    15872              1     32221   \n",
       "2             1      212              1    15760              1     32228   \n",
       "3             1      125              1     2568              1      7271   \n",
       "4             1       47              1     2587              1      7442   \n",
       "\n",
       "  XIV_index_10000             XIV_MIN         total_price  \n",
       "0               1  34.469802848528126   647603.7704719775  \n",
       "1               1   40.07357348973039           3321452.0  \n",
       "2               1   54.46208108983661   9570885.316206373  \n",
       "3               1   99.62896580763416  14215011.127100045  \n",
       "4               1   124.1312362968124   762711.9757135696  \n",
       "\n",
       "[5 rows x 235 columns]"
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       "  <thead>\n",
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       "      <th></th>\n",
       "      <th>building_id</th>\n",
       "      <th>building_material</th>\n",
       "      <th>city</th>\n",
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       "      <th>parking_area</th>\n",
       "      <th>...</th>\n",
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       "<p>5 rows × 234 columns</p>\n",
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      ],
      "text/plain": [
       "        building_id building_material city txn_dt total_floor building_type  \\\n",
       "0  X5gsdTWGS3W7JJQB                 1   13  18634           2             4   \n",
       "1  BTshNOJyKHnT2YIT                 8    7  20199          10             3   \n",
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       "4  wmUeMoJZfsqaSX9b                 8    3  18164          13             0   \n",
       "\n",
       "  building_use building_complete_dt parking_way parking_area  ... XIV_250  \\\n",
       "0            2                 1857           2          NaN  ...       7   \n",
       "1            2                16011           2          NaN  ...      18   \n",
       "2           10                18294           2          NaN  ...       0   \n",
       "3            0                17837           2          NaN  ...      16   \n",
       "4            2                13272           2          NaN  ...       4   \n",
       "\n",
       "  XIV_500 XIV_index_500 XIV_1000 XIV_index_1000 XIV_5000 XIV_index_5000  \\\n",
       "0      21             1      129              1     3991              1   \n",
       "1      44             1       67              1     1950              1   \n",
       "2       3             1       35              1     3707              1   \n",
       "3      60             1      144              1     6487              1   \n",
       "4      18             1       76              1     1346              1   \n",
       "\n",
       "  XIV_10000 XIV_index_10000             XIV_MIN  \n",
       "0      8409               1   105.4622312795739  \n",
       "1     10725               1  100.81980868401074  \n",
       "2     19459               1   259.8005430183116  \n",
       "3     29400               1  22.941906168328487  \n",
       "4      3280               1  181.21309507601745  \n",
       "\n",
       "[5 rows x 234 columns]"
      ]
     },
     "metadata": {},
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    }
   ],
   "source": [
    "train = pd.read_csv('dataset/train.csv', dtype=object)\n",
    "test = pd.read_csv('dataset/test.csv', dtype=object)\n",
    "display(train.head(5))\n",
    "display(test.head(5))\n",
    "\n",
    "id_cv = []\n",
    "for i in range(5):\n",
    "    id_one_fold = pd.read_csv(f'dataset/id_cv{i}.csv', dtype=object)['building_id']\n",
    "    id_cv.append(id_one_fold)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Preprocessing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/skyhuang/.local/lib/python3.6/site-packages/sklearn/base.py:306: UserWarning: Trying to unpickle estimator KMeans from version 0.20.3 when using version 0.21.2. This might lead to breaking code or invalid results. Use at your own risk.\n",
      "  UserWarning)\n",
      "/home/skyhuang/.local/lib/python3.6/site-packages/sklearn/base.py:306: UserWarning: Trying to unpickle estimator KMeans from version 0.20.3 when using version 0.21.2. This might lead to breaking code or invalid results. Use at your own risk.\n",
      "  UserWarning)\n"
     ]
    }
   ],
   "source": [
    "train = pre_processing(train, cols_num, cols_cat)\n",
    "test = pre_processing(test, cols_num, cols_cat)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "cols_num = cols_num + [c for c in cols_num_add if c not in cols_num]\n",
    "cols_cat = cols_cat + [c for c in cols_cat_add if c not in cols_cat]\n",
    "cols_feats = cols_num + cols_cat"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
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       "      <td>8310.0</td>\n",
       "      <td>2</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>55</td>\n",
       "      <td>1</td>\n",
       "      <td>280</td>\n",
       "      <td>9</td>\n",
       "      <td>3</td>\n",
       "      <td>22</td>\n",
       "      <td>12075.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>0.325006</td>\n",
       "      <td>0.800000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>10 rows × 254 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            building_id building_material city   txn_dt  total_floor  \\\n",
       "0      e3mMIMR3JJqCaXz1                 8   21  18674.0          4.0   \n",
       "1      LgwzgklNvy4QCtq5                 8    7  18800.0          5.0   \n",
       "2      ucIR2NLLsC3T650L                 8    7  19289.0          4.0   \n",
       "3      jre1pJhcQj91Kdky                 8   21  20385.0         24.0   \n",
       "4      rQpYpY9nRG7X5mmr                 1   21  20657.0          2.0   \n",
       "59995  Oh5Hwr9LrWApC2mr                 1    5  19040.0          2.0   \n",
       "59996  PiOgZqfsDVlTq1zs                 8   13  19706.0         14.0   \n",
       "59997  FQmlgGohzzWuKUzu                 8    7  19901.0         11.0   \n",
       "59998  zjzfMwXhDswdEaI2                 8   13  19975.0          5.0   \n",
       "59999  iN4H6wBMtvJpF0SN                 8    7  20385.0          5.0   \n",
       "\n",
       "      building_type building_use  building_complete_dt parking_way  \\\n",
       "0                 3            2                6271.0           2   \n",
       "1                 1            2                7885.0           2   \n",
       "2                 1            2                6028.0           2   \n",
       "3                 0            2               18325.0           0   \n",
       "4                 4            2                6880.0           2   \n",
       "59995             4            2                9193.0           2   \n",
       "59996             2            5               17168.0           0   \n",
       "59997             0            2               13729.0           0   \n",
       "59998             1            2                7063.0           2   \n",
       "59999             1            2                8310.0           2   \n",
       "\n",
       "       parking_area  ...  year_txn_dt  dow_building_complete_dt  \\\n",
       "0         -1.000000  ...           51                         6   \n",
       "1         -1.000000  ...           51                         3   \n",
       "2         -1.000000  ...           52                         1   \n",
       "3         -1.000000  ...           55                         6   \n",
       "4         -1.000000  ...           56                         6   \n",
       "59995     -1.000000  ...           52                         2   \n",
       "59996      3.738412  ...           53                         4   \n",
       "59997     -1.000000  ...           54                         2   \n",
       "59998     -1.000000  ...           54                         0   \n",
       "59999     -1.000000  ...           55                         1   \n",
       "\n",
       "       day_in_year_building_complete_dt  month_building_complete_dt  \\\n",
       "0                                    66                           2   \n",
       "1                                   220                           7   \n",
       "2                                   188                           6   \n",
       "3                                    75                           2   \n",
       "4                                   310                          10   \n",
       "59995                                68                           2   \n",
       "59996                                13                           0   \n",
       "59997                               224                           7   \n",
       "59998                               128                           4   \n",
       "59999                               280                           9   \n",
       "\n",
       "      quarter_building_complete_dt  year_building_complete_dt  \\\n",
       "0                                0                         17   \n",
       "1                                2                         21   \n",
       "2                                2                         16   \n",
       "3                                0                         50   \n",
       "4                                3                         18   \n",
       "59995                            0                         25   \n",
       "59996                            0                         47   \n",
       "59997                            2                         37   \n",
       "59998                            1                         19   \n",
       "59999                            3                         22   \n",
       "\n",
       "       dt_diff_building_complete_dt_txn_dt  building_age  \\\n",
       "0                                  12403.0          33.0   \n",
       "1                                  10915.0          29.0   \n",
       "2                                  13261.0          36.0   \n",
       "3                                   2060.0           5.0   \n",
       "4                                  13777.0          37.0   \n",
       "59995                               9847.0          26.0   \n",
       "59996                               2538.0           6.0   \n",
       "59997                               6172.0          16.0   \n",
       "59998                              12912.0          35.0   \n",
       "59999                              12075.0          33.0   \n",
       "\n",
       "       building_per_land_area  height_r  \n",
       "0                    0.188387  0.750000  \n",
       "1                    0.354898  1.000000  \n",
       "2                    0.260621  0.250000  \n",
       "3                    1.191074  0.541667  \n",
       "4                    0.076470  0.000000  \n",
       "59995                0.132647  0.000000  \n",
       "59996                1.281212  0.500000  \n",
       "59997                0.722181  0.545455  \n",
       "59998                0.378677  0.600000  \n",
       "59999                0.325006  0.800000  \n",
       "\n",
       "[10 rows x 254 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "shape = (60000, 254)\n"
     ]
    }
   ],
   "source": [
    "train.check()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "village_income_median    1142\n",
       "dtype: int64"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "null_counts = train.isnull().sum(axis=0)\n",
    "mask_cols_null = null_counts > 0\n",
    "null_counts[mask_cols_null]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Index(['village_income_median'], dtype='object')\n"
     ]
    }
   ],
   "source": [
    "cols_null = null_counts[mask_cols_null].index\n",
    "print(cols_null)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Remove feats based on shuffle results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[0 'divorce_rate' 5709.20035 3.333296666667593]\n",
      " [1 'I_250' 5709.200316666666 3.333263333333889]\n",
      " [2 'XI_100' 5708.200346666667 2.33329333333495]\n",
      " [3 'VI_index_500' 5707.867050000001 1.9999966666682667]\n",
      " [4 'IX_index_50' 5707.86704 1.9999866666676098]\n",
      " [5 'VI_500' 5707.866983333333 1.9999300000008589]\n",
      " [6 'XIV_10' 5707.533710000001 1.666656666668132]\n",
      " [7 'XI_index_500' 5707.200386666666 1.3333333333339397]\n",
      " [8 'VI_index_1000' 5707.200383333334 1.3333300000012969]\n",
      " [9 'V_100' 5707.200373333333 1.33332000000064]\n",
      " [10 'VII_10' 5707.200363333334 1.333310000001802]\n",
      " [11 'X_100' 5707.200336666666 1.3332833333333838]\n",
      " [12 'XII_index_50' 5706.867056666667 1.0000033333344618]\n",
      " [15 'X_index_500' 5706.867050000001 0.9999966666682667]\n",
      " [14 'X_10' 5706.867050000001 0.9999966666682667]\n",
      " [13 'II_10' 5706.867050000001 0.9999966666682667]\n",
      " [16 'II_index_500' 5706.867046666666 0.9999933333338049]\n",
      " [17 'V_index_1000' 5706.867046666666 0.9999933333338049]\n",
      " [18 'XIII_10' 5706.867043333335 0.9999900000020716]\n",
      " [19 'XIV_index_50' 5706.867043333335 0.9999900000020716]\n",
      " [20 'VIII_index_500' 5706.86704 0.9999866666676098]\n",
      " [21 'IX_50' 5706.867016666667 0.9999633333345628]\n",
      " [22 'XI_index_1000' 5706.533726666666 0.6666733333331649]\n",
      " [23 'XI_10' 5706.533719999999 0.6666666666669698]\n",
      " [24 'II_index_1000' 5706.533719999999 0.6666666666669698]\n",
      " [25 'VII_index_500' 5706.533719999999 0.6666666666669698]\n",
      " [26 'X_index_1000' 5706.533719999999 0.6666666666669698]\n",
      " [30 'XIII_index_1000' 5706.533716666668 0.6666633333352365]\n",
      " [31 'XIV_index_500' 5706.533716666668 0.6666633333352365]\n",
      " [27 'VI_100' 5706.533716666668 0.6666633333352365]\n",
      " [29 'IX_index_500' 5706.533716666668 0.6666633333352365]\n",
      " [28 'I_index_1000' 5706.533716666668 0.6666633333352365]\n",
      " [32 'XIII_index_500' 5706.533713333333 0.6666600000007747]\n",
      " [33 'V_10' 5706.533706666666 0.6666533333336702]\n",
      " [34 'VII_index_50' 5706.533706666666 0.6666533333336702]\n",
      " [35 'I_500' 5706.533573333333 0.6665200000006735]\n",
      " [36 'IV_index_50' 5706.200386666666 0.33333333333393966]\n",
      " [37 'V_index_500' 5706.200386666666 0.33333333333393966]\n",
      " [38 'VI_index_50' 5706.200386666666 0.33333333333393966]\n",
      " [39 'XIII_index_5000' 5706.200386666666 0.33333333333393966]\n",
      " [40 'VI_50' 5706.200383333334 0.33333000000129687]\n",
      " [41 'III_index_1000' 5706.200383333334 0.33333000000129687]\n",
      " [44 'I_index_50' 5706.200379999999 0.3333266666668351]\n",
      " [42 'I_50' 5706.200379999999 0.3333266666668351]\n",
      " [43 'IV_50' 5706.200379999999 0.3333266666668351]\n",
      " [45 'III_index_50' 5706.200370000001 0.3333166666689067]\n",
      " [46 'VI_250' 5706.200366666667 0.3333133333344449]\n",
      " [47 'XI_index_50' 5706.200366666667 0.3333133333344449]\n",
      " [48 'VI_1000' 5706.200263333333 0.33321000000069034]\n",
      " [49 'XII_index_500' 5705.867056666667 3.333334461785853e-06]\n",
      " [59 'XIV_index_1000' 5705.8670533333325 0.0]\n",
      " [58 'XIII_index_50' 5705.8670533333325 0.0]\n",
      " [57 'XII_index_1000' 5705.8670533333325 0.0]\n",
      " [55 'IX_index_5000' 5705.8670533333325 0.0]\n",
      " [56 'XI_index_10000' 5705.8670533333325 0.0]\n",
      " [53 'VI_10' 5705.8670533333325 0.0]\n",
      " [54 'VII_index_1000' 5705.8670533333325 0.0]\n",
      " [52 'IV_index_5000' 5705.8670533333325 0.0]\n",
      " [51 'I_10' 5705.8670533333325 0.0]\n",
      " [50 'none' 5705.8670533333325 0.0]\n",
      " [60 'VIII_index_1000' 5705.867050000001 -3.3333317333017476e-06]\n",
      " [61 'XI_index_5000' 5705.867050000001 -3.3333317333017476e-06]\n",
      " [62 'I_index_500' 5705.86704 -1.3333332390175201e-05]\n",
      " [63 'II_index_50' 5705.86704 -1.3333332390175201e-05]\n",
      " [64 'IX_index_1000' 5705.867036666667 -1.666666503297165e-05]\n",
      " [65 'I_100' 5705.86703 -2.3333332137553953e-05]\n",
      " [66 'II_50' 5705.8670133333335 -3.9999998989515007e-05]\n",
      " [67 'N_500' 5705.866976666667 -7.666666533623356e-05]\n",
      " [68 'N_5000' 5705.533719999999 -0.33333333333303017]\n",
      " [69 'IX_10' 5705.533713333333 -0.33333999999922526]\n",
      " [70 'IV_index_1000' 5705.533713333333 -0.33333999999922526]\n",
      " [71 'X_index_50' 5705.533713333333 -0.33333999999922526]\n",
      " [72 'IV_10' 5705.533710000001 -0.33334333333186805]\n",
      " [73 'XIII_index_10000' 5705.533710000001 -0.33334333333186805]\n",
      " [74 'XII_10' 5705.533630000001 -0.33342333333166607]\n",
      " [75 'III_10' 5705.200383333334 -0.6666699999987031]\n",
      " [76 'X_50' 5705.200370000001 -0.6666833333310933]\n",
      " [77 'IV_index_500' 5705.200370000001 -0.6666833333310933]\n",
      " [78 'VIII_index_50' 5705.200363333334 -0.6666899999981979]\n",
      " [79 'XI_50' 5705.20035 -0.666703333332407]\n",
      " [80 'N_10000' 5705.200326666666 -0.6667266666663636]\n",
      " [81 'V_index_50' 5704.867036666667 -1.000016666665033]\n",
      " [82 'X_500' 5704.86689 -1.0001633333322388]\n",
      " [83 'X_250' 5704.866873333333 -1.0001799999990908]\n",
      " [84 'III_index_500' 5704.533719999999 -1.3333333333330302]\n",
      " [85 'XIII_50' 5704.533710000001 -1.333343333331868]\n",
      " [86 'XIII_100' 5704.533710000001 -1.333343333331868]\n",
      " [87 'V_50' 5704.200356666667 -1.6666966666653025]\n",
      " [88 'IX_100' 5704.2002600000005 -1.6667933333319525]\n",
      " [89 'XIV_250' 5704.200026666666 -1.667026666666061]\n",
      " [90 'IV_100' 5703.867026666667 -2.00002666666569]\n",
      " [91 'IV_250' 5703.866953333333 -2.0000999999992928]\n",
      " [92 'III_100' 5703.533653333333 -2.3333999999995285]\n",
      " [93 'XIV_100' 5703.533503333333 -2.333549999999377]\n",
      " [94 'XIII_250' 5703.200316666666 -2.666736666666111]\n",
      " [95 'XI_250' 5703.200193333333 -2.6668599999993603]\n",
      " [96 'VIII_10' 5702.866996666667 -3.0000566666658415]\n",
      " [97 'IX_250' 5702.200013333334 -3.667039999998451]\n",
      " [98 'IV_500' 5701.866936666666 -4.000116666666145]\n",
      " [99 'IX_5000' 5701.533173333333 -4.333879999999226]\n",
      " [100 'XII_100' 5701.2001666666665 -4.66688666666596]\n",
      " [101 'II_100' 5700.866966666667 -5.000086666665084]\n",
      " [102 'N_1000' 5700.866936666666 -5.000116666666145]\n",
      " [103 'born_rate' 5700.86682 -5.0002333333322895]\n",
      " [104 'junior_rate' 5700.5335000000005 -5.33355333333202]\n",
      " [105 'VIII_50' 5700.533383333334 -5.333669999998165]\n",
      " [106 'marriage_rate' 5700.533316666667 -5.333736666665573]\n",
      " [107 'XIV_50' 5699.533613333333 -6.3334399999994275]\n",
      " [108 'VII_50' 5699.533456666667 -6.333596666665471]\n",
      " [109 'IV_1000' 5699.199853333333 -6.667199999999866]\n",
      " [110 'II_250' 5698.53337 -7.333683333332374]\n",
      " [111 'XIII_500' 5698.200293333332 -7.6667600000000675]\n",
      " [112 'III_50' 5698.200069999999 -7.666983333333519]\n",
      " [113 'II_10000' 5698.199886666666 -7.667166666666162]\n",
      " [114 'IV_5000' 5697.866536666667 -8.000516666665135]\n",
      " [115 'XIII_1000' 5697.533463333333 -8.333589999999276]\n",
      " [116 'III_250' 5697.200150000001 -8.666903333331902]\n",
      " [117 'VIII_100' 5696.866476666667 -9.000576666665438]\n",
      " [118 'XII_50' 5696.200313333335 -9.666739999997844]\n",
      " [119 'N_50' 5696.19989 -9.66716333333261]\n",
      " [120 'VIII_5000' 5695.533113333334 -10.33393999999862]\n",
      " [121 'I_1000' 5694.866853333333 -11.000199999999495]\n",
      " [122 'VI_MIN' 5694.866663333334 -11.000389999998333]\n",
      " [123 'XIV_500' 5694.866446666667 -11.00060666666559]\n",
      " [124 'VII_100' 5694.53343 -11.33362333333207]\n",
      " [125 'XI_500' 5693.8668800000005 -12.000173333331986]\n",
      " [126 'IV_10000' 5693.532886666667 -12.334166666665624]\n",
      " [127 'V_MIN' 5692.86606 -13.00099333333219]\n",
      " [128 'death_rate' 5692.5331633333335 -13.333889999998974]\n",
      " [129 'VIII_10000' 5692.199853333333 -13.667199999999866]\n",
      " [130 'XIII_MIN' 5691.533060000001 -14.333993333331819]\n",
      " [131 'V_500' 5690.199906666668 -15.667146666664848]\n",
      " [132 'I_MIN' 5690.19978 -15.66727333333256]\n",
      " [133 'V_250' 5689.200093333333 -16.666959999999563]\n",
      " [134 'IV_MIN' 5689.1995566666665 -16.66749666666601]\n",
      " [135 'III_500' 5688.866743333333 -17.000309999999445]\n",
      " [136 'IX_500' 5688.86639 -17.00066333333234]\n",
      " [137 'XI_5000' 5688.533226666666 -17.333826666666027]\n",
      " [138 'XII_250' 5688.533106666667 -17.333946666665724]\n",
      " [139 'III_1000' 5687.866279999999 -18.0007733333332]\n",
      " [140 'XI_MIN' 5687.532873333334 -18.334179999998923]\n",
      " [141 'X_10000' 5687.532800000001 -18.334253333331617]\n",
      " [142 'II_500' 5686.532996666666 -19.334056666666584]\n",
      " [143 'III_5000' 5684.866556666667 -21.00049666666564]\n",
      " [144 'V_1000' 5683.866256666667 -22.000796666665337]\n",
      " [145 'III_10000' 5683.5324900000005 -22.33456333333197]\n",
      " [146 'VII_MIN' 5683.199209999999 -22.66784333333362]\n",
      " [147 'XII_500' 5683.199173333334 -22.66787999999815]\n",
      " [148 'III_MIN' 5682.532556666666 -23.334496666666382]\n",
      " [149 'VIII_250' 5681.86623 -24.000823333332846]\n",
      " [150 'XIV_1000' 5680.866440000001 -25.000613333331785]\n",
      " [151 'town_area' 5680.533066666667 -25.333986666665623]\n",
      " [152 'XIV_MIN' 5680.19969 -25.667363333332105]\n",
      " [153 'II_MIN' 5677.53274 -28.33431333333283]\n",
      " [154 'XII_5000' 5676.8655733333335 -29.001479999998992]\n",
      " [155 'building_material' 5676.865563333333 -29.00148999999965]\n",
      " [156 'X_1000' 5675.865993333333 -30.001059999999597]\n",
      " [157 'I_5000' 5675.532426666668 -30.334626666664917]\n",
      " [158 'XI_10000' 5675.199393333333 -30.66765999999916]\n",
      " [159 'XII_10000' 5674.865669999999 -31.00138333333325]\n",
      " [160 'elementary_rate' 5674.532066666667 -31.334986666665827]\n",
      " [161 'town_population_density' 5674.199496666667 -31.667556666665405]\n",
      " [162 'IX_MIN' 5673.5324900000005 -32.33456333333197]\n",
      " [163 'XII_MIN' 5672.199463333333 -33.66758999999911]\n",
      " [164 'X_MIN' 5672.199316666666 -33.667736666666315]\n",
      " [165 'VII_250' 5671.865873333333 -34.001179999999295]\n",
      " [166 'XIV_10000' 5669.865906666667 -36.00114666666559]\n",
      " [167 'X_5000' 5669.865403333333 -36.001649999999245]\n",
      " [168 'parking_area' 5665.866163333333 -40.000889999999345]\n",
      " [169 'IX_10000' 5665.53269 -40.334363333332476]\n",
      " [170 'highschool_rate' 5664.532736666667 -41.33431666666547]\n",
      " [171 'II_5000' 5662.532619999999 -43.334433333333436]\n",
      " [172 'V_5000' 5661.19843 -44.66862333333211]\n",
      " [173 'VIII_MIN' 5660.532049999999 -45.33500333333359]\n",
      " [174 'VIII_500' 5658.531816666667 -47.33523666666588]\n",
      " [175 'VIII_1000' 5657.86419 -48.00286333333224]\n",
      " [176 'I_10000' 5655.531346666667 -50.33570666666583]\n",
      " [177 'building_use' 5652.19898 -53.66807333333236]\n",
      " [178 'XII_1000' 5644.19792 -61.669133333332866]\n",
      " [179 'VI_5000' 5641.86575 -64.00130333333254]\n",
      " [180 'lat' 5637.531133333333 -68.33591999999953]\n",
      " [181 'VII_5000' 5631.530966666666 -74.33608666666623]\n",
      " [182 'VII_500' 5629.531536666666 -76.33551666666608]\n",
      " [183 'town_population' 5626.198586666666 -79.66846666666606]\n",
      " [184 'city' 5624.864426666667 -81.00262666666549]\n",
      " [185 'II_1000' 5618.53164 -87.33541333333233]\n",
      " [186 'IX_1000' 5609.530946666667 -96.33610666666573]\n",
      " [187 'XI_1000' 5600.864693333333 -105.0023599999995]\n",
      " [188 'jobschool_rate' 5577.52952 -128.33753333333243]\n",
      " [189 'bachelor_rate' 5564.530006666667 -141.33704666666563]\n",
      " [190 'XIV_5000' 5544.529993333334 -161.33705999999893]\n",
      " [191 'V_10000' 5527.5279433333335 -178.33910999999898]\n",
      " [192 'VII_1000' 5483.195199999999 -222.67185333333327]\n",
      " [193 'parking_way' 5481.528866666667 -224.33818666666502]\n",
      " [194 'XIII_5000' 5403.193223333333 -302.6738299999997]\n",
      " [195 'lon' 5361.52429 -344.3427633333322]\n",
      " [196 'parking_price' 5360.190783333333 -345.67626999999993]\n",
      " [197 'master_rate' 5210.856313333333 -495.0107399999997]\n",
      " [198 'building_type' 5193.523143333333 -512.3439099999996]\n",
      " [199 'village_income_median' 5009.84994 -696.0171133333324]\n",
      " [200 'total_floor' 4984.18339 -721.6836633333323]\n",
      " [201 'building_area' 4936.506333333334 -769.3607199999988]\n",
      " [202 'doc_rate' 4886.513366666666 -819.3536866666664]\n",
      " [203 'village' 4852.180716666666 -853.6863366666666]\n",
      " [204 'VII_10000' 4688.84273 -1017.0243233333322]\n",
      " [205 'land_area' 4551.80975 -1154.0573033333321]\n",
      " [206 'VI_10000' 4376.823850000001 -1329.0432033333318]\n",
      " [207 'txn_floor' 4149.4685 -1556.3985533333325]\n",
      " [208 'txn_dt' 3962.7975066666663 -1743.0695466666662]\n",
      " [209 'building_complete_dt' 3433.7606266666667 -2272.106426666666]\n",
      " [210 'XIII_10000' 2914.651653333333 -2791.2153999999996]\n",
      " [211 'town' 2516.730063333333 -3189.1369899999995]]\n",
      "68\n",
      "['divorce_rate', 'I_250', 'XI_100', 'VI_index_500', 'IX_index_50', 'VI_500', 'XIV_10', 'XI_index_500', 'VI_index_1000', 'V_100', 'VII_10', 'X_100', 'XII_index_50', 'X_index_500', 'X_10', 'II_10', 'II_index_500', 'V_index_1000', 'XIII_10', 'XIV_index_50', 'VIII_index_500', 'IX_50', 'XI_index_1000', 'XI_10', 'II_index_1000', 'VII_index_500', 'X_index_1000', 'XIII_index_1000', 'XIV_index_500', 'VI_100', 'IX_index_500', 'I_index_1000', 'XIII_index_500', 'V_10', 'VII_index_50', 'I_500', 'IV_index_50', 'V_index_500', 'VI_index_50', 'XIII_index_5000', 'VI_50', 'III_index_1000', 'I_index_50', 'I_50', 'IV_50', 'III_index_50', 'VI_250', 'XI_index_50', 'VI_1000', 'XII_index_500', 'XIV_index_1000', 'XIII_index_50', 'XII_index_1000', 'IX_index_5000', 'XI_index_10000', 'VI_10', 'VII_index_1000', 'IV_index_5000', 'I_10', 'VIII_index_1000', 'XI_index_5000', 'I_index_500', 'II_index_50', 'IX_index_1000', 'I_100', 'II_50', 'N_500', 'N_5000']\n",
      "N feats (before): 215\n",
      "N feats (after): 147\n",
      "['building_per_land_area', 'IV_5000', 'XIII_500', 'N_50', 'II_MIN', 'encoded_latlon', 'II_5000', 'VIII_250', 'building_complete_dt', 'building_age', 'building_type', 'II_250', 'VIII_50', 'VIII_index_50', 'III_10000', 'XI_1000', 'X_250', 'VII_250', 'parking_way', 'txn_dt', 'VIII_500', 'XII_5000', 'XII_50', 'VIII_100', 'XIII_5000', 'II_500', 'lat', 'IV_1000', 'III_10', 'VII_100', 'VII_MIN', 'XIV_500', 'V_250', 'I_MIN', 'X_10000', 'N_1000', 'height_r', 'V_index_50', 'XIII_50', 'XIII_250', 'XII_10', 'building_area', 'XIV_5000', 'XIV_10000', 'X_1000', 'III_500', 'junior_rate', 'town_population', 'I_10000', 'IV_MIN', 'X_MIN', 'town', 'V_1000', 'IX_500', 'XII_500', 'XIV_50', 'IX_10', 'IX_100', 'XIII_100', 'VII_5000', 'XIII_index_10000', 'VII_500', 'XIII_MIN', 'death_rate', 'XIV_1000', 'XII_100', 'IV_100', 'IV_index_1000', 'parking_price', 'VII_10000', 'IV_10', 'born_rate', 'XII_10000', 'elementary_rate', 'lon', 'VII_50', 'I_1000', 'village_income_median', 'land_area', 'marriage_rate', 'IX_MIN', 'V_50', 'III_250', 'III_MIN', 'IX_5000', 'III_index_500', 'V_10000', 'building_use', 'IV_500', 'VIII_1000', 'XII_250', 'IX_1000', 'V_500', 'X_500', 'IV_10000', 'XIV_250', 'doc_rate', 'XII_MIN', 'II_100', 'town_area', 'II_1000', 'V_MIN', 'XIII_1000', 'VI_10000', 'XIV_MIN', 'VII_1000', 'highschool_rate', 'IV_250', 'III_100', 'master_rate', 'VI_5000', 'X_50', 'bachelor_rate', 'V_5000', 'VIII_MIN', 'II_10000', 'IX_250', 'XIV_100', 'VIII_10', 'txn_floor', 'IX_10000', 'XI_250', 'village', 'X_index_50', 'VI_MIN', 'building_material', 'XIII_10000', 'III_50', 'city', 'XI_10000', 'town_population_density', 'total_floor', 'X_5000', 'VIII_10000', 'XI_5000', 'III_1000', 'IV_index_500', 'I_5000', 'jobschool_rate', 'XI_50', 'XI_500', 'XI_MIN', 'III_5000', 'parking_area', 'VIII_5000', 'N_10000', 'XII_1000']\n"
     ]
    }
   ],
   "source": [
    "# PARS #\n",
    "N_feats_rm = 68\n",
    "# PARS #\n",
    "\n",
    "from vars_03 import score_base_per_area, shuffle_results_per_area\n",
    "\n",
    "feat_imp = pd.DataFrame({'feats': shuffle_results_per_area[:,0],\n",
    "                         'avg':shuffle_results_per_area[:,1]})\n",
    "feat_imp['diff'] = feat_imp['avg'] - score_base_per_area\n",
    "feat_imp = feat_imp.sort_values(by='diff', ascending=False)\n",
    "print(feat_imp.reset_index().values)\n",
    "\n",
    "feats_rm = list(feat_imp.iloc[:(N_feats_rm+1)]['feats'].values)\n",
    "feats_rm.remove('none')\n",
    "print(len(feats_rm))\n",
    "print(feats_rm)\n",
    "\n",
    "print('N feats (before):', len(cols_feats))\n",
    "cols_feats = list(set(cols_feats) - set(feats_rm))\n",
    "print('N feats (after):', len(cols_feats))\n",
    "print(cols_feats)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Params"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "# params\n",
    "# parameters from model 10: 24, 300, 0.5, 10, 0.1, 0.0\n",
    "# parameters from model 5: 24, 258, 0.4, 6, 0.04, 0.02\n",
    "params = {'task': 'train',\n",
    "          'boosting_type': 'gbdt',\n",
    "          'objective': 'mse',\n",
    "          'metric': 'mape',\n",
    "          'learning_rate': 0.0005, # 0.001\n",
    "          'max_depth': 22,\n",
    "          'num_leaves': 255,  # 300        # may reduce in dim-reduction exp\n",
    "          'feature_fraction': 0.45,\n",
    "          'min_data_in_leaf': 8,\n",
    "          'lambda_l1': 0.02,\n",
    "          'lambda_l2': 0.04,\n",
    "          'max_bin': 511,\n",
    "          'min_sum_hessian_in_leaf': 0.1,\n",
    "          'min_data_per_group': 50,\n",
    "          'seed': 5817,\n",
    "         }\n",
    "\n",
    "lgb_other_params = {'num_boost_round': 1000000,  # expected to stop 250000\n",
    "                    'verbose_eval': 2000,\n",
    "                    'early_stopping_rounds': 1000,}\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### kfold cross-predict"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Training until validation scores don't improve for 1000 rounds.\n",
      "[2000]\tvalid_0's mape: 0.0264522\n",
      "[4000]\tvalid_0's mape: 0.0157382\n",
      "[6000]\tvalid_0's mape: 0.0125693\n",
      "[8000]\tvalid_0's mape: 0.0114505\n",
      "[10000]\tvalid_0's mape: 0.0109067\n",
      "[12000]\tvalid_0's mape: 0.0105789\n",
      "[14000]\tvalid_0's mape: 0.0103528\n",
      "[16000]\tvalid_0's mape: 0.0101845\n",
      "[18000]\tvalid_0's mape: 0.0100527\n",
      "[20000]\tvalid_0's mape: 0.00994818\n",
      "[22000]\tvalid_0's mape: 0.00986226\n",
      "[24000]\tvalid_0's mape: 0.00978894\n",
      "[26000]\tvalid_0's mape: 0.00972512\n",
      "[28000]\tvalid_0's mape: 0.0096688\n",
      "[30000]\tvalid_0's mape: 0.0096205\n",
      "[32000]\tvalid_0's mape: 0.00957793\n",
      "[34000]\tvalid_0's mape: 0.00954015\n",
      "[36000]\tvalid_0's mape: 0.00950637\n",
      "[38000]\tvalid_0's mape: 0.00947602\n",
      "[40000]\tvalid_0's mape: 0.00944852\n",
      "[42000]\tvalid_0's mape: 0.00942375\n",
      "[44000]\tvalid_0's mape: 0.00940106\n",
      "[46000]\tvalid_0's mape: 0.00938068\n",
      "[48000]\tvalid_0's mape: 0.00936188\n",
      "[50000]\tvalid_0's mape: 0.0093441\n",
      "[52000]\tvalid_0's mape: 0.00932826\n",
      "[54000]\tvalid_0's mape: 0.00931357\n",
      "[56000]\tvalid_0's mape: 0.00930009\n",
      "[58000]\tvalid_0's mape: 0.00928757\n",
      "[60000]\tvalid_0's mape: 0.00927588\n",
      "[62000]\tvalid_0's mape: 0.00926471\n",
      "[64000]\tvalid_0's mape: 0.00925417\n",
      "[66000]\tvalid_0's mape: 0.00924423\n",
      "[68000]\tvalid_0's mape: 0.00923489\n",
      "[70000]\tvalid_0's mape: 0.00922618\n",
      "[72000]\tvalid_0's mape: 0.00921801\n",
      "[74000]\tvalid_0's mape: 0.00921003\n",
      "[76000]\tvalid_0's mape: 0.00920239\n",
      "[78000]\tvalid_0's mape: 0.00919507\n",
      "[80000]\tvalid_0's mape: 0.00918835\n",
      "[82000]\tvalid_0's mape: 0.00918222\n",
      "[84000]\tvalid_0's mape: 0.00917645\n",
      "[86000]\tvalid_0's mape: 0.00917096\n",
      "[88000]\tvalid_0's mape: 0.00916573\n",
      "[90000]\tvalid_0's mape: 0.00916083\n",
      "[92000]\tvalid_0's mape: 0.00915637\n",
      "[94000]\tvalid_0's mape: 0.00915215\n",
      "[96000]\tvalid_0's mape: 0.00914802\n",
      "[98000]\tvalid_0's mape: 0.00914387\n",
      "[100000]\tvalid_0's mape: 0.00913992\n",
      "[102000]\tvalid_0's mape: 0.00913623\n",
      "[104000]\tvalid_0's mape: 0.00913255\n",
      "[106000]\tvalid_0's mape: 0.00912912\n",
      "[108000]\tvalid_0's mape: 0.00912572\n",
      "[110000]\tvalid_0's mape: 0.00912258\n",
      "[112000]\tvalid_0's mape: 0.00911969\n",
      "[114000]\tvalid_0's mape: 0.00911683\n",
      "[116000]\tvalid_0's mape: 0.00911412\n",
      "[118000]\tvalid_0's mape: 0.00911157\n",
      "[120000]\tvalid_0's mape: 0.00910902\n",
      "[122000]\tvalid_0's mape: 0.00910652\n",
      "[124000]\tvalid_0's mape: 0.00910411\n",
      "[126000]\tvalid_0's mape: 0.00910176\n",
      "[128000]\tvalid_0's mape: 0.00909945\n",
      "[130000]\tvalid_0's mape: 0.00909716\n",
      "[132000]\tvalid_0's mape: 0.00909502\n",
      "[134000]\tvalid_0's mape: 0.00909281\n",
      "[136000]\tvalid_0's mape: 0.00909068\n",
      "[138000]\tvalid_0's mape: 0.00908876\n",
      "[140000]\tvalid_0's mape: 0.0090869\n",
      "[142000]\tvalid_0's mape: 0.00908508\n",
      "[144000]\tvalid_0's mape: 0.00908341\n",
      "[146000]\tvalid_0's mape: 0.00908176\n",
      "[148000]\tvalid_0's mape: 0.00908022\n",
      "[150000]\tvalid_0's mape: 0.00907854\n",
      "[152000]\tvalid_0's mape: 0.00907708\n",
      "[154000]\tvalid_0's mape: 0.00907561\n",
      "[156000]\tvalid_0's mape: 0.00907416\n",
      "[158000]\tvalid_0's mape: 0.00907276\n",
      "[160000]\tvalid_0's mape: 0.00907152\n",
      "[162000]\tvalid_0's mape: 0.00907025\n",
      "[164000]\tvalid_0's mape: 0.00906901\n",
      "[166000]\tvalid_0's mape: 0.00906781\n",
      "[168000]\tvalid_0's mape: 0.00906673\n",
      "[170000]\tvalid_0's mape: 0.00906569\n",
      "[172000]\tvalid_0's mape: 0.0090647\n",
      "[174000]\tvalid_0's mape: 0.00906382\n",
      "[176000]\tvalid_0's mape: 0.00906285\n",
      "[178000]\tvalid_0's mape: 0.00906214\n",
      "[180000]\tvalid_0's mape: 0.00906147\n",
      "[182000]\tvalid_0's mape: 0.00906076\n",
      "[184000]\tvalid_0's mape: 0.00906002\n",
      "[186000]\tvalid_0's mape: 0.0090593\n",
      "[188000]\tvalid_0's mape: 0.00905869\n",
      "[190000]\tvalid_0's mape: 0.00905801\n",
      "[192000]\tvalid_0's mape: 0.00905734\n",
      "[194000]\tvalid_0's mape: 0.00905664\n",
      "[196000]\tvalid_0's mape: 0.00905594\n",
      "[198000]\tvalid_0's mape: 0.00905535\n",
      "[200000]\tvalid_0's mape: 0.00905482\n",
      "[202000]\tvalid_0's mape: 0.00905427\n",
      "[204000]\tvalid_0's mape: 0.00905374\n",
      "[206000]\tvalid_0's mape: 0.00905326\n",
      "[208000]\tvalid_0's mape: 0.00905272\n",
      "[210000]\tvalid_0's mape: 0.00905218\n",
      "[212000]\tvalid_0's mape: 0.00905168\n",
      "[214000]\tvalid_0's mape: 0.0090512\n",
      "[216000]\tvalid_0's mape: 0.00905073\n",
      "[218000]\tvalid_0's mape: 0.00905026\n",
      "[220000]\tvalid_0's mape: 0.00904977\n",
      "[222000]\tvalid_0's mape: 0.0090493\n",
      "[224000]\tvalid_0's mape: 0.00904881\n",
      "[226000]\tvalid_0's mape: 0.00904839\n",
      "[228000]\tvalid_0's mape: 0.00904799\n",
      "[230000]\tvalid_0's mape: 0.0090476\n",
      "[232000]\tvalid_0's mape: 0.00904719\n",
      "[234000]\tvalid_0's mape: 0.00904677\n",
      "[236000]\tvalid_0's mape: 0.00904642\n",
      "[238000]\tvalid_0's mape: 0.0090461\n",
      "[240000]\tvalid_0's mape: 0.00904579\n",
      "[242000]\tvalid_0's mape: 0.00904542\n",
      "[244000]\tvalid_0's mape: 0.00904503\n",
      "[246000]\tvalid_0's mape: 0.00904468\n",
      "[248000]\tvalid_0's mape: 0.0090444\n",
      "[250000]\tvalid_0's mape: 0.00904407\n",
      "[252000]\tvalid_0's mape: 0.00904373\n",
      "[254000]\tvalid_0's mape: 0.00904338\n",
      "[256000]\tvalid_0's mape: 0.00904301\n",
      "[258000]\tvalid_0's mape: 0.00904268\n",
      "[260000]\tvalid_0's mape: 0.00904239\n",
      "[262000]\tvalid_0's mape: 0.00904206\n",
      "[264000]\tvalid_0's mape: 0.00904178\n",
      "[266000]\tvalid_0's mape: 0.00904152\n",
      "[268000]\tvalid_0's mape: 0.00904128\n",
      "[270000]\tvalid_0's mape: 0.00904107\n",
      "[272000]\tvalid_0's mape: 0.00904084\n",
      "[274000]\tvalid_0's mape: 0.00904058\n",
      "[276000]\tvalid_0's mape: 0.00904038\n",
      "[278000]\tvalid_0's mape: 0.00904015\n",
      "[280000]\tvalid_0's mape: 0.00903993\n",
      "[282000]\tvalid_0's mape: 0.00903965\n",
      "[284000]\tvalid_0's mape: 0.00903941\n",
      "[286000]\tvalid_0's mape: 0.00903917\n",
      "[288000]\tvalid_0's mape: 0.00903892\n",
      "[290000]\tvalid_0's mape: 0.00903868\n",
      "[292000]\tvalid_0's mape: 0.00903844\n",
      "[294000]\tvalid_0's mape: 0.0090382\n",
      "[296000]\tvalid_0's mape: 0.00903801\n",
      "[298000]\tvalid_0's mape: 0.00903782\n",
      "[300000]\tvalid_0's mape: 0.00903765\n",
      "[302000]\tvalid_0's mape: 0.00903747\n",
      "[304000]\tvalid_0's mape: 0.0090373\n",
      "[306000]\tvalid_0's mape: 0.00903712\n",
      "[308000]\tvalid_0's mape: 0.00903694\n",
      "[310000]\tvalid_0's mape: 0.00903677\n",
      "[312000]\tvalid_0's mape: 0.00903661\n",
      "[314000]\tvalid_0's mape: 0.00903646\n",
      "[316000]\tvalid_0's mape: 0.00903629\n",
      "[318000]\tvalid_0's mape: 0.00903614\n",
      "[320000]\tvalid_0's mape: 0.00903596\n",
      "[322000]\tvalid_0's mape: 0.0090358\n",
      "[324000]\tvalid_0's mape: 0.00903562\n",
      "[326000]\tvalid_0's mape: 0.00903544\n",
      "[328000]\tvalid_0's mape: 0.00903527\n",
      "[330000]\tvalid_0's mape: 0.00903509\n",
      "[332000]\tvalid_0's mape: 0.00903494\n",
      "[334000]\tvalid_0's mape: 0.00903482\n",
      "[336000]\tvalid_0's mape: 0.00903467\n",
      "[338000]\tvalid_0's mape: 0.00903451\n",
      "[340000]\tvalid_0's mape: 0.00903435\n",
      "[342000]\tvalid_0's mape: 0.00903425\n",
      "[344000]\tvalid_0's mape: 0.00903416\n",
      "[346000]\tvalid_0's mape: 0.00903408\n",
      "[348000]\tvalid_0's mape: 0.00903397\n",
      "[350000]\tvalid_0's mape: 0.00903387\n",
      "[352000]\tvalid_0's mape: 0.00903376\n",
      "[354000]\tvalid_0's mape: 0.00903365\n",
      "[356000]\tvalid_0's mape: 0.00903352\n",
      "[358000]\tvalid_0's mape: 0.00903339\n",
      "[360000]\tvalid_0's mape: 0.00903329\n",
      "[362000]\tvalid_0's mape: 0.00903319\n",
      "[364000]\tvalid_0's mape: 0.00903308\n",
      "[366000]\tvalid_0's mape: 0.00903297\n",
      "[368000]\tvalid_0's mape: 0.00903286\n",
      "[370000]\tvalid_0's mape: 0.00903276\n",
      "[372000]\tvalid_0's mape: 0.00903267\n",
      "[374000]\tvalid_0's mape: 0.00903258\n",
      "[376000]\tvalid_0's mape: 0.00903248\n",
      "[378000]\tvalid_0's mape: 0.0090324\n",
      "[380000]\tvalid_0's mape: 0.00903231\n",
      "[382000]\tvalid_0's mape: 0.00903223\n",
      "[384000]\tvalid_0's mape: 0.00903216\n",
      "[386000]\tvalid_0's mape: 0.00903208\n",
      "[388000]\tvalid_0's mape: 0.00903201\n",
      "[390000]\tvalid_0's mape: 0.00903194\n",
      "[392000]\tvalid_0's mape: 0.00903187\n",
      "[394000]\tvalid_0's mape: 0.00903179\n",
      "[396000]\tvalid_0's mape: 0.00903173\n",
      "[398000]\tvalid_0's mape: 0.00903168\n",
      "[400000]\tvalid_0's mape: 0.00903162\n",
      "[402000]\tvalid_0's mape: 0.00903154\n",
      "[404000]\tvalid_0's mape: 0.00903147\n",
      "[406000]\tvalid_0's mape: 0.0090314\n",
      "[408000]\tvalid_0's mape: 0.00903132\n",
      "[410000]\tvalid_0's mape: 0.00903126\n",
      "[412000]\tvalid_0's mape: 0.0090312\n",
      "[414000]\tvalid_0's mape: 0.00903113\n",
      "[416000]\tvalid_0's mape: 0.00903107\n",
      "[418000]\tvalid_0's mape: 0.00903102\n",
      "[420000]\tvalid_0's mape: 0.00903097\n",
      "[422000]\tvalid_0's mape: 0.00903091\n",
      "[424000]\tvalid_0's mape: 0.00903086\n",
      "[426000]\tvalid_0's mape: 0.0090308\n",
      "[428000]\tvalid_0's mape: 0.00903075\n",
      "[430000]\tvalid_0's mape: 0.00903069\n",
      "[432000]\tvalid_0's mape: 0.00903063\n",
      "[434000]\tvalid_0's mape: 0.00903057\n",
      "[436000]\tvalid_0's mape: 0.00903052\n",
      "[438000]\tvalid_0's mape: 0.00903047\n",
      "[440000]\tvalid_0's mape: 0.00903043\n",
      "[442000]\tvalid_0's mape: 0.00903038\n",
      "[444000]\tvalid_0's mape: 0.00903033\n",
      "[446000]\tvalid_0's mape: 0.00903029\n",
      "[448000]\tvalid_0's mape: 0.00903024\n",
      "[450000]\tvalid_0's mape: 0.00903021\n",
      "[452000]\tvalid_0's mape: 0.00903017\n",
      "[454000]\tvalid_0's mape: 0.00903014\n",
      "[456000]\tvalid_0's mape: 0.0090301\n",
      "[458000]\tvalid_0's mape: 0.00903006\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[460000]\tvalid_0's mape: 0.00903002\n",
      "[462000]\tvalid_0's mape: 0.00902998\n",
      "[464000]\tvalid_0's mape: 0.00902995\n",
      "[466000]\tvalid_0's mape: 0.00902991\n",
      "[468000]\tvalid_0's mape: 0.00902987\n",
      "[470000]\tvalid_0's mape: 0.00902983\n",
      "[472000]\tvalid_0's mape: 0.00902979\n",
      "[474000]\tvalid_0's mape: 0.00902976\n",
      "[476000]\tvalid_0's mape: 0.00902973\n",
      "[478000]\tvalid_0's mape: 0.00902969\n",
      "[480000]\tvalid_0's mape: 0.00902966\n",
      "[482000]\tvalid_0's mape: 0.00902963\n",
      "[484000]\tvalid_0's mape: 0.0090296\n",
      "[486000]\tvalid_0's mape: 0.00902957\n",
      "[488000]\tvalid_0's mape: 0.00902954\n",
      "[490000]\tvalid_0's mape: 0.0090295\n",
      "[492000]\tvalid_0's mape: 0.00902947\n",
      "[494000]\tvalid_0's mape: 0.00902945\n",
      "[496000]\tvalid_0's mape: 0.00902942\n",
      "[498000]\tvalid_0's mape: 0.00902939\n",
      "[500000]\tvalid_0's mape: 0.00902936\n",
      "[502000]\tvalid_0's mape: 0.00902933\n",
      "[504000]\tvalid_0's mape: 0.00902931\n",
      "[506000]\tvalid_0's mape: 0.00902928\n",
      "[508000]\tvalid_0's mape: 0.00902926\n",
      "[510000]\tvalid_0's mape: 0.00902923\n",
      "[512000]\tvalid_0's mape: 0.00902921\n",
      "[514000]\tvalid_0's mape: 0.00902919\n",
      "[516000]\tvalid_0's mape: 0.00902917\n",
      "[518000]\tvalid_0's mape: 0.00902915\n",
      "[520000]\tvalid_0's mape: 0.00902913\n",
      "[522000]\tvalid_0's mape: 0.0090291\n",
      "[524000]\tvalid_0's mape: 0.00902908\n",
      "[526000]\tvalid_0's mape: 0.00902905\n",
      "[528000]\tvalid_0's mape: 0.00902903\n",
      "[530000]\tvalid_0's mape: 0.00902901\n",
      "[532000]\tvalid_0's mape: 0.00902899\n",
      "[534000]\tvalid_0's mape: 0.00902896\n",
      "[536000]\tvalid_0's mape: 0.00902893\n",
      "[538000]\tvalid_0's mape: 0.00902891\n",
      "[540000]\tvalid_0's mape: 0.00902889\n",
      "[542000]\tvalid_0's mape: 0.00902887\n",
      "[544000]\tvalid_0's mape: 0.00902886\n",
      "[546000]\tvalid_0's mape: 0.00902885\n",
      "[548000]\tvalid_0's mape: 0.00902883\n",
      "[550000]\tvalid_0's mape: 0.00902882\n",
      "[552000]\tvalid_0's mape: 0.00902881\n",
      "[554000]\tvalid_0's mape: 0.0090288\n",
      "[556000]\tvalid_0's mape: 0.00902879\n",
      "[558000]\tvalid_0's mape: 0.00902878\n",
      "Early stopping, best iteration is:\n",
      "[557623]\tvalid_0's mape: 0.00902878\n",
      "(Fold 0) score, mse, mae, mape: 5841.87655, 0.03545, 0.12014, 0.00903.\n",
      "Training until validation scores don't improve for 1000 rounds.\n",
      "[2000]\tvalid_0's mape: 0.0266166\n",
      "[4000]\tvalid_0's mape: 0.0159195\n",
      "[6000]\tvalid_0's mape: 0.0127354\n",
      "[8000]\tvalid_0's mape: 0.0116028\n",
      "[10000]\tvalid_0's mape: 0.0110582\n",
      "[12000]\tvalid_0's mape: 0.0107351\n",
      "[14000]\tvalid_0's mape: 0.0105138\n",
      "[16000]\tvalid_0's mape: 0.0103522\n",
      "[18000]\tvalid_0's mape: 0.0102257\n",
      "[20000]\tvalid_0's mape: 0.0101215\n",
      "[22000]\tvalid_0's mape: 0.0100303\n",
      "[24000]\tvalid_0's mape: 0.00995515\n",
      "[26000]\tvalid_0's mape: 0.00988901\n",
      "[28000]\tvalid_0's mape: 0.00983191\n",
      "[30000]\tvalid_0's mape: 0.00978369\n",
      "[32000]\tvalid_0's mape: 0.00974098\n",
      "[34000]\tvalid_0's mape: 0.00970323\n",
      "[36000]\tvalid_0's mape: 0.00966941\n",
      "[38000]\tvalid_0's mape: 0.00963831\n",
      "[40000]\tvalid_0's mape: 0.00960972\n",
      "[42000]\tvalid_0's mape: 0.0095844\n",
      "[44000]\tvalid_0's mape: 0.00956075\n",
      "[46000]\tvalid_0's mape: 0.00953916\n",
      "[48000]\tvalid_0's mape: 0.00951892\n",
      "[50000]\tvalid_0's mape: 0.00949962\n",
      "[52000]\tvalid_0's mape: 0.00948208\n",
      "[54000]\tvalid_0's mape: 0.0094661\n",
      "[56000]\tvalid_0's mape: 0.00945175\n",
      "[58000]\tvalid_0's mape: 0.00943822\n",
      "[60000]\tvalid_0's mape: 0.00942571\n",
      "[62000]\tvalid_0's mape: 0.00941401\n",
      "[64000]\tvalid_0's mape: 0.00940331\n",
      "[66000]\tvalid_0's mape: 0.00939285\n",
      "[68000]\tvalid_0's mape: 0.00938309\n",
      "[70000]\tvalid_0's mape: 0.0093741\n",
      "[72000]\tvalid_0's mape: 0.00936572\n",
      "[74000]\tvalid_0's mape: 0.00935745\n",
      "[76000]\tvalid_0's mape: 0.00934966\n",
      "[78000]\tvalid_0's mape: 0.00934232\n",
      "[80000]\tvalid_0's mape: 0.00933542\n",
      "[82000]\tvalid_0's mape: 0.00932916\n",
      "[84000]\tvalid_0's mape: 0.00932289\n",
      "[86000]\tvalid_0's mape: 0.00931684\n",
      "[88000]\tvalid_0's mape: 0.00931124\n",
      "[90000]\tvalid_0's mape: 0.00930556\n",
      "[92000]\tvalid_0's mape: 0.00930006\n",
      "[94000]\tvalid_0's mape: 0.00929502\n",
      "[96000]\tvalid_0's mape: 0.00928997\n",
      "[98000]\tvalid_0's mape: 0.00928509\n",
      "[100000]\tvalid_0's mape: 0.00928066\n",
      "[102000]\tvalid_0's mape: 0.00927639\n",
      "[104000]\tvalid_0's mape: 0.00927224\n",
      "[106000]\tvalid_0's mape: 0.00926818\n",
      "[108000]\tvalid_0's mape: 0.00926437\n",
      "[110000]\tvalid_0's mape: 0.00926081\n",
      "[112000]\tvalid_0's mape: 0.00925742\n",
      "[114000]\tvalid_0's mape: 0.00925387\n",
      "[116000]\tvalid_0's mape: 0.00925032\n",
      "[118000]\tvalid_0's mape: 0.00924703\n",
      "[120000]\tvalid_0's mape: 0.0092442\n",
      "[122000]\tvalid_0's mape: 0.00924156\n",
      "[124000]\tvalid_0's mape: 0.00923891\n",
      "[126000]\tvalid_0's mape: 0.00923634\n",
      "[128000]\tvalid_0's mape: 0.00923382\n",
      "[130000]\tvalid_0's mape: 0.00923162\n",
      "[132000]\tvalid_0's mape: 0.00922932\n",
      "[134000]\tvalid_0's mape: 0.00922715\n",
      "[136000]\tvalid_0's mape: 0.00922491\n",
      "[138000]\tvalid_0's mape: 0.00922279\n",
      "[140000]\tvalid_0's mape: 0.00922066\n",
      "[142000]\tvalid_0's mape: 0.00921853\n",
      "[144000]\tvalid_0's mape: 0.00921664\n",
      "[146000]\tvalid_0's mape: 0.00921466\n",
      "[148000]\tvalid_0's mape: 0.00921278\n",
      "[150000]\tvalid_0's mape: 0.00921107\n",
      "[152000]\tvalid_0's mape: 0.00920941\n",
      "[154000]\tvalid_0's mape: 0.00920782\n",
      "[156000]\tvalid_0's mape: 0.00920618\n",
      "[158000]\tvalid_0's mape: 0.00920467\n",
      "[160000]\tvalid_0's mape: 0.00920329\n",
      "[162000]\tvalid_0's mape: 0.00920191\n",
      "[164000]\tvalid_0's mape: 0.00920048\n",
      "[166000]\tvalid_0's mape: 0.00919912\n",
      "[168000]\tvalid_0's mape: 0.00919794\n",
      "[170000]\tvalid_0's mape: 0.00919679\n",
      "[172000]\tvalid_0's mape: 0.00919561\n",
      "[174000]\tvalid_0's mape: 0.0091945\n",
      "[176000]\tvalid_0's mape: 0.00919344\n",
      "[178000]\tvalid_0's mape: 0.00919241\n",
      "[180000]\tvalid_0's mape: 0.00919121\n",
      "[182000]\tvalid_0's mape: 0.00919018\n",
      "[184000]\tvalid_0's mape: 0.00918914\n",
      "[186000]\tvalid_0's mape: 0.00918805\n",
      "[188000]\tvalid_0's mape: 0.00918711\n",
      "[190000]\tvalid_0's mape: 0.00918622\n",
      "[192000]\tvalid_0's mape: 0.00918527\n",
      "[194000]\tvalid_0's mape: 0.00918453\n",
      "[196000]\tvalid_0's mape: 0.00918385\n",
      "[198000]\tvalid_0's mape: 0.00918312\n",
      "[200000]\tvalid_0's mape: 0.00918245\n",
      "[202000]\tvalid_0's mape: 0.0091817\n",
      "[204000]\tvalid_0's mape: 0.0091809\n",
      "[206000]\tvalid_0's mape: 0.00918014\n",
      "[208000]\tvalid_0's mape: 0.00917931\n",
      "[210000]\tvalid_0's mape: 0.00917861\n",
      "[212000]\tvalid_0's mape: 0.00917793\n",
      "[214000]\tvalid_0's mape: 0.00917732\n",
      "[216000]\tvalid_0's mape: 0.00917673\n",
      "[218000]\tvalid_0's mape: 0.00917619\n",
      "[220000]\tvalid_0's mape: 0.00917561\n",
      "[222000]\tvalid_0's mape: 0.00917505\n",
      "[224000]\tvalid_0's mape: 0.00917448\n",
      "[226000]\tvalid_0's mape: 0.00917385\n",
      "[228000]\tvalid_0's mape: 0.00917329\n",
      "[230000]\tvalid_0's mape: 0.00917274\n",
      "[232000]\tvalid_0's mape: 0.00917221\n",
      "[234000]\tvalid_0's mape: 0.00917171\n",
      "[236000]\tvalid_0's mape: 0.00917122\n",
      "[238000]\tvalid_0's mape: 0.00917071\n",
      "[240000]\tvalid_0's mape: 0.00917025\n",
      "[242000]\tvalid_0's mape: 0.0091698\n",
      "[244000]\tvalid_0's mape: 0.00916936\n",
      "[246000]\tvalid_0's mape: 0.00916896\n",
      "[248000]\tvalid_0's mape: 0.00916855\n",
      "[250000]\tvalid_0's mape: 0.0091681\n",
      "[252000]\tvalid_0's mape: 0.00916776\n",
      "[254000]\tvalid_0's mape: 0.00916742\n",
      "[256000]\tvalid_0's mape: 0.00916713\n",
      "[258000]\tvalid_0's mape: 0.00916678\n",
      "[260000]\tvalid_0's mape: 0.00916646\n",
      "[262000]\tvalid_0's mape: 0.00916609\n",
      "[264000]\tvalid_0's mape: 0.00916576\n",
      "[266000]\tvalid_0's mape: 0.00916542\n",
      "[268000]\tvalid_0's mape: 0.00916507\n",
      "[270000]\tvalid_0's mape: 0.00916474\n",
      "[272000]\tvalid_0's mape: 0.00916444\n",
      "[274000]\tvalid_0's mape: 0.00916415\n",
      "[276000]\tvalid_0's mape: 0.00916387\n",
      "[278000]\tvalid_0's mape: 0.00916357\n",
      "[280000]\tvalid_0's mape: 0.00916334\n",
      "[282000]\tvalid_0's mape: 0.00916308\n",
      "[284000]\tvalid_0's mape: 0.00916279\n",
      "[286000]\tvalid_0's mape: 0.00916254\n",
      "[288000]\tvalid_0's mape: 0.00916231\n",
      "[290000]\tvalid_0's mape: 0.0091621\n",
      "[292000]\tvalid_0's mape: 0.00916193\n",
      "[294000]\tvalid_0's mape: 0.00916169\n",
      "[296000]\tvalid_0's mape: 0.00916149\n",
      "[298000]\tvalid_0's mape: 0.00916125\n",
      "[300000]\tvalid_0's mape: 0.00916103\n",
      "[302000]\tvalid_0's mape: 0.00916082\n",
      "[304000]\tvalid_0's mape: 0.00916061\n",
      "[306000]\tvalid_0's mape: 0.0091604\n",
      "[308000]\tvalid_0's mape: 0.0091602\n",
      "[310000]\tvalid_0's mape: 0.00916002\n",
      "[312000]\tvalid_0's mape: 0.00915982\n",
      "[314000]\tvalid_0's mape: 0.00915961\n",
      "[316000]\tvalid_0's mape: 0.00915942\n",
      "[318000]\tvalid_0's mape: 0.00915923\n",
      "[320000]\tvalid_0's mape: 0.00915904\n",
      "[322000]\tvalid_0's mape: 0.00915885\n",
      "[324000]\tvalid_0's mape: 0.00915868\n",
      "[326000]\tvalid_0's mape: 0.00915851\n",
      "[328000]\tvalid_0's mape: 0.00915836\n",
      "[330000]\tvalid_0's mape: 0.00915822\n",
      "[332000]\tvalid_0's mape: 0.00915808\n",
      "[334000]\tvalid_0's mape: 0.00915794\n",
      "[336000]\tvalid_0's mape: 0.00915783\n",
      "[338000]\tvalid_0's mape: 0.00915771\n",
      "[340000]\tvalid_0's mape: 0.0091576\n",
      "[342000]\tvalid_0's mape: 0.00915748\n",
      "[344000]\tvalid_0's mape: 0.00915737\n",
      "[346000]\tvalid_0's mape: 0.00915726\n",
      "[348000]\tvalid_0's mape: 0.00915714\n",
      "[350000]\tvalid_0's mape: 0.009157\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[352000]\tvalid_0's mape: 0.00915683\n",
      "[354000]\tvalid_0's mape: 0.00915668\n",
      "[356000]\tvalid_0's mape: 0.00915654\n",
      "[358000]\tvalid_0's mape: 0.00915643\n",
      "[360000]\tvalid_0's mape: 0.00915632\n",
      "[362000]\tvalid_0's mape: 0.00915621\n",
      "[364000]\tvalid_0's mape: 0.00915609\n",
      "[366000]\tvalid_0's mape: 0.00915598\n",
      "[368000]\tvalid_0's mape: 0.00915587\n",
      "[370000]\tvalid_0's mape: 0.00915578\n",
      "[372000]\tvalid_0's mape: 0.00915568\n",
      "[374000]\tvalid_0's mape: 0.00915558\n",
      "[376000]\tvalid_0's mape: 0.00915548\n",
      "[378000]\tvalid_0's mape: 0.00915538\n",
      "[380000]\tvalid_0's mape: 0.00915527\n",
      "[382000]\tvalid_0's mape: 0.00915517\n",
      "[384000]\tvalid_0's mape: 0.00915507\n",
      "[386000]\tvalid_0's mape: 0.00915498\n",
      "[388000]\tvalid_0's mape: 0.00915489\n",
      "[390000]\tvalid_0's mape: 0.0091548\n",
      "[392000]\tvalid_0's mape: 0.00915471\n",
      "[394000]\tvalid_0's mape: 0.00915462\n",
      "[396000]\tvalid_0's mape: 0.00915452\n",
      "[398000]\tvalid_0's mape: 0.00915443\n",
      "[400000]\tvalid_0's mape: 0.00915435\n",
      "[402000]\tvalid_0's mape: 0.00915427\n",
      "[404000]\tvalid_0's mape: 0.00915418\n",
      "[406000]\tvalid_0's mape: 0.00915411\n",
      "[408000]\tvalid_0's mape: 0.00915404\n",
      "[410000]\tvalid_0's mape: 0.00915396\n",
      "[412000]\tvalid_0's mape: 0.00915389\n",
      "[414000]\tvalid_0's mape: 0.00915382\n",
      "[416000]\tvalid_0's mape: 0.00915375\n",
      "[418000]\tvalid_0's mape: 0.00915368\n",
      "[420000]\tvalid_0's mape: 0.00915361\n",
      "[422000]\tvalid_0's mape: 0.00915354\n",
      "[424000]\tvalid_0's mape: 0.00915347\n",
      "[426000]\tvalid_0's mape: 0.0091534\n",
      "[428000]\tvalid_0's mape: 0.00915334\n",
      "[430000]\tvalid_0's mape: 0.00915327\n",
      "[432000]\tvalid_0's mape: 0.00915321\n",
      "[434000]\tvalid_0's mape: 0.00915313\n",
      "[436000]\tvalid_0's mape: 0.00915306\n",
      "[438000]\tvalid_0's mape: 0.009153\n",
      "[440000]\tvalid_0's mape: 0.00915294\n",
      "[442000]\tvalid_0's mape: 0.00915288\n",
      "[444000]\tvalid_0's mape: 0.00915283\n",
      "[446000]\tvalid_0's mape: 0.00915277\n",
      "[448000]\tvalid_0's mape: 0.00915271\n",
      "[450000]\tvalid_0's mape: 0.00915266\n",
      "[452000]\tvalid_0's mape: 0.0091526\n",
      "[454000]\tvalid_0's mape: 0.00915254\n",
      "[456000]\tvalid_0's mape: 0.00915249\n",
      "[458000]\tvalid_0's mape: 0.00915244\n",
      "[460000]\tvalid_0's mape: 0.00915239\n",
      "[462000]\tvalid_0's mape: 0.00915235\n",
      "[464000]\tvalid_0's mape: 0.00915231\n",
      "[466000]\tvalid_0's mape: 0.00915226\n",
      "[468000]\tvalid_0's mape: 0.00915222\n",
      "[470000]\tvalid_0's mape: 0.00915218\n",
      "[472000]\tvalid_0's mape: 0.00915215\n",
      "[474000]\tvalid_0's mape: 0.00915211\n",
      "[476000]\tvalid_0's mape: 0.00915206\n",
      "[478000]\tvalid_0's mape: 0.00915202\n",
      "[480000]\tvalid_0's mape: 0.00915198\n",
      "[482000]\tvalid_0's mape: 0.00915194\n",
      "[484000]\tvalid_0's mape: 0.0091519\n",
      "[486000]\tvalid_0's mape: 0.00915187\n",
      "[488000]\tvalid_0's mape: 0.00915183\n",
      "[490000]\tvalid_0's mape: 0.0091518\n",
      "[492000]\tvalid_0's mape: 0.00915176\n",
      "[494000]\tvalid_0's mape: 0.00915173\n",
      "[496000]\tvalid_0's mape: 0.00915169\n",
      "[498000]\tvalid_0's mape: 0.00915165\n",
      "[500000]\tvalid_0's mape: 0.00915162\n",
      "[502000]\tvalid_0's mape: 0.00915158\n",
      "[504000]\tvalid_0's mape: 0.00915155\n",
      "[506000]\tvalid_0's mape: 0.0091515\n",
      "[508000]\tvalid_0's mape: 0.00915148\n",
      "[510000]\tvalid_0's mape: 0.00915144\n",
      "[512000]\tvalid_0's mape: 0.00915141\n",
      "[514000]\tvalid_0's mape: 0.00915137\n",
      "[516000]\tvalid_0's mape: 0.00915134\n",
      "[518000]\tvalid_0's mape: 0.00915131\n",
      "[520000]\tvalid_0's mape: 0.00915128\n",
      "[522000]\tvalid_0's mape: 0.00915125\n",
      "[524000]\tvalid_0's mape: 0.00915123\n",
      "[526000]\tvalid_0's mape: 0.0091512\n",
      "[528000]\tvalid_0's mape: 0.00915118\n",
      "[530000]\tvalid_0's mape: 0.00915115\n",
      "[532000]\tvalid_0's mape: 0.00915112\n",
      "[534000]\tvalid_0's mape: 0.0091511\n",
      "[536000]\tvalid_0's mape: 0.00915108\n",
      "[538000]\tvalid_0's mape: 0.00915105\n",
      "[540000]\tvalid_0's mape: 0.00915103\n",
      "[542000]\tvalid_0's mape: 0.00915101\n",
      "[544000]\tvalid_0's mape: 0.00915099\n",
      "[546000]\tvalid_0's mape: 0.00915097\n",
      "[548000]\tvalid_0's mape: 0.00915096\n",
      "Early stopping, best iteration is:\n",
      "[547652]\tvalid_0's mape: 0.00915096\n",
      "(Fold 1) score, mse, mae, mape: 5912.87394, 0.03844, 0.12188, 0.00915.\n",
      "Training until validation scores don't improve for 1000 rounds.\n",
      "[2000]\tvalid_0's mape: 0.0262728\n",
      "[4000]\tvalid_0's mape: 0.0156445\n",
      "[6000]\tvalid_0's mape: 0.0125189\n",
      "[8000]\tvalid_0's mape: 0.0114361\n",
      "[10000]\tvalid_0's mape: 0.0109191\n",
      "[12000]\tvalid_0's mape: 0.0106153\n",
      "[14000]\tvalid_0's mape: 0.0104087\n",
      "[16000]\tvalid_0's mape: 0.0102539\n",
      "[18000]\tvalid_0's mape: 0.0101322\n",
      "[20000]\tvalid_0's mape: 0.0100347\n",
      "[22000]\tvalid_0's mape: 0.00995303\n",
      "[24000]\tvalid_0's mape: 0.00988456\n",
      "[26000]\tvalid_0's mape: 0.00982277\n",
      "[28000]\tvalid_0's mape: 0.00977031\n",
      "[30000]\tvalid_0's mape: 0.00972524\n",
      "[32000]\tvalid_0's mape: 0.00968626\n",
      "[34000]\tvalid_0's mape: 0.00965198\n",
      "[36000]\tvalid_0's mape: 0.00962025\n",
      "[38000]\tvalid_0's mape: 0.0095912\n",
      "[40000]\tvalid_0's mape: 0.00956505\n",
      "[42000]\tvalid_0's mape: 0.0095412\n",
      "[44000]\tvalid_0's mape: 0.00951981\n",
      "[46000]\tvalid_0's mape: 0.00949913\n",
      "[48000]\tvalid_0's mape: 0.00947982\n",
      "[50000]\tvalid_0's mape: 0.00946213\n",
      "[52000]\tvalid_0's mape: 0.0094455\n",
      "[54000]\tvalid_0's mape: 0.00943013\n",
      "[56000]\tvalid_0's mape: 0.00941581\n",
      "[58000]\tvalid_0's mape: 0.00940241\n",
      "[60000]\tvalid_0's mape: 0.00938995\n",
      "[62000]\tvalid_0's mape: 0.009378\n",
      "[64000]\tvalid_0's mape: 0.00936679\n",
      "[66000]\tvalid_0's mape: 0.00935616\n",
      "[68000]\tvalid_0's mape: 0.00934594\n",
      "[70000]\tvalid_0's mape: 0.00933595\n",
      "[72000]\tvalid_0's mape: 0.00932666\n",
      "[74000]\tvalid_0's mape: 0.00931783\n",
      "[76000]\tvalid_0's mape: 0.00930964\n",
      "[78000]\tvalid_0's mape: 0.00930171\n",
      "[80000]\tvalid_0's mape: 0.00929459\n",
      "[82000]\tvalid_0's mape: 0.00928769\n",
      "[84000]\tvalid_0's mape: 0.00928116\n",
      "[86000]\tvalid_0's mape: 0.00927476\n",
      "[88000]\tvalid_0's mape: 0.00926885\n",
      "[90000]\tvalid_0's mape: 0.00926316\n",
      "[92000]\tvalid_0's mape: 0.00925782\n",
      "[94000]\tvalid_0's mape: 0.00925275\n",
      "[96000]\tvalid_0's mape: 0.00924815\n",
      "[98000]\tvalid_0's mape: 0.00924358\n",
      "[100000]\tvalid_0's mape: 0.00923914\n",
      "[102000]\tvalid_0's mape: 0.00923497\n",
      "[104000]\tvalid_0's mape: 0.00923073\n",
      "[106000]\tvalid_0's mape: 0.00922684\n",
      "[108000]\tvalid_0's mape: 0.00922316\n",
      "[110000]\tvalid_0's mape: 0.0092196\n",
      "[112000]\tvalid_0's mape: 0.00921606\n",
      "[114000]\tvalid_0's mape: 0.00921276\n",
      "[116000]\tvalid_0's mape: 0.00920945\n",
      "[118000]\tvalid_0's mape: 0.00920627\n",
      "[120000]\tvalid_0's mape: 0.00920325\n",
      "[122000]\tvalid_0's mape: 0.0092004\n",
      "[124000]\tvalid_0's mape: 0.00919756\n",
      "[126000]\tvalid_0's mape: 0.00919478\n",
      "[128000]\tvalid_0's mape: 0.00919211\n",
      "[130000]\tvalid_0's mape: 0.00918965\n",
      "[136000]\tvalid_0's mape: 0.00918308\n",
      "[138000]\tvalid_0's mape: 0.00918113\n",
      "[140000]\tvalid_0's mape: 0.00917909\n",
      "[142000]\tvalid_0's mape: 0.00917704\n",
      "[144000]\tvalid_0's mape: 0.0091751\n",
      "[146000]\tvalid_0's mape: 0.00917314\n",
      "[148000]\tvalid_0's mape: 0.00917129\n",
      "[150000]\tvalid_0's mape: 0.00916962\n",
      "[152000]\tvalid_0's mape: 0.00916796\n",
      "[154000]\tvalid_0's mape: 0.00916636\n",
      "[156000]\tvalid_0's mape: 0.00916481\n",
      "[158000]\tvalid_0's mape: 0.00916337\n",
      "[160000]\tvalid_0's mape: 0.009162\n",
      "[162000]\tvalid_0's mape: 0.00916059\n",
      "[164000]\tvalid_0's mape: 0.00915931\n",
      "[166000]\tvalid_0's mape: 0.00915791\n",
      "[168000]\tvalid_0's mape: 0.00915646\n",
      "[170000]\tvalid_0's mape: 0.0091551\n",
      "[172000]\tvalid_0's mape: 0.00915386\n",
      "[174000]\tvalid_0's mape: 0.00915277\n",
      "[176000]\tvalid_0's mape: 0.0091518\n",
      "[178000]\tvalid_0's mape: 0.0091508\n",
      "[180000]\tvalid_0's mape: 0.00914982\n",
      "[182000]\tvalid_0's mape: 0.00914888\n",
      "[184000]\tvalid_0's mape: 0.00914796\n",
      "[186000]\tvalid_0's mape: 0.00914717\n",
      "[188000]\tvalid_0's mape: 0.00914632\n",
      "[190000]\tvalid_0's mape: 0.00914545\n",
      "[192000]\tvalid_0's mape: 0.00914455\n",
      "[194000]\tvalid_0's mape: 0.00914373\n",
      "[196000]\tvalid_0's mape: 0.00914301\n",
      "[198000]\tvalid_0's mape: 0.0091423\n",
      "[200000]\tvalid_0's mape: 0.00914164\n",
      "[202000]\tvalid_0's mape: 0.00914088\n",
      "[204000]\tvalid_0's mape: 0.00914013\n",
      "[206000]\tvalid_0's mape: 0.00913941\n",
      "[208000]\tvalid_0's mape: 0.00913869\n",
      "[210000]\tvalid_0's mape: 0.00913796\n",
      "[212000]\tvalid_0's mape: 0.00913729\n",
      "[214000]\tvalid_0's mape: 0.00913663\n",
      "[216000]\tvalid_0's mape: 0.00913606\n",
      "[218000]\tvalid_0's mape: 0.0091355\n",
      "[220000]\tvalid_0's mape: 0.00913488\n",
      "[222000]\tvalid_0's mape: 0.00913433\n",
      "[224000]\tvalid_0's mape: 0.00913382\n",
      "[226000]\tvalid_0's mape: 0.00913325\n",
      "[228000]\tvalid_0's mape: 0.00913273\n",
      "[230000]\tvalid_0's mape: 0.00913219\n",
      "[232000]\tvalid_0's mape: 0.0091317\n",
      "[234000]\tvalid_0's mape: 0.00913121\n",
      "[236000]\tvalid_0's mape: 0.00913071\n",
      "[238000]\tvalid_0's mape: 0.00913021\n",
      "[240000]\tvalid_0's mape: 0.00912969\n",
      "[242000]\tvalid_0's mape: 0.00912921\n",
      "[244000]\tvalid_0's mape: 0.00912878\n",
      "[246000]\tvalid_0's mape: 0.00912841\n",
      "[248000]\tvalid_0's mape: 0.00912806\n",
      "[250000]\tvalid_0's mape: 0.00912775\n",
      "[252000]\tvalid_0's mape: 0.0091274\n",
      "[254000]\tvalid_0's mape: 0.00912709\n",
      "[256000]\tvalid_0's mape: 0.00912679\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[258000]\tvalid_0's mape: 0.00912642\n",
      "[260000]\tvalid_0's mape: 0.00912613\n",
      "[262000]\tvalid_0's mape: 0.00912583\n",
      "[264000]\tvalid_0's mape: 0.00912553\n",
      "[266000]\tvalid_0's mape: 0.00912523\n",
      "[268000]\tvalid_0's mape: 0.00912497\n",
      "[270000]\tvalid_0's mape: 0.00912479\n",
      "[272000]\tvalid_0's mape: 0.00912454\n",
      "[274000]\tvalid_0's mape: 0.00912426\n",
      "[276000]\tvalid_0's mape: 0.00912404\n",
      "[278000]\tvalid_0's mape: 0.00912389\n",
      "[280000]\tvalid_0's mape: 0.00912367\n",
      "[282000]\tvalid_0's mape: 0.00912343\n",
      "[284000]\tvalid_0's mape: 0.00912325\n",
      "[286000]\tvalid_0's mape: 0.00912304\n",
      "[288000]\tvalid_0's mape: 0.00912283\n",
      "[290000]\tvalid_0's mape: 0.00912261\n",
      "[292000]\tvalid_0's mape: 0.00912242\n",
      "[294000]\tvalid_0's mape: 0.00912222\n",
      "[296000]\tvalid_0's mape: 0.00912203\n",
      "[298000]\tvalid_0's mape: 0.00912184\n",
      "[300000]\tvalid_0's mape: 0.00912167\n",
      "[302000]\tvalid_0's mape: 0.00912147\n",
      "[304000]\tvalid_0's mape: 0.00912131\n",
      "[306000]\tvalid_0's mape: 0.00912114\n",
      "[308000]\tvalid_0's mape: 0.009121\n",
      "[310000]\tvalid_0's mape: 0.00912084\n",
      "[312000]\tvalid_0's mape: 0.00912066\n",
      "[314000]\tvalid_0's mape: 0.00912048\n",
      "[316000]\tvalid_0's mape: 0.00912032\n",
      "[318000]\tvalid_0's mape: 0.00912015\n",
      "[320000]\tvalid_0's mape: 0.00912001\n",
      "[322000]\tvalid_0's mape: 0.00911986\n",
      "[324000]\tvalid_0's mape: 0.0091197\n",
      "[326000]\tvalid_0's mape: 0.00911957\n",
      "[328000]\tvalid_0's mape: 0.00911946\n",
      "[330000]\tvalid_0's mape: 0.00911932\n",
      "[332000]\tvalid_0's mape: 0.00911918\n",
      "[334000]\tvalid_0's mape: 0.00911905\n",
      "[336000]\tvalid_0's mape: 0.00911891\n",
      "[338000]\tvalid_0's mape: 0.00911878\n",
      "[340000]\tvalid_0's mape: 0.00911865\n",
      "[342000]\tvalid_0's mape: 0.00911856\n",
      "[344000]\tvalid_0's mape: 0.00911846\n",
      "[346000]\tvalid_0's mape: 0.00911834\n",
      "[348000]\tvalid_0's mape: 0.00911823\n",
      "[350000]\tvalid_0's mape: 0.00911814\n",
      "[352000]\tvalid_0's mape: 0.00911804\n",
      "[354000]\tvalid_0's mape: 0.00911791\n",
      "[356000]\tvalid_0's mape: 0.0091178\n",
      "[358000]\tvalid_0's mape: 0.00911768\n",
      "[360000]\tvalid_0's mape: 0.00911756\n",
      "[362000]\tvalid_0's mape: 0.00911747\n",
      "[364000]\tvalid_0's mape: 0.00911736\n",
      "[366000]\tvalid_0's mape: 0.00911725\n",
      "[368000]\tvalid_0's mape: 0.00911716\n",
      "[370000]\tvalid_0's mape: 0.00911708\n",
      "[372000]\tvalid_0's mape: 0.00911699\n",
      "[374000]\tvalid_0's mape: 0.0091169\n",
      "[376000]\tvalid_0's mape: 0.00911681\n",
      "[378000]\tvalid_0's mape: 0.00911674\n",
      "[380000]\tvalid_0's mape: 0.00911667\n",
      "[382000]\tvalid_0's mape: 0.0091166\n",
      "[384000]\tvalid_0's mape: 0.00911652\n",
      "[386000]\tvalid_0's mape: 0.00911643\n",
      "[388000]\tvalid_0's mape: 0.00911635\n",
      "[390000]\tvalid_0's mape: 0.00911629\n",
      "[392000]\tvalid_0's mape: 0.00911623\n",
      "[394000]\tvalid_0's mape: 0.00911616\n",
      "[396000]\tvalid_0's mape: 0.00911609\n",
      "[398000]\tvalid_0's mape: 0.00911603\n",
      "[400000]\tvalid_0's mape: 0.00911596\n",
      "[402000]\tvalid_0's mape: 0.00911589\n",
      "[404000]\tvalid_0's mape: 0.00911581\n",
      "[406000]\tvalid_0's mape: 0.00911574\n",
      "[408000]\tvalid_0's mape: 0.00911568\n",
      "[410000]\tvalid_0's mape: 0.00911561\n",
      "[412000]\tvalid_0's mape: 0.00911552\n",
      "[414000]\tvalid_0's mape: 0.00911547\n",
      "[416000]\tvalid_0's mape: 0.00911541\n",
      "[418000]\tvalid_0's mape: 0.00911535\n",
      "[420000]\tvalid_0's mape: 0.00911527\n",
      "[422000]\tvalid_0's mape: 0.00911521\n",
      "[424000]\tvalid_0's mape: 0.00911515\n",
      "[426000]\tvalid_0's mape: 0.00911509\n",
      "[428000]\tvalid_0's mape: 0.00911503\n",
      "[430000]\tvalid_0's mape: 0.00911498\n",
      "[432000]\tvalid_0's mape: 0.00911493\n",
      "[434000]\tvalid_0's mape: 0.00911488\n",
      "[436000]\tvalid_0's mape: 0.00911484\n",
      "[438000]\tvalid_0's mape: 0.00911479\n",
      "[440000]\tvalid_0's mape: 0.00911474\n",
      "[442000]\tvalid_0's mape: 0.00911469\n",
      "[444000]\tvalid_0's mape: 0.00911465\n",
      "[446000]\tvalid_0's mape: 0.0091146\n",
      "[448000]\tvalid_0's mape: 0.00911455\n",
      "[450000]\tvalid_0's mape: 0.0091145\n",
      "[452000]\tvalid_0's mape: 0.00911446\n",
      "[454000]\tvalid_0's mape: 0.00911441\n",
      "[456000]\tvalid_0's mape: 0.00911437\n",
      "[458000]\tvalid_0's mape: 0.00911434\n",
      "[460000]\tvalid_0's mape: 0.00911429\n",
      "[462000]\tvalid_0's mape: 0.00911426\n",
      "[464000]\tvalid_0's mape: 0.00911423\n",
      "[466000]\tvalid_0's mape: 0.00911419\n",
      "[468000]\tvalid_0's mape: 0.00911415\n",
      "[470000]\tvalid_0's mape: 0.00911411\n",
      "[472000]\tvalid_0's mape: 0.00911407\n",
      "[474000]\tvalid_0's mape: 0.00911403\n",
      "[476000]\tvalid_0's mape: 0.00911399\n",
      "[478000]\tvalid_0's mape: 0.00911396\n",
      "[480000]\tvalid_0's mape: 0.00911392\n",
      "[482000]\tvalid_0's mape: 0.00911389\n",
      "[484000]\tvalid_0's mape: 0.00911386\n",
      "[486000]\tvalid_0's mape: 0.00911383\n",
      "[488000]\tvalid_0's mape: 0.0091138\n",
      "[490000]\tvalid_0's mape: 0.00911376\n",
      "[492000]\tvalid_0's mape: 0.00911373\n",
      "[494000]\tvalid_0's mape: 0.00911371\n",
      "[496000]\tvalid_0's mape: 0.00911368\n",
      "[498000]\tvalid_0's mape: 0.00911365\n",
      "[500000]\tvalid_0's mape: 0.00911362\n",
      "[502000]\tvalid_0's mape: 0.00911359\n",
      "[504000]\tvalid_0's mape: 0.00911356\n",
      "[506000]\tvalid_0's mape: 0.00911353\n",
      "[508000]\tvalid_0's mape: 0.0091135\n",
      "[510000]\tvalid_0's mape: 0.00911347\n",
      "[512000]\tvalid_0's mape: 0.00911344\n",
      "[514000]\tvalid_0's mape: 0.00911342\n",
      "[516000]\tvalid_0's mape: 0.0091134\n",
      "[518000]\tvalid_0's mape: 0.00911337\n",
      "[520000]\tvalid_0's mape: 0.00911335\n",
      "[522000]\tvalid_0's mape: 0.00911332\n",
      "[524000]\tvalid_0's mape: 0.0091133\n",
      "[526000]\tvalid_0's mape: 0.00911326\n",
      "[528000]\tvalid_0's mape: 0.00911324\n",
      "[530000]\tvalid_0's mape: 0.00911321\n",
      "[532000]\tvalid_0's mape: 0.00911319\n",
      "[534000]\tvalid_0's mape: 0.00911317\n",
      "[536000]\tvalid_0's mape: 0.00911314\n",
      "[538000]\tvalid_0's mape: 0.00911312\n",
      "[540000]\tvalid_0's mape: 0.0091131\n",
      "[542000]\tvalid_0's mape: 0.00911308\n",
      "[544000]\tvalid_0's mape: 0.00911305\n",
      "[546000]\tvalid_0's mape: 0.00911303\n",
      "Early stopping, best iteration is:\n",
      "[546509]\tvalid_0's mape: 0.00911303\n",
      "(Fold 2) score, mse, mae, mape: 5906.87220, 0.03799, 0.12117, 0.00911.\n",
      "Training until validation scores don't improve for 1000 rounds.\n",
      "[2000]\tvalid_0's mape: 0.026468\n",
      "[4000]\tvalid_0's mape: 0.0157053\n",
      "[6000]\tvalid_0's mape: 0.0126117\n",
      "[8000]\tvalid_0's mape: 0.0115565\n",
      "[10000]\tvalid_0's mape: 0.0110587\n",
      "[12000]\tvalid_0's mape: 0.0107619\n",
      "[14000]\tvalid_0's mape: 0.0105563\n",
      "[16000]\tvalid_0's mape: 0.0104007\n",
      "[18000]\tvalid_0's mape: 0.0102796\n",
      "[20000]\tvalid_0's mape: 0.0101782\n",
      "[22000]\tvalid_0's mape: 0.0100907\n",
      "[24000]\tvalid_0's mape: 0.010016\n",
      "[26000]\tvalid_0's mape: 0.00994837\n",
      "[28000]\tvalid_0's mape: 0.0098918\n",
      "[30000]\tvalid_0's mape: 0.00984219\n",
      "[32000]\tvalid_0's mape: 0.00979818\n",
      "[34000]\tvalid_0's mape: 0.00975923\n",
      "[36000]\tvalid_0's mape: 0.0097243\n",
      "[38000]\tvalid_0's mape: 0.00969267\n",
      "[40000]\tvalid_0's mape: 0.00966346\n",
      "[42000]\tvalid_0's mape: 0.00963664\n",
      "[44000]\tvalid_0's mape: 0.00961264\n",
      "[46000]\tvalid_0's mape: 0.00959051\n",
      "[48000]\tvalid_0's mape: 0.00956965\n",
      "[50000]\tvalid_0's mape: 0.0095508\n",
      "[52000]\tvalid_0's mape: 0.00953258\n",
      "[54000]\tvalid_0's mape: 0.00951568\n",
      "[56000]\tvalid_0's mape: 0.00949978\n",
      "[58000]\tvalid_0's mape: 0.00948476\n",
      "[60000]\tvalid_0's mape: 0.00947091\n",
      "[62000]\tvalid_0's mape: 0.00945822\n",
      "[64000]\tvalid_0's mape: 0.00944597\n",
      "[66000]\tvalid_0's mape: 0.00943418\n",
      "[68000]\tvalid_0's mape: 0.00942313\n",
      "[70000]\tvalid_0's mape: 0.00941231\n",
      "[72000]\tvalid_0's mape: 0.00940244\n",
      "[74000]\tvalid_0's mape: 0.00939299\n",
      "[76000]\tvalid_0's mape: 0.0093837\n",
      "[78000]\tvalid_0's mape: 0.00937559\n",
      "[80000]\tvalid_0's mape: 0.00936769\n",
      "[82000]\tvalid_0's mape: 0.0093604\n",
      "[84000]\tvalid_0's mape: 0.00935285\n",
      "[86000]\tvalid_0's mape: 0.00934616\n",
      "[88000]\tvalid_0's mape: 0.00933976\n",
      "[90000]\tvalid_0's mape: 0.00933356\n",
      "[92000]\tvalid_0's mape: 0.00932777\n",
      "[94000]\tvalid_0's mape: 0.00932223\n",
      "[96000]\tvalid_0's mape: 0.00931676\n",
      "[98000]\tvalid_0's mape: 0.00931159\n",
      "[100000]\tvalid_0's mape: 0.00930657\n",
      "[102000]\tvalid_0's mape: 0.00930201\n",
      "[104000]\tvalid_0's mape: 0.00929744\n",
      "[106000]\tvalid_0's mape: 0.00929301\n",
      "[108000]\tvalid_0's mape: 0.00928877\n",
      "[110000]\tvalid_0's mape: 0.00928476\n",
      "[112000]\tvalid_0's mape: 0.00928086\n",
      "[114000]\tvalid_0's mape: 0.00927731\n",
      "[116000]\tvalid_0's mape: 0.00927393\n",
      "[118000]\tvalid_0's mape: 0.00927066\n",
      "[120000]\tvalid_0's mape: 0.00926748\n",
      "[122000]\tvalid_0's mape: 0.00926437\n",
      "[124000]\tvalid_0's mape: 0.00926129\n",
      "[126000]\tvalid_0's mape: 0.00925824\n",
      "[128000]\tvalid_0's mape: 0.00925552\n",
      "[130000]\tvalid_0's mape: 0.00925298\n",
      "[132000]\tvalid_0's mape: 0.00925044\n",
      "[134000]\tvalid_0's mape: 0.00924783\n",
      "[136000]\tvalid_0's mape: 0.00924551\n",
      "[138000]\tvalid_0's mape: 0.00924316\n",
      "[140000]\tvalid_0's mape: 0.00924093\n",
      "[142000]\tvalid_0's mape: 0.00923867\n",
      "[144000]\tvalid_0's mape: 0.00923656\n",
      "[146000]\tvalid_0's mape: 0.0092346\n",
      "[148000]\tvalid_0's mape: 0.00923278\n",
      "[150000]\tvalid_0's mape: 0.00923101\n",
      "[152000]\tvalid_0's mape: 0.00922931\n",
      "[154000]\tvalid_0's mape: 0.00922765\n",
      "[156000]\tvalid_0's mape: 0.00922609\n",
      "[158000]\tvalid_0's mape: 0.0092245\n",
      "[160000]\tvalid_0's mape: 0.00922307\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[162000]\tvalid_0's mape: 0.00922162\n",
      "[164000]\tvalid_0's mape: 0.00922036\n",
      "[166000]\tvalid_0's mape: 0.00921903\n",
      "[168000]\tvalid_0's mape: 0.00921775\n",
      "[170000]\tvalid_0's mape: 0.00921649\n",
      "[172000]\tvalid_0's mape: 0.00921521\n",
      "[174000]\tvalid_0's mape: 0.00921404\n",
      "[176000]\tvalid_0's mape: 0.00921291\n",
      "[178000]\tvalid_0's mape: 0.00921177\n",
      "[180000]\tvalid_0's mape: 0.00921075\n",
      "[182000]\tvalid_0's mape: 0.00920972\n",
      "[184000]\tvalid_0's mape: 0.00920867\n",
      "[186000]\tvalid_0's mape: 0.00920774\n",
      "[188000]\tvalid_0's mape: 0.00920675\n",
      "[190000]\tvalid_0's mape: 0.00920575\n",
      "[192000]\tvalid_0's mape: 0.00920488\n",
      "[194000]\tvalid_0's mape: 0.0092041\n",
      "[196000]\tvalid_0's mape: 0.00920337\n",
      "[198000]\tvalid_0's mape: 0.00920258\n",
      "[200000]\tvalid_0's mape: 0.00920192\n",
      "[202000]\tvalid_0's mape: 0.00920118\n",
      "[204000]\tvalid_0's mape: 0.00920045\n",
      "[206000]\tvalid_0's mape: 0.00919973\n",
      "[208000]\tvalid_0's mape: 0.00919903\n",
      "[210000]\tvalid_0's mape: 0.00919833\n",
      "[212000]\tvalid_0's mape: 0.00919768\n",
      "[214000]\tvalid_0's mape: 0.00919703\n",
      "[216000]\tvalid_0's mape: 0.0091964\n",
      "[218000]\tvalid_0's mape: 0.00919579\n",
      "[220000]\tvalid_0's mape: 0.00919521\n",
      "[222000]\tvalid_0's mape: 0.00919461\n",
      "[224000]\tvalid_0's mape: 0.00919395\n",
      "[226000]\tvalid_0's mape: 0.00919333\n",
      "[228000]\tvalid_0's mape: 0.00919275\n",
      "[230000]\tvalid_0's mape: 0.00919218\n",
      "[232000]\tvalid_0's mape: 0.00919162\n",
      "[234000]\tvalid_0's mape: 0.0091911\n",
      "[236000]\tvalid_0's mape: 0.0091906\n",
      "[238000]\tvalid_0's mape: 0.00919007\n",
      "[240000]\tvalid_0's mape: 0.00918958\n",
      "[242000]\tvalid_0's mape: 0.00918907\n",
      "[244000]\tvalid_0's mape: 0.00918863\n",
      "[246000]\tvalid_0's mape: 0.00918819\n",
      "[248000]\tvalid_0's mape: 0.00918775\n",
      "[250000]\tvalid_0's mape: 0.00918733\n",
      "[252000]\tvalid_0's mape: 0.00918691\n",
      "[254000]\tvalid_0's mape: 0.00918649\n",
      "[256000]\tvalid_0's mape: 0.00918609\n",
      "[258000]\tvalid_0's mape: 0.00918566\n",
      "[260000]\tvalid_0's mape: 0.00918524\n",
      "[262000]\tvalid_0's mape: 0.00918488\n",
      "[264000]\tvalid_0's mape: 0.00918451\n",
      "[266000]\tvalid_0's mape: 0.00918417\n",
      "[268000]\tvalid_0's mape: 0.00918388\n",
      "[270000]\tvalid_0's mape: 0.00918364\n",
      "[272000]\tvalid_0's mape: 0.0091834\n",
      "[274000]\tvalid_0's mape: 0.0091832\n",
      "[276000]\tvalid_0's mape: 0.00918294\n",
      "[278000]\tvalid_0's mape: 0.00918271\n",
      "[280000]\tvalid_0's mape: 0.00918248\n",
      "[282000]\tvalid_0's mape: 0.00918222\n",
      "[284000]\tvalid_0's mape: 0.00918197\n",
      "[286000]\tvalid_0's mape: 0.00918171\n",
      "[288000]\tvalid_0's mape: 0.00918148\n",
      "[290000]\tvalid_0's mape: 0.00918123\n",
      "[292000]\tvalid_0's mape: 0.00918106\n",
      "[294000]\tvalid_0's mape: 0.00918087\n",
      "[296000]\tvalid_0's mape: 0.00918069\n",
      "[298000]\tvalid_0's mape: 0.00918047\n",
      "[300000]\tvalid_0's mape: 0.00918024\n",
      "[302000]\tvalid_0's mape: 0.00918008\n",
      "[304000]\tvalid_0's mape: 0.00917991\n",
      "[306000]\tvalid_0's mape: 0.00917973\n",
      "[308000]\tvalid_0's mape: 0.00917954\n",
      "[310000]\tvalid_0's mape: 0.00917936\n",
      "[312000]\tvalid_0's mape: 0.0091792\n",
      "[314000]\tvalid_0's mape: 0.00917906\n",
      "[316000]\tvalid_0's mape: 0.00917892\n",
      "[318000]\tvalid_0's mape: 0.00917878\n",
      "[320000]\tvalid_0's mape: 0.00917862\n",
      "[322000]\tvalid_0's mape: 0.00917848\n",
      "[324000]\tvalid_0's mape: 0.00917831\n",
      "[326000]\tvalid_0's mape: 0.00917816\n",
      "[328000]\tvalid_0's mape: 0.009178\n",
      "[330000]\tvalid_0's mape: 0.00917785\n",
      "[332000]\tvalid_0's mape: 0.00917772\n",
      "[334000]\tvalid_0's mape: 0.0091776\n",
      "[336000]\tvalid_0's mape: 0.00917748\n",
      "[338000]\tvalid_0's mape: 0.00917734\n",
      "[340000]\tvalid_0's mape: 0.00917721\n",
      "[342000]\tvalid_0's mape: 0.00917707\n",
      "[344000]\tvalid_0's mape: 0.00917695\n",
      "[346000]\tvalid_0's mape: 0.00917681\n",
      "[348000]\tvalid_0's mape: 0.00917671\n",
      "[350000]\tvalid_0's mape: 0.00917659\n",
      "[352000]\tvalid_0's mape: 0.00917646\n",
      "[354000]\tvalid_0's mape: 0.00917634\n",
      "[356000]\tvalid_0's mape: 0.00917622\n",
      "[358000]\tvalid_0's mape: 0.00917609\n",
      "[360000]\tvalid_0's mape: 0.00917598\n",
      "[362000]\tvalid_0's mape: 0.00917587\n",
      "[364000]\tvalid_0's mape: 0.00917577\n",
      "[366000]\tvalid_0's mape: 0.00917565\n",
      "[368000]\tvalid_0's mape: 0.00917556\n",
      "[370000]\tvalid_0's mape: 0.00917548\n",
      "[372000]\tvalid_0's mape: 0.00917539\n",
      "[374000]\tvalid_0's mape: 0.0091753\n",
      "[376000]\tvalid_0's mape: 0.00917519\n",
      "[378000]\tvalid_0's mape: 0.0091751\n",
      "[380000]\tvalid_0's mape: 0.00917501\n",
      "[382000]\tvalid_0's mape: 0.00917493\n",
      "[384000]\tvalid_0's mape: 0.00917485\n",
      "[386000]\tvalid_0's mape: 0.00917477\n",
      "[388000]\tvalid_0's mape: 0.00917468\n",
      "[390000]\tvalid_0's mape: 0.0091746\n",
      "[392000]\tvalid_0's mape: 0.00917452\n",
      "[394000]\tvalid_0's mape: 0.00917445\n",
      "[396000]\tvalid_0's mape: 0.00917439\n",
      "[398000]\tvalid_0's mape: 0.00917431\n",
      "[400000]\tvalid_0's mape: 0.00917424\n",
      "[402000]\tvalid_0's mape: 0.00917418\n",
      "[404000]\tvalid_0's mape: 0.00917412\n",
      "[406000]\tvalid_0's mape: 0.00917405\n",
      "[408000]\tvalid_0's mape: 0.00917399\n",
      "[410000]\tvalid_0's mape: 0.00917392\n",
      "[412000]\tvalid_0's mape: 0.00917385\n",
      "[414000]\tvalid_0's mape: 0.00917378\n",
      "[416000]\tvalid_0's mape: 0.00917373\n",
      "[418000]\tvalid_0's mape: 0.00917368\n",
      "[420000]\tvalid_0's mape: 0.00917362\n",
      "[422000]\tvalid_0's mape: 0.00917356\n",
      "[424000]\tvalid_0's mape: 0.00917351\n",
      "[426000]\tvalid_0's mape: 0.00917346\n",
      "[428000]\tvalid_0's mape: 0.00917342\n",
      "[430000]\tvalid_0's mape: 0.00917338\n",
      "[432000]\tvalid_0's mape: 0.00917335\n",
      "[434000]\tvalid_0's mape: 0.00917332\n",
      "[436000]\tvalid_0's mape: 0.00917328\n",
      "[438000]\tvalid_0's mape: 0.00917325\n",
      "[440000]\tvalid_0's mape: 0.00917321\n",
      "[442000]\tvalid_0's mape: 0.00917317\n",
      "[444000]\tvalid_0's mape: 0.00917312\n",
      "[446000]\tvalid_0's mape: 0.00917308\n",
      "[448000]\tvalid_0's mape: 0.00917303\n",
      "[450000]\tvalid_0's mape: 0.009173\n",
      "[452000]\tvalid_0's mape: 0.00917296\n",
      "[454000]\tvalid_0's mape: 0.00917293\n",
      "[456000]\tvalid_0's mape: 0.00917289\n",
      "[458000]\tvalid_0's mape: 0.00917285\n",
      "[460000]\tvalid_0's mape: 0.00917281\n",
      "[462000]\tvalid_0's mape: 0.00917278\n",
      "[464000]\tvalid_0's mape: 0.00917274\n",
      "[466000]\tvalid_0's mape: 0.0091727\n",
      "[468000]\tvalid_0's mape: 0.00917266\n",
      "[470000]\tvalid_0's mape: 0.00917263\n",
      "[472000]\tvalid_0's mape: 0.00917259\n",
      "[474000]\tvalid_0's mape: 0.00917256\n",
      "[476000]\tvalid_0's mape: 0.00917252\n",
      "[478000]\tvalid_0's mape: 0.00917248\n",
      "[480000]\tvalid_0's mape: 0.00917245\n",
      "[482000]\tvalid_0's mape: 0.00917242\n",
      "[484000]\tvalid_0's mape: 0.00917239\n",
      "[486000]\tvalid_0's mape: 0.00917235\n",
      "[488000]\tvalid_0's mape: 0.00917232\n",
      "[490000]\tvalid_0's mape: 0.00917229\n",
      "[492000]\tvalid_0's mape: 0.00917226\n",
      "[494000]\tvalid_0's mape: 0.00917223\n",
      "[496000]\tvalid_0's mape: 0.0091722\n",
      "[498000]\tvalid_0's mape: 0.00917216\n",
      "[500000]\tvalid_0's mape: 0.00917213\n",
      "[502000]\tvalid_0's mape: 0.0091721\n",
      "[504000]\tvalid_0's mape: 0.00917207\n",
      "[506000]\tvalid_0's mape: 0.00917205\n",
      "[508000]\tvalid_0's mape: 0.00917202\n",
      "[516000]\tvalid_0's mape: 0.00917191\n",
      "[518000]\tvalid_0's mape: 0.00917189\n",
      "[520000]\tvalid_0's mape: 0.00917186\n",
      "[522000]\tvalid_0's mape: 0.00917183\n",
      "[524000]\tvalid_0's mape: 0.0091718\n",
      "[526000]\tvalid_0's mape: 0.00917178\n",
      "[528000]\tvalid_0's mape: 0.00917175\n",
      "[530000]\tvalid_0's mape: 0.00917173\n",
      "[532000]\tvalid_0's mape: 0.00917171\n",
      "[534000]\tvalid_0's mape: 0.00917169\n",
      "[536000]\tvalid_0's mape: 0.00917167\n",
      "[538000]\tvalid_0's mape: 0.00917165\n",
      "[540000]\tvalid_0's mape: 0.00917163\n",
      "[542000]\tvalid_0's mape: 0.00917162\n",
      "[544000]\tvalid_0's mape: 0.0091716\n",
      "[546000]\tvalid_0's mape: 0.00917158\n",
      "[548000]\tvalid_0's mape: 0.00917157\n",
      "[550000]\tvalid_0's mape: 0.00917155\n",
      "[552000]\tvalid_0's mape: 0.00917153\n",
      "[554000]\tvalid_0's mape: 0.00917152\n",
      "[556000]\tvalid_0's mape: 0.00917151\n",
      "[558000]\tvalid_0's mape: 0.00917149\n",
      "Early stopping, best iteration is:\n",
      "[558090]\tvalid_0's mape: 0.00917149\n",
      "(Fold 3) score, mse, mae, mape: 5882.87449, 0.03724, 0.12212, 0.00917.\n",
      "Training until validation scores don't improve for 1000 rounds.\n",
      "[2000]\tvalid_0's mape: 0.0267561\n",
      "[4000]\tvalid_0's mape: 0.0159445\n",
      "[6000]\tvalid_0's mape: 0.0126907\n",
      "[8000]\tvalid_0's mape: 0.0115257\n",
      "[10000]\tvalid_0's mape: 0.0109771\n",
      "[12000]\tvalid_0's mape: 0.0106568\n",
      "[14000]\tvalid_0's mape: 0.010438\n",
      "[16000]\tvalid_0's mape: 0.0102734\n",
      "[18000]\tvalid_0's mape: 0.0101468\n",
      "[20000]\tvalid_0's mape: 0.0100462\n",
      "[22000]\tvalid_0's mape: 0.0099621\n",
      "[24000]\tvalid_0's mape: 0.00988911\n",
      "[26000]\tvalid_0's mape: 0.00982417\n",
      "[28000]\tvalid_0's mape: 0.00976885\n",
      "[30000]\tvalid_0's mape: 0.00972114\n",
      "[32000]\tvalid_0's mape: 0.00967932\n",
      "[34000]\tvalid_0's mape: 0.0096413\n",
      "[36000]\tvalid_0's mape: 0.009608\n",
      "[38000]\tvalid_0's mape: 0.009578\n",
      "[40000]\tvalid_0's mape: 0.009551\n",
      "[42000]\tvalid_0's mape: 0.00952683\n",
      "[44000]\tvalid_0's mape: 0.00950425\n",
      "[46000]\tvalid_0's mape: 0.00948276\n",
      "[48000]\tvalid_0's mape: 0.00946312\n",
      "[50000]\tvalid_0's mape: 0.00944513\n",
      "[52000]\tvalid_0's mape: 0.00942836\n",
      "[54000]\tvalid_0's mape: 0.00941263\n",
      "[56000]\tvalid_0's mape: 0.00939762\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[58000]\tvalid_0's mape: 0.00938391\n",
      "[60000]\tvalid_0's mape: 0.00937085\n",
      "[62000]\tvalid_0's mape: 0.00935908\n",
      "[64000]\tvalid_0's mape: 0.00934766\n",
      "[66000]\tvalid_0's mape: 0.00933691\n",
      "[68000]\tvalid_0's mape: 0.00932702\n",
      "[70000]\tvalid_0's mape: 0.00931729\n",
      "[72000]\tvalid_0's mape: 0.00930881\n",
      "[74000]\tvalid_0's mape: 0.00930058\n",
      "[76000]\tvalid_0's mape: 0.00929233\n",
      "[78000]\tvalid_0's mape: 0.00928478\n",
      "[80000]\tvalid_0's mape: 0.00927788\n",
      "[82000]\tvalid_0's mape: 0.00927113\n",
      "[84000]\tvalid_0's mape: 0.00926504\n",
      "[86000]\tvalid_0's mape: 0.00925903\n",
      "[88000]\tvalid_0's mape: 0.00925323\n",
      "[90000]\tvalid_0's mape: 0.00924777\n",
      "[92000]\tvalid_0's mape: 0.00924264\n",
      "[94000]\tvalid_0's mape: 0.00923801\n",
      "[96000]\tvalid_0's mape: 0.00923341\n",
      "[98000]\tvalid_0's mape: 0.00922906\n",
      "[100000]\tvalid_0's mape: 0.00922492\n",
      "[102000]\tvalid_0's mape: 0.0092208\n",
      "[104000]\tvalid_0's mape: 0.0092171\n",
      "[106000]\tvalid_0's mape: 0.00921347\n",
      "[108000]\tvalid_0's mape: 0.00921\n",
      "[110000]\tvalid_0's mape: 0.00920682\n",
      "[112000]\tvalid_0's mape: 0.00920356\n",
      "[114000]\tvalid_0's mape: 0.00920032\n",
      "[116000]\tvalid_0's mape: 0.00919728\n",
      "[118000]\tvalid_0's mape: 0.00919437\n",
      "[120000]\tvalid_0's mape: 0.00919138\n",
      "[122000]\tvalid_0's mape: 0.0091886\n",
      "[124000]\tvalid_0's mape: 0.00918602\n",
      "[126000]\tvalid_0's mape: 0.0091837\n",
      "[128000]\tvalid_0's mape: 0.00918144\n",
      "[130000]\tvalid_0's mape: 0.00917928\n",
      "[132000]\tvalid_0's mape: 0.00917704\n",
      "[134000]\tvalid_0's mape: 0.00917469\n",
      "[136000]\tvalid_0's mape: 0.00917277\n",
      "[138000]\tvalid_0's mape: 0.00917106\n",
      "[140000]\tvalid_0's mape: 0.0091693\n",
      "[142000]\tvalid_0's mape: 0.00916743\n",
      "[144000]\tvalid_0's mape: 0.00916566\n",
      "[146000]\tvalid_0's mape: 0.0091639\n",
      "[148000]\tvalid_0's mape: 0.00916232\n",
      "[150000]\tvalid_0's mape: 0.00916074\n",
      "[152000]\tvalid_0's mape: 0.00915924\n",
      "[154000]\tvalid_0's mape: 0.00915782\n",
      "[156000]\tvalid_0's mape: 0.00915649\n",
      "[158000]\tvalid_0's mape: 0.00915528\n",
      "[160000]\tvalid_0's mape: 0.00915413\n",
      "[162000]\tvalid_0's mape: 0.00915299\n",
      "[164000]\tvalid_0's mape: 0.00915184\n",
      "[166000]\tvalid_0's mape: 0.00915073\n",
      "[168000]\tvalid_0's mape: 0.00914967\n",
      "[170000]\tvalid_0's mape: 0.00914848\n",
      "[172000]\tvalid_0's mape: 0.00914718\n",
      "[174000]\tvalid_0's mape: 0.00914589\n",
      "[176000]\tvalid_0's mape: 0.00914473\n",
      "[178000]\tvalid_0's mape: 0.00914368\n",
      "[180000]\tvalid_0's mape: 0.00914271\n",
      "[182000]\tvalid_0's mape: 0.0091418\n",
      "[184000]\tvalid_0's mape: 0.00914079\n",
      "[186000]\tvalid_0's mape: 0.00913996\n",
      "[188000]\tvalid_0's mape: 0.00913922\n",
      "[190000]\tvalid_0's mape: 0.00913851\n",
      "[192000]\tvalid_0's mape: 0.00913789\n",
      "[194000]\tvalid_0's mape: 0.00913718\n",
      "[196000]\tvalid_0's mape: 0.00913648\n",
      "[198000]\tvalid_0's mape: 0.00913584\n",
      "[200000]\tvalid_0's mape: 0.00913522\n",
      "[202000]\tvalid_0's mape: 0.00913459\n",
      "[204000]\tvalid_0's mape: 0.00913393\n",
      "[206000]\tvalid_0's mape: 0.00913335\n",
      "[208000]\tvalid_0's mape: 0.0091328\n",
      "[210000]\tvalid_0's mape: 0.00913226\n",
      "[212000]\tvalid_0's mape: 0.00913173\n",
      "[214000]\tvalid_0's mape: 0.0091312\n",
      "[216000]\tvalid_0's mape: 0.00913063\n",
      "[218000]\tvalid_0's mape: 0.00913015\n",
      "[220000]\tvalid_0's mape: 0.00912963\n",
      "[222000]\tvalid_0's mape: 0.00912914\n",
      "[224000]\tvalid_0's mape: 0.00912871\n",
      "[226000]\tvalid_0's mape: 0.00912824\n",
      "[228000]\tvalid_0's mape: 0.0091278\n",
      "[230000]\tvalid_0's mape: 0.00912736\n",
      "[232000]\tvalid_0's mape: 0.00912695\n",
      "[234000]\tvalid_0's mape: 0.00912646\n",
      "[236000]\tvalid_0's mape: 0.00912594\n",
      "[238000]\tvalid_0's mape: 0.00912555\n",
      "[240000]\tvalid_0's mape: 0.00912515\n",
      "[242000]\tvalid_0's mape: 0.00912483\n",
      "[244000]\tvalid_0's mape: 0.00912448\n",
      "[246000]\tvalid_0's mape: 0.00912417\n",
      "[248000]\tvalid_0's mape: 0.00912382\n",
      "[250000]\tvalid_0's mape: 0.00912351\n",
      "[252000]\tvalid_0's mape: 0.0091232\n",
      "[254000]\tvalid_0's mape: 0.0091229\n",
      "[256000]\tvalid_0's mape: 0.00912263\n",
      "[258000]\tvalid_0's mape: 0.00912235\n",
      "[260000]\tvalid_0's mape: 0.00912209\n",
      "[262000]\tvalid_0's mape: 0.00912182\n",
      "[264000]\tvalid_0's mape: 0.0091216\n",
      "[266000]\tvalid_0's mape: 0.00912136\n",
      "[268000]\tvalid_0's mape: 0.00912112\n",
      "[270000]\tvalid_0's mape: 0.00912087\n",
      "[272000]\tvalid_0's mape: 0.00912059\n",
      "[274000]\tvalid_0's mape: 0.00912036\n",
      "[276000]\tvalid_0's mape: 0.00912011\n",
      "[278000]\tvalid_0's mape: 0.00911985\n",
      "[280000]\tvalid_0's mape: 0.00911961\n",
      "[282000]\tvalid_0's mape: 0.00911942\n",
      "[284000]\tvalid_0's mape: 0.00911924\n",
      "[286000]\tvalid_0's mape: 0.00911907\n",
      "[288000]\tvalid_0's mape: 0.00911892\n",
      "[290000]\tvalid_0's mape: 0.00911874\n",
      "[292000]\tvalid_0's mape: 0.00911854\n",
      "[294000]\tvalid_0's mape: 0.00911837\n",
      "[296000]\tvalid_0's mape: 0.00911816\n",
      "[298000]\tvalid_0's mape: 0.00911795\n",
      "[300000]\tvalid_0's mape: 0.00911775\n",
      "[302000]\tvalid_0's mape: 0.00911755\n",
      "[304000]\tvalid_0's mape: 0.0091174\n",
      "[306000]\tvalid_0's mape: 0.00911724\n",
      "[308000]\tvalid_0's mape: 0.00911714\n",
      "[310000]\tvalid_0's mape: 0.00911701\n",
      "[312000]\tvalid_0's mape: 0.00911682\n",
      "[314000]\tvalid_0's mape: 0.00911667\n",
      "[316000]\tvalid_0's mape: 0.00911651\n",
      "[318000]\tvalid_0's mape: 0.00911634\n",
      "[320000]\tvalid_0's mape: 0.00911619\n",
      "[322000]\tvalid_0's mape: 0.00911605\n",
      "[324000]\tvalid_0's mape: 0.0091159\n",
      "[326000]\tvalid_0's mape: 0.00911574\n",
      "[328000]\tvalid_0's mape: 0.00911561\n",
      "[330000]\tvalid_0's mape: 0.00911548\n",
      "[332000]\tvalid_0's mape: 0.00911534\n",
      "[334000]\tvalid_0's mape: 0.0091152\n",
      "[336000]\tvalid_0's mape: 0.00911509\n",
      "[338000]\tvalid_0's mape: 0.00911498\n",
      "[340000]\tvalid_0's mape: 0.00911487\n",
      "[342000]\tvalid_0's mape: 0.00911477\n",
      "[344000]\tvalid_0's mape: 0.00911468\n",
      "[346000]\tvalid_0's mape: 0.00911459\n",
      "[348000]\tvalid_0's mape: 0.00911451\n",
      "[350000]\tvalid_0's mape: 0.00911442\n",
      "[352000]\tvalid_0's mape: 0.00911432\n",
      "[354000]\tvalid_0's mape: 0.00911424\n",
      "[356000]\tvalid_0's mape: 0.00911415\n",
      "[358000]\tvalid_0's mape: 0.00911404\n",
      "[360000]\tvalid_0's mape: 0.00911393\n",
      "[362000]\tvalid_0's mape: 0.00911384\n",
      "[364000]\tvalid_0's mape: 0.00911372\n",
      "[366000]\tvalid_0's mape: 0.0091136\n",
      "[368000]\tvalid_0's mape: 0.00911352\n",
      "[370000]\tvalid_0's mape: 0.00911343\n",
      "[372000]\tvalid_0's mape: 0.00911334\n",
      "[374000]\tvalid_0's mape: 0.00911324\n",
      "[376000]\tvalid_0's mape: 0.00911314\n",
      "[378000]\tvalid_0's mape: 0.00911306\n",
      "[380000]\tvalid_0's mape: 0.00911298\n",
      "[382000]\tvalid_0's mape: 0.00911288\n",
      "[384000]\tvalid_0's mape: 0.00911279\n",
      "[386000]\tvalid_0's mape: 0.00911271\n",
      "[388000]\tvalid_0's mape: 0.00911264\n",
      "[390000]\tvalid_0's mape: 0.00911256\n",
      "[392000]\tvalid_0's mape: 0.00911249\n",
      "[394000]\tvalid_0's mape: 0.00911243\n",
      "[396000]\tvalid_0's mape: 0.00911235\n",
      "[398000]\tvalid_0's mape: 0.00911229\n",
      "[400000]\tvalid_0's mape: 0.00911223\n",
      "[402000]\tvalid_0's mape: 0.00911217\n",
      "[404000]\tvalid_0's mape: 0.00911213\n",
      "[406000]\tvalid_0's mape: 0.00911208\n",
      "[408000]\tvalid_0's mape: 0.00911203\n",
      "[410000]\tvalid_0's mape: 0.00911197\n",
      "[412000]\tvalid_0's mape: 0.00911191\n",
      "[414000]\tvalid_0's mape: 0.00911185\n",
      "[416000]\tvalid_0's mape: 0.00911179\n",
      "[418000]\tvalid_0's mape: 0.00911173\n",
      "[420000]\tvalid_0's mape: 0.00911166\n",
      "[422000]\tvalid_0's mape: 0.0091116\n",
      "[424000]\tvalid_0's mape: 0.00911154\n",
      "[426000]\tvalid_0's mape: 0.00911149\n",
      "[428000]\tvalid_0's mape: 0.00911144\n",
      "[430000]\tvalid_0's mape: 0.00911139\n",
      "[432000]\tvalid_0's mape: 0.00911135\n",
      "[434000]\tvalid_0's mape: 0.0091113\n",
      "[436000]\tvalid_0's mape: 0.00911125\n",
      "[438000]\tvalid_0's mape: 0.0091112\n",
      "[440000]\tvalid_0's mape: 0.00911115\n",
      "[442000]\tvalid_0's mape: 0.00911111\n",
      "[444000]\tvalid_0's mape: 0.00911106\n",
      "[446000]\tvalid_0's mape: 0.00911101\n",
      "[448000]\tvalid_0's mape: 0.00911097\n",
      "[450000]\tvalid_0's mape: 0.00911093\n",
      "[452000]\tvalid_0's mape: 0.00911088\n",
      "[454000]\tvalid_0's mape: 0.00911085\n",
      "[456000]\tvalid_0's mape: 0.00911079\n",
      "[458000]\tvalid_0's mape: 0.00911076\n",
      "[460000]\tvalid_0's mape: 0.00911071\n",
      "[462000]\tvalid_0's mape: 0.00911068\n",
      "[464000]\tvalid_0's mape: 0.00911064\n",
      "[466000]\tvalid_0's mape: 0.00911061\n",
      "[468000]\tvalid_0's mape: 0.00911057\n",
      "[470000]\tvalid_0's mape: 0.00911053\n",
      "[472000]\tvalid_0's mape: 0.00911049\n",
      "[474000]\tvalid_0's mape: 0.00911045\n",
      "[476000]\tvalid_0's mape: 0.00911041\n",
      "[478000]\tvalid_0's mape: 0.00911038\n",
      "[480000]\tvalid_0's mape: 0.00911035\n",
      "[482000]\tvalid_0's mape: 0.00911032\n",
      "[484000]\tvalid_0's mape: 0.00911029\n",
      "[486000]\tvalid_0's mape: 0.00911025\n",
      "[488000]\tvalid_0's mape: 0.00911022\n",
      "[490000]\tvalid_0's mape: 0.00911019\n",
      "[492000]\tvalid_0's mape: 0.00911016\n",
      "[494000]\tvalid_0's mape: 0.00911013\n",
      "[496000]\tvalid_0's mape: 0.0091101\n",
      "[498000]\tvalid_0's mape: 0.00911008\n",
      "[500000]\tvalid_0's mape: 0.00911005\n",
      "[502000]\tvalid_0's mape: 0.00911003\n",
      "[504000]\tvalid_0's mape: 0.00911001\n",
      "[506000]\tvalid_0's mape: 0.00910999\n",
      "[508000]\tvalid_0's mape: 0.00910996\n",
      "[510000]\tvalid_0's mape: 0.00910993\n",
      "[512000]\tvalid_0's mape: 0.00910991\n",
      "[514000]\tvalid_0's mape: 0.00910989\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[516000]\tvalid_0's mape: 0.00910987\n",
      "[518000]\tvalid_0's mape: 0.00910985\n",
      "[520000]\tvalid_0's mape: 0.00910983\n",
      "[522000]\tvalid_0's mape: 0.0091098\n",
      "[524000]\tvalid_0's mape: 0.00910978\n",
      "[526000]\tvalid_0's mape: 0.00910976\n",
      "[528000]\tvalid_0's mape: 0.00910974\n",
      "[530000]\tvalid_0's mape: 0.00910972\n",
      "[532000]\tvalid_0's mape: 0.00910971\n",
      "[534000]\tvalid_0's mape: 0.00910969\n",
      "[536000]\tvalid_0's mape: 0.00910967\n",
      "[538000]\tvalid_0's mape: 0.00910965\n",
      "[540000]\tvalid_0's mape: 0.00910963\n",
      "[542000]\tvalid_0's mape: 0.00910961\n",
      "[544000]\tvalid_0's mape: 0.00910959\n",
      "[546000]\tvalid_0's mape: 0.00910958\n",
      "[548000]\tvalid_0's mape: 0.00910957\n",
      "[550000]\tvalid_0's mape: 0.00910955\n",
      "[552000]\tvalid_0's mape: 0.00910953\n",
      "[554000]\tvalid_0's mape: 0.00910952\n",
      "Early stopping, best iteration is:\n",
      "[554608]\tvalid_0's mape: 0.00910952\n",
      "(Fold 4) score, mse, mae, mape: 5883.87206, 0.03728, 0.12120, 0.00911.\n"
     ]
    }
   ],
   "source": [
    "t0 = time.time()\n",
    "\n",
    "predicts_val = []\n",
    "predicts_test = test[['building_id']].copy()\n",
    "best_iterations = []\n",
    "scores = []\n",
    "for i, id_fold in enumerate(id_cv):\n",
    "    #id_fold = id_fold['building_id']\n",
    "    # split train, val\n",
    "    df_train = train.loc[~train['building_id'].isin(id_fold)].copy()\n",
    "    df_val = train.loc[train['building_id'].isin(id_fold)].copy()\n",
    "    df_test = test.copy()\n",
    "    \n",
    "    # feat eng\n",
    "    feat_eng = FeatureEngineering(cols_num, cols_cat, cols_feats, col_target)\n",
    "    df_train = feat_eng.fit_transform(df_train)\n",
    "    df_val = feat_eng.transform(df_val)\n",
    "    df_test = feat_eng.transform(df_test)\n",
    "\n",
    "    # Construct lgb dataset\n",
    "    lgb_train = lgb.Dataset(df_train[cols_feats], df_train[col_target]).construct()\n",
    "    lgb_val = lgb.Dataset(df_val[cols_feats], df_val[col_target], reference=lgb_train).construct()\n",
    "        \n",
    "    # train model    \n",
    "    model = lgb.train(params, lgb_train, valid_sets=lgb_val, **lgb_other_params, keep_training_booster=True)\n",
    "    best_iterations.append(model.best_iteration)\n",
    "\n",
    "    # Predict on val set\n",
    "    y_pred = model.predict(df_val[cols_feats])\n",
    "    mse = mean_squared_error(df_val[col_target], y_pred)\n",
    "    mae = mean_absolute_error(df_val[col_target], y_pred)\n",
    "    mape = cal_mape(df_val[col_target], y_pred)\n",
    "    \n",
    "    y_pred_final = post_processing(y_pred, df_val)\n",
    "    score = cal_score(df_val['total_price'], y_pred_final)\n",
    "    scores.append(score)\n",
    "\n",
    "    print('(Fold %d) score, mse, mae, mape: %.5f, %.5f, %.5f, %.5f.' % (i, score, mse, mae, mape))\n",
    "    predicts_val.append(pd.DataFrame({'building_id': df_val['building_id'],\n",
    "                                      'total_price': df_val['total_price'],\n",
    "                                      'total_price_predict': y_pred_final}))\n",
    "\n",
    "    # Predict on test set\n",
    "    y_pred_test = model.predict(df_test[cols_feats])\n",
    "    predicts_test['target_{}'.format(i)] = y_pred_test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total run time: 80231.61930441856\n"
     ]
    }
   ],
   "source": [
    "print('Total run time:', time.time() - t0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Kfold cv score (mean, stdev, all): 5885.673848278098 24.97399135820708 [5841.876550922353, 5912.873943204589, 5906.872196322482, 5882.874491035762, 5883.872059905307]\n"
     ]
    }
   ],
   "source": [
    "print('Kfold cv score (mean, stdev, all):', np.mean(scores), np.std(scores), scores) # 5868.87314"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Kfold cv mape (mean, stdev, all): 0.8738482780983758 0.0016524932085557507 [0.87655092 0.8739432  0.87219632 0.87449104 0.87205991]\n"
     ]
    }
   ],
   "source": [
    "mapes = np.mod(scores, 1)\n",
    "print('Kfold cv mape (mean, stdev, all):', np.mean(mapes), np.std(mapes), mapes)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "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>building_id</th>\n",
       "      <th>target_0</th>\n",
       "      <th>target_1</th>\n",
       "      <th>target_2</th>\n",
       "      <th>target_3</th>\n",
       "      <th>target_4</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>X5gsdTWGS3W7JJQB</td>\n",
       "      <td>15.158702</td>\n",
       "      <td>15.244747</td>\n",
       "      <td>15.290832</td>\n",
       "      <td>15.238183</td>\n",
       "      <td>15.134244</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>BTshNOJyKHnT2YIT</td>\n",
       "      <td>13.140567</td>\n",
       "      <td>13.134891</td>\n",
       "      <td>13.145348</td>\n",
       "      <td>13.144151</td>\n",
       "      <td>13.145500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>dhdymr0lV8N5kZOT</td>\n",
       "      <td>13.644720</td>\n",
       "      <td>13.675842</td>\n",
       "      <td>13.687683</td>\n",
       "      <td>13.686866</td>\n",
       "      <td>13.651730</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>VEwyGGMcD56w5BOc</td>\n",
       "      <td>14.805908</td>\n",
       "      <td>14.779416</td>\n",
       "      <td>14.748101</td>\n",
       "      <td>14.778350</td>\n",
       "      <td>14.770604</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>wmUeMoJZfsqaSX9b</td>\n",
       "      <td>12.128599</td>\n",
       "      <td>12.123900</td>\n",
       "      <td>12.083356</td>\n",
       "      <td>12.163984</td>\n",
       "      <td>12.198523</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        building_id   target_0   target_1   target_2   target_3   target_4\n",
       "0  X5gsdTWGS3W7JJQB  15.158702  15.244747  15.290832  15.238183  15.134244\n",
       "1  BTshNOJyKHnT2YIT  13.140567  13.134891  13.145348  13.144151  13.145500\n",
       "2  dhdymr0lV8N5kZOT  13.644720  13.675842  13.687683  13.686866  13.651730\n",
       "3  VEwyGGMcD56w5BOc  14.805908  14.779416  14.748101  14.778350  14.770604\n",
       "4  wmUeMoJZfsqaSX9b  12.128599  12.123900  12.083356  12.163984  12.198523"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "predicts_test.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "pd.concat(predicts_val, axis=0).to_csv('output/'+model_name+'-cv.csv', index=False)\n",
    "\n",
    "predicts_test['target_mean'] = \\\n",
    "    predicts_test[['target_'+str(i) for i in range(len(id_cv))]].mean(axis=1)\n",
    "predicts_test['total_price'] = post_processing(predicts_test['target_mean'].values, df_test)\n",
    "predicts_test[['building_id', 'total_price']].to_csv('output/'+model_name+'-test-kfold.csv', index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Best iterations: [557623, 547652, 546509, 558090, 554608]\n",
      "Mean best iterations: 552896\n"
     ]
    }
   ],
   "source": [
    "print('Best iterations:', best_iterations)\n",
    "print('Mean best iterations:', int(np.mean(best_iterations)))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### One-fold test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'num_boost_round': 663475, 'verbose_eval': 2000}"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lgb_other_params_one = {'num_boost_round': int(np.mean(best_iterations)*1.2),\n",
    "                        'verbose_eval': 2000,}\n",
    "lgb_other_params_one"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'task': 'train',\n",
       " 'boosting_type': 'gbdt',\n",
       " 'objective': 'mse',\n",
       " 'metric': 'mape',\n",
       " 'learning_rate': 0.0005,\n",
       " 'max_depth': 22,\n",
       " 'num_leaves': 255,\n",
       " 'feature_fraction': 0.45,\n",
       " 'min_data_in_leaf': 8,\n",
       " 'lambda_l1': 0.02,\n",
       " 'lambda_l2': 0.04,\n",
       " 'max_bin': 511,\n",
       " 'min_sum_hessian_in_leaf': 0.1,\n",
       " 'min_data_per_group': 50,\n",
       " 'seed': 5817}"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "params"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2000]\ttraining's mape: 0.0259818\n",
      "[4000]\ttraining's mape: 0.0146261\n",
      "[6000]\ttraining's mape: 0.0109188\n",
      "[8000]\ttraining's mape: 0.00938584\n",
      "[10000]\ttraining's mape: 0.00850321\n",
      "[12000]\ttraining's mape: 0.00788684\n",
      "[14000]\ttraining's mape: 0.00740269\n",
      "[16000]\ttraining's mape: 0.0069982\n",
      "[18000]\ttraining's mape: 0.00664683\n",
      "[20000]\ttraining's mape: 0.00633348\n",
      "[22000]\ttraining's mape: 0.00605295\n",
      "[24000]\ttraining's mape: 0.00580164\n",
      "[26000]\ttraining's mape: 0.00557223\n",
      "[28000]\ttraining's mape: 0.00536556\n",
      "[30000]\ttraining's mape: 0.00517812\n",
      "[32000]\ttraining's mape: 0.00500456\n",
      "[34000]\ttraining's mape: 0.00484367\n",
      "[36000]\ttraining's mape: 0.00469203\n",
      "[38000]\ttraining's mape: 0.00454897\n",
      "[40000]\ttraining's mape: 0.00441361\n",
      "[42000]\ttraining's mape: 0.00428484\n",
      "[44000]\ttraining's mape: 0.00416223\n",
      "[46000]\ttraining's mape: 0.00404535\n",
      "[48000]\ttraining's mape: 0.0039326\n",
      "[50000]\ttraining's mape: 0.0038244\n",
      "[52000]\ttraining's mape: 0.00372147\n",
      "[54000]\ttraining's mape: 0.00362254\n",
      "[56000]\ttraining's mape: 0.00352751\n",
      "[58000]\ttraining's mape: 0.00343617\n",
      "[60000]\ttraining's mape: 0.00334762\n",
      "[62000]\ttraining's mape: 0.00326216\n",
      "[64000]\ttraining's mape: 0.00318196\n",
      "[66000]\ttraining's mape: 0.00310324\n",
      "[68000]\ttraining's mape: 0.00302797\n",
      "[70000]\ttraining's mape: 0.00295542\n",
      "[72000]\ttraining's mape: 0.00288536\n",
      "[74000]\ttraining's mape: 0.00281781\n",
      "[76000]\ttraining's mape: 0.00275272\n",
      "[78000]\ttraining's mape: 0.00269036\n",
      "[80000]\ttraining's mape: 0.00262915\n",
      "[82000]\ttraining's mape: 0.00256956\n",
      "[84000]\ttraining's mape: 0.00251146\n",
      "[86000]\ttraining's mape: 0.00245545\n",
      "[88000]\ttraining's mape: 0.00240098\n",
      "[90000]\ttraining's mape: 0.00234851\n",
      "[92000]\ttraining's mape: 0.00229764\n",
      "[94000]\ttraining's mape: 0.00224761\n",
      "[96000]\ttraining's mape: 0.00219889\n",
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      "[652000]\ttraining's mape: 7.83175e-05\n",
      "[654000]\ttraining's mape: 7.78933e-05\n",
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      "[662000]\ttraining's mape: 7.61956e-05\n"
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     "data": {
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>building_id</th>\n",
       "      <th>total_price</th>\n",
       "    </tr>\n",
       "  </thead>\n",
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       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>X5gsdTWGS3W7JJQB</td>\n",
       "      <td>1.458851e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>BTshNOJyKHnT2YIT</td>\n",
       "      <td>3.930381e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>dhdymr0lV8N5kZOT</td>\n",
       "      <td>1.053625e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>VEwyGGMcD56w5BOc</td>\n",
       "      <td>5.922934e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
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       "      <td>1.092658e+06</td>\n",
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       "    <tr>\n",
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       "      <td>2.682380e+06</td>\n",
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       "    <tr>\n",
       "      <th>6</th>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>fxZSGX6aPAFKU8W4</td>\n",
       "      <td>1.679619e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>ewr0Fx6ign87OwaV</td>\n",
       "      <td>4.167186e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>gHKurnEP4AowzsLg</td>\n",
       "      <td>8.931393e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>PmLfTgY2FElLrTl0</td>\n",
       "      <td>5.411156e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>eM2NppIOwzW0o8iy</td>\n",
       "      <td>9.740283e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>dxxwNun97NH4WTrZ</td>\n",
       "      <td>3.025745e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>jykBfhh3vdeFUi3H</td>\n",
       "      <td>3.973362e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>NlXbvdFfmJZf3L18</td>\n",
       "      <td>2.180289e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>D7jaFWHCzSqLBwdt</td>\n",
       "      <td>9.861848e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>L10dBBdqGmemweSl</td>\n",
       "      <td>6.099292e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>OgB0AdiPKlElakKN</td>\n",
       "      <td>1.054229e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>StiWNN1GQrpPBOYt</td>\n",
       "      <td>2.604080e+06</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         building_id   total_price\n",
       "0   X5gsdTWGS3W7JJQB  1.458851e+07\n",
       "1   BTshNOJyKHnT2YIT  3.930381e+06\n",
       "2   dhdymr0lV8N5kZOT  1.053625e+07\n",
       "3   VEwyGGMcD56w5BOc  5.922934e+06\n",
       "4   wmUeMoJZfsqaSX9b  1.092658e+06\n",
       "5   EtBjGAHmHCe9t7TZ  2.682380e+06\n",
       "6   hPNH34vmaZtvBtqc  1.224960e+07\n",
       "7   wXjeI38bYDMJJwZC  6.374913e+06\n",
       "8   fxZSGX6aPAFKU8W4  1.679619e+06\n",
       "9   ewr0Fx6ign87OwaV  4.167186e+06\n",
       "10  gHKurnEP4AowzsLg  8.931393e+05\n",
       "11  PmLfTgY2FElLrTl0  5.411156e+06\n",
       "12  eM2NppIOwzW0o8iy  9.740283e+06\n",
       "13  dxxwNun97NH4WTrZ  3.025745e+06\n",
       "14  jykBfhh3vdeFUi3H  3.973362e+06\n",
       "15  NlXbvdFfmJZf3L18  2.180289e+07\n",
       "16  D7jaFWHCzSqLBwdt  9.861848e+05\n",
       "17  L10dBBdqGmemweSl  6.099292e+06\n",
       "18  OgB0AdiPKlElakKN  1.054229e+06\n",
       "19  StiWNN1GQrpPBOYt  2.604080e+06"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "t10 = time.time()\n",
    "\n",
    "df_train = train.copy()\n",
    "df_test = test.copy()\n",
    "\n",
    "# feat eng\n",
    "feat_eng = FeatureEngineering(cols_num, cols_cat, cols_feats, col_target)\n",
    "df_train = feat_eng.fit_transform(df_train)\n",
    "df_test = feat_eng.transform(df_test)\n",
    "\n",
    "# Construct lgb dataset\n",
    "lgb_train = lgb.Dataset(df_train[cols_feats], df_train[col_target]).construct()\n",
    "\n",
    "# train model    \n",
    "model = lgb.train(params, lgb_train, valid_sets=lgb_train, **lgb_other_params_one, keep_training_booster=True)\n",
    "\n",
    "y_pred = model.predict(df_test[cols_feats])\n",
    "y_pred_final = post_processing(y_pred, df_test)\n",
    "\n",
    "df_test_pred = pd.DataFrame({'building_id': df_test['building_id'], \n",
    "                             'total_price': y_pred_final})\n",
    "\n",
    "t11 = time.time()\n",
    "\n",
    "display(df_test_pred.head(20))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_test_pred.to_csv('output/'+model_name+'-test-one.csv', index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total run time: 18643.72775411606\n"
     ]
    }
   ],
   "source": [
    "print('Total run time:', t11 - t10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Feature importance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x2160 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "lgb.plot_importance(model, figsize=(12, 30), height=0.5) # 050, 051, 052\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x2160 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "lgb.plot_importance(model, figsize=(12, 30), height=0.5, importance_type='gain') # 050, 051, 052\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.8"
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": true,
   "sideBar": true,
   "skip_h1_title": true,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {
    "height": "calc(100% - 180px)",
    "left": "10px",
    "top": "150px",
    "width": "193.785px"
   },
   "toc_section_display": true,
   "toc_window_display": true
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}