model-36-predict-lgb-remove_outlier_03-0.001-2.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Change Log:\n",
    "- v32 - remove building with too large percent error\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": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/lightgbm/__init__.py:45: FutureWarning: Starting from version 2.2.1, the library file in distribution wheels for macOS will be built by the Apple Clang compiler.\n",
      "This means that in case of installing LightGBM from PyPI via the ``pip install lightgbm`` command, you won't need to install the gcc compiler anymore.\n",
      "Instead of that, you'll need to install the OpenMP library, which is required for running LightGBM on the system with the Apple Clang compiler.\n",
      "You can install the OpenMP library by the following command: ``brew install libomp``.\n",
      "  \"You can install the OpenMP library by the following command: ``brew install libomp``.\", FutureWarning)\n"
     ]
    }
   ],
   "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-36-lgb-remove_outlier_03-0.001-2'"
   ]
  },
  {
   "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",
    "rm_outlier = True\n",
    "outlier_pct = 3 # 1, 3, 5\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']\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",
    "    \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",
    "    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",
    "    \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)\n"
   ]
  },
  {
   "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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       "</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",
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       "  </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  \\\n",
       "0            2                 6271           2          NaN   \n",
       "1            2                 7885           2          NaN   \n",
       "2            2                 6028           2          NaN   \n",
       "3            2                18325           0          NaN   \n",
       "4            2                 6880           2          NaN   \n",
       "\n",
       "          ...         XIV_500 XIV_index_500 XIV_1000 XIV_index_1000 XIV_5000  \\\n",
       "0         ...              58             1      157              1     2483   \n",
       "1         ...              28             1      115              1    15872   \n",
       "2         ...              78             1      212              1    15760   \n",
       "3         ...              20             1      125              1     2568   \n",
       "4         ...              18             1       47              1     2587   \n",
       "\n",
       "  XIV_index_5000 XIV_10000 XIV_index_10000             XIV_MIN  \\\n",
       "0              1      6011               1  34.469802848528126   \n",
       "1              1     32221               1   40.07357348973039   \n",
       "2              1     32228               1   54.46208108983661   \n",
       "3              1      7271               1   99.62896580763416   \n",
       "4              1      7442               1   124.1312362968124   \n",
       "\n",
       "          total_price  \n",
       "0   647603.7704719775  \n",
       "1           3321452.0  \n",
       "2   9570885.316206373  \n",
       "3  14215011.127100045  \n",
       "4   762711.9757135696  \n",
       "\n",
       "[5 rows x 235 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "        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>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_250</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",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>X5gsdTWGS3W7JJQB</td>\n",
       "      <td>1</td>\n",
       "      <td>13</td>\n",
       "      <td>18634</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>1857</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>7</td>\n",
       "      <td>21</td>\n",
       "      <td>1</td>\n",
       "      <td>129</td>\n",
       "      <td>1</td>\n",
       "      <td>3991</td>\n",
       "      <td>1</td>\n",
       "      <td>8409</td>\n",
       "      <td>1</td>\n",
       "      <td>105.4622312795739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>BTshNOJyKHnT2YIT</td>\n",
       "      <td>8</td>\n",
       "      <td>7</td>\n",
       "      <td>20199</td>\n",
       "      <td>10</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>16011</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>18</td>\n",
       "      <td>44</td>\n",
       "      <td>1</td>\n",
       "      <td>67</td>\n",
       "      <td>1</td>\n",
       "      <td>1950</td>\n",
       "      <td>1</td>\n",
       "      <td>10725</td>\n",
       "      <td>1</td>\n",
       "      <td>100.81980868401074</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>dhdymr0lV8N5kZOT</td>\n",
       "      <td>8</td>\n",
       "      <td>12</td>\n",
       "      <td>19769</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>10</td>\n",
       "      <td>18294</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>35</td>\n",
       "      <td>1</td>\n",
       "      <td>3707</td>\n",
       "      <td>1</td>\n",
       "      <td>19459</td>\n",
       "      <td>1</td>\n",
       "      <td>259.8005430183116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>VEwyGGMcD56w5BOc</td>\n",
       "      <td>10</td>\n",
       "      <td>7</td>\n",
       "      <td>20479</td>\n",
       "      <td>19</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>17837</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>16</td>\n",
       "      <td>60</td>\n",
       "      <td>1</td>\n",
       "      <td>144</td>\n",
       "      <td>1</td>\n",
       "      <td>6487</td>\n",
       "      <td>1</td>\n",
       "      <td>29400</td>\n",
       "      <td>1</td>\n",
       "      <td>22.941906168328487</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>wmUeMoJZfsqaSX9b</td>\n",
       "      <td>8</td>\n",
       "      <td>3</td>\n",
       "      <td>18164</td>\n",
       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>13272</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>4</td>\n",
       "      <td>18</td>\n",
       "      <td>1</td>\n",
       "      <td>76</td>\n",
       "      <td>1</td>\n",
       "      <td>1346</td>\n",
       "      <td>1</td>\n",
       "      <td>3280</td>\n",
       "      <td>1</td>\n",
       "      <td>181.21309507601745</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 234 columns</p>\n",
       "</div>"
      ],
      "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",
       "2  dhdymr0lV8N5kZOT                 8   12  19769           4             4   \n",
       "3  VEwyGGMcD56w5BOc                10    7  20479          19             2   \n",
       "4  wmUeMoJZfsqaSX9b                 8    3  18164          13             0   \n",
       "\n",
       "  building_use building_complete_dt parking_way parking_area  \\\n",
       "0            2                 1857           2          NaN   \n",
       "1            2                16011           2          NaN   \n",
       "2           10                18294           2          NaN   \n",
       "3            0                17837           2          NaN   \n",
       "4            2                13272           2          NaN   \n",
       "\n",
       "          ...         XIV_250 XIV_500 XIV_index_500 XIV_1000 XIV_index_1000  \\\n",
       "0         ...               7      21             1      129              1   \n",
       "1         ...              18      44             1       67              1   \n",
       "2         ...               0       3             1       35              1   \n",
       "3         ...              16      60             1      144              1   \n",
       "4         ...               4      18             1       76              1   \n",
       "\n",
       "  XIV_5000 XIV_index_5000 XIV_10000 XIV_index_10000             XIV_MIN  \n",
       "0     3991              1      8409               1   105.4622312795739  \n",
       "1     1950              1     10725               1  100.81980868401074  \n",
       "2     3707              1     19459               1   259.8005430183116  \n",
       "3     6487              1     29400               1  22.941906168328487  \n",
       "4     1346              1      3280               1  181.21309507601745  \n",
       "\n",
       "[5 rows x 234 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "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": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "N outliers removed: 1800\n"
     ]
    }
   ],
   "source": [
    "# Only train on data in this list\n",
    "if rm_outlier:\n",
    "    training_buildings = pd.read_csv('dataset/building_we_care_%d.csv'%outlier_pct)\n",
    "    print('N outliers removed:', len(train) - len(training_buildings))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Preprocessing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Library/Frameworks/Python.framework/Versions/3.6/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",
      "/Library/Frameworks/Python.framework/Versions/3.6/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": 11,
   "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": "markdown",
   "metadata": {},
   "source": [
    "### Remove feats based on shuffle results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "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",
      "70\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', 'IX_10', 'IV_index_1000']\n",
      "N feats (before): 214\n",
      "N feats (after): 144\n",
      "['III_250', 'X_MIN', 'XI_250', 'XI_10000', 'III_500', 'X_500', 'XIV_100', 'III_10000', 'VIII_250', 'II_100', 'born_rate', 'VII_10000', 'txn_floor', 'building_area', 'marriage_rate', 'city', 'XII_250', 'XIII_MIN', 'XI_50', 'X_10000', 'XI_500', 'VIII_100', 'X_250', 'I_5000', 'XII_500', 'IV_index_500', 'XII_50', 'XIII_100', 'XI_5000', 'I_1000', 'lat', 'IX_10000', 'building_complete_dt', 'IX_5000', 'VIII_500', 'XI_1000', 'XIV_250', 'town_area', 'elementary_rate', 'V_MIN', 'XIII_10000', 'III_10', 'V_index_50', 'IV_250', 'parking_area', 'jobschool_rate', 'V_500', 'town_population_density', 'III_50', 'building_type', 'land_area', 'bachelor_rate', 'III_5000', 'III_1000', 'VII_5000', 'VII_500', 'V_5000', 'N_50', 'N_10000', 'V_1000', 'III_100', 'IX_MIN', 'XII_100', 'XI_MIN', 'X_5000', 'master_rate', 'junior_rate', 'V_10000', 'V_250', 'II_500', 'height_r', 'IV_MIN', 'X_1000', 'XII_10', 'IX_1000', 'XIII_500', 'VI_MIN', 'total_floor', 'XIV_MIN', 'VIII_MIN', 'death_rate', 'IV_5000', 'town_population', 'VII_MIN', 'IX_500', 'building_use', 'IV_10000', 'XIII_1000', 'VI_10000', 'VIII_10', 'IV_100', 'XIV_1000', 'building_per_land_area', 'VII_100', 'IV_1000', 'lon', 'VII_50', 'village', 'VIII_5000', 'VII_1000', 'XII_1000', 'VIII_10000', 'II_250', 'VIII_50', 'IX_100', 'XIV_10000', 'XIII_index_10000', 'XIII_50', 'XIV_500', 'IV_500', 'II_5000', 'XIV_50', 'parking_price', 'X_index_50', 'I_10000', 'N_1000', 'V_50', 'XIII_250', 'I_MIN', 'X_50', 'parking_way', 'VII_250', 'town', 'II_1000', 'VIII_1000', 'II_10000', 'encoded_latlon', 'III_MIN', 'village_income_median', 'IV_10', 'IX_250', 'highschool_rate', 'XII_5000', 'III_index_500', 'XIII_5000', 'VI_5000', 'building_material', 'II_MIN', 'doc_rate', 'txn_dt', 'VIII_index_50', 'XII_10000', 'XIV_5000', 'XII_MIN']\n"
     ]
    }
   ],
   "source": [
    "# PARS #\n",
    "N_feats_rm = 70\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": 13,
   "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': 0.001, # 0.001\n",
    "          'max_depth': 24,\n",
    "          'num_leaves': 279,           # may reduce in dim-reduction exp\n",
    "          'feature_fraction': 0.45,\n",
    "          'min_data_in_leaf': 8,\n",
    "          'lambda_l1': 0.07,\n",
    "          'lambda_l2': 0.01,\n",
    "          'seed': 666,\n",
    "          'bagging_freq': 8,\n",
    "          'bagging_fraction': 0.8, \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": 14,
   "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: 0.0157146\n",
      "[4000]\tvalid_0's mape: 0.0113885\n",
      "[6000]\tvalid_0's mape: 0.010458\n",
      "[8000]\tvalid_0's mape: 0.0100364\n",
      "[10000]\tvalid_0's mape: 0.00979119\n",
      "[12000]\tvalid_0's mape: 0.00962742\n",
      "[14000]\tvalid_0's mape: 0.00951067\n",
      "[16000]\tvalid_0's mape: 0.0094228\n",
      "[18000]\tvalid_0's mape: 0.00935455\n",
      "[20000]\tvalid_0's mape: 0.00929887\n",
      "[22000]\tvalid_0's mape: 0.00925367\n",
      "[24000]\tvalid_0's mape: 0.00921663\n",
      "[26000]\tvalid_0's mape: 0.00918505\n",
      "[28000]\tvalid_0's mape: 0.0091584\n",
      "[30000]\tvalid_0's mape: 0.00913602\n",
      "[32000]\tvalid_0's mape: 0.00911559\n",
      "[34000]\tvalid_0's mape: 0.00909842\n",
      "[36000]\tvalid_0's mape: 0.00908298\n",
      "[38000]\tvalid_0's mape: 0.0090694\n",
      "[40000]\tvalid_0's mape: 0.00905713\n",
      "[42000]\tvalid_0's mape: 0.00904598\n",
      "[44000]\tvalid_0's mape: 0.00903647\n",
      "[46000]\tvalid_0's mape: 0.0090277\n",
      "[48000]\tvalid_0's mape: 0.00901991\n",
      "[50000]\tvalid_0's mape: 0.0090124\n",
      "[52000]\tvalid_0's mape: 0.0090055\n",
      "[54000]\tvalid_0's mape: 0.00899933\n",
      "[56000]\tvalid_0's mape: 0.00899391\n",
      "[58000]\tvalid_0's mape: 0.00898857\n",
      "[60000]\tvalid_0's mape: 0.00898392\n",
      "[62000]\tvalid_0's mape: 0.0089794\n",
      "[64000]\tvalid_0's mape: 0.00897548\n",
      "[66000]\tvalid_0's mape: 0.00897203\n",
      "[68000]\tvalid_0's mape: 0.00896846\n",
      "[70000]\tvalid_0's mape: 0.00896536\n",
      "[72000]\tvalid_0's mape: 0.00896246\n",
      "[74000]\tvalid_0's mape: 0.00895978\n",
      "[76000]\tvalid_0's mape: 0.0089575\n",
      "[78000]\tvalid_0's mape: 0.00895526\n",
      "[80000]\tvalid_0's mape: 0.00895306\n",
      "[82000]\tvalid_0's mape: 0.00895081\n",
      "[84000]\tvalid_0's mape: 0.00894873\n",
      "[86000]\tvalid_0's mape: 0.00894685\n",
      "[88000]\tvalid_0's mape: 0.00894515\n",
      "[90000]\tvalid_0's mape: 0.00894351\n",
      "[92000]\tvalid_0's mape: 0.00894204\n",
      "[94000]\tvalid_0's mape: 0.00894077\n",
      "[96000]\tvalid_0's mape: 0.00893937\n",
      "[98000]\tvalid_0's mape: 0.00893816\n",
      "[100000]\tvalid_0's mape: 0.00893703\n",
      "[102000]\tvalid_0's mape: 0.00893579\n",
      "[104000]\tvalid_0's mape: 0.00893461\n",
      "[106000]\tvalid_0's mape: 0.00893349\n",
      "[108000]\tvalid_0's mape: 0.00893249\n",
      "[110000]\tvalid_0's mape: 0.00893152\n",
      "[112000]\tvalid_0's mape: 0.00893066\n",
      "[114000]\tvalid_0's mape: 0.00892994\n",
      "[116000]\tvalid_0's mape: 0.00892921\n",
      "[118000]\tvalid_0's mape: 0.0089285\n",
      "[120000]\tvalid_0's mape: 0.00892781\n",
      "[122000]\tvalid_0's mape: 0.00892704\n",
      "[124000]\tvalid_0's mape: 0.00892633\n",
      "[126000]\tvalid_0's mape: 0.00892576\n",
      "[128000]\tvalid_0's mape: 0.00892507\n",
      "[130000]\tvalid_0's mape: 0.00892452\n",
      "[132000]\tvalid_0's mape: 0.00892398\n",
      "[134000]\tvalid_0's mape: 0.00892347\n",
      "[136000]\tvalid_0's mape: 0.00892301\n",
      "[138000]\tvalid_0's mape: 0.00892259\n",
      "[140000]\tvalid_0's mape: 0.0089221\n",
      "[142000]\tvalid_0's mape: 0.0089217\n",
      "[144000]\tvalid_0's mape: 0.00892125\n",
      "[146000]\tvalid_0's mape: 0.00892077\n",
      "[148000]\tvalid_0's mape: 0.00892034\n",
      "[150000]\tvalid_0's mape: 0.00892\n",
      "[152000]\tvalid_0's mape: 0.00891964\n",
      "[154000]\tvalid_0's mape: 0.00891929\n",
      "[156000]\tvalid_0's mape: 0.00891895\n",
      "[158000]\tvalid_0's mape: 0.00891862\n",
      "[160000]\tvalid_0's mape: 0.00891828\n",
      "[162000]\tvalid_0's mape: 0.00891793\n",
      "[164000]\tvalid_0's mape: 0.00891759\n",
      "[166000]\tvalid_0's mape: 0.0089172\n",
      "[168000]\tvalid_0's mape: 0.00891692\n",
      "[170000]\tvalid_0's mape: 0.00891663\n",
      "[172000]\tvalid_0's mape: 0.00891634\n",
      "[174000]\tvalid_0's mape: 0.00891607\n",
      "[176000]\tvalid_0's mape: 0.00891588\n",
      "[178000]\tvalid_0's mape: 0.00891564\n",
      "[180000]\tvalid_0's mape: 0.00891542\n",
      "[182000]\tvalid_0's mape: 0.00891525\n",
      "[184000]\tvalid_0's mape: 0.00891497\n",
      "[186000]\tvalid_0's mape: 0.00891467\n",
      "[188000]\tvalid_0's mape: 0.00891445\n",
      "[190000]\tvalid_0's mape: 0.00891423\n",
      "[192000]\tvalid_0's mape: 0.00891403\n",
      "[194000]\tvalid_0's mape: 0.00891384\n",
      "[196000]\tvalid_0's mape: 0.00891365\n",
      "[198000]\tvalid_0's mape: 0.00891345\n",
      "[200000]\tvalid_0's mape: 0.0089133\n",
      "[202000]\tvalid_0's mape: 0.00891315\n",
      "[204000]\tvalid_0's mape: 0.00891295\n",
      "[206000]\tvalid_0's mape: 0.00891274\n",
      "[208000]\tvalid_0's mape: 0.00891257\n",
      "[210000]\tvalid_0's mape: 0.00891244\n",
      "[212000]\tvalid_0's mape: 0.00891229\n",
      "[214000]\tvalid_0's mape: 0.00891214\n",
      "[216000]\tvalid_0's mape: 0.00891203\n",
      "[218000]\tvalid_0's mape: 0.00891192\n",
      "[220000]\tvalid_0's mape: 0.00891177\n",
      "[222000]\tvalid_0's mape: 0.00891164\n",
      "[224000]\tvalid_0's mape: 0.00891145\n",
      "[226000]\tvalid_0's mape: 0.0089113\n",
      "[228000]\tvalid_0's mape: 0.00891116\n",
      "[230000]\tvalid_0's mape: 0.008911\n",
      "[232000]\tvalid_0's mape: 0.00891089\n",
      "[234000]\tvalid_0's mape: 0.00891077\n",
      "[236000]\tvalid_0's mape: 0.00891064\n",
      "[238000]\tvalid_0's mape: 0.00891054\n",
      "[240000]\tvalid_0's mape: 0.00891044\n",
      "[242000]\tvalid_0's mape: 0.00891031\n",
      "[244000]\tvalid_0's mape: 0.00891019\n",
      "[246000]\tvalid_0's mape: 0.00891008\n",
      "[248000]\tvalid_0's mape: 0.00890994\n",
      "[250000]\tvalid_0's mape: 0.00890983\n",
      "[252000]\tvalid_0's mape: 0.00890973\n",
      "[254000]\tvalid_0's mape: 0.00890964\n",
      "[256000]\tvalid_0's mape: 0.00890956\n",
      "[258000]\tvalid_0's mape: 0.00890949\n",
      "[260000]\tvalid_0's mape: 0.00890942\n",
      "[262000]\tvalid_0's mape: 0.00890932\n",
      "[264000]\tvalid_0's mape: 0.00890924\n",
      "[266000]\tvalid_0's mape: 0.00890912\n",
      "[268000]\tvalid_0's mape: 0.00890905\n",
      "[270000]\tvalid_0's mape: 0.00890893\n",
      "[272000]\tvalid_0's mape: 0.00890886\n",
      "[274000]\tvalid_0's mape: 0.00890878\n",
      "[276000]\tvalid_0's mape: 0.00890869\n",
      "[278000]\tvalid_0's mape: 0.00890867\n",
      "[280000]\tvalid_0's mape: 0.00890863\n",
      "[282000]\tvalid_0's mape: 0.00890855\n",
      "[284000]\tvalid_0's mape: 0.00890847\n",
      "[286000]\tvalid_0's mape: 0.00890836\n",
      "[288000]\tvalid_0's mape: 0.00890826\n",
      "[290000]\tvalid_0's mape: 0.00890818\n",
      "[292000]\tvalid_0's mape: 0.00890812\n",
      "[294000]\tvalid_0's mape: 0.00890805\n",
      "[296000]\tvalid_0's mape: 0.00890799\n",
      "[298000]\tvalid_0's mape: 0.00890795\n",
      "Early stopping, best iteration is:\n",
      "[297368]\tvalid_0's mape: 0.00890795\n",
      "(Fold 0) score, mse, mae, mape: 5933.87798, 0.03522, 0.11850, 0.00891.\n",
      "Training until validation scores don't improve for 1000 rounds.\n",
      "[2000]\tvalid_0's mape: 0.0158336\n",
      "[4000]\tvalid_0's mape: 0.0114625\n",
      "[6000]\tvalid_0's mape: 0.0105444\n",
      "[8000]\tvalid_0's mape: 0.0101259\n",
      "[10000]\tvalid_0's mape: 0.00987419\n",
      "[12000]\tvalid_0's mape: 0.00970243\n",
      "[14000]\tvalid_0's mape: 0.00957926\n",
      "[16000]\tvalid_0's mape: 0.00948521\n",
      "[18000]\tvalid_0's mape: 0.00941255\n",
      "[20000]\tvalid_0's mape: 0.00935316\n",
      "[22000]\tvalid_0's mape: 0.00930459\n",
      "[24000]\tvalid_0's mape: 0.00926541\n",
      "[26000]\tvalid_0's mape: 0.00923171\n",
      "[28000]\tvalid_0's mape: 0.00920367\n",
      "[30000]\tvalid_0's mape: 0.00917996\n",
      "[32000]\tvalid_0's mape: 0.00915927\n",
      "[34000]\tvalid_0's mape: 0.00914128\n",
      "[36000]\tvalid_0's mape: 0.00912533\n",
      "[38000]\tvalid_0's mape: 0.00911163\n",
      "[40000]\tvalid_0's mape: 0.00909932\n",
      "[42000]\tvalid_0's mape: 0.00908803\n",
      "[44000]\tvalid_0's mape: 0.00907831\n",
      "[46000]\tvalid_0's mape: 0.0090697\n",
      "[48000]\tvalid_0's mape: 0.00906179\n",
      "[50000]\tvalid_0's mape: 0.00905451\n",
      "[52000]\tvalid_0's mape: 0.00904791\n",
      "[54000]\tvalid_0's mape: 0.00904227\n",
      "[56000]\tvalid_0's mape: 0.00903706\n",
      "[58000]\tvalid_0's mape: 0.00903212\n",
      "[60000]\tvalid_0's mape: 0.00902771\n",
      "[62000]\tvalid_0's mape: 0.00902351\n",
      "[64000]\tvalid_0's mape: 0.0090197\n",
      "[66000]\tvalid_0's mape: 0.00901614\n",
      "[68000]\tvalid_0's mape: 0.00901281\n",
      "[70000]\tvalid_0's mape: 0.00900973\n",
      "[72000]\tvalid_0's mape: 0.00900675\n",
      "[74000]\tvalid_0's mape: 0.00900412\n",
      "[76000]\tvalid_0's mape: 0.00900159\n",
      "[78000]\tvalid_0's mape: 0.00899914\n",
      "[80000]\tvalid_0's mape: 0.00899678\n",
      "[82000]\tvalid_0's mape: 0.00899471\n",
      "[84000]\tvalid_0's mape: 0.00899259\n",
      "[86000]\tvalid_0's mape: 0.00899072\n",
      "[88000]\tvalid_0's mape: 0.00898902\n",
      "[90000]\tvalid_0's mape: 0.00898737\n",
      "[92000]\tvalid_0's mape: 0.00898576\n",
      "[94000]\tvalid_0's mape: 0.00898433\n",
      "[96000]\tvalid_0's mape: 0.00898291\n",
      "[98000]\tvalid_0's mape: 0.00898159\n",
      "[100000]\tvalid_0's mape: 0.00898043\n",
      "[102000]\tvalid_0's mape: 0.0089793\n",
      "[104000]\tvalid_0's mape: 0.00897819\n",
      "[106000]\tvalid_0's mape: 0.00897733\n",
      "[108000]\tvalid_0's mape: 0.00897638\n",
      "[110000]\tvalid_0's mape: 0.00897551\n",
      "[112000]\tvalid_0's mape: 0.00897469\n",
      "[114000]\tvalid_0's mape: 0.00897401\n",
      "[116000]\tvalid_0's mape: 0.00897327\n",
      "[118000]\tvalid_0's mape: 0.00897254\n",
      "[120000]\tvalid_0's mape: 0.00897198\n",
      "[122000]\tvalid_0's mape: 0.00897133\n",
      "[124000]\tvalid_0's mape: 0.00897078\n",
      "[126000]\tvalid_0's mape: 0.00897019\n",
      "[128000]\tvalid_0's mape: 0.00896955\n",
      "[130000]\tvalid_0's mape: 0.00896909\n",
      "[132000]\tvalid_0's mape: 0.00896856\n",
      "[134000]\tvalid_0's mape: 0.00896803\n",
      "[136000]\tvalid_0's mape: 0.00896758\n",
      "[138000]\tvalid_0's mape: 0.00896708\n",
      "[140000]\tvalid_0's mape: 0.00896667\n",
      "[142000]\tvalid_0's mape: 0.00896631\n",
      "[144000]\tvalid_0's mape: 0.00896594\n",
      "[146000]\tvalid_0's mape: 0.00896563\n",
      "[148000]\tvalid_0's mape: 0.00896524\n",
      "[150000]\tvalid_0's mape: 0.00896492\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[152000]\tvalid_0's mape: 0.00896463\n",
      "[154000]\tvalid_0's mape: 0.00896429\n",
      "[156000]\tvalid_0's mape: 0.00896399\n",
      "[158000]\tvalid_0's mape: 0.00896367\n",
      "[160000]\tvalid_0's mape: 0.00896339\n",
      "[162000]\tvalid_0's mape: 0.00896315\n",
      "[164000]\tvalid_0's mape: 0.00896288\n",
      "[166000]\tvalid_0's mape: 0.00896264\n",
      "[168000]\tvalid_0's mape: 0.00896234\n",
      "[170000]\tvalid_0's mape: 0.00896214\n",
      "[172000]\tvalid_0's mape: 0.00896189\n",
      "[174000]\tvalid_0's mape: 0.00896163\n",
      "[176000]\tvalid_0's mape: 0.0089614\n",
      "[178000]\tvalid_0's mape: 0.0089612\n",
      "[180000]\tvalid_0's mape: 0.008961\n",
      "[182000]\tvalid_0's mape: 0.00896081\n",
      "[184000]\tvalid_0's mape: 0.00896062\n",
      "[186000]\tvalid_0's mape: 0.00896039\n",
      "[188000]\tvalid_0's mape: 0.00896022\n",
      "[190000]\tvalid_0's mape: 0.00896007\n",
      "[192000]\tvalid_0's mape: 0.00895988\n",
      "[194000]\tvalid_0's mape: 0.00895969\n",
      "[196000]\tvalid_0's mape: 0.00895953\n",
      "[198000]\tvalid_0's mape: 0.00895941\n",
      "[200000]\tvalid_0's mape: 0.00895924\n",
      "[202000]\tvalid_0's mape: 0.0089591\n",
      "[204000]\tvalid_0's mape: 0.00895898\n",
      "[206000]\tvalid_0's mape: 0.00895887\n",
      "[208000]\tvalid_0's mape: 0.00895874\n",
      "[210000]\tvalid_0's mape: 0.00895864\n",
      "[212000]\tvalid_0's mape: 0.00895851\n",
      "[214000]\tvalid_0's mape: 0.00895838\n",
      "[216000]\tvalid_0's mape: 0.00895823\n",
      "[218000]\tvalid_0's mape: 0.00895812\n",
      "[220000]\tvalid_0's mape: 0.00895801\n",
      "[222000]\tvalid_0's mape: 0.00895791\n",
      "[224000]\tvalid_0's mape: 0.0089578\n",
      "[226000]\tvalid_0's mape: 0.00895769\n",
      "[228000]\tvalid_0's mape: 0.00895764\n",
      "[230000]\tvalid_0's mape: 0.00895752\n",
      "[232000]\tvalid_0's mape: 0.00895744\n",
      "[234000]\tvalid_0's mape: 0.00895736\n",
      "[236000]\tvalid_0's mape: 0.00895724\n",
      "[238000]\tvalid_0's mape: 0.00895715\n",
      "[240000]\tvalid_0's mape: 0.00895708\n",
      "[242000]\tvalid_0's mape: 0.00895701\n",
      "[244000]\tvalid_0's mape: 0.00895691\n",
      "[246000]\tvalid_0's mape: 0.00895684\n",
      "[248000]\tvalid_0's mape: 0.00895675\n",
      "[250000]\tvalid_0's mape: 0.00895667\n",
      "[252000]\tvalid_0's mape: 0.00895662\n",
      "[254000]\tvalid_0's mape: 0.00895653\n",
      "[256000]\tvalid_0's mape: 0.00895647\n",
      "[258000]\tvalid_0's mape: 0.00895637\n",
      "[260000]\tvalid_0's mape: 0.0089563\n",
      "[262000]\tvalid_0's mape: 0.00895623\n",
      "[264000]\tvalid_0's mape: 0.00895618\n",
      "[266000]\tvalid_0's mape: 0.00895612\n",
      "[268000]\tvalid_0's mape: 0.00895602\n",
      "[270000]\tvalid_0's mape: 0.00895598\n",
      "[272000]\tvalid_0's mape: 0.00895592\n",
      "[274000]\tvalid_0's mape: 0.00895584\n",
      "[276000]\tvalid_0's mape: 0.00895576\n",
      "[278000]\tvalid_0's mape: 0.00895567\n",
      "[280000]\tvalid_0's mape: 0.00895562\n",
      "[282000]\tvalid_0's mape: 0.00895555\n",
      "[284000]\tvalid_0's mape: 0.0089555\n",
      "[286000]\tvalid_0's mape: 0.00895546\n",
      "[288000]\tvalid_0's mape: 0.0089554\n",
      "[290000]\tvalid_0's mape: 0.00895533\n",
      "[292000]\tvalid_0's mape: 0.00895526\n",
      "[294000]\tvalid_0's mape: 0.00895521\n",
      "[296000]\tvalid_0's mape: 0.00895517\n",
      "[298000]\tvalid_0's mape: 0.00895511\n",
      "[300000]\tvalid_0's mape: 0.00895508\n",
      "[302000]\tvalid_0's mape: 0.00895504\n",
      "[304000]\tvalid_0's mape: 0.00895498\n",
      "[306000]\tvalid_0's mape: 0.00895493\n",
      "[308000]\tvalid_0's mape: 0.00895487\n",
      "[310000]\tvalid_0's mape: 0.00895486\n",
      "[312000]\tvalid_0's mape: 0.0089548\n",
      "[314000]\tvalid_0's mape: 0.00895474\n",
      "[316000]\tvalid_0's mape: 0.00895473\n",
      "[318000]\tvalid_0's mape: 0.00895468\n",
      "[320000]\tvalid_0's mape: 0.00895464\n",
      "[322000]\tvalid_0's mape: 0.00895459\n",
      "[324000]\tvalid_0's mape: 0.00895455\n",
      "[326000]\tvalid_0's mape: 0.00895451\n",
      "[328000]\tvalid_0's mape: 0.00895447\n",
      "Early stopping, best iteration is:\n",
      "[328539]\tvalid_0's mape: 0.00895444\n",
      "(Fold 1) score, mse, mae, mape: 6034.87716, 0.03778, 0.11936, 0.00895.\n",
      "Training until validation scores don't improve for 1000 rounds.\n",
      "[2000]\tvalid_0's mape: 0.0156291\n",
      "[4000]\tvalid_0's mape: 0.0113548\n",
      "[6000]\tvalid_0's mape: 0.0104749\n",
      "[8000]\tvalid_0's mape: 0.0100817\n",
      "[10000]\tvalid_0's mape: 0.00984739\n",
      "[12000]\tvalid_0's mape: 0.00968826\n",
      "[14000]\tvalid_0's mape: 0.00957623\n",
      "[16000]\tvalid_0's mape: 0.00948905\n",
      "[18000]\tvalid_0's mape: 0.00942242\n",
      "[20000]\tvalid_0's mape: 0.00936804\n",
      "[22000]\tvalid_0's mape: 0.00932403\n",
      "[24000]\tvalid_0's mape: 0.00928834\n",
      "[26000]\tvalid_0's mape: 0.00925778\n",
      "[28000]\tvalid_0's mape: 0.00923142\n",
      "[30000]\tvalid_0's mape: 0.00920887\n",
      "[32000]\tvalid_0's mape: 0.00918874\n",
      "[34000]\tvalid_0's mape: 0.00917153\n",
      "[36000]\tvalid_0's mape: 0.00915592\n",
      "[38000]\tvalid_0's mape: 0.00914229\n",
      "[40000]\tvalid_0's mape: 0.00912985\n",
      "[42000]\tvalid_0's mape: 0.00911885\n",
      "[44000]\tvalid_0's mape: 0.00910927\n",
      "[46000]\tvalid_0's mape: 0.00910074\n",
      "[48000]\tvalid_0's mape: 0.009093\n",
      "[50000]\tvalid_0's mape: 0.00908633\n",
      "[52000]\tvalid_0's mape: 0.00907987\n",
      "[54000]\tvalid_0's mape: 0.0090739\n",
      "[56000]\tvalid_0's mape: 0.00906867\n",
      "[58000]\tvalid_0's mape: 0.00906402\n",
      "[60000]\tvalid_0's mape: 0.00905972\n",
      "[62000]\tvalid_0's mape: 0.00905563\n",
      "[64000]\tvalid_0's mape: 0.00905186\n",
      "[66000]\tvalid_0's mape: 0.00904837\n",
      "[68000]\tvalid_0's mape: 0.00904509\n",
      "[70000]\tvalid_0's mape: 0.00904211\n",
      "[72000]\tvalid_0's mape: 0.00903915\n",
      "[74000]\tvalid_0's mape: 0.00903668\n",
      "[76000]\tvalid_0's mape: 0.00903424\n",
      "[78000]\tvalid_0's mape: 0.00903201\n",
      "[80000]\tvalid_0's mape: 0.00902981\n",
      "[82000]\tvalid_0's mape: 0.00902793\n",
      "[84000]\tvalid_0's mape: 0.00902623\n",
      "[86000]\tvalid_0's mape: 0.00902451\n",
      "[88000]\tvalid_0's mape: 0.00902294\n",
      "[90000]\tvalid_0's mape: 0.00902145\n",
      "[92000]\tvalid_0's mape: 0.00902\n",
      "[94000]\tvalid_0's mape: 0.00901863\n",
      "[96000]\tvalid_0's mape: 0.00901733\n",
      "[98000]\tvalid_0's mape: 0.00901609\n",
      "[100000]\tvalid_0's mape: 0.00901495\n",
      "[102000]\tvalid_0's mape: 0.00901392\n",
      "[104000]\tvalid_0's mape: 0.00901295\n",
      "[106000]\tvalid_0's mape: 0.00901192\n",
      "[108000]\tvalid_0's mape: 0.00901104\n",
      "[110000]\tvalid_0's mape: 0.0090101\n",
      "[112000]\tvalid_0's mape: 0.00900923\n",
      "[114000]\tvalid_0's mape: 0.00900847\n",
      "[116000]\tvalid_0's mape: 0.00900776\n",
      "[118000]\tvalid_0's mape: 0.00900711\n",
      "[120000]\tvalid_0's mape: 0.00900639\n",
      "[122000]\tvalid_0's mape: 0.00900574\n",
      "[124000]\tvalid_0's mape: 0.00900514\n",
      "[126000]\tvalid_0's mape: 0.00900451\n",
      "[128000]\tvalid_0's mape: 0.00900392\n",
      "[130000]\tvalid_0's mape: 0.00900333\n",
      "[132000]\tvalid_0's mape: 0.00900279\n",
      "[134000]\tvalid_0's mape: 0.00900234\n",
      "[136000]\tvalid_0's mape: 0.0090018\n",
      "[138000]\tvalid_0's mape: 0.00900134\n",
      "[140000]\tvalid_0's mape: 0.00900092\n",
      "[142000]\tvalid_0's mape: 0.00900049\n",
      "[144000]\tvalid_0's mape: 0.00900006\n",
      "[146000]\tvalid_0's mape: 0.00899957\n",
      "[148000]\tvalid_0's mape: 0.00899919\n",
      "[150000]\tvalid_0's mape: 0.00899882\n",
      "[152000]\tvalid_0's mape: 0.00899851\n",
      "[154000]\tvalid_0's mape: 0.0089981\n",
      "[156000]\tvalid_0's mape: 0.00899773\n",
      "[158000]\tvalid_0's mape: 0.00899743\n",
      "[160000]\tvalid_0's mape: 0.00899711\n",
      "[162000]\tvalid_0's mape: 0.00899683\n",
      "[164000]\tvalid_0's mape: 0.00899659\n",
      "[166000]\tvalid_0's mape: 0.00899633\n",
      "[168000]\tvalid_0's mape: 0.00899606\n",
      "[170000]\tvalid_0's mape: 0.00899583\n",
      "[172000]\tvalid_0's mape: 0.00899557\n",
      "[174000]\tvalid_0's mape: 0.00899529\n",
      "[176000]\tvalid_0's mape: 0.00899502\n",
      "[178000]\tvalid_0's mape: 0.00899479\n",
      "[180000]\tvalid_0's mape: 0.00899454\n",
      "[182000]\tvalid_0's mape: 0.00899432\n",
      "[184000]\tvalid_0's mape: 0.00899416\n",
      "[186000]\tvalid_0's mape: 0.00899395\n",
      "[188000]\tvalid_0's mape: 0.00899377\n",
      "[190000]\tvalid_0's mape: 0.00899353\n",
      "[192000]\tvalid_0's mape: 0.00899337\n",
      "[194000]\tvalid_0's mape: 0.00899317\n",
      "[196000]\tvalid_0's mape: 0.00899302\n",
      "[198000]\tvalid_0's mape: 0.00899285\n",
      "[200000]\tvalid_0's mape: 0.00899269\n",
      "[202000]\tvalid_0's mape: 0.00899252\n",
      "[204000]\tvalid_0's mape: 0.00899238\n",
      "[206000]\tvalid_0's mape: 0.00899225\n",
      "[208000]\tvalid_0's mape: 0.00899208\n",
      "[210000]\tvalid_0's mape: 0.00899196\n",
      "[212000]\tvalid_0's mape: 0.0089918\n",
      "[214000]\tvalid_0's mape: 0.00899166\n",
      "[216000]\tvalid_0's mape: 0.00899155\n",
      "[218000]\tvalid_0's mape: 0.00899143\n",
      "[220000]\tvalid_0's mape: 0.0089913\n",
      "[222000]\tvalid_0's mape: 0.00899113\n",
      "[224000]\tvalid_0's mape: 0.00899098\n",
      "[226000]\tvalid_0's mape: 0.00899084\n",
      "[228000]\tvalid_0's mape: 0.00899069\n",
      "[230000]\tvalid_0's mape: 0.00899055\n",
      "[232000]\tvalid_0's mape: 0.00899045\n",
      "[234000]\tvalid_0's mape: 0.00899032\n",
      "[236000]\tvalid_0's mape: 0.00899021\n",
      "[238000]\tvalid_0's mape: 0.00899011\n",
      "[240000]\tvalid_0's mape: 0.00899002\n",
      "[242000]\tvalid_0's mape: 0.00898994\n",
      "[244000]\tvalid_0's mape: 0.00898983\n",
      "[246000]\tvalid_0's mape: 0.00898972\n",
      "[248000]\tvalid_0's mape: 0.00898963\n",
      "[250000]\tvalid_0's mape: 0.00898956\n",
      "[252000]\tvalid_0's mape: 0.00898947\n",
      "[254000]\tvalid_0's mape: 0.0089894\n",
      "[256000]\tvalid_0's mape: 0.00898931\n",
      "[258000]\tvalid_0's mape: 0.00898924\n",
      "[260000]\tvalid_0's mape: 0.00898912\n",
      "[262000]\tvalid_0's mape: 0.00898902\n",
      "[264000]\tvalid_0's mape: 0.00898894\n",
      "[266000]\tvalid_0's mape: 0.00898885\n",
      "[268000]\tvalid_0's mape: 0.00898879\n",
      "[270000]\tvalid_0's mape: 0.00898871\n",
      "[272000]\tvalid_0's mape: 0.00898863\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[274000]\tvalid_0's mape: 0.00898857\n",
      "[276000]\tvalid_0's mape: 0.00898849\n",
      "[278000]\tvalid_0's mape: 0.00898843\n",
      "[280000]\tvalid_0's mape: 0.00898834\n",
      "[282000]\tvalid_0's mape: 0.00898827\n",
      "[284000]\tvalid_0's mape: 0.00898818\n",
      "[286000]\tvalid_0's mape: 0.00898811\n",
      "[288000]\tvalid_0's mape: 0.00898804\n",
      "[290000]\tvalid_0's mape: 0.00898796\n",
      "[292000]\tvalid_0's mape: 0.00898788\n",
      "[294000]\tvalid_0's mape: 0.00898779\n",
      "[296000]\tvalid_0's mape: 0.00898772\n",
      "[298000]\tvalid_0's mape: 0.00898769\n",
      "[300000]\tvalid_0's mape: 0.00898762\n",
      "[302000]\tvalid_0's mape: 0.00898755\n",
      "[304000]\tvalid_0's mape: 0.00898748\n",
      "[306000]\tvalid_0's mape: 0.00898741\n",
      "[308000]\tvalid_0's mape: 0.00898737\n",
      "[310000]\tvalid_0's mape: 0.00898732\n",
      "[312000]\tvalid_0's mape: 0.00898727\n",
      "[314000]\tvalid_0's mape: 0.00898722\n",
      "[316000]\tvalid_0's mape: 0.00898716\n",
      "[318000]\tvalid_0's mape: 0.00898713\n",
      "[320000]\tvalid_0's mape: 0.00898707\n",
      "[322000]\tvalid_0's mape: 0.00898701\n",
      "[324000]\tvalid_0's mape: 0.00898696\n",
      "[326000]\tvalid_0's mape: 0.00898692\n",
      "[328000]\tvalid_0's mape: 0.00898687\n",
      "[330000]\tvalid_0's mape: 0.00898683\n",
      "[332000]\tvalid_0's mape: 0.00898679\n",
      "[334000]\tvalid_0's mape: 0.00898674\n",
      "[336000]\tvalid_0's mape: 0.00898669\n",
      "[338000]\tvalid_0's mape: 0.00898665\n",
      "[340000]\tvalid_0's mape: 0.00898658\n",
      "[342000]\tvalid_0's mape: 0.00898655\n",
      "[344000]\tvalid_0's mape: 0.0089865\n",
      "[346000]\tvalid_0's mape: 0.00898646\n",
      "[348000]\tvalid_0's mape: 0.00898638\n",
      "[350000]\tvalid_0's mape: 0.00898635\n",
      "[352000]\tvalid_0's mape: 0.00898633\n",
      "[354000]\tvalid_0's mape: 0.00898628\n",
      "[356000]\tvalid_0's mape: 0.00898624\n",
      "[358000]\tvalid_0's mape: 0.00898619\n",
      "[360000]\tvalid_0's mape: 0.00898615\n",
      "[362000]\tvalid_0's mape: 0.00898611\n",
      "[364000]\tvalid_0's mape: 0.00898606\n",
      "[366000]\tvalid_0's mape: 0.00898603\n",
      "Early stopping, best iteration is:\n",
      "[366008]\tvalid_0's mape: 0.00898603\n",
      "(Fold 2) score, mse, mae, mape: 6018.87408, 0.03775, 0.11951, 0.00898.\n",
      "Training until validation scores don't improve for 1000 rounds.\n",
      "[2000]\tvalid_0's mape: 0.0156625\n",
      "[4000]\tvalid_0's mape: 0.0114418\n",
      "[6000]\tvalid_0's mape: 0.0106\n",
      "[8000]\tvalid_0's mape: 0.0102093\n",
      "[10000]\tvalid_0's mape: 0.00996776\n",
      "[12000]\tvalid_0's mape: 0.00980173\n",
      "[14000]\tvalid_0's mape: 0.00968101\n",
      "[16000]\tvalid_0's mape: 0.00958775\n",
      "[18000]\tvalid_0's mape: 0.00951521\n",
      "[20000]\tvalid_0's mape: 0.00945616\n",
      "[22000]\tvalid_0's mape: 0.00940698\n",
      "[24000]\tvalid_0's mape: 0.00936679\n",
      "[26000]\tvalid_0's mape: 0.00933189\n",
      "[28000]\tvalid_0's mape: 0.00930267\n",
      "[30000]\tvalid_0's mape: 0.00927705\n",
      "[32000]\tvalid_0's mape: 0.00925428\n",
      "[34000]\tvalid_0's mape: 0.00923535\n",
      "[36000]\tvalid_0's mape: 0.00921773\n",
      "[38000]\tvalid_0's mape: 0.00920165\n",
      "[40000]\tvalid_0's mape: 0.00918793\n",
      "[42000]\tvalid_0's mape: 0.00917566\n",
      "[44000]\tvalid_0's mape: 0.00916467\n",
      "[46000]\tvalid_0's mape: 0.00915449\n",
      "[48000]\tvalid_0's mape: 0.00914534\n",
      "[50000]\tvalid_0's mape: 0.00913693\n",
      "[52000]\tvalid_0's mape: 0.00912931\n",
      "[54000]\tvalid_0's mape: 0.00912249\n",
      "[56000]\tvalid_0's mape: 0.00911598\n",
      "[58000]\tvalid_0's mape: 0.00910995\n",
      "[60000]\tvalid_0's mape: 0.00910429\n",
      "[62000]\tvalid_0's mape: 0.00909902\n",
      "[64000]\tvalid_0's mape: 0.00909424\n",
      "[66000]\tvalid_0's mape: 0.00908998\n",
      "[68000]\tvalid_0's mape: 0.00908611\n",
      "[70000]\tvalid_0's mape: 0.00908216\n",
      "[72000]\tvalid_0's mape: 0.00907871\n",
      "[74000]\tvalid_0's mape: 0.00907546\n",
      "[76000]\tvalid_0's mape: 0.00907238\n",
      "[78000]\tvalid_0's mape: 0.0090696\n",
      "[80000]\tvalid_0's mape: 0.00906674\n",
      "[82000]\tvalid_0's mape: 0.00906443\n",
      "[84000]\tvalid_0's mape: 0.0090621\n",
      "[86000]\tvalid_0's mape: 0.00905992\n",
      "[88000]\tvalid_0's mape: 0.00905789\n",
      "[90000]\tvalid_0's mape: 0.00905591\n",
      "[92000]\tvalid_0's mape: 0.00905411\n",
      "[94000]\tvalid_0's mape: 0.00905229\n",
      "[96000]\tvalid_0's mape: 0.00905072\n",
      "[98000]\tvalid_0's mape: 0.00904912\n",
      "[100000]\tvalid_0's mape: 0.00904757\n",
      "[102000]\tvalid_0's mape: 0.00904617\n",
      "[104000]\tvalid_0's mape: 0.00904483\n",
      "[106000]\tvalid_0's mape: 0.00904346\n",
      "[108000]\tvalid_0's mape: 0.00904225\n",
      "[110000]\tvalid_0's mape: 0.00904104\n",
      "[112000]\tvalid_0's mape: 0.00904\n",
      "[114000]\tvalid_0's mape: 0.00903887\n",
      "[116000]\tvalid_0's mape: 0.00903793\n",
      "[118000]\tvalid_0's mape: 0.00903704\n",
      "[120000]\tvalid_0's mape: 0.00903616\n",
      "[122000]\tvalid_0's mape: 0.00903529\n",
      "[124000]\tvalid_0's mape: 0.00903447\n",
      "[126000]\tvalid_0's mape: 0.00903379\n",
      "[128000]\tvalid_0's mape: 0.009033\n",
      "[130000]\tvalid_0's mape: 0.00903235\n",
      "[132000]\tvalid_0's mape: 0.00903161\n",
      "[134000]\tvalid_0's mape: 0.00903096\n",
      "[136000]\tvalid_0's mape: 0.00903031\n",
      "[138000]\tvalid_0's mape: 0.00902967\n",
      "[140000]\tvalid_0's mape: 0.00902905\n",
      "[142000]\tvalid_0's mape: 0.00902848\n",
      "[144000]\tvalid_0's mape: 0.00902793\n",
      "[146000]\tvalid_0's mape: 0.00902742\n",
      "[148000]\tvalid_0's mape: 0.00902694\n",
      "[150000]\tvalid_0's mape: 0.00902646\n",
      "[152000]\tvalid_0's mape: 0.00902603\n",
      "[154000]\tvalid_0's mape: 0.00902559\n",
      "[156000]\tvalid_0's mape: 0.00902516\n",
      "[158000]\tvalid_0's mape: 0.00902475\n",
      "[160000]\tvalid_0's mape: 0.00902432\n",
      "[162000]\tvalid_0's mape: 0.00902384\n",
      "[164000]\tvalid_0's mape: 0.00902353\n",
      "[166000]\tvalid_0's mape: 0.00902311\n",
      "[168000]\tvalid_0's mape: 0.00902285\n",
      "[170000]\tvalid_0's mape: 0.00902244\n",
      "[172000]\tvalid_0's mape: 0.00902211\n",
      "[174000]\tvalid_0's mape: 0.00902179\n",
      "[176000]\tvalid_0's mape: 0.00902149\n",
      "[178000]\tvalid_0's mape: 0.00902119\n",
      "[180000]\tvalid_0's mape: 0.00902086\n",
      "[182000]\tvalid_0's mape: 0.00902058\n",
      "[184000]\tvalid_0's mape: 0.00902033\n",
      "[186000]\tvalid_0's mape: 0.00902011\n",
      "[188000]\tvalid_0's mape: 0.00901983\n",
      "[190000]\tvalid_0's mape: 0.00901957\n",
      "[192000]\tvalid_0's mape: 0.00901929\n",
      "[194000]\tvalid_0's mape: 0.00901905\n",
      "[196000]\tvalid_0's mape: 0.00901878\n",
      "[198000]\tvalid_0's mape: 0.00901858\n",
      "[200000]\tvalid_0's mape: 0.00901838\n",
      "[202000]\tvalid_0's mape: 0.00901819\n",
      "[204000]\tvalid_0's mape: 0.00901796\n",
      "[206000]\tvalid_0's mape: 0.00901777\n",
      "[208000]\tvalid_0's mape: 0.00901759\n",
      "[210000]\tvalid_0's mape: 0.00901738\n",
      "[212000]\tvalid_0's mape: 0.00901723\n",
      "[214000]\tvalid_0's mape: 0.009017\n",
      "[216000]\tvalid_0's mape: 0.00901683\n",
      "[218000]\tvalid_0's mape: 0.0090166\n",
      "[220000]\tvalid_0's mape: 0.00901643\n",
      "[222000]\tvalid_0's mape: 0.00901622\n",
      "[224000]\tvalid_0's mape: 0.00901606\n",
      "[226000]\tvalid_0's mape: 0.00901588\n",
      "[228000]\tvalid_0's mape: 0.00901573\n",
      "[230000]\tvalid_0's mape: 0.00901557\n",
      "[232000]\tvalid_0's mape: 0.00901544\n",
      "[234000]\tvalid_0's mape: 0.0090153\n",
      "[236000]\tvalid_0's mape: 0.00901513\n",
      "[238000]\tvalid_0's mape: 0.00901502\n",
      "[240000]\tvalid_0's mape: 0.00901485\n",
      "[242000]\tvalid_0's mape: 0.00901473\n",
      "[244000]\tvalid_0's mape: 0.00901459\n",
      "[246000]\tvalid_0's mape: 0.00901449\n",
      "[248000]\tvalid_0's mape: 0.00901436\n",
      "[250000]\tvalid_0's mape: 0.00901425\n",
      "[252000]\tvalid_0's mape: 0.00901414\n",
      "[254000]\tvalid_0's mape: 0.00901403\n",
      "[256000]\tvalid_0's mape: 0.00901393\n",
      "[258000]\tvalid_0's mape: 0.0090138\n",
      "[260000]\tvalid_0's mape: 0.00901369\n",
      "[262000]\tvalid_0's mape: 0.00901353\n",
      "[264000]\tvalid_0's mape: 0.00901343\n",
      "[266000]\tvalid_0's mape: 0.00901334\n",
      "[268000]\tvalid_0's mape: 0.00901322\n",
      "[270000]\tvalid_0's mape: 0.00901314\n",
      "[272000]\tvalid_0's mape: 0.00901303\n",
      "[274000]\tvalid_0's mape: 0.00901296\n",
      "[276000]\tvalid_0's mape: 0.00901292\n",
      "[278000]\tvalid_0's mape: 0.0090128\n",
      "[280000]\tvalid_0's mape: 0.00901272\n",
      "[282000]\tvalid_0's mape: 0.00901265\n",
      "[284000]\tvalid_0's mape: 0.00901257\n",
      "[286000]\tvalid_0's mape: 0.00901247\n",
      "[288000]\tvalid_0's mape: 0.00901239\n",
      "[290000]\tvalid_0's mape: 0.00901232\n",
      "[292000]\tvalid_0's mape: 0.00901223\n",
      "[294000]\tvalid_0's mape: 0.00901217\n",
      "[296000]\tvalid_0's mape: 0.00901209\n",
      "[298000]\tvalid_0's mape: 0.00901202\n",
      "[300000]\tvalid_0's mape: 0.00901194\n",
      "[302000]\tvalid_0's mape: 0.00901184\n",
      "[304000]\tvalid_0's mape: 0.00901177\n",
      "[306000]\tvalid_0's mape: 0.00901171\n",
      "[308000]\tvalid_0's mape: 0.00901167\n",
      "[310000]\tvalid_0's mape: 0.00901162\n",
      "[312000]\tvalid_0's mape: 0.00901153\n",
      "[314000]\tvalid_0's mape: 0.00901149\n",
      "[316000]\tvalid_0's mape: 0.0090114\n",
      "[318000]\tvalid_0's mape: 0.00901132\n",
      "[320000]\tvalid_0's mape: 0.00901128\n",
      "[322000]\tvalid_0's mape: 0.00901121\n",
      "[324000]\tvalid_0's mape: 0.00901118\n",
      "[326000]\tvalid_0's mape: 0.00901111\n",
      "[328000]\tvalid_0's mape: 0.00901105\n",
      "[330000]\tvalid_0's mape: 0.00901098\n",
      "[332000]\tvalid_0's mape: 0.00901092\n",
      "[334000]\tvalid_0's mape: 0.00901088\n",
      "[336000]\tvalid_0's mape: 0.00901082\n",
      "[338000]\tvalid_0's mape: 0.00901078\n",
      "[340000]\tvalid_0's mape: 0.00901072\n",
      "[342000]\tvalid_0's mape: 0.00901066\n",
      "[344000]\tvalid_0's mape: 0.00901059\n",
      "[346000]\tvalid_0's mape: 0.00901055\n",
      "[348000]\tvalid_0's mape: 0.00901049\n",
      "[350000]\tvalid_0's mape: 0.00901045\n",
      "[352000]\tvalid_0's mape: 0.0090104\n",
      "[354000]\tvalid_0's mape: 0.00901034\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[356000]\tvalid_0's mape: 0.00901028\n",
      "[358000]\tvalid_0's mape: 0.00901024\n",
      "[360000]\tvalid_0's mape: 0.00901019\n",
      "[362000]\tvalid_0's mape: 0.00901016\n",
      "[364000]\tvalid_0's mape: 0.00901011\n",
      "[366000]\tvalid_0's mape: 0.00901008\n",
      "[368000]\tvalid_0's mape: 0.00901003\n",
      "[370000]\tvalid_0's mape: 0.00900996\n",
      "[372000]\tvalid_0's mape: 0.00900992\n",
      "[374000]\tvalid_0's mape: 0.00900985\n",
      "[376000]\tvalid_0's mape: 0.00900981\n",
      "[378000]\tvalid_0's mape: 0.00900978\n",
      "[380000]\tvalid_0's mape: 0.00900972\n",
      "[382000]\tvalid_0's mape: 0.00900967\n",
      "[384000]\tvalid_0's mape: 0.00900962\n",
      "[386000]\tvalid_0's mape: 0.00900958\n",
      "[388000]\tvalid_0's mape: 0.00900957\n",
      "[390000]\tvalid_0's mape: 0.00900956\n",
      "[392000]\tvalid_0's mape: 0.0090095\n",
      "[394000]\tvalid_0's mape: 0.00900946\n",
      "[396000]\tvalid_0's mape: 0.00900942\n",
      "[398000]\tvalid_0's mape: 0.00900937\n",
      "Early stopping, best iteration is:\n",
      "[398074]\tvalid_0's mape: 0.00900937\n",
      "(Fold 3) score, mse, mae, mape: 6002.87670, 0.03717, 0.11996, 0.00901.\n",
      "Training until validation scores don't improve for 1000 rounds.\n",
      "[2000]\tvalid_0's mape: 0.0159636\n",
      "[4000]\tvalid_0's mape: 0.0114534\n",
      "[6000]\tvalid_0's mape: 0.0105157\n",
      "[8000]\tvalid_0's mape: 0.0100939\n",
      "[10000]\tvalid_0's mape: 0.00983966\n",
      "[12000]\tvalid_0's mape: 0.00967001\n",
      "[14000]\tvalid_0's mape: 0.00954846\n",
      "[16000]\tvalid_0's mape: 0.00945646\n",
      "[18000]\tvalid_0's mape: 0.00938502\n",
      "[20000]\tvalid_0's mape: 0.00932819\n",
      "[22000]\tvalid_0's mape: 0.00928168\n",
      "[24000]\tvalid_0's mape: 0.00924269\n",
      "[26000]\tvalid_0's mape: 0.00920949\n",
      "[28000]\tvalid_0's mape: 0.00918145\n",
      "[30000]\tvalid_0's mape: 0.0091575\n",
      "[32000]\tvalid_0's mape: 0.00913669\n",
      "[34000]\tvalid_0's mape: 0.00911865\n",
      "[36000]\tvalid_0's mape: 0.00910225\n",
      "[38000]\tvalid_0's mape: 0.00908784\n",
      "[40000]\tvalid_0's mape: 0.00907513\n",
      "[42000]\tvalid_0's mape: 0.00906392\n",
      "[44000]\tvalid_0's mape: 0.00905394\n",
      "[46000]\tvalid_0's mape: 0.00904506\n",
      "[48000]\tvalid_0's mape: 0.00903703\n",
      "[50000]\tvalid_0's mape: 0.0090297\n",
      "[52000]\tvalid_0's mape: 0.00902322\n",
      "[54000]\tvalid_0's mape: 0.00901702\n",
      "[56000]\tvalid_0's mape: 0.00901167\n",
      "[58000]\tvalid_0's mape: 0.00900658\n",
      "[60000]\tvalid_0's mape: 0.00900195\n",
      "[62000]\tvalid_0's mape: 0.00899757\n",
      "[64000]\tvalid_0's mape: 0.00899384\n",
      "[66000]\tvalid_0's mape: 0.00899019\n",
      "[68000]\tvalid_0's mape: 0.00898686\n",
      "[70000]\tvalid_0's mape: 0.00898393\n",
      "[72000]\tvalid_0's mape: 0.00898118\n",
      "[74000]\tvalid_0's mape: 0.00897867\n",
      "[76000]\tvalid_0's mape: 0.00897628\n",
      "[78000]\tvalid_0's mape: 0.00897406\n",
      "[80000]\tvalid_0's mape: 0.0089718\n",
      "[82000]\tvalid_0's mape: 0.00896977\n",
      "[84000]\tvalid_0's mape: 0.00896782\n",
      "[86000]\tvalid_0's mape: 0.0089661\n",
      "[88000]\tvalid_0's mape: 0.00896427\n",
      "[90000]\tvalid_0's mape: 0.00896277\n",
      "[92000]\tvalid_0's mape: 0.00896142\n",
      "[94000]\tvalid_0's mape: 0.00896006\n",
      "[96000]\tvalid_0's mape: 0.00895872\n",
      "[98000]\tvalid_0's mape: 0.00895746\n",
      "[100000]\tvalid_0's mape: 0.00895625\n",
      "[102000]\tvalid_0's mape: 0.00895516\n",
      "[104000]\tvalid_0's mape: 0.00895405\n",
      "[106000]\tvalid_0's mape: 0.00895317\n",
      "[108000]\tvalid_0's mape: 0.00895217\n",
      "[110000]\tvalid_0's mape: 0.0089514\n",
      "[112000]\tvalid_0's mape: 0.00895068\n",
      "[114000]\tvalid_0's mape: 0.00894991\n",
      "[116000]\tvalid_0's mape: 0.00894914\n",
      "[118000]\tvalid_0's mape: 0.0089485\n",
      "[120000]\tvalid_0's mape: 0.00894789\n",
      "[122000]\tvalid_0's mape: 0.00894721\n",
      "[124000]\tvalid_0's mape: 0.0089467\n",
      "[126000]\tvalid_0's mape: 0.00894606\n",
      "[128000]\tvalid_0's mape: 0.00894545\n",
      "[130000]\tvalid_0's mape: 0.00894483\n",
      "[132000]\tvalid_0's mape: 0.00894433\n",
      "[134000]\tvalid_0's mape: 0.0089438\n",
      "[136000]\tvalid_0's mape: 0.00894342\n",
      "[138000]\tvalid_0's mape: 0.00894297\n",
      "[140000]\tvalid_0's mape: 0.00894257\n",
      "[142000]\tvalid_0's mape: 0.00894212\n",
      "[144000]\tvalid_0's mape: 0.00894168\n",
      "[146000]\tvalid_0's mape: 0.00894126\n",
      "[148000]\tvalid_0's mape: 0.0089409\n",
      "[150000]\tvalid_0's mape: 0.00894054\n",
      "[152000]\tvalid_0's mape: 0.00894021\n",
      "[154000]\tvalid_0's mape: 0.0089399\n",
      "[156000]\tvalid_0's mape: 0.00893963\n",
      "[158000]\tvalid_0's mape: 0.00893936\n",
      "[160000]\tvalid_0's mape: 0.00893905\n",
      "[162000]\tvalid_0's mape: 0.00893878\n",
      "[164000]\tvalid_0's mape: 0.00893854\n",
      "[166000]\tvalid_0's mape: 0.00893824\n",
      "[168000]\tvalid_0's mape: 0.00893794\n",
      "[170000]\tvalid_0's mape: 0.00893773\n",
      "[172000]\tvalid_0's mape: 0.00893747\n",
      "[174000]\tvalid_0's mape: 0.00893731\n",
      "[176000]\tvalid_0's mape: 0.00893708\n",
      "[178000]\tvalid_0's mape: 0.00893686\n",
      "[180000]\tvalid_0's mape: 0.00893666\n",
      "[182000]\tvalid_0's mape: 0.00893649\n",
      "[184000]\tvalid_0's mape: 0.00893629\n",
      "[186000]\tvalid_0's mape: 0.00893606\n",
      "[188000]\tvalid_0's mape: 0.00893587\n",
      "[190000]\tvalid_0's mape: 0.00893568\n",
      "[192000]\tvalid_0's mape: 0.0089355\n",
      "[194000]\tvalid_0's mape: 0.00893534\n",
      "[196000]\tvalid_0's mape: 0.00893517\n",
      "[198000]\tvalid_0's mape: 0.00893502\n",
      "[200000]\tvalid_0's mape: 0.00893487\n",
      "[202000]\tvalid_0's mape: 0.00893475\n",
      "[204000]\tvalid_0's mape: 0.00893459\n",
      "[206000]\tvalid_0's mape: 0.00893443\n",
      "[208000]\tvalid_0's mape: 0.00893432\n",
      "[210000]\tvalid_0's mape: 0.00893418\n",
      "[212000]\tvalid_0's mape: 0.00893404\n",
      "[214000]\tvalid_0's mape: 0.0089339\n",
      "[216000]\tvalid_0's mape: 0.00893382\n",
      "[218000]\tvalid_0's mape: 0.00893371\n",
      "[220000]\tvalid_0's mape: 0.00893357\n",
      "[222000]\tvalid_0's mape: 0.00893348\n",
      "[224000]\tvalid_0's mape: 0.00893334\n",
      "[226000]\tvalid_0's mape: 0.00893328\n",
      "[228000]\tvalid_0's mape: 0.00893318\n",
      "[230000]\tvalid_0's mape: 0.00893306\n",
      "[232000]\tvalid_0's mape: 0.00893296\n",
      "[234000]\tvalid_0's mape: 0.00893286\n",
      "[236000]\tvalid_0's mape: 0.00893277\n",
      "[238000]\tvalid_0's mape: 0.00893266\n",
      "[240000]\tvalid_0's mape: 0.00893257\n",
      "[242000]\tvalid_0's mape: 0.00893249\n",
      "[244000]\tvalid_0's mape: 0.00893242\n",
      "[246000]\tvalid_0's mape: 0.00893233\n",
      "[248000]\tvalid_0's mape: 0.00893229\n",
      "[250000]\tvalid_0's mape: 0.00893218\n",
      "[252000]\tvalid_0's mape: 0.00893211\n",
      "Early stopping, best iteration is:\n",
      "[251513]\tvalid_0's mape: 0.00893211\n",
      "(Fold 4) score, mse, mae, mape: 5958.87525, 0.03678, 0.11887, 0.00893.\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",
    "    if rm_outlier:\n",
    "        df_train = df_train.merge(training_buildings, on='building_id', how='inner').reset_index()\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": "markdown",
   "metadata": {},
   "source": [
    "42s per 2000 - ETA (all): 1,924,664 iters = 11.2 hours"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total run time: 54230.25604391098\n"
     ]
    }
   ],
   "source": [
    "print('Total run time:', time.time() - t0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Kfold cv score (mean, stdev): 5989.876236269576 37.76727622440563\n"
     ]
    }
   ],
   "source": [
    "print('Kfold cv score (mean, stdev):', np.mean(scores), np.std(scores)) # 5868.87314"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "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>15.109804</td>\n",
       "      <td>15.131989</td>\n",
       "      <td>15.101721</td>\n",
       "      <td>15.174467</td>\n",
       "      <td>15.075277</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>BTshNOJyKHnT2YIT</td>\n",
       "      <td>13.137399</td>\n",
       "      <td>13.113963</td>\n",
       "      <td>13.131788</td>\n",
       "      <td>13.132877</td>\n",
       "      <td>13.135185</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>dhdymr0lV8N5kZOT</td>\n",
       "      <td>13.645404</td>\n",
       "      <td>13.667705</td>\n",
       "      <td>13.664046</td>\n",
       "      <td>13.641253</td>\n",
       "      <td>13.662108</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>VEwyGGMcD56w5BOc</td>\n",
       "      <td>14.820473</td>\n",
       "      <td>14.824438</td>\n",
       "      <td>14.788890</td>\n",
       "      <td>14.830765</td>\n",
       "      <td>14.784735</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>wmUeMoJZfsqaSX9b</td>\n",
       "      <td>12.141522</td>\n",
       "      <td>12.123945</td>\n",
       "      <td>12.072386</td>\n",
       "      <td>12.176731</td>\n",
       "      <td>12.175978</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  15.109804  15.131989  15.101721  15.174467  15.075277\n",
       "1  BTshNOJyKHnT2YIT  13.137399  13.113963  13.131788  13.132877  13.135185\n",
       "2  dhdymr0lV8N5kZOT  13.645404  13.667705  13.664046  13.641253  13.662108\n",
       "3  VEwyGGMcD56w5BOc  14.820473  14.824438  14.788890  14.830765  14.784735\n",
       "4  wmUeMoJZfsqaSX9b  12.141522  12.123945  12.072386  12.176731  12.175978"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "predicts_test.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "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": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Best iterations: [297368, 328539, 366008, 398074, 251513]\n",
      "Mean best iterations: 328300\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": 20,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'num_boost_round': 393960, 'verbose_eval': 2000}"
      ]
     },
     "execution_count": 20,
     "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": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'task': 'train',\n",
       " 'boosting_type': 'gbdt',\n",
       " 'objective': 'mse',\n",
       " 'metric': 'mape',\n",
       " 'learning_rate': 0.001,\n",
       " 'max_depth': 24,\n",
       " 'num_leaves': 279,\n",
       " 'feature_fraction': 0.45,\n",
       " 'min_data_in_leaf': 8,\n",
       " 'lambda_l1': 0.07,\n",
       " 'lambda_l2': 0.01,\n",
       " 'seed': 666,\n",
       " 'bagging_freq': 8,\n",
       " 'bagging_fraction': 0.8}"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "params"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2000]\ttraining's mape: 0.0135856\n",
      "[4000]\ttraining's mape: 0.00831374\n",
      "[6000]\ttraining's mape: 0.0068711\n",
      "[8000]\ttraining's mape: 0.00603266\n",
      "[10000]\ttraining's mape: 0.00542991\n",
      "[12000]\ttraining's mape: 0.00496225\n",
      "[14000]\ttraining's mape: 0.00458192\n",
      "[16000]\ttraining's mape: 0.00425746\n",
      "[18000]\ttraining's mape: 0.00397963\n",
      "[20000]\ttraining's mape: 0.00373222\n",
      "[22000]\ttraining's mape: 0.00351371\n",
      "[24000]\ttraining's mape: 0.00331732\n",
      "[26000]\ttraining's mape: 0.00313851\n",
      "[28000]\ttraining's mape: 0.00297603\n",
      "[30000]\ttraining's mape: 0.00282747\n",
      "[32000]\ttraining's mape: 0.00269055\n",
      "[34000]\ttraining's mape: 0.00256302\n",
      "[36000]\ttraining's mape: 0.0024455\n",
      "[38000]\ttraining's mape: 0.00233714\n",
      "[40000]\ttraining's mape: 0.00223547\n",
      "[42000]\ttraining's mape: 0.0021408\n",
      "[44000]\ttraining's mape: 0.00205278\n",
      "[46000]\ttraining's mape: 0.0019702\n",
      "[48000]\ttraining's mape: 0.00189228\n",
      "[50000]\ttraining's mape: 0.0018189\n",
      "[52000]\ttraining's mape: 0.00174925\n",
      "[54000]\ttraining's mape: 0.00168394\n",
      "[56000]\ttraining's mape: 0.00162278\n",
      "[58000]\ttraining's mape: 0.0015643\n",
      "[60000]\ttraining's mape: 0.00150968\n",
      "[62000]\ttraining's mape: 0.00145695\n",
      "[64000]\ttraining's mape: 0.00140814\n",
      "[66000]\ttraining's mape: 0.00136146\n",
      "[68000]\ttraining's mape: 0.0013178\n",
      "[70000]\ttraining's mape: 0.00127552\n",
      "[72000]\ttraining's mape: 0.00123483\n",
      "[74000]\ttraining's mape: 0.00119714\n",
      "[76000]\ttraining's mape: 0.00116089\n",
      "[78000]\ttraining's mape: 0.00112617\n",
      "[80000]\ttraining's mape: 0.00109302\n",
      "[82000]\ttraining's mape: 0.00106176\n",
      "[84000]\ttraining's mape: 0.0010314\n",
      "[86000]\ttraining's mape: 0.00100216\n",
      "[88000]\ttraining's mape: 0.000974893\n",
      "[90000]\ttraining's mape: 0.000948521\n",
      "[92000]\ttraining's mape: 0.000923285\n",
      "[94000]\ttraining's mape: 0.000899018\n",
      "[96000]\ttraining's mape: 0.000875946\n",
      "[98000]\ttraining's mape: 0.000854355\n",
      "[100000]\ttraining's mape: 0.000833206\n",
      "[102000]\ttraining's mape: 0.0008129\n",
      "[104000]\ttraining's mape: 0.000793691\n",
      "[106000]\ttraining's mape: 0.000775148\n",
      "[108000]\ttraining's mape: 0.000757325\n",
      "[110000]\ttraining's mape: 0.000739993\n",
      "[112000]\ttraining's mape: 0.00072348\n",
      "[114000]\ttraining's mape: 0.000707606\n",
      "[116000]\ttraining's mape: 0.000691995\n",
      "[118000]\ttraining's mape: 0.000677101\n",
      "[120000]\ttraining's mape: 0.000662665\n",
      "[122000]\ttraining's mape: 0.000648917\n",
      "[124000]\ttraining's mape: 0.000636007\n",
      "[126000]\ttraining's mape: 0.000623441\n",
      "[128000]\ttraining's mape: 0.00061082\n",
      "[130000]\ttraining's mape: 0.000598862\n",
      "[132000]\ttraining's mape: 0.000587109\n",
      "[134000]\ttraining's mape: 0.000575892\n",
      "[136000]\ttraining's mape: 0.000565216\n",
      "[138000]\ttraining's mape: 0.000554633\n",
      "[140000]\ttraining's mape: 0.000544451\n",
      "[142000]\ttraining's mape: 0.000534768\n",
      "[144000]\ttraining's mape: 0.000525259\n",
      "[146000]\ttraining's mape: 0.000515803\n",
      "[148000]\ttraining's mape: 0.000506777\n",
      "[150000]\ttraining's mape: 0.00049815\n",
      "[152000]\ttraining's mape: 0.000489888\n",
      "[154000]\ttraining's mape: 0.000481884\n",
      "[156000]\ttraining's mape: 0.000473894\n",
      "[158000]\ttraining's mape: 0.000466121\n",
      "[160000]\ttraining's mape: 0.000458725\n",
      "[162000]\ttraining's mape: 0.000451357\n",
      "[164000]\ttraining's mape: 0.000444324\n",
      "[166000]\ttraining's mape: 0.000437467\n",
      "[168000]\ttraining's mape: 0.000430906\n",
      "[170000]\ttraining's mape: 0.000424427\n",
      "[172000]\ttraining's mape: 0.000418089\n",
      "[174000]\ttraining's mape: 0.000412017\n",
      "[176000]\ttraining's mape: 0.000405884\n",
      "[178000]\ttraining's mape: 0.000400297\n",
      "[180000]\ttraining's mape: 0.000394648\n",
      "[182000]\ttraining's mape: 0.000389154\n",
      "[184000]\ttraining's mape: 0.000383806\n",
      "[186000]\ttraining's mape: 0.000378568\n",
      "[188000]\ttraining's mape: 0.000373499\n",
      "[190000]\ttraining's mape: 0.000368575\n",
      "[192000]\ttraining's mape: 0.000363809\n",
      "[194000]\ttraining's mape: 0.000359067\n",
      "[196000]\ttraining's mape: 0.000354426\n",
      "[198000]\ttraining's mape: 0.00034994\n",
      "[200000]\ttraining's mape: 0.000345583\n",
      "[202000]\ttraining's mape: 0.000341341\n",
      "[204000]\ttraining's mape: 0.000337187\n",
      "[206000]\ttraining's mape: 0.00033316\n",
      "[208000]\ttraining's mape: 0.000329171\n",
      "[210000]\ttraining's mape: 0.000325233\n",
      "[212000]\ttraining's mape: 0.000321453\n",
      "[214000]\ttraining's mape: 0.000317731\n",
      "[216000]\ttraining's mape: 0.000314021\n",
      "[218000]\ttraining's mape: 0.000310498\n",
      "[220000]\ttraining's mape: 0.00030712\n",
      "[222000]\ttraining's mape: 0.000303741\n",
      "[224000]\ttraining's mape: 0.000300318\n",
      "[226000]\ttraining's mape: 0.000296968\n",
      "[228000]\ttraining's mape: 0.000293824\n",
      "[230000]\ttraining's mape: 0.000290702\n",
      "[232000]\ttraining's mape: 0.000287707\n",
      "[234000]\ttraining's mape: 0.000284732\n",
      "[236000]\ttraining's mape: 0.000281792\n",
      "[238000]\ttraining's mape: 0.000278871\n",
      "[240000]\ttraining's mape: 0.000276139\n",
      "[242000]\ttraining's mape: 0.000273431\n",
      "[244000]\ttraining's mape: 0.000270707\n",
      "[246000]\ttraining's mape: 0.000268067\n",
      "[248000]\ttraining's mape: 0.000265443\n",
      "[250000]\ttraining's mape: 0.000262918\n",
      "[252000]\ttraining's mape: 0.000260435\n",
      "[254000]\ttraining's mape: 0.000257969\n",
      "[256000]\ttraining's mape: 0.000255557\n",
      "[258000]\ttraining's mape: 0.000253191\n",
      "[260000]\ttraining's mape: 0.000250858\n",
      "[262000]\ttraining's mape: 0.000248607\n",
      "[264000]\ttraining's mape: 0.000246366\n",
      "[266000]\ttraining's mape: 0.000244125\n",
      "[268000]\ttraining's mape: 0.000242\n",
      "[270000]\ttraining's mape: 0.000239828\n",
      "[272000]\ttraining's mape: 0.000237725\n",
      "[274000]\ttraining's mape: 0.000235676\n",
      "[276000]\ttraining's mape: 0.000233722\n",
      "[278000]\ttraining's mape: 0.000231759\n",
      "[280000]\ttraining's mape: 0.000229863\n",
      "[282000]\ttraining's mape: 0.000227946\n",
      "[284000]\ttraining's mape: 0.000226096\n",
      "[286000]\ttraining's mape: 0.000224224\n",
      "[288000]\ttraining's mape: 0.000222392\n",
      "[290000]\ttraining's mape: 0.000220653\n",
      "[292000]\ttraining's mape: 0.000218894\n",
      "[294000]\ttraining's mape: 0.000217181\n",
      "[296000]\ttraining's mape: 0.000215449\n",
      "[298000]\ttraining's mape: 0.000213755\n",
      "[300000]\ttraining's mape: 0.000212115\n",
      "[302000]\ttraining's mape: 0.000210475\n",
      "[304000]\ttraining's mape: 0.000208884\n",
      "[306000]\ttraining's mape: 0.000207329\n",
      "[308000]\ttraining's mape: 0.00020581\n",
      "[310000]\ttraining's mape: 0.000204287\n",
      "[312000]\ttraining's mape: 0.000202843\n",
      "[314000]\ttraining's mape: 0.000201331\n",
      "[316000]\ttraining's mape: 0.000199888\n",
      "[318000]\ttraining's mape: 0.000198431\n",
      "[320000]\ttraining's mape: 0.000197015\n",
      "[322000]\ttraining's mape: 0.000195611\n",
      "[324000]\ttraining's mape: 0.000194271\n",
      "[326000]\ttraining's mape: 0.000192926\n",
      "[328000]\ttraining's mape: 0.000191608\n",
      "[330000]\ttraining's mape: 0.000190313\n",
      "[332000]\ttraining's mape: 0.000189027\n",
      "[334000]\ttraining's mape: 0.000187781\n",
      "[336000]\ttraining's mape: 0.000186542\n",
      "[338000]\ttraining's mape: 0.000185302\n",
      "[340000]\ttraining's mape: 0.000184066\n",
      "[342000]\ttraining's mape: 0.000182875\n",
      "[344000]\ttraining's mape: 0.000181672\n",
      "[346000]\ttraining's mape: 0.000180513\n",
      "[348000]\ttraining's mape: 0.000179367\n",
      "[350000]\ttraining's mape: 0.000178227\n",
      "[352000]\ttraining's mape: 0.00017716\n",
      "[354000]\ttraining's mape: 0.000176022\n",
      "[356000]\ttraining's mape: 0.000174939\n",
      "[358000]\ttraining's mape: 0.000173903\n",
      "[360000]\ttraining's mape: 0.000172813\n",
      "[362000]\ttraining's mape: 0.000171768\n",
      "[364000]\ttraining's mape: 0.000170706\n",
      "[366000]\ttraining's mape: 0.000169681\n",
      "[368000]\ttraining's mape: 0.000168683\n",
      "[370000]\ttraining's mape: 0.000167683\n",
      "[372000]\ttraining's mape: 0.000166745\n",
      "[374000]\ttraining's mape: 0.000165778\n",
      "[376000]\ttraining's mape: 0.000164833\n",
      "[378000]\ttraining's mape: 0.000163904\n",
      "[380000]\ttraining's mape: 0.000162969\n",
      "[382000]\ttraining's mape: 0.000162063\n",
      "[384000]\ttraining's mape: 0.000161168\n",
      "[386000]\ttraining's mape: 0.00016026\n",
      "[388000]\ttraining's mape: 0.000159386\n",
      "[390000]\ttraining's mape: 0.000158506\n",
      "[392000]\ttraining's mape: 0.000157637\n"
     ]
    },
    {
     "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>total_price</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>X5gsdTWGS3W7JJQB</td>\n",
       "      <td>1.298618e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>BTshNOJyKHnT2YIT</td>\n",
       "      <td>3.897411e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>dhdymr0lV8N5kZOT</td>\n",
       "      <td>1.049745e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>VEwyGGMcD56w5BOc</td>\n",
       "      <td>6.139949e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>wmUeMoJZfsqaSX9b</td>\n",
       "      <td>1.106728e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>EtBjGAHmHCe9t7TZ</td>\n",
       "      <td>2.765256e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>hPNH34vmaZtvBtqc</td>\n",
       "      <td>1.220507e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>wXjeI38bYDMJJwZC</td>\n",
       "      <td>6.279981e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>fxZSGX6aPAFKU8W4</td>\n",
       "      <td>1.676985e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>ewr0Fx6ign87OwaV</td>\n",
       "      <td>4.063025e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>gHKurnEP4AowzsLg</td>\n",
       "      <td>8.923174e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>PmLfTgY2FElLrTl0</td>\n",
       "      <td>5.587725e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>eM2NppIOwzW0o8iy</td>\n",
       "      <td>9.892593e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>dxxwNun97NH4WTrZ</td>\n",
       "      <td>2.656847e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>jykBfhh3vdeFUi3H</td>\n",
       "      <td>3.937662e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>NlXbvdFfmJZf3L18</td>\n",
       "      <td>2.176653e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>D7jaFWHCzSqLBwdt</td>\n",
       "      <td>9.876744e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>L10dBBdqGmemweSl</td>\n",
       "      <td>4.965838e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>OgB0AdiPKlElakKN</td>\n",
       "      <td>1.092561e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>StiWNN1GQrpPBOYt</td>\n",
       "      <td>2.608604e+06</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         building_id   total_price\n",
       "0   X5gsdTWGS3W7JJQB  1.298618e+07\n",
       "1   BTshNOJyKHnT2YIT  3.897411e+06\n",
       "2   dhdymr0lV8N5kZOT  1.049745e+07\n",
       "3   VEwyGGMcD56w5BOc  6.139949e+06\n",
       "4   wmUeMoJZfsqaSX9b  1.106728e+06\n",
       "5   EtBjGAHmHCe9t7TZ  2.765256e+06\n",
       "6   hPNH34vmaZtvBtqc  1.220507e+07\n",
       "7   wXjeI38bYDMJJwZC  6.279981e+06\n",
       "8   fxZSGX6aPAFKU8W4  1.676985e+06\n",
       "9   ewr0Fx6ign87OwaV  4.063025e+06\n",
       "10  gHKurnEP4AowzsLg  8.923174e+05\n",
       "11  PmLfTgY2FElLrTl0  5.587725e+06\n",
       "12  eM2NppIOwzW0o8iy  9.892593e+06\n",
       "13  dxxwNun97NH4WTrZ  2.656847e+06\n",
       "14  jykBfhh3vdeFUi3H  3.937662e+06\n",
       "15  NlXbvdFfmJZf3L18  2.176653e+07\n",
       "16  D7jaFWHCzSqLBwdt  9.876744e+05\n",
       "17  L10dBBdqGmemweSl  4.965838e+06\n",
       "18  OgB0AdiPKlElakKN  1.092561e+06\n",
       "19  StiWNN1GQrpPBOYt  2.608604e+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",
    "if rm_outlier:\n",
    "    df_train = df_train.merge(training_buildings, on='building_id', how='inner').reset_index()\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": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_test_pred.to_csv('output/'+model_name+'-test-one.csv', index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total run time: 10206.89031291008\n"
     ]
    }
   ],
   "source": [
    "print('Total run time:', t11 - t10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Feature importance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "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": 26,
   "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": "3.6.6"
  },
  "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": "165px"
   },
   "toc_section_display": true,
   "toc_window_display": false
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}