model-19-predict-lgb-search-bins-lr-0.0005.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Change Log:\n",
    "- v19 - use parameters from model-19-build, lower learning rate = 0.0005\n",
    "- v20 - lower learning rate = 0.0008, add height_r and top_floor index\n",
    "- v16 - change parameters (some from model 05), rm reduce to 68\n",
    "- v14 - change random seed\n",
    "- v10 - remove features based on feature importance results (exp-l04-per-area)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Import packages"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import time\n",
    "import pickle\n",
    "import itertools\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import lightgbm as lgb\n",
    "import matplotlib.pyplot as plt\n",
    "from sklearn.model_selection import KFold\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.metrics import mean_squared_error\n",
    "from sklearn.metrics import mean_absolute_error\n",
    "from utilities import *"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "model_name = 'model-19-lgb-search-bins-lr-0.0005'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Params"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "is_log_target = True\n",
    "is_per_area_target = True\n",
    "\n",
    "map_target = {\n",
    "    (True, True):   'log_per_area_total_price',\n",
    "    (True, False):  'log_total_price',\n",
    "    (False, True):  'per_area_total_price',\n",
    "    (False, False): 'total_price'\n",
    "}\n",
    "col_target = map_target[(is_log_target, is_per_area_target)]\n",
    "\n",
    "#cols_feats_add = ['encoded_latlon', 'building_per_land_area'] # add feats into model\n",
    "cols_num_add = ['building_per_land_area', 'height_r', 'top_floor']\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",
    "#        encoded1 = self.tar_encoder.fit_transform(df[self.cols_cat], df[self.col_target])\n",
    "#        encoded2 = self.ran_encoder.fit_transform(df[self.cols_cat])\n",
    "        self.cat_astyper.fit_transform(df, self.cols_cat)    \n",
    "        return df\n",
    "#        return pd.concat([df, encoded1, encoded2], axis=1)\n",
    "    \n",
    "    def transform(self, df):\n",
    "        df = df.copy()\n",
    "#        encoded1 = self.tar_encoder.transform(df[self.cols_cat])\n",
    "#        encoded2 = self.ran_encoder.transform(df[self.cols_cat])     # TODO: add generated feats into cols_feats\n",
    "        self.cat_astyper.transform(df)\n",
    "        return df\n",
    "#        return pd.concat([df, encoded1, encoded2], axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "def post_processing(y_pred, df):\n",
    "    \"\"\"Args: \n",
    "          y_pred (1d np.array): raw prediction y\n",
    "          df (pd.Dataframe): input feature df\n",
    "       Return: np.array\n",
    "    \"\"\"\n",
    "    y_pred_final = y_pred.copy()\n",
    "    \n",
    "    if is_log_target:\n",
    "        y_pred_final = np.expm1(y_pred_final)\n",
    "        y_pred_final = np.clip(y_pred_final, 0, None)\n",
    "\n",
    "    if is_per_area_target:\n",
    "        y_pred_final = y_pred_final * df['building_area'].values\n",
    "        \n",
    "    return y_pred_final"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "cols_num = ['txn_dt', 'total_floor', 'building_complete_dt', 'parking_area', 'parking_price', 'txn_floor',\n",
    "            'land_area', 'building_area', 'lat', 'lon', 'village_income_median', 'town_population', 'town_area',\n",
    "            'town_population_density', 'doc_rate', 'master_rate', 'bachelor_rate', 'jobschool_rate',\n",
    "            'highschool_rate', 'junior_rate', 'elementary_rate', 'born_rate', 'death_rate', 'marriage_rate',\n",
    "            'divorce_rate', 'N_50', 'N_500', 'N_1000', 'N_5000', 'N_10000', 'I_10', 'I_50', 'I_100', 'I_250',\n",
    "            'I_500', 'I_1000', 'I_5000', 'I_10000', 'I_MIN', 'II_10', 'II_50', 'II_100', 'II_250', 'II_500',\n",
    "            'II_1000', 'II_5000', 'II_10000', 'II_MIN', 'III_10', 'III_50', 'III_100', 'III_250', 'III_500',\n",
    "            'III_1000', 'III_5000', 'III_10000', 'III_MIN', 'IV_10', 'IV_50', 'IV_100', 'IV_250', 'IV_500',\n",
    "            'IV_1000', 'IV_5000', 'IV_10000', 'IV_MIN', 'V_10', 'V_50', 'V_100', 'V_250', 'V_500', 'V_1000',\n",
    "            'V_5000', 'V_10000', 'V_MIN', 'VI_50', 'VI_100', 'VI_250', 'VI_500', 'VI_1000', 'VI_5000', 'VI_10000',\n",
    "            'VI_MIN', 'VII_10', 'VII_50', 'VII_100', 'VII_250', 'VII_500', 'VII_1000', 'VII_5000', 'VII_10000',\n",
    "            'VII_MIN', 'VIII_10', 'VIII_50', 'VIII_100', 'VIII_250', 'VIII_500', 'VIII_1000', 'VIII_5000',\n",
    "            'VIII_10000', 'VIII_MIN', 'IX_10', 'IX_50', 'IX_100', 'IX_250', 'IX_500', 'IX_1000', 'IX_5000',\n",
    "            'IX_10000', 'IX_MIN', 'X_10', 'X_50', 'X_100', 'X_250', 'X_500', 'X_1000', 'X_5000', 'X_10000', 'X_MIN',\n",
    "            'XI_10', 'XI_50', 'XI_100', 'XI_250', 'XI_500', 'XI_1000', 'XI_5000', 'XI_10000', 'XI_MIN', 'XII_10',\n",
    "            'XII_50', 'XII_100', 'XII_250', 'XII_500', 'XII_1000', 'XII_5000', 'XII_10000', 'XII_MIN', 'XIII_10',\n",
    "            'XIII_50', 'XIII_100', 'XIII_250', 'XIII_500', 'XIII_1000', 'XIII_5000', 'XIII_10000', 'XIII_MIN',\n",
    "            'XIV_10', 'XIV_50', 'XIV_100', 'XIV_250', 'XIV_500', 'XIV_1000', 'XIV_5000', 'XIV_10000', 'XIV_MIN']\n",
    "cols_cat = ['building_material', 'city', 'building_type', 'building_use', 'parking_way', 'town', 'village',\n",
    "            'I_index_50', 'I_index_500', 'I_index_1000', 'II_index_50', 'II_index_500', 'II_index_1000',\n",
    "            'III_index_50', 'III_index_500', 'III_index_1000', 'IV_index_50', 'IV_index_500', 'IV_index_1000',\n",
    "            'IV_index_5000', 'V_index_50', 'V_index_500', 'V_index_1000', 'VI_10', 'VI_index_50', 'VI_index_500',\n",
    "            'VI_index_1000', 'VII_index_50', 'VII_index_500', 'VII_index_1000', 'VIII_index_50', 'VIII_index_500',\n",
    "            'VIII_index_1000', 'IX_index_50', 'IX_index_500', 'IX_index_1000', 'IX_index_5000', 'X_index_50',\n",
    "            'X_index_500', 'X_index_1000', 'XI_index_50', 'XI_index_500', 'XI_index_1000', 'XI_index_5000',\n",
    "            'XI_index_10000', 'XII_index_50', 'XII_index_500', 'XII_index_1000', 'XIII_index_50', 'XIII_index_500',\n",
    "            'XIII_index_1000', 'XIII_index_5000', 'XIII_index_10000', 'XIV_index_50', 'XIV_index_500',\n",
    "            'XIV_index_1000']\n",
    "cols_feats = cols_num + cols_cat\n",
    "\n",
    "# informational cols\n",
    "cols_dt = ['txn_dt', 'building_complete_dt']\n",
    "cols_bin = ['I_index_50', 'I_index_500', 'I_index_1000', 'II_index_50', 'II_index_500', 'II_index_1000',\n",
    "            'III_index_50', 'III_index_500', 'III_index_1000', 'IV_index_50', 'IV_index_500', 'IV_index_1000',\n",
    "            'IV_index_5000', 'V_index_50', 'V_index_500', 'V_index_1000', 'VI_10', 'VI_index_50', 'VI_index_500',\n",
    "            'VI_index_1000', 'VII_index_50', 'VII_index_500', 'VII_index_1000', 'VIII_index_50', 'VIII_index_500',\n",
    "            'VIII_index_1000', 'IX_index_50', 'IX_index_500', 'IX_index_1000', 'IX_index_5000', 'X_index_50',\n",
    "            'X_index_500', 'X_index_1000', 'XI_index_50', 'XI_index_500', 'XI_index_1000', 'XI_index_5000',\n",
    "            'XI_index_10000', 'XII_index_50', 'XII_index_500', 'XII_index_1000', 'XIII_index_50', 'XIII_index_500',\n",
    "            'XIII_index_1000', 'XIII_index_5000', 'XIII_index_10000', 'XIV_index_50', 'XIV_index_500',\n",
    "            'XIV_index_1000']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Read data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>building_id</th>\n",
       "      <th>building_material</th>\n",
       "      <th>city</th>\n",
       "      <th>txn_dt</th>\n",
       "      <th>total_floor</th>\n",
       "      <th>building_type</th>\n",
       "      <th>building_use</th>\n",
       "      <th>building_complete_dt</th>\n",
       "      <th>parking_way</th>\n",
       "      <th>parking_area</th>\n",
       "      <th>...</th>\n",
       "      <th>XIV_500</th>\n",
       "      <th>XIV_index_500</th>\n",
       "      <th>XIV_1000</th>\n",
       "      <th>XIV_index_1000</th>\n",
       "      <th>XIV_5000</th>\n",
       "      <th>XIV_index_5000</th>\n",
       "      <th>XIV_10000</th>\n",
       "      <th>XIV_index_10000</th>\n",
       "      <th>XIV_MIN</th>\n",
       "      <th>total_price</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>e3mMIMR3JJqCaXz1</td>\n",
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       "      <td>6271</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>58</td>\n",
       "      <td>1</td>\n",
       "      <td>157</td>\n",
       "      <td>1</td>\n",
       "      <td>2483</td>\n",
       "      <td>1</td>\n",
       "      <td>6011</td>\n",
       "      <td>1</td>\n",
       "      <td>34.469802848528126</td>\n",
       "      <td>647603.7704719775</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>LgwzgklNvy4QCtq5</td>\n",
       "      <td>8</td>\n",
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       "      <td>7885</td>\n",
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       "      <td>...</td>\n",
       "      <td>28</td>\n",
       "      <td>1</td>\n",
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       "      <td>1</td>\n",
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       "      <td>32221</td>\n",
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       "      <td>40.07357348973039</td>\n",
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       "      <td>6028</td>\n",
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       "      <td>...</td>\n",
       "      <td>78</td>\n",
       "      <td>1</td>\n",
       "      <td>212</td>\n",
       "      <td>1</td>\n",
       "      <td>15760</td>\n",
       "      <td>1</td>\n",
       "      <td>32228</td>\n",
       "      <td>1</td>\n",
       "      <td>54.46208108983661</td>\n",
       "      <td>9570885.316206373</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>jre1pJhcQj91Kdky</td>\n",
       "      <td>8</td>\n",
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       "      <td>2</td>\n",
       "      <td>18325</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>20</td>\n",
       "      <td>1</td>\n",
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       "      <td>1</td>\n",
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       "      <td>18</td>\n",
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       "      <td>1</td>\n",
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       "      <td>1</td>\n",
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       "      <td>762711.9757135696</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 235 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        building_id building_material city txn_dt total_floor building_type  \\\n",
       "0  e3mMIMR3JJqCaXz1                 8   21  18674           4             3   \n",
       "1  LgwzgklNvy4QCtq5                 8    7  18800           5             1   \n",
       "2  ucIR2NLLsC3T650L                 8    7  19289           4             1   \n",
       "3  jre1pJhcQj91Kdky                 8   21  20385          24             0   \n",
       "4  rQpYpY9nRG7X5mmr                 1   21  20657           2             4   \n",
       "\n",
       "  building_use building_complete_dt parking_way parking_area  ... XIV_500  \\\n",
       "0            2                 6271           2          NaN  ...      58   \n",
       "1            2                 7885           2          NaN  ...      28   \n",
       "2            2                 6028           2          NaN  ...      78   \n",
       "3            2                18325           0          NaN  ...      20   \n",
       "4            2                 6880           2          NaN  ...      18   \n",
       "\n",
       "  XIV_index_500 XIV_1000 XIV_index_1000 XIV_5000 XIV_index_5000 XIV_10000  \\\n",
       "0             1      157              1     2483              1      6011   \n",
       "1             1      115              1    15872              1     32221   \n",
       "2             1      212              1    15760              1     32228   \n",
       "3             1      125              1     2568              1      7271   \n",
       "4             1       47              1     2587              1      7442   \n",
       "\n",
       "  XIV_index_10000             XIV_MIN         total_price  \n",
       "0               1  34.469802848528126   647603.7704719775  \n",
       "1               1   40.07357348973039           3321452.0  \n",
       "2               1   54.46208108983661   9570885.316206373  \n",
       "3               1   99.62896580763416  14215011.127100045  \n",
       "4               1   124.1312362968124   762711.9757135696  \n",
       "\n",
       "[5 rows x 235 columns]"
      ]
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     "output_type": "display_data"
    },
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      "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>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  ... XIV_250  \\\n",
       "0            2                 1857           2          NaN  ...       7   \n",
       "1            2                16011           2          NaN  ...      18   \n",
       "2           10                18294           2          NaN  ...       0   \n",
       "3            0                17837           2          NaN  ...      16   \n",
       "4            2                13272           2          NaN  ...       4   \n",
       "\n",
       "  XIV_500 XIV_index_500 XIV_1000 XIV_index_1000 XIV_5000 XIV_index_5000  \\\n",
       "0      21             1      129              1     3991              1   \n",
       "1      44             1       67              1     1950              1   \n",
       "2       3             1       35              1     3707              1   \n",
       "3      60             1      144              1     6487              1   \n",
       "4      18             1       76              1     1346              1   \n",
       "\n",
       "  XIV_10000 XIV_index_10000             XIV_MIN  \n",
       "0      8409               1   105.4622312795739  \n",
       "1     10725               1  100.81980868401074  \n",
       "2     19459               1   259.8005430183116  \n",
       "3     29400               1  22.941906168328487  \n",
       "4      3280               1  181.21309507601745  \n",
       "\n",
       "[5 rows x 234 columns]"
      ]
     },
     "metadata": {},
     "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": "markdown",
   "metadata": {},
   "source": [
    "### Preprocessing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/skyhuang/.local/lib/python3.6/site-packages/sklearn/base.py:306: UserWarning: Trying to unpickle estimator KMeans from version 0.20.3 when using version 0.21.2. This might lead to breaking code or invalid results. Use at your own risk.\n",
      "  UserWarning)\n",
      "/home/skyhuang/.local/lib/python3.6/site-packages/sklearn/base.py:306: UserWarning: Trying to unpickle estimator KMeans from version 0.20.3 when using version 0.21.2. This might lead to breaking code or invalid results. Use at your own risk.\n",
      "  UserWarning)\n"
     ]
    }
   ],
   "source": [
    "train = pre_processing(train, cols_num, cols_cat)\n",
    "test = pre_processing(test, cols_num, cols_cat)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "cols_num = cols_num + [c for c in cols_num_add if c not in cols_num]\n",
    "cols_cat = cols_cat + [c for c in cols_cat_add if c not in cols_cat]\n",
    "cols_feats = cols_num + cols_cat"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Remove feats based on shuffle results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[0 'divorce_rate' 5709.20035 3.333296666667593]\n",
      " [1 'I_250' 5709.200316666666 3.333263333333889]\n",
      " [2 'XI_100' 5708.200346666667 2.33329333333495]\n",
      " [3 'VI_index_500' 5707.867050000001 1.9999966666682667]\n",
      " [4 'IX_index_50' 5707.86704 1.9999866666676098]\n",
      " [5 'VI_500' 5707.866983333333 1.9999300000008589]\n",
      " [6 'XIV_10' 5707.533710000001 1.666656666668132]\n",
      " [7 'XI_index_500' 5707.200386666666 1.3333333333339397]\n",
      " [8 'VI_index_1000' 5707.200383333334 1.3333300000012969]\n",
      " [9 'V_100' 5707.200373333333 1.33332000000064]\n",
      " [10 'VII_10' 5707.200363333334 1.333310000001802]\n",
      " [11 'X_100' 5707.200336666666 1.3332833333333838]\n",
      " [12 'XII_index_50' 5706.867056666667 1.0000033333344618]\n",
      " [15 'X_index_500' 5706.867050000001 0.9999966666682667]\n",
      " [14 'X_10' 5706.867050000001 0.9999966666682667]\n",
      " [13 'II_10' 5706.867050000001 0.9999966666682667]\n",
      " [16 'II_index_500' 5706.867046666666 0.9999933333338049]\n",
      " [17 'V_index_1000' 5706.867046666666 0.9999933333338049]\n",
      " [18 'XIII_10' 5706.867043333335 0.9999900000020716]\n",
      " [19 'XIV_index_50' 5706.867043333335 0.9999900000020716]\n",
      " [20 'VIII_index_500' 5706.86704 0.9999866666676098]\n",
      " [21 'IX_50' 5706.867016666667 0.9999633333345628]\n",
      " [22 'XI_index_1000' 5706.533726666666 0.6666733333331649]\n",
      " [23 'XI_10' 5706.533719999999 0.6666666666669698]\n",
      " [24 'II_index_1000' 5706.533719999999 0.6666666666669698]\n",
      " [25 'VII_index_500' 5706.533719999999 0.6666666666669698]\n",
      " [26 'X_index_1000' 5706.533719999999 0.6666666666669698]\n",
      " [30 'XIII_index_1000' 5706.533716666668 0.6666633333352365]\n",
      " [31 'XIV_index_500' 5706.533716666668 0.6666633333352365]\n",
      " [27 'VI_100' 5706.533716666668 0.6666633333352365]\n",
      " [29 'IX_index_500' 5706.533716666668 0.6666633333352365]\n",
      " [28 'I_index_1000' 5706.533716666668 0.6666633333352365]\n",
      " [32 'XIII_index_500' 5706.533713333333 0.6666600000007747]\n",
      " [33 'V_10' 5706.533706666666 0.6666533333336702]\n",
      " [34 'VII_index_50' 5706.533706666666 0.6666533333336702]\n",
      " [35 'I_500' 5706.533573333333 0.6665200000006735]\n",
      " [36 'IV_index_50' 5706.200386666666 0.33333333333393966]\n",
      " [37 'V_index_500' 5706.200386666666 0.33333333333393966]\n",
      " [38 'VI_index_50' 5706.200386666666 0.33333333333393966]\n",
      " [39 'XIII_index_5000' 5706.200386666666 0.33333333333393966]\n",
      " [40 'VI_50' 5706.200383333334 0.33333000000129687]\n",
      " [41 'III_index_1000' 5706.200383333334 0.33333000000129687]\n",
      " [44 'I_index_50' 5706.200379999999 0.3333266666668351]\n",
      " [42 'I_50' 5706.200379999999 0.3333266666668351]\n",
      " [43 'IV_50' 5706.200379999999 0.3333266666668351]\n",
      " [45 'III_index_50' 5706.200370000001 0.3333166666689067]\n",
      " [46 'VI_250' 5706.200366666667 0.3333133333344449]\n",
      " [47 'XI_index_50' 5706.200366666667 0.3333133333344449]\n",
      " [48 'VI_1000' 5706.200263333333 0.33321000000069034]\n",
      " [49 'XII_index_500' 5705.867056666667 3.333334461785853e-06]\n",
      " [59 'XIV_index_1000' 5705.8670533333325 0.0]\n",
      " [58 'XIII_index_50' 5705.8670533333325 0.0]\n",
      " [57 'XII_index_1000' 5705.8670533333325 0.0]\n",
      " [55 'IX_index_5000' 5705.8670533333325 0.0]\n",
      " [56 'XI_index_10000' 5705.8670533333325 0.0]\n",
      " [53 'VI_10' 5705.8670533333325 0.0]\n",
      " [54 'VII_index_1000' 5705.8670533333325 0.0]\n",
      " [52 'IV_index_5000' 5705.8670533333325 0.0]\n",
      " [51 'I_10' 5705.8670533333325 0.0]\n",
      " [50 'none' 5705.8670533333325 0.0]\n",
      " [60 'VIII_index_1000' 5705.867050000001 -3.3333317333017476e-06]\n",
      " [61 'XI_index_5000' 5705.867050000001 -3.3333317333017476e-06]\n",
      " [62 'I_index_500' 5705.86704 -1.3333332390175201e-05]\n",
      " [63 'II_index_50' 5705.86704 -1.3333332390175201e-05]\n",
      " [64 'IX_index_1000' 5705.867036666667 -1.666666503297165e-05]\n",
      " [65 'I_100' 5705.86703 -2.3333332137553953e-05]\n",
      " [66 'II_50' 5705.8670133333335 -3.9999998989515007e-05]\n",
      " [67 'N_500' 5705.866976666667 -7.666666533623356e-05]\n",
      " [68 'N_5000' 5705.533719999999 -0.33333333333303017]\n",
      " [69 'IX_10' 5705.533713333333 -0.33333999999922526]\n",
      " [70 'IV_index_1000' 5705.533713333333 -0.33333999999922526]\n",
      " [71 'X_index_50' 5705.533713333333 -0.33333999999922526]\n",
      " [72 'IV_10' 5705.533710000001 -0.33334333333186805]\n",
      " [73 'XIII_index_10000' 5705.533710000001 -0.33334333333186805]\n",
      " [74 'XII_10' 5705.533630000001 -0.33342333333166607]\n",
      " [75 'III_10' 5705.200383333334 -0.6666699999987031]\n",
      " [76 'X_50' 5705.200370000001 -0.6666833333310933]\n",
      " [77 'IV_index_500' 5705.200370000001 -0.6666833333310933]\n",
      " [78 'VIII_index_50' 5705.200363333334 -0.6666899999981979]\n",
      " [79 'XI_50' 5705.20035 -0.666703333332407]\n",
      " [80 'N_10000' 5705.200326666666 -0.6667266666663636]\n",
      " [81 'V_index_50' 5704.867036666667 -1.000016666665033]\n",
      " [82 'X_500' 5704.86689 -1.0001633333322388]\n",
      " [83 'X_250' 5704.866873333333 -1.0001799999990908]\n",
      " [84 'III_index_500' 5704.533719999999 -1.3333333333330302]\n",
      " [85 'XIII_50' 5704.533710000001 -1.333343333331868]\n",
      " [86 'XIII_100' 5704.533710000001 -1.333343333331868]\n",
      " [87 'V_50' 5704.200356666667 -1.6666966666653025]\n",
      " [88 'IX_100' 5704.2002600000005 -1.6667933333319525]\n",
      " [89 'XIV_250' 5704.200026666666 -1.667026666666061]\n",
      " [90 'IV_100' 5703.867026666667 -2.00002666666569]\n",
      " [91 'IV_250' 5703.866953333333 -2.0000999999992928]\n",
      " [92 'III_100' 5703.533653333333 -2.3333999999995285]\n",
      " [93 'XIV_100' 5703.533503333333 -2.333549999999377]\n",
      " [94 'XIII_250' 5703.200316666666 -2.666736666666111]\n",
      " [95 'XI_250' 5703.200193333333 -2.6668599999993603]\n",
      " [96 'VIII_10' 5702.866996666667 -3.0000566666658415]\n",
      " [97 'IX_250' 5702.200013333334 -3.667039999998451]\n",
      " [98 'IV_500' 5701.866936666666 -4.000116666666145]\n",
      " [99 'IX_5000' 5701.533173333333 -4.333879999999226]\n",
      " [100 'XII_100' 5701.2001666666665 -4.66688666666596]\n",
      " [101 'II_100' 5700.866966666667 -5.000086666665084]\n",
      " [102 'N_1000' 5700.866936666666 -5.000116666666145]\n",
      " [103 'born_rate' 5700.86682 -5.0002333333322895]\n",
      " [104 'junior_rate' 5700.5335000000005 -5.33355333333202]\n",
      " [105 'VIII_50' 5700.533383333334 -5.333669999998165]\n",
      " [106 'marriage_rate' 5700.533316666667 -5.333736666665573]\n",
      " [107 'XIV_50' 5699.533613333333 -6.3334399999994275]\n",
      " [108 'VII_50' 5699.533456666667 -6.333596666665471]\n",
      " [109 'IV_1000' 5699.199853333333 -6.667199999999866]\n",
      " [110 'II_250' 5698.53337 -7.333683333332374]\n",
      " [111 'XIII_500' 5698.200293333332 -7.6667600000000675]\n",
      " [112 'III_50' 5698.200069999999 -7.666983333333519]\n",
      " [113 'II_10000' 5698.199886666666 -7.667166666666162]\n",
      " [114 'IV_5000' 5697.866536666667 -8.000516666665135]\n",
      " [115 'XIII_1000' 5697.533463333333 -8.333589999999276]\n",
      " [116 'III_250' 5697.200150000001 -8.666903333331902]\n",
      " [117 'VIII_100' 5696.866476666667 -9.000576666665438]\n",
      " [118 'XII_50' 5696.200313333335 -9.666739999997844]\n",
      " [119 'N_50' 5696.19989 -9.66716333333261]\n",
      " [120 'VIII_5000' 5695.533113333334 -10.33393999999862]\n",
      " [121 'I_1000' 5694.866853333333 -11.000199999999495]\n",
      " [122 'VI_MIN' 5694.866663333334 -11.000389999998333]\n",
      " [123 'XIV_500' 5694.866446666667 -11.00060666666559]\n",
      " [124 'VII_100' 5694.53343 -11.33362333333207]\n",
      " [125 'XI_500' 5693.8668800000005 -12.000173333331986]\n",
      " [126 'IV_10000' 5693.532886666667 -12.334166666665624]\n",
      " [127 'V_MIN' 5692.86606 -13.00099333333219]\n",
      " [128 'death_rate' 5692.5331633333335 -13.333889999998974]\n",
      " [129 'VIII_10000' 5692.199853333333 -13.667199999999866]\n",
      " [130 'XIII_MIN' 5691.533060000001 -14.333993333331819]\n",
      " [131 'V_500' 5690.199906666668 -15.667146666664848]\n",
      " [132 'I_MIN' 5690.19978 -15.66727333333256]\n",
      " [133 'V_250' 5689.200093333333 -16.666959999999563]\n",
      " [134 'IV_MIN' 5689.1995566666665 -16.66749666666601]\n",
      " [135 'III_500' 5688.866743333333 -17.000309999999445]\n",
      " [136 'IX_500' 5688.86639 -17.00066333333234]\n",
      " [137 'XI_5000' 5688.533226666666 -17.333826666666027]\n",
      " [138 'XII_250' 5688.533106666667 -17.333946666665724]\n",
      " [139 'III_1000' 5687.866279999999 -18.0007733333332]\n",
      " [140 'XI_MIN' 5687.532873333334 -18.334179999998923]\n",
      " [141 'X_10000' 5687.532800000001 -18.334253333331617]\n",
      " [142 'II_500' 5686.532996666666 -19.334056666666584]\n",
      " [143 'III_5000' 5684.866556666667 -21.00049666666564]\n",
      " [144 'V_1000' 5683.866256666667 -22.000796666665337]\n",
      " [145 'III_10000' 5683.5324900000005 -22.33456333333197]\n",
      " [146 'VII_MIN' 5683.199209999999 -22.66784333333362]\n",
      " [147 'XII_500' 5683.199173333334 -22.66787999999815]\n",
      " [148 'III_MIN' 5682.532556666666 -23.334496666666382]\n",
      " [149 'VIII_250' 5681.86623 -24.000823333332846]\n",
      " [150 'XIV_1000' 5680.866440000001 -25.000613333331785]\n",
      " [151 'town_area' 5680.533066666667 -25.333986666665623]\n",
      " [152 'XIV_MIN' 5680.19969 -25.667363333332105]\n",
      " [153 'II_MIN' 5677.53274 -28.33431333333283]\n",
      " [154 'XII_5000' 5676.8655733333335 -29.001479999998992]\n",
      " [155 'building_material' 5676.865563333333 -29.00148999999965]\n",
      " [156 'X_1000' 5675.865993333333 -30.001059999999597]\n",
      " [157 'I_5000' 5675.532426666668 -30.334626666664917]\n",
      " [158 'XI_10000' 5675.199393333333 -30.66765999999916]\n",
      " [159 'XII_10000' 5674.865669999999 -31.00138333333325]\n",
      " [160 'elementary_rate' 5674.532066666667 -31.334986666665827]\n",
      " [161 'town_population_density' 5674.199496666667 -31.667556666665405]\n",
      " [162 'IX_MIN' 5673.5324900000005 -32.33456333333197]\n",
      " [163 'XII_MIN' 5672.199463333333 -33.66758999999911]\n",
      " [164 'X_MIN' 5672.199316666666 -33.667736666666315]\n",
      " [165 'VII_250' 5671.865873333333 -34.001179999999295]\n",
      " [166 'XIV_10000' 5669.865906666667 -36.00114666666559]\n",
      " [167 'X_5000' 5669.865403333333 -36.001649999999245]\n",
      " [168 'parking_area' 5665.866163333333 -40.000889999999345]\n",
      " [169 'IX_10000' 5665.53269 -40.334363333332476]\n",
      " [170 'highschool_rate' 5664.532736666667 -41.33431666666547]\n",
      " [171 'II_5000' 5662.532619999999 -43.334433333333436]\n",
      " [172 'V_5000' 5661.19843 -44.66862333333211]\n",
      " [173 'VIII_MIN' 5660.532049999999 -45.33500333333359]\n",
      " [174 'VIII_500' 5658.531816666667 -47.33523666666588]\n",
      " [175 'VIII_1000' 5657.86419 -48.00286333333224]\n",
      " [176 'I_10000' 5655.531346666667 -50.33570666666583]\n",
      " [177 'building_use' 5652.19898 -53.66807333333236]\n",
      " [178 'XII_1000' 5644.19792 -61.669133333332866]\n",
      " [179 'VI_5000' 5641.86575 -64.00130333333254]\n",
      " [180 'lat' 5637.531133333333 -68.33591999999953]\n",
      " [181 'VII_5000' 5631.530966666666 -74.33608666666623]\n",
      " [182 'VII_500' 5629.531536666666 -76.33551666666608]\n",
      " [183 'town_population' 5626.198586666666 -79.66846666666606]\n",
      " [184 'city' 5624.864426666667 -81.00262666666549]\n",
      " [185 'II_1000' 5618.53164 -87.33541333333233]\n",
      " [186 'IX_1000' 5609.530946666667 -96.33610666666573]\n",
      " [187 'XI_1000' 5600.864693333333 -105.0023599999995]\n",
      " [188 'jobschool_rate' 5577.52952 -128.33753333333243]\n",
      " [189 'bachelor_rate' 5564.530006666667 -141.33704666666563]\n",
      " [190 'XIV_5000' 5544.529993333334 -161.33705999999893]\n",
      " [191 'V_10000' 5527.5279433333335 -178.33910999999898]\n",
      " [192 'VII_1000' 5483.195199999999 -222.67185333333327]\n",
      " [193 'parking_way' 5481.528866666667 -224.33818666666502]\n",
      " [194 'XIII_5000' 5403.193223333333 -302.6738299999997]\n",
      " [195 'lon' 5361.52429 -344.3427633333322]\n",
      " [196 'parking_price' 5360.190783333333 -345.67626999999993]\n",
      " [197 'master_rate' 5210.856313333333 -495.0107399999997]\n",
      " [198 'building_type' 5193.523143333333 -512.3439099999996]\n",
      " [199 'village_income_median' 5009.84994 -696.0171133333324]\n",
      " [200 'total_floor' 4984.18339 -721.6836633333323]\n",
      " [201 'building_area' 4936.506333333334 -769.3607199999988]\n",
      " [202 'doc_rate' 4886.513366666666 -819.3536866666664]\n",
      " [203 'village' 4852.180716666666 -853.6863366666666]\n",
      " [204 'VII_10000' 4688.84273 -1017.0243233333322]\n",
      " [205 'land_area' 4551.80975 -1154.0573033333321]\n",
      " [206 'VI_10000' 4376.823850000001 -1329.0432033333318]\n",
      " [207 'txn_floor' 4149.4685 -1556.3985533333325]\n",
      " [208 'txn_dt' 3962.7975066666663 -1743.0695466666662]\n",
      " [209 'building_complete_dt' 3433.7606266666667 -2272.106426666666]\n",
      " [210 'XIII_10000' 2914.651653333333 -2791.2153999999996]\n",
      " [211 'town' 2516.730063333333 -3189.1369899999995]]\n",
      "68\n",
      "['divorce_rate', 'I_250', 'XI_100', 'VI_index_500', 'IX_index_50', 'VI_500', 'XIV_10', 'XI_index_500', 'VI_index_1000', 'V_100', 'VII_10', 'X_100', 'XII_index_50', 'X_index_500', 'X_10', 'II_10', 'II_index_500', 'V_index_1000', 'XIII_10', 'XIV_index_50', 'VIII_index_500', 'IX_50', 'XI_index_1000', 'XI_10', 'II_index_1000', 'VII_index_500', 'X_index_1000', 'XIII_index_1000', 'XIV_index_500', 'VI_100', 'IX_index_500', 'I_index_1000', 'XIII_index_500', 'V_10', 'VII_index_50', 'I_500', 'IV_index_50', 'V_index_500', 'VI_index_50', 'XIII_index_5000', 'VI_50', 'III_index_1000', 'I_index_50', 'I_50', 'IV_50', 'III_index_50', 'VI_250', 'XI_index_50', 'VI_1000', 'XII_index_500', 'XIV_index_1000', 'XIII_index_50', 'XII_index_1000', 'IX_index_5000', 'XI_index_10000', 'VI_10', 'VII_index_1000', 'IV_index_5000', 'I_10', 'VIII_index_1000', 'XI_index_5000', 'I_index_500', 'II_index_50', 'IX_index_1000', 'I_100', 'II_50', 'N_500', 'N_5000']\n",
      "N feats (before): 215\n",
      "N feats (after): 147\n",
      "['doc_rate', 'VIII_250', 'XI_MIN', 'VI_10000', 'III_250', 'VIII_10', 'XIV_50', 'parking_area', 'land_area', 'town', 'XI_250', 'II_10000', 'II_100', 'III_index_500', 'III_5000', 'total_floor', 'X_10000', 'IV_index_1000', 'XIII_MIN', 'XIV_500', 'XIII_100', 'VII_5000', 'VIII_1000', 'VII_500', 'VIII_MIN', 'X_MIN', 'XI_1000', 'lat', 'XIV_5000', 'jobschool_rate', 'VI_MIN', 'IV_MIN', 'N_1000', 'death_rate', 'IV_250', 'master_rate', 'II_MIN', 'VII_250', 'V_5000', 'IV_index_500', 'IX_10', 'VII_1000', 'II_1000', 'txn_dt', 'IV_10', 'XII_1000', 'IV_100', 'XII_10000', 'XI_500', 'VII_100', 'IX_5000', 'X_1000', 'city', 'XI_50', 'IX_500', 'highschool_rate', 'III_100', 'V_MIN', 'XII_MIN', 'III_500', 'IV_10000', 'I_MIN', 'IX_1000', 'V_1000', 'X_50', 'N_50', 'XII_10', 'IV_5000', 'bachelor_rate', 'VII_50', 'V_250', 'IX_10000', 'village_income_median', 'encoded_latlon', 'elementary_rate', 'XIII_250', 'height_r', 'VIII_50', 'X_500', 'VIII_10000', 'VIII_5000', 'XIII_1000', 'IV_1000', 'III_1000', 'IX_250', 'XIII_5000', 'N_10000', 'XI_5000', 'X_index_50', 'XIV_10000', 'VI_5000', 'III_50', 'X_5000', 'IV_500', 'town_population_density', 'XIII_500', 'born_rate', 'XII_100', 'town_area', 'XII_500', 'VII_10000', 'I_5000', 'XIV_1000', 'X_250', 'I_1000', 'III_10000', 'XIV_250', 'VII_MIN', 'VIII_100', 'XII_5000', 'II_250', 'V_10000', 'V_index_50', 'txn_floor', 'I_10000', 'IX_100', 'XIII_index_10000', 'II_5000', 'XIV_100', 'III_MIN', 'parking_way', 'II_500', 'top_floor', 'building_type', 'III_10', 'V_50', 'village', 'building_per_land_area', 'XII_250', 'VIII_500', 'lon', 'XII_50', 'marriage_rate', 'VIII_index_50', 'XIII_50', 'building_complete_dt', 'parking_price', 'junior_rate', 'XIII_10000', 'XIV_MIN', 'building_area', 'IX_MIN', 'V_500', 'building_use', 'XI_10000', 'town_population', 'building_material']\n"
     ]
    }
   ],
   "source": [
    "# PARS #\n",
    "N_feats_rm = 68\n",
    "# PARS #\n",
    "\n",
    "from vars_03 import score_base_per_area, shuffle_results_per_area\n",
    "\n",
    "feat_imp = pd.DataFrame({'feats': shuffle_results_per_area[:,0],\n",
    "                         'avg':shuffle_results_per_area[:,1]})\n",
    "feat_imp['diff'] = feat_imp['avg'] - score_base_per_area\n",
    "feat_imp = feat_imp.sort_values(by='diff', ascending=False)\n",
    "print(feat_imp.reset_index().values)\n",
    "\n",
    "feats_rm = list(feat_imp.iloc[:(N_feats_rm+1)]['feats'].values)\n",
    "feats_rm.remove('none')\n",
    "print(len(feats_rm))\n",
    "print(feats_rm)\n",
    "\n",
    "print('N feats (before):', len(cols_feats))\n",
    "cols_feats = list(set(cols_feats) - set(feats_rm))\n",
    "print('N feats (after):', len(cols_feats))\n",
    "print(cols_feats)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Params"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "# params\n",
    "# parameters from model 10: 24, 300, 0.5, 10, 0.1, 0.0\n",
    "# parameters from model 5: 24, 258, 0.4, 6, 0.04, 0.02\n",
    "params = {'task': 'train',\n",
    "          'boosting_type': 'gbdt',\n",
    "          'objective': 'mse',\n",
    "          'metric': 'mape',\n",
    "          'learning_rate': 0.0005, # 0.001\n",
    "          'max_depth': 30,\n",
    "          'num_leaves': 300,           # may reduce in dim-reduction exp\n",
    "          'feature_fraction': 0.45,\n",
    "          'min_data_in_leaf': 5,\n",
    "          'lambda_l1': 0.05,\n",
    "          'lambda_l2': 0.001,\n",
    "          'max_bin': 383,\n",
    "          'min_sum_hessian_in_leaf': 0.0001,\n",
    "          'seed': 555,\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": 13,
   "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: 0.0264129\n",
      "[4000]\tvalid_0's mape: 0.0156717\n",
      "[6000]\tvalid_0's mape: 0.0124811\n",
      "[8000]\tvalid_0's mape: 0.0113486\n",
      "[10000]\tvalid_0's mape: 0.0107935\n",
      "[12000]\tvalid_0's mape: 0.0104521\n",
      "[14000]\tvalid_0's mape: 0.0102229\n",
      "[16000]\tvalid_0's mape: 0.010053\n",
      "[18000]\tvalid_0's mape: 0.00992272\n",
      "[20000]\tvalid_0's mape: 0.00981765\n",
      "[22000]\tvalid_0's mape: 0.00973109\n",
      "[24000]\tvalid_0's mape: 0.00965976\n",
      "[26000]\tvalid_0's mape: 0.00959937\n",
      "[28000]\tvalid_0's mape: 0.00954858\n",
      "[30000]\tvalid_0's mape: 0.00950546\n",
      "[32000]\tvalid_0's mape: 0.00946848\n",
      "[34000]\tvalid_0's mape: 0.00943579\n",
      "[36000]\tvalid_0's mape: 0.00940727\n",
      "[38000]\tvalid_0's mape: 0.00938221\n",
      "[40000]\tvalid_0's mape: 0.00935918\n",
      "[42000]\tvalid_0's mape: 0.00933818\n",
      "[44000]\tvalid_0's mape: 0.00931913\n",
      "[46000]\tvalid_0's mape: 0.00930109\n",
      "[48000]\tvalid_0's mape: 0.00928495\n",
      "[50000]\tvalid_0's mape: 0.00926998\n",
      "[52000]\tvalid_0's mape: 0.00925647\n",
      "[54000]\tvalid_0's mape: 0.00924374\n",
      "[56000]\tvalid_0's mape: 0.00923173\n",
      "[58000]\tvalid_0's mape: 0.00922105\n",
      "[60000]\tvalid_0's mape: 0.00921116\n",
      "[62000]\tvalid_0's mape: 0.00920216\n",
      "[64000]\tvalid_0's mape: 0.00919374\n",
      "[66000]\tvalid_0's mape: 0.00918598\n",
      "[68000]\tvalid_0's mape: 0.00917858\n",
      "[70000]\tvalid_0's mape: 0.00917177\n",
      "[72000]\tvalid_0's mape: 0.009165\n",
      "[74000]\tvalid_0's mape: 0.00915876\n",
      "[76000]\tvalid_0's mape: 0.00915311\n",
      "[78000]\tvalid_0's mape: 0.00914784\n",
      "[80000]\tvalid_0's mape: 0.0091427\n",
      "[82000]\tvalid_0's mape: 0.00913799\n",
      "[84000]\tvalid_0's mape: 0.00913348\n",
      "[86000]\tvalid_0's mape: 0.00912923\n",
      "[88000]\tvalid_0's mape: 0.00912535\n",
      "[90000]\tvalid_0's mape: 0.00912162\n",
      "[92000]\tvalid_0's mape: 0.00911818\n",
      "[94000]\tvalid_0's mape: 0.00911491\n",
      "[96000]\tvalid_0's mape: 0.00911168\n",
      "[98000]\tvalid_0's mape: 0.00910854\n",
      "[100000]\tvalid_0's mape: 0.00910576\n",
      "[102000]\tvalid_0's mape: 0.00910315\n",
      "[104000]\tvalid_0's mape: 0.00910051\n",
      "[106000]\tvalid_0's mape: 0.00909796\n",
      "[108000]\tvalid_0's mape: 0.0090955\n",
      "[110000]\tvalid_0's mape: 0.00909314\n",
      "[112000]\tvalid_0's mape: 0.00909084\n",
      "[114000]\tvalid_0's mape: 0.00908862\n",
      "[116000]\tvalid_0's mape: 0.00908635\n",
      "[118000]\tvalid_0's mape: 0.00908419\n",
      "[120000]\tvalid_0's mape: 0.00908222\n",
      "[122000]\tvalid_0's mape: 0.00908019\n",
      "[124000]\tvalid_0's mape: 0.00907832\n",
      "[126000]\tvalid_0's mape: 0.00907636\n",
      "[128000]\tvalid_0's mape: 0.00907465\n",
      "[130000]\tvalid_0's mape: 0.00907295\n",
      "[132000]\tvalid_0's mape: 0.00907144\n",
      "[134000]\tvalid_0's mape: 0.00907002\n",
      "[136000]\tvalid_0's mape: 0.00906859\n",
      "[138000]\tvalid_0's mape: 0.00906703\n",
      "[140000]\tvalid_0's mape: 0.0090655\n",
      "[142000]\tvalid_0's mape: 0.00906417\n",
      "[144000]\tvalid_0's mape: 0.00906268\n",
      "[146000]\tvalid_0's mape: 0.00906148\n",
      "[148000]\tvalid_0's mape: 0.00906021\n",
      "[150000]\tvalid_0's mape: 0.0090591\n",
      "[152000]\tvalid_0's mape: 0.00905773\n",
      "[154000]\tvalid_0's mape: 0.00905631\n",
      "[156000]\tvalid_0's mape: 0.00905514\n",
      "[158000]\tvalid_0's mape: 0.00905401\n",
      "[160000]\tvalid_0's mape: 0.00905305\n",
      "[162000]\tvalid_0's mape: 0.009052\n",
      "[164000]\tvalid_0's mape: 0.00905099\n",
      "[166000]\tvalid_0's mape: 0.00905017\n",
      "[168000]\tvalid_0's mape: 0.00904927\n",
      "[170000]\tvalid_0's mape: 0.00904838\n",
      "[172000]\tvalid_0's mape: 0.00904763\n",
      "[174000]\tvalid_0's mape: 0.00904686\n",
      "[176000]\tvalid_0's mape: 0.00904612\n",
      "[178000]\tvalid_0's mape: 0.00904535\n",
      "[180000]\tvalid_0's mape: 0.00904469\n",
      "[182000]\tvalid_0's mape: 0.00904401\n",
      "[184000]\tvalid_0's mape: 0.00904337\n",
      "[186000]\tvalid_0's mape: 0.00904278\n",
      "[188000]\tvalid_0's mape: 0.00904218\n",
      "[190000]\tvalid_0's mape: 0.00904168\n",
      "[192000]\tvalid_0's mape: 0.00904121\n",
      "[194000]\tvalid_0's mape: 0.00904067\n",
      "[196000]\tvalid_0's mape: 0.00904015\n",
      "[198000]\tvalid_0's mape: 0.00903964\n",
      "[200000]\tvalid_0's mape: 0.00903918\n",
      "[202000]\tvalid_0's mape: 0.00903871\n",
      "[204000]\tvalid_0's mape: 0.00903826\n",
      "[206000]\tvalid_0's mape: 0.00903784\n",
      "[208000]\tvalid_0's mape: 0.00903749\n",
      "[210000]\tvalid_0's mape: 0.00903716\n",
      "[212000]\tvalid_0's mape: 0.00903679\n",
      "[214000]\tvalid_0's mape: 0.00903643\n",
      "[216000]\tvalid_0's mape: 0.00903604\n",
      "[218000]\tvalid_0's mape: 0.00903568\n",
      "[220000]\tvalid_0's mape: 0.00903531\n",
      "[222000]\tvalid_0's mape: 0.00903493\n",
      "[224000]\tvalid_0's mape: 0.00903456\n",
      "[226000]\tvalid_0's mape: 0.00903424\n",
      "[228000]\tvalid_0's mape: 0.00903391\n",
      "[230000]\tvalid_0's mape: 0.00903357\n",
      "[232000]\tvalid_0's mape: 0.00903325\n",
      "[234000]\tvalid_0's mape: 0.00903292\n",
      "[236000]\tvalid_0's mape: 0.00903264\n",
      "[238000]\tvalid_0's mape: 0.00903236\n",
      "[240000]\tvalid_0's mape: 0.00903205\n",
      "[242000]\tvalid_0's mape: 0.00903177\n",
      "[244000]\tvalid_0's mape: 0.00903151\n",
      "[246000]\tvalid_0's mape: 0.00903128\n",
      "[248000]\tvalid_0's mape: 0.00903102\n",
      "[250000]\tvalid_0's mape: 0.00903078\n",
      "[252000]\tvalid_0's mape: 0.00903052\n",
      "[254000]\tvalid_0's mape: 0.00903028\n",
      "[256000]\tvalid_0's mape: 0.00903004\n",
      "[258000]\tvalid_0's mape: 0.00902982\n",
      "[260000]\tvalid_0's mape: 0.0090296\n",
      "[262000]\tvalid_0's mape: 0.00902936\n",
      "[264000]\tvalid_0's mape: 0.00902912\n",
      "[266000]\tvalid_0's mape: 0.00902889\n",
      "[268000]\tvalid_0's mape: 0.00902867\n",
      "[270000]\tvalid_0's mape: 0.00902842\n",
      "[272000]\tvalid_0's mape: 0.00902823\n",
      "[274000]\tvalid_0's mape: 0.00902799\n",
      "[276000]\tvalid_0's mape: 0.00902782\n",
      "[278000]\tvalid_0's mape: 0.00902764\n",
      "[280000]\tvalid_0's mape: 0.00902743\n",
      "[282000]\tvalid_0's mape: 0.00902725\n",
      "[284000]\tvalid_0's mape: 0.00902709\n",
      "[286000]\tvalid_0's mape: 0.00902693\n",
      "[288000]\tvalid_0's mape: 0.00902676\n",
      "[290000]\tvalid_0's mape: 0.00902662\n",
      "[292000]\tvalid_0's mape: 0.00902647\n",
      "[294000]\tvalid_0's mape: 0.00902634\n",
      "[296000]\tvalid_0's mape: 0.00902618\n",
      "[298000]\tvalid_0's mape: 0.00902603\n",
      "[300000]\tvalid_0's mape: 0.00902587\n",
      "[302000]\tvalid_0's mape: 0.00902573\n",
      "[304000]\tvalid_0's mape: 0.00902559\n",
      "[306000]\tvalid_0's mape: 0.00902545\n",
      "[308000]\tvalid_0's mape: 0.00902532\n",
      "[310000]\tvalid_0's mape: 0.00902519\n",
      "[312000]\tvalid_0's mape: 0.00902508\n",
      "[314000]\tvalid_0's mape: 0.00902496\n",
      "[316000]\tvalid_0's mape: 0.00902485\n",
      "[318000]\tvalid_0's mape: 0.00902474\n",
      "[320000]\tvalid_0's mape: 0.00902465\n",
      "[322000]\tvalid_0's mape: 0.00902456\n",
      "[324000]\tvalid_0's mape: 0.00902447\n",
      "[326000]\tvalid_0's mape: 0.00902437\n",
      "[328000]\tvalid_0's mape: 0.00902427\n",
      "[330000]\tvalid_0's mape: 0.00902418\n",
      "[332000]\tvalid_0's mape: 0.00902408\n",
      "[334000]\tvalid_0's mape: 0.00902398\n",
      "[336000]\tvalid_0's mape: 0.00902388\n",
      "[338000]\tvalid_0's mape: 0.00902379\n",
      "[340000]\tvalid_0's mape: 0.0090237\n",
      "[342000]\tvalid_0's mape: 0.00902361\n",
      "[344000]\tvalid_0's mape: 0.00902352\n",
      "[346000]\tvalid_0's mape: 0.00902344\n",
      "[348000]\tvalid_0's mape: 0.00902337\n",
      "[350000]\tvalid_0's mape: 0.0090233\n",
      "[352000]\tvalid_0's mape: 0.00902322\n",
      "[354000]\tvalid_0's mape: 0.00902313\n",
      "[356000]\tvalid_0's mape: 0.00902306\n",
      "[358000]\tvalid_0's mape: 0.00902298\n",
      "[360000]\tvalid_0's mape: 0.0090229\n",
      "[362000]\tvalid_0's mape: 0.00902284\n",
      "[364000]\tvalid_0's mape: 0.0090228\n",
      "[366000]\tvalid_0's mape: 0.00902273\n",
      "[368000]\tvalid_0's mape: 0.00902266\n",
      "[370000]\tvalid_0's mape: 0.0090226\n",
      "[372000]\tvalid_0's mape: 0.00902253\n",
      "[374000]\tvalid_0's mape: 0.00902247\n",
      "Early stopping, best iteration is:\n",
      "[374365]\tvalid_0's mape: 0.00902247\n",
      "(Fold 0) score, mse, mae, mape: 5840.87653, 0.03536, 0.12000, 0.00902.\n",
      "Training until validation scores don't improve for 1000 rounds.\n",
      "[2000]\tvalid_0's mape: 0.0265598\n",
      "[4000]\tvalid_0's mape: 0.0158483\n",
      "[6000]\tvalid_0's mape: 0.0126337\n",
      "[8000]\tvalid_0's mape: 0.0114889\n",
      "[10000]\tvalid_0's mape: 0.010935\n",
      "[12000]\tvalid_0's mape: 0.0105962\n",
      "[14000]\tvalid_0's mape: 0.0103668\n",
      "[16000]\tvalid_0's mape: 0.0101983\n",
      "[18000]\tvalid_0's mape: 0.0100694\n",
      "[20000]\tvalid_0's mape: 0.00996508\n",
      "[22000]\tvalid_0's mape: 0.00987741\n",
      "[24000]\tvalid_0's mape: 0.00980516\n",
      "[26000]\tvalid_0's mape: 0.00974232\n",
      "[28000]\tvalid_0's mape: 0.00968846\n",
      "[30000]\tvalid_0's mape: 0.00964371\n",
      "[32000]\tvalid_0's mape: 0.00960536\n",
      "[34000]\tvalid_0's mape: 0.00957152\n",
      "[36000]\tvalid_0's mape: 0.00954237\n",
      "[38000]\tvalid_0's mape: 0.00951532\n",
      "[40000]\tvalid_0's mape: 0.00949206\n",
      "[42000]\tvalid_0's mape: 0.00947025\n",
      "[44000]\tvalid_0's mape: 0.00945043\n",
      "[46000]\tvalid_0's mape: 0.00943158\n",
      "[48000]\tvalid_0's mape: 0.00941389\n",
      "[50000]\tvalid_0's mape: 0.00939775\n",
      "[52000]\tvalid_0's mape: 0.00938289\n",
      "[54000]\tvalid_0's mape: 0.00936928\n",
      "[56000]\tvalid_0's mape: 0.00935663\n",
      "[58000]\tvalid_0's mape: 0.00934509\n",
      "[60000]\tvalid_0's mape: 0.00933417\n",
      "[62000]\tvalid_0's mape: 0.00932346\n",
      "[64000]\tvalid_0's mape: 0.00931413\n",
      "[66000]\tvalid_0's mape: 0.00930494\n",
      "[68000]\tvalid_0's mape: 0.00929645\n",
      "[70000]\tvalid_0's mape: 0.0092885\n",
      "[72000]\tvalid_0's mape: 0.00928134\n",
      "[74000]\tvalid_0's mape: 0.00927445\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[76000]\tvalid_0's mape: 0.00926804\n",
      "[78000]\tvalid_0's mape: 0.00926196\n",
      "[80000]\tvalid_0's mape: 0.0092562\n",
      "[82000]\tvalid_0's mape: 0.0092508\n",
      "[84000]\tvalid_0's mape: 0.00924558\n",
      "[86000]\tvalid_0's mape: 0.00924069\n",
      "[88000]\tvalid_0's mape: 0.009236\n",
      "[90000]\tvalid_0's mape: 0.00923134\n",
      "[92000]\tvalid_0's mape: 0.00922701\n",
      "[94000]\tvalid_0's mape: 0.00922279\n",
      "[96000]\tvalid_0's mape: 0.00921877\n",
      "[98000]\tvalid_0's mape: 0.00921492\n",
      "[100000]\tvalid_0's mape: 0.00921129\n",
      "[102000]\tvalid_0's mape: 0.0092078\n",
      "[104000]\tvalid_0's mape: 0.00920457\n",
      "[106000]\tvalid_0's mape: 0.00920162\n",
      "[108000]\tvalid_0's mape: 0.00919902\n",
      "[110000]\tvalid_0's mape: 0.00919636\n",
      "[112000]\tvalid_0's mape: 0.00919376\n",
      "[114000]\tvalid_0's mape: 0.00919131\n",
      "[116000]\tvalid_0's mape: 0.00918902\n",
      "[118000]\tvalid_0's mape: 0.00918685\n",
      "[120000]\tvalid_0's mape: 0.00918492\n",
      "[122000]\tvalid_0's mape: 0.00918301\n",
      "[124000]\tvalid_0's mape: 0.00918108\n",
      "[126000]\tvalid_0's mape: 0.0091792\n",
      "[128000]\tvalid_0's mape: 0.00917731\n",
      "[130000]\tvalid_0's mape: 0.00917556\n",
      "[132000]\tvalid_0's mape: 0.00917389\n",
      "[134000]\tvalid_0's mape: 0.00917222\n",
      "[136000]\tvalid_0's mape: 0.00917057\n",
      "[138000]\tvalid_0's mape: 0.00916897\n",
      "[140000]\tvalid_0's mape: 0.00916755\n",
      "[142000]\tvalid_0's mape: 0.00916602\n",
      "[144000]\tvalid_0's mape: 0.00916456\n",
      "[146000]\tvalid_0's mape: 0.00916322\n",
      "[148000]\tvalid_0's mape: 0.00916195\n",
      "[150000]\tvalid_0's mape: 0.00916064\n",
      "[152000]\tvalid_0's mape: 0.00915948\n",
      "[154000]\tvalid_0's mape: 0.00915841\n",
      "[156000]\tvalid_0's mape: 0.00915732\n",
      "[158000]\tvalid_0's mape: 0.00915622\n",
      "[160000]\tvalid_0's mape: 0.0091552\n",
      "[162000]\tvalid_0's mape: 0.00915421\n",
      "[164000]\tvalid_0's mape: 0.00915339\n",
      "[166000]\tvalid_0's mape: 0.00915256\n",
      "[168000]\tvalid_0's mape: 0.00915176\n",
      "[170000]\tvalid_0's mape: 0.00915098\n",
      "[172000]\tvalid_0's mape: 0.00915013\n",
      "[174000]\tvalid_0's mape: 0.00914934\n",
      "[176000]\tvalid_0's mape: 0.00914861\n",
      "[178000]\tvalid_0's mape: 0.00914787\n",
      "[180000]\tvalid_0's mape: 0.00914713\n",
      "[182000]\tvalid_0's mape: 0.0091464\n",
      "[184000]\tvalid_0's mape: 0.00914572\n",
      "[186000]\tvalid_0's mape: 0.00914497\n",
      "[188000]\tvalid_0's mape: 0.00914435\n",
      "[190000]\tvalid_0's mape: 0.00914376\n",
      "[192000]\tvalid_0's mape: 0.00914317\n",
      "[194000]\tvalid_0's mape: 0.00914258\n",
      "[196000]\tvalid_0's mape: 0.00914206\n",
      "[198000]\tvalid_0's mape: 0.00914145\n",
      "[200000]\tvalid_0's mape: 0.00914083\n",
      "[202000]\tvalid_0's mape: 0.00914027\n",
      "[204000]\tvalid_0's mape: 0.00913976\n",
      "[206000]\tvalid_0's mape: 0.00913925\n",
      "[208000]\tvalid_0's mape: 0.00913871\n",
      "[210000]\tvalid_0's mape: 0.00913826\n",
      "[212000]\tvalid_0's mape: 0.0091378\n",
      "[214000]\tvalid_0's mape: 0.00913736\n",
      "[216000]\tvalid_0's mape: 0.0091369\n",
      "[218000]\tvalid_0's mape: 0.00913638\n",
      "[220000]\tvalid_0's mape: 0.00913592\n",
      "[222000]\tvalid_0's mape: 0.00913555\n",
      "[224000]\tvalid_0's mape: 0.00913513\n",
      "[226000]\tvalid_0's mape: 0.00913468\n",
      "[228000]\tvalid_0's mape: 0.00913433\n",
      "[230000]\tvalid_0's mape: 0.00913396\n",
      "[232000]\tvalid_0's mape: 0.00913365\n",
      "[234000]\tvalid_0's mape: 0.00913336\n",
      "[236000]\tvalid_0's mape: 0.00913306\n",
      "[238000]\tvalid_0's mape: 0.00913273\n",
      "[240000]\tvalid_0's mape: 0.00913237\n",
      "[242000]\tvalid_0's mape: 0.00913206\n",
      "[244000]\tvalid_0's mape: 0.00913176\n",
      "[246000]\tvalid_0's mape: 0.00913144\n",
      "[248000]\tvalid_0's mape: 0.00913113\n",
      "[250000]\tvalid_0's mape: 0.00913084\n",
      "[252000]\tvalid_0's mape: 0.00913062\n",
      "[254000]\tvalid_0's mape: 0.00913037\n",
      "[256000]\tvalid_0's mape: 0.00913014\n",
      "[258000]\tvalid_0's mape: 0.00912992\n",
      "[260000]\tvalid_0's mape: 0.00912967\n",
      "[262000]\tvalid_0's mape: 0.00912945\n",
      "[264000]\tvalid_0's mape: 0.00912924\n",
      "[266000]\tvalid_0's mape: 0.00912901\n",
      "[268000]\tvalid_0's mape: 0.0091288\n",
      "[270000]\tvalid_0's mape: 0.00912861\n",
      "[272000]\tvalid_0's mape: 0.0091284\n",
      "[274000]\tvalid_0's mape: 0.00912819\n",
      "[276000]\tvalid_0's mape: 0.00912801\n",
      "[278000]\tvalid_0's mape: 0.00912779\n",
      "[280000]\tvalid_0's mape: 0.00912761\n",
      "[282000]\tvalid_0's mape: 0.00912742\n",
      "[284000]\tvalid_0's mape: 0.00912727\n",
      "[286000]\tvalid_0's mape: 0.00912711\n",
      "[288000]\tvalid_0's mape: 0.00912693\n",
      "[290000]\tvalid_0's mape: 0.00912672\n",
      "[292000]\tvalid_0's mape: 0.00912652\n",
      "[294000]\tvalid_0's mape: 0.00912635\n",
      "[296000]\tvalid_0's mape: 0.00912617\n",
      "[298000]\tvalid_0's mape: 0.00912597\n",
      "[300000]\tvalid_0's mape: 0.0091258\n",
      "[302000]\tvalid_0's mape: 0.00912563\n",
      "[304000]\tvalid_0's mape: 0.00912547\n",
      "[306000]\tvalid_0's mape: 0.00912532\n",
      "[308000]\tvalid_0's mape: 0.00912517\n",
      "[310000]\tvalid_0's mape: 0.00912503\n",
      "[312000]\tvalid_0's mape: 0.00912489\n",
      "[314000]\tvalid_0's mape: 0.00912476\n",
      "[316000]\tvalid_0's mape: 0.00912463\n",
      "[318000]\tvalid_0's mape: 0.00912449\n",
      "[320000]\tvalid_0's mape: 0.00912437\n",
      "[322000]\tvalid_0's mape: 0.00912425\n",
      "[324000]\tvalid_0's mape: 0.00912414\n",
      "[326000]\tvalid_0's mape: 0.00912401\n",
      "[328000]\tvalid_0's mape: 0.00912388\n",
      "[330000]\tvalid_0's mape: 0.00912375\n",
      "[332000]\tvalid_0's mape: 0.00912364\n",
      "[334000]\tvalid_0's mape: 0.00912353\n",
      "[336000]\tvalid_0's mape: 0.00912341\n",
      "[338000]\tvalid_0's mape: 0.0091233\n",
      "[340000]\tvalid_0's mape: 0.00912319\n",
      "[342000]\tvalid_0's mape: 0.00912309\n",
      "[344000]\tvalid_0's mape: 0.009123\n",
      "[346000]\tvalid_0's mape: 0.00912288\n",
      "[348000]\tvalid_0's mape: 0.00912278\n",
      "[350000]\tvalid_0's mape: 0.00912269\n",
      "[352000]\tvalid_0's mape: 0.00912261\n",
      "[354000]\tvalid_0's mape: 0.00912251\n",
      "[356000]\tvalid_0's mape: 0.00912242\n",
      "[358000]\tvalid_0's mape: 0.00912233\n",
      "[360000]\tvalid_0's mape: 0.00912226\n",
      "[362000]\tvalid_0's mape: 0.00912218\n",
      "[364000]\tvalid_0's mape: 0.0091221\n",
      "[366000]\tvalid_0's mape: 0.00912202\n",
      "[368000]\tvalid_0's mape: 0.00912195\n",
      "[370000]\tvalid_0's mape: 0.00912188\n",
      "[372000]\tvalid_0's mape: 0.00912181\n",
      "[374000]\tvalid_0's mape: 0.00912173\n",
      "[376000]\tvalid_0's mape: 0.00912166\n",
      "[378000]\tvalid_0's mape: 0.00912159\n",
      "[380000]\tvalid_0's mape: 0.00912152\n",
      "[382000]\tvalid_0's mape: 0.00912147\n",
      "[384000]\tvalid_0's mape: 0.00912142\n",
      "[386000]\tvalid_0's mape: 0.00912137\n",
      "[388000]\tvalid_0's mape: 0.00912131\n",
      "Early stopping, best iteration is:\n",
      "[388700]\tvalid_0's mape: 0.00912129\n",
      "(Fold 1) score, mse, mae, mape: 5978.87437, 0.03858, 0.12150, 0.00912.\n",
      "Training until validation scores don't improve for 1000 rounds.\n",
      "[2000]\tvalid_0's mape: 0.0262475\n",
      "[4000]\tvalid_0's mape: 0.0155763\n",
      "[6000]\tvalid_0's mape: 0.0124317\n",
      "[8000]\tvalid_0's mape: 0.0113326\n",
      "[10000]\tvalid_0's mape: 0.0108019\n",
      "[12000]\tvalid_0's mape: 0.0104821\n",
      "[14000]\tvalid_0's mape: 0.0102668\n",
      "[16000]\tvalid_0's mape: 0.0101077\n",
      "[18000]\tvalid_0's mape: 0.00998711\n",
      "[20000]\tvalid_0's mape: 0.00988941\n",
      "[22000]\tvalid_0's mape: 0.00980696\n",
      "[24000]\tvalid_0's mape: 0.00973886\n",
      "[26000]\tvalid_0's mape: 0.00968034\n",
      "[28000]\tvalid_0's mape: 0.00963068\n",
      "[30000]\tvalid_0's mape: 0.00958902\n",
      "[32000]\tvalid_0's mape: 0.00955255\n",
      "[34000]\tvalid_0's mape: 0.00952075\n",
      "[36000]\tvalid_0's mape: 0.00949293\n",
      "[38000]\tvalid_0's mape: 0.00946784\n",
      "[40000]\tvalid_0's mape: 0.00944559\n",
      "[42000]\tvalid_0's mape: 0.00942566\n",
      "[44000]\tvalid_0's mape: 0.00940777\n",
      "[46000]\tvalid_0's mape: 0.00939132\n",
      "[48000]\tvalid_0's mape: 0.00937609\n",
      "[50000]\tvalid_0's mape: 0.0093615\n",
      "[52000]\tvalid_0's mape: 0.00934782\n",
      "[54000]\tvalid_0's mape: 0.00933489\n",
      "[56000]\tvalid_0's mape: 0.00932281\n",
      "[58000]\tvalid_0's mape: 0.00931148\n",
      "[60000]\tvalid_0's mape: 0.00930093\n",
      "[62000]\tvalid_0's mape: 0.00929087\n",
      "[64000]\tvalid_0's mape: 0.00928168\n",
      "[66000]\tvalid_0's mape: 0.00927302\n",
      "[68000]\tvalid_0's mape: 0.00926505\n",
      "[70000]\tvalid_0's mape: 0.00925748\n",
      "[72000]\tvalid_0's mape: 0.00925065\n",
      "[74000]\tvalid_0's mape: 0.0092441\n",
      "[76000]\tvalid_0's mape: 0.00923803\n",
      "[78000]\tvalid_0's mape: 0.00923204\n",
      "[80000]\tvalid_0's mape: 0.00922638\n",
      "[82000]\tvalid_0's mape: 0.0092213\n",
      "[84000]\tvalid_0's mape: 0.00921653\n",
      "[86000]\tvalid_0's mape: 0.00921176\n",
      "[88000]\tvalid_0's mape: 0.00920748\n",
      "[90000]\tvalid_0's mape: 0.00920323\n",
      "[92000]\tvalid_0's mape: 0.00919922\n",
      "[94000]\tvalid_0's mape: 0.00919511\n",
      "[96000]\tvalid_0's mape: 0.00919124\n",
      "[98000]\tvalid_0's mape: 0.0091879\n",
      "[100000]\tvalid_0's mape: 0.00918451\n",
      "[102000]\tvalid_0's mape: 0.00918133\n",
      "[104000]\tvalid_0's mape: 0.00917855\n",
      "[106000]\tvalid_0's mape: 0.00917578\n",
      "[108000]\tvalid_0's mape: 0.00917311\n",
      "[110000]\tvalid_0's mape: 0.00917055\n",
      "[112000]\tvalid_0's mape: 0.00916813\n",
      "[114000]\tvalid_0's mape: 0.00916578\n",
      "[116000]\tvalid_0's mape: 0.0091635\n",
      "[118000]\tvalid_0's mape: 0.00916136\n",
      "[120000]\tvalid_0's mape: 0.00915923\n",
      "[122000]\tvalid_0's mape: 0.00915726\n",
      "[124000]\tvalid_0's mape: 0.00915533\n",
      "[126000]\tvalid_0's mape: 0.00915349\n",
      "[128000]\tvalid_0's mape: 0.00915181\n",
      "[130000]\tvalid_0's mape: 0.00915015\n",
      "[132000]\tvalid_0's mape: 0.00914864\n",
      "[134000]\tvalid_0's mape: 0.00914722\n",
      "[136000]\tvalid_0's mape: 0.00914581\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[138000]\tvalid_0's mape: 0.00914447\n",
      "[140000]\tvalid_0's mape: 0.00914321\n",
      "[142000]\tvalid_0's mape: 0.00914193\n",
      "[144000]\tvalid_0's mape: 0.00914075\n",
      "[146000]\tvalid_0's mape: 0.00913962\n",
      "[148000]\tvalid_0's mape: 0.00913845\n",
      "[150000]\tvalid_0's mape: 0.00913728\n",
      "[152000]\tvalid_0's mape: 0.00913621\n",
      "[154000]\tvalid_0's mape: 0.00913507\n",
      "[156000]\tvalid_0's mape: 0.00913406\n",
      "[158000]\tvalid_0's mape: 0.00913309\n",
      "[160000]\tvalid_0's mape: 0.00913205\n",
      "[162000]\tvalid_0's mape: 0.00913118\n",
      "[164000]\tvalid_0's mape: 0.00913037\n",
      "[166000]\tvalid_0's mape: 0.00912963\n",
      "[168000]\tvalid_0's mape: 0.00912894\n",
      "[170000]\tvalid_0's mape: 0.00912821\n",
      "[172000]\tvalid_0's mape: 0.00912745\n",
      "[174000]\tvalid_0's mape: 0.00912672\n",
      "[176000]\tvalid_0's mape: 0.00912613\n",
      "[178000]\tvalid_0's mape: 0.00912559\n",
      "[180000]\tvalid_0's mape: 0.00912497\n",
      "[182000]\tvalid_0's mape: 0.00912437\n",
      "[184000]\tvalid_0's mape: 0.00912364\n",
      "[186000]\tvalid_0's mape: 0.00912302\n",
      "[188000]\tvalid_0's mape: 0.0091224\n",
      "[190000]\tvalid_0's mape: 0.00912188\n",
      "[192000]\tvalid_0's mape: 0.00912137\n",
      "[194000]\tvalid_0's mape: 0.00912084\n",
      "[196000]\tvalid_0's mape: 0.00912036\n",
      "[198000]\tvalid_0's mape: 0.00911985\n",
      "[200000]\tvalid_0's mape: 0.0091193\n",
      "[202000]\tvalid_0's mape: 0.00911876\n",
      "[204000]\tvalid_0's mape: 0.00911824\n",
      "[206000]\tvalid_0's mape: 0.00911785\n",
      "[208000]\tvalid_0's mape: 0.00911747\n",
      "[210000]\tvalid_0's mape: 0.00911706\n",
      "[212000]\tvalid_0's mape: 0.00911667\n",
      "[214000]\tvalid_0's mape: 0.00911633\n",
      "[216000]\tvalid_0's mape: 0.0091159\n",
      "[218000]\tvalid_0's mape: 0.00911537\n",
      "[220000]\tvalid_0's mape: 0.00911487\n",
      "[222000]\tvalid_0's mape: 0.00911438\n",
      "[224000]\tvalid_0's mape: 0.00911392\n",
      "[226000]\tvalid_0's mape: 0.00911349\n",
      "[228000]\tvalid_0's mape: 0.00911307\n",
      "[230000]\tvalid_0's mape: 0.00911267\n",
      "[232000]\tvalid_0's mape: 0.00911231\n",
      "[234000]\tvalid_0's mape: 0.00911189\n",
      "[236000]\tvalid_0's mape: 0.00911146\n",
      "[238000]\tvalid_0's mape: 0.00911111\n",
      "[240000]\tvalid_0's mape: 0.00911081\n",
      "[242000]\tvalid_0's mape: 0.00911056\n",
      "[244000]\tvalid_0's mape: 0.00911029\n",
      "[246000]\tvalid_0's mape: 0.00911005\n",
      "[248000]\tvalid_0's mape: 0.00910982\n",
      "[250000]\tvalid_0's mape: 0.00910961\n",
      "[252000]\tvalid_0's mape: 0.00910939\n",
      "[254000]\tvalid_0's mape: 0.00910916\n",
      "[256000]\tvalid_0's mape: 0.00910893\n",
      "[258000]\tvalid_0's mape: 0.00910872\n",
      "[260000]\tvalid_0's mape: 0.00910853\n",
      "[262000]\tvalid_0's mape: 0.00910833\n",
      "[264000]\tvalid_0's mape: 0.00910813\n",
      "[266000]\tvalid_0's mape: 0.00910796\n",
      "[268000]\tvalid_0's mape: 0.00910781\n",
      "[270000]\tvalid_0's mape: 0.00910763\n",
      "[272000]\tvalid_0's mape: 0.00910745\n",
      "[274000]\tvalid_0's mape: 0.00910727\n",
      "[276000]\tvalid_0's mape: 0.00910711\n",
      "[278000]\tvalid_0's mape: 0.00910692\n",
      "[280000]\tvalid_0's mape: 0.00910676\n",
      "[282000]\tvalid_0's mape: 0.00910658\n",
      "[284000]\tvalid_0's mape: 0.00910642\n",
      "[286000]\tvalid_0's mape: 0.00910627\n",
      "[288000]\tvalid_0's mape: 0.00910611\n",
      "[290000]\tvalid_0's mape: 0.00910595\n",
      "[292000]\tvalid_0's mape: 0.0091058\n",
      "[294000]\tvalid_0's mape: 0.00910565\n",
      "[296000]\tvalid_0's mape: 0.0091055\n",
      "[298000]\tvalid_0's mape: 0.00910538\n",
      "[300000]\tvalid_0's mape: 0.00910526\n",
      "[302000]\tvalid_0's mape: 0.00910513\n",
      "[304000]\tvalid_0's mape: 0.00910499\n",
      "[306000]\tvalid_0's mape: 0.00910488\n",
      "[308000]\tvalid_0's mape: 0.00910475\n",
      "[310000]\tvalid_0's mape: 0.00910464\n",
      "[312000]\tvalid_0's mape: 0.00910451\n",
      "[314000]\tvalid_0's mape: 0.00910437\n",
      "[316000]\tvalid_0's mape: 0.00910425\n",
      "[318000]\tvalid_0's mape: 0.00910414\n",
      "[320000]\tvalid_0's mape: 0.00910404\n",
      "[322000]\tvalid_0's mape: 0.00910393\n",
      "[324000]\tvalid_0's mape: 0.00910383\n",
      "[326000]\tvalid_0's mape: 0.00910372\n",
      "[328000]\tvalid_0's mape: 0.00910363\n",
      "[330000]\tvalid_0's mape: 0.00910354\n",
      "[332000]\tvalid_0's mape: 0.00910345\n",
      "[334000]\tvalid_0's mape: 0.00910336\n",
      "[336000]\tvalid_0's mape: 0.00910327\n",
      "[338000]\tvalid_0's mape: 0.00910317\n",
      "[340000]\tvalid_0's mape: 0.00910308\n",
      "[342000]\tvalid_0's mape: 0.009103\n",
      "[344000]\tvalid_0's mape: 0.00910291\n",
      "[346000]\tvalid_0's mape: 0.00910283\n",
      "[348000]\tvalid_0's mape: 0.00910274\n",
      "[350000]\tvalid_0's mape: 0.00910267\n",
      "[352000]\tvalid_0's mape: 0.0091026\n",
      "[354000]\tvalid_0's mape: 0.00910253\n",
      "[356000]\tvalid_0's mape: 0.00910246\n",
      "[358000]\tvalid_0's mape: 0.00910238\n",
      "[360000]\tvalid_0's mape: 0.00910231\n",
      "[362000]\tvalid_0's mape: 0.00910225\n",
      "[364000]\tvalid_0's mape: 0.00910218\n",
      "[366000]\tvalid_0's mape: 0.00910211\n",
      "[368000]\tvalid_0's mape: 0.00910205\n",
      "[370000]\tvalid_0's mape: 0.00910199\n",
      "[372000]\tvalid_0's mape: 0.00910193\n",
      "[374000]\tvalid_0's mape: 0.00910188\n",
      "[376000]\tvalid_0's mape: 0.00910183\n",
      "[378000]\tvalid_0's mape: 0.00910178\n",
      "[380000]\tvalid_0's mape: 0.00910174\n",
      "[382000]\tvalid_0's mape: 0.00910169\n",
      "[384000]\tvalid_0's mape: 0.00910163\n",
      "Early stopping, best iteration is:\n",
      "[384869]\tvalid_0's mape: 0.00910161\n",
      "(Fold 2) score, mse, mae, mape: 5950.87227, 0.03801, 0.12102, 0.00910.\n",
      "Training until validation scores don't improve for 1000 rounds.\n",
      "[2000]\tvalid_0's mape: 0.0264358\n",
      "[4000]\tvalid_0's mape: 0.0156518\n",
      "[6000]\tvalid_0's mape: 0.0125257\n",
      "[8000]\tvalid_0's mape: 0.0114612\n",
      "[10000]\tvalid_0's mape: 0.0109509\n",
      "[12000]\tvalid_0's mape: 0.0106328\n",
      "[14000]\tvalid_0's mape: 0.0104173\n",
      "[16000]\tvalid_0's mape: 0.0102578\n",
      "[18000]\tvalid_0's mape: 0.0101338\n",
      "[20000]\tvalid_0's mape: 0.0100312\n",
      "[22000]\tvalid_0's mape: 0.00994637\n",
      "[24000]\tvalid_0's mape: 0.00987282\n",
      "[26000]\tvalid_0's mape: 0.00980957\n",
      "[28000]\tvalid_0's mape: 0.00975683\n",
      "[30000]\tvalid_0's mape: 0.00971198\n",
      "[32000]\tvalid_0's mape: 0.00967298\n",
      "[34000]\tvalid_0's mape: 0.00963753\n",
      "[36000]\tvalid_0's mape: 0.00960632\n",
      "[38000]\tvalid_0's mape: 0.00957879\n",
      "[40000]\tvalid_0's mape: 0.00955291\n",
      "[42000]\tvalid_0's mape: 0.00952978\n",
      "[44000]\tvalid_0's mape: 0.00950845\n",
      "[46000]\tvalid_0's mape: 0.00948858\n",
      "[48000]\tvalid_0's mape: 0.00947046\n",
      "[50000]\tvalid_0's mape: 0.00945368\n",
      "[52000]\tvalid_0's mape: 0.00943825\n",
      "[54000]\tvalid_0's mape: 0.00942366\n",
      "[56000]\tvalid_0's mape: 0.00941007\n",
      "[58000]\tvalid_0's mape: 0.00939756\n",
      "[60000]\tvalid_0's mape: 0.00938574\n",
      "[62000]\tvalid_0's mape: 0.00937458\n",
      "[64000]\tvalid_0's mape: 0.00936455\n",
      "[66000]\tvalid_0's mape: 0.0093549\n",
      "[68000]\tvalid_0's mape: 0.00934569\n",
      "[70000]\tvalid_0's mape: 0.00933743\n",
      "[72000]\tvalid_0's mape: 0.00932981\n",
      "[74000]\tvalid_0's mape: 0.0093225\n",
      "[76000]\tvalid_0's mape: 0.00931542\n",
      "[78000]\tvalid_0's mape: 0.00930876\n",
      "[80000]\tvalid_0's mape: 0.0093025\n",
      "[82000]\tvalid_0's mape: 0.00929653\n",
      "[84000]\tvalid_0's mape: 0.00929087\n",
      "[86000]\tvalid_0's mape: 0.0092854\n",
      "[88000]\tvalid_0's mape: 0.0092803\n",
      "[90000]\tvalid_0's mape: 0.00927549\n",
      "[92000]\tvalid_0's mape: 0.00927088\n",
      "[94000]\tvalid_0's mape: 0.00926661\n",
      "[96000]\tvalid_0's mape: 0.00926248\n",
      "[98000]\tvalid_0's mape: 0.0092584\n",
      "[100000]\tvalid_0's mape: 0.00925455\n",
      "[102000]\tvalid_0's mape: 0.0092508\n",
      "[104000]\tvalid_0's mape: 0.00924704\n",
      "[106000]\tvalid_0's mape: 0.00924365\n",
      "[108000]\tvalid_0's mape: 0.0092402\n",
      "[110000]\tvalid_0's mape: 0.00923716\n",
      "[112000]\tvalid_0's mape: 0.00923414\n",
      "[114000]\tvalid_0's mape: 0.00923119\n",
      "[116000]\tvalid_0's mape: 0.00922841\n",
      "[118000]\tvalid_0's mape: 0.0092257\n",
      "[120000]\tvalid_0's mape: 0.00922289\n",
      "[122000]\tvalid_0's mape: 0.00922042\n",
      "[124000]\tvalid_0's mape: 0.00921821\n",
      "[126000]\tvalid_0's mape: 0.00921613\n",
      "[128000]\tvalid_0's mape: 0.00921392\n",
      "[130000]\tvalid_0's mape: 0.00921182\n",
      "[132000]\tvalid_0's mape: 0.00920969\n",
      "[134000]\tvalid_0's mape: 0.00920762\n",
      "[136000]\tvalid_0's mape: 0.00920563\n",
      "[138000]\tvalid_0's mape: 0.00920375\n",
      "[140000]\tvalid_0's mape: 0.00920203\n",
      "[142000]\tvalid_0's mape: 0.00920038\n",
      "[144000]\tvalid_0's mape: 0.00919887\n",
      "[146000]\tvalid_0's mape: 0.0091973\n",
      "[148000]\tvalid_0's mape: 0.00919591\n",
      "[150000]\tvalid_0's mape: 0.0091946\n",
      "[152000]\tvalid_0's mape: 0.00919331\n",
      "[154000]\tvalid_0's mape: 0.00919201\n",
      "[156000]\tvalid_0's mape: 0.0091907\n",
      "[158000]\tvalid_0's mape: 0.00918943\n",
      "[160000]\tvalid_0's mape: 0.00918834\n",
      "[162000]\tvalid_0's mape: 0.00918714\n",
      "[164000]\tvalid_0's mape: 0.00918608\n",
      "[166000]\tvalid_0's mape: 0.00918493\n",
      "[168000]\tvalid_0's mape: 0.00918391\n",
      "[170000]\tvalid_0's mape: 0.00918303\n",
      "[172000]\tvalid_0's mape: 0.00918208\n",
      "[174000]\tvalid_0's mape: 0.00918113\n",
      "[176000]\tvalid_0's mape: 0.00918022\n",
      "[178000]\tvalid_0's mape: 0.00917937\n",
      "[180000]\tvalid_0's mape: 0.00917854\n",
      "[182000]\tvalid_0's mape: 0.00917776\n",
      "[184000]\tvalid_0's mape: 0.00917693\n",
      "[186000]\tvalid_0's mape: 0.00917614\n",
      "[188000]\tvalid_0's mape: 0.00917538\n",
      "[190000]\tvalid_0's mape: 0.00917461\n",
      "[192000]\tvalid_0's mape: 0.00917397\n",
      "[194000]\tvalid_0's mape: 0.00917325\n",
      "[196000]\tvalid_0's mape: 0.00917263\n",
      "[198000]\tvalid_0's mape: 0.00917208\n",
      "[200000]\tvalid_0's mape: 0.00917149\n",
      "[202000]\tvalid_0's mape: 0.0091709\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[204000]\tvalid_0's mape: 0.00917033\n",
      "[206000]\tvalid_0's mape: 0.00916983\n",
      "[208000]\tvalid_0's mape: 0.00916941\n",
      "[210000]\tvalid_0's mape: 0.00916898\n",
      "[212000]\tvalid_0's mape: 0.00916859\n",
      "[214000]\tvalid_0's mape: 0.0091682\n",
      "[216000]\tvalid_0's mape: 0.00916779\n",
      "[218000]\tvalid_0's mape: 0.00916742\n",
      "[220000]\tvalid_0's mape: 0.00916703\n",
      "[222000]\tvalid_0's mape: 0.00916663\n",
      "[224000]\tvalid_0's mape: 0.00916623\n",
      "[226000]\tvalid_0's mape: 0.00916578\n",
      "[228000]\tvalid_0's mape: 0.00916535\n",
      "[230000]\tvalid_0's mape: 0.00916495\n",
      "[232000]\tvalid_0's mape: 0.00916456\n",
      "[234000]\tvalid_0's mape: 0.00916418\n",
      "[236000]\tvalid_0's mape: 0.00916384\n",
      "[238000]\tvalid_0's mape: 0.00916349\n",
      "[240000]\tvalid_0's mape: 0.00916316\n",
      "[242000]\tvalid_0's mape: 0.00916286\n",
      "[244000]\tvalid_0's mape: 0.00916257\n",
      "[246000]\tvalid_0's mape: 0.0091623\n",
      "[248000]\tvalid_0's mape: 0.00916205\n",
      "[250000]\tvalid_0's mape: 0.00916181\n",
      "[252000]\tvalid_0's mape: 0.00916158\n",
      "[254000]\tvalid_0's mape: 0.00916134\n",
      "[256000]\tvalid_0's mape: 0.00916112\n",
      "[258000]\tvalid_0's mape: 0.00916086\n",
      "[260000]\tvalid_0's mape: 0.0091606\n",
      "[262000]\tvalid_0's mape: 0.00916036\n",
      "[264000]\tvalid_0's mape: 0.00916011\n",
      "[266000]\tvalid_0's mape: 0.00915987\n",
      "[268000]\tvalid_0's mape: 0.00915966\n",
      "[270000]\tvalid_0's mape: 0.00915944\n",
      "[272000]\tvalid_0's mape: 0.00915922\n",
      "[274000]\tvalid_0's mape: 0.00915903\n",
      "[276000]\tvalid_0's mape: 0.00915882\n",
      "[278000]\tvalid_0's mape: 0.00915862\n",
      "[280000]\tvalid_0's mape: 0.00915843\n",
      "[282000]\tvalid_0's mape: 0.00915824\n",
      "[284000]\tvalid_0's mape: 0.00915808\n",
      "[286000]\tvalid_0's mape: 0.00915791\n",
      "[288000]\tvalid_0's mape: 0.00915772\n",
      "[290000]\tvalid_0's mape: 0.00915757\n",
      "[292000]\tvalid_0's mape: 0.0091574\n",
      "[294000]\tvalid_0's mape: 0.00915723\n",
      "[296000]\tvalid_0's mape: 0.00915706\n",
      "[298000]\tvalid_0's mape: 0.00915689\n",
      "[300000]\tvalid_0's mape: 0.00915676\n",
      "[302000]\tvalid_0's mape: 0.0091566\n",
      "[304000]\tvalid_0's mape: 0.00915645\n",
      "[306000]\tvalid_0's mape: 0.0091563\n",
      "[308000]\tvalid_0's mape: 0.00915616\n",
      "[310000]\tvalid_0's mape: 0.009156\n",
      "[312000]\tvalid_0's mape: 0.00915585\n",
      "[314000]\tvalid_0's mape: 0.0091557\n",
      "[316000]\tvalid_0's mape: 0.00915556\n",
      "[318000]\tvalid_0's mape: 0.00915543\n",
      "[320000]\tvalid_0's mape: 0.0091553\n",
      "[322000]\tvalid_0's mape: 0.00915516\n",
      "[324000]\tvalid_0's mape: 0.00915502\n",
      "[326000]\tvalid_0's mape: 0.00915489\n",
      "[328000]\tvalid_0's mape: 0.00915479\n",
      "[330000]\tvalid_0's mape: 0.00915467\n",
      "[332000]\tvalid_0's mape: 0.00915457\n",
      "[334000]\tvalid_0's mape: 0.00915447\n",
      "[336000]\tvalid_0's mape: 0.00915438\n",
      "[338000]\tvalid_0's mape: 0.00915428\n",
      "[340000]\tvalid_0's mape: 0.00915418\n",
      "[342000]\tvalid_0's mape: 0.00915408\n",
      "[344000]\tvalid_0's mape: 0.00915399\n",
      "[346000]\tvalid_0's mape: 0.0091539\n",
      "[348000]\tvalid_0's mape: 0.00915382\n",
      "[350000]\tvalid_0's mape: 0.00915373\n",
      "[352000]\tvalid_0's mape: 0.00915363\n",
      "[354000]\tvalid_0's mape: 0.00915355\n",
      "[356000]\tvalid_0's mape: 0.00915348\n",
      "[358000]\tvalid_0's mape: 0.0091534\n",
      "[360000]\tvalid_0's mape: 0.00915333\n",
      "[362000]\tvalid_0's mape: 0.00915328\n",
      "[364000]\tvalid_0's mape: 0.00915322\n",
      "[366000]\tvalid_0's mape: 0.00915316\n",
      "[368000]\tvalid_0's mape: 0.00915309\n",
      "[370000]\tvalid_0's mape: 0.00915303\n",
      "[372000]\tvalid_0's mape: 0.00915296\n",
      "[374000]\tvalid_0's mape: 0.0091529\n",
      "[376000]\tvalid_0's mape: 0.00915283\n",
      "[378000]\tvalid_0's mape: 0.00915278\n",
      "Early stopping, best iteration is:\n",
      "[378898]\tvalid_0's mape: 0.00915277\n",
      "(Fold 3) score, mse, mae, mape: 5874.87474, 0.03718, 0.12184, 0.00915.\n",
      "Training until validation scores don't improve for 1000 rounds.\n",
      "[2000]\tvalid_0's mape: 0.0267416\n",
      "[4000]\tvalid_0's mape: 0.0158909\n",
      "[6000]\tvalid_0's mape: 0.0125947\n",
      "[8000]\tvalid_0's mape: 0.0114158\n",
      "[10000]\tvalid_0's mape: 0.0108412\n",
      "[12000]\tvalid_0's mape: 0.0105006\n",
      "[14000]\tvalid_0's mape: 0.0102725\n",
      "[16000]\tvalid_0's mape: 0.0101035\n",
      "[18000]\tvalid_0's mape: 0.009975\n",
      "[20000]\tvalid_0's mape: 0.00987146\n",
      "[22000]\tvalid_0's mape: 0.00978636\n",
      "[24000]\tvalid_0's mape: 0.00971397\n",
      "[26000]\tvalid_0's mape: 0.00965403\n",
      "[28000]\tvalid_0's mape: 0.00960283\n",
      "[30000]\tvalid_0's mape: 0.00955883\n",
      "[32000]\tvalid_0's mape: 0.00952057\n",
      "[34000]\tvalid_0's mape: 0.00948713\n",
      "[36000]\tvalid_0's mape: 0.00945685\n",
      "[38000]\tvalid_0's mape: 0.00942995\n",
      "[40000]\tvalid_0's mape: 0.00940597\n",
      "[42000]\tvalid_0's mape: 0.0093837\n",
      "[44000]\tvalid_0's mape: 0.00936354\n",
      "[46000]\tvalid_0's mape: 0.00934564\n",
      "[48000]\tvalid_0's mape: 0.00932873\n",
      "[50000]\tvalid_0's mape: 0.00931335\n",
      "[52000]\tvalid_0's mape: 0.00929928\n",
      "[54000]\tvalid_0's mape: 0.00928632\n",
      "[56000]\tvalid_0's mape: 0.00927437\n",
      "[58000]\tvalid_0's mape: 0.00926323\n",
      "[60000]\tvalid_0's mape: 0.00925293\n",
      "[62000]\tvalid_0's mape: 0.00924332\n",
      "[64000]\tvalid_0's mape: 0.00923407\n",
      "[66000]\tvalid_0's mape: 0.00922568\n",
      "[68000]\tvalid_0's mape: 0.00921772\n",
      "[70000]\tvalid_0's mape: 0.00921034\n",
      "[72000]\tvalid_0's mape: 0.00920319\n",
      "[74000]\tvalid_0's mape: 0.00919654\n",
      "[76000]\tvalid_0's mape: 0.0091901\n",
      "[78000]\tvalid_0's mape: 0.00918428\n",
      "[80000]\tvalid_0's mape: 0.00917861\n",
      "[82000]\tvalid_0's mape: 0.00917319\n",
      "[84000]\tvalid_0's mape: 0.00916794\n",
      "[86000]\tvalid_0's mape: 0.00916312\n",
      "[88000]\tvalid_0's mape: 0.00915873\n",
      "[90000]\tvalid_0's mape: 0.00915437\n",
      "[92000]\tvalid_0's mape: 0.00915039\n",
      "[94000]\tvalid_0's mape: 0.00914679\n",
      "[96000]\tvalid_0's mape: 0.00914331\n",
      "[98000]\tvalid_0's mape: 0.00913998\n",
      "[100000]\tvalid_0's mape: 0.00913674\n",
      "[102000]\tvalid_0's mape: 0.00913372\n",
      "[104000]\tvalid_0's mape: 0.00913094\n",
      "[106000]\tvalid_0's mape: 0.00912823\n",
      "[108000]\tvalid_0's mape: 0.00912572\n",
      "[110000]\tvalid_0's mape: 0.00912314\n",
      "[112000]\tvalid_0's mape: 0.00912065\n",
      "[114000]\tvalid_0's mape: 0.00911832\n",
      "[116000]\tvalid_0's mape: 0.00911613\n",
      "[118000]\tvalid_0's mape: 0.00911392\n",
      "[120000]\tvalid_0's mape: 0.00911197\n",
      "[122000]\tvalid_0's mape: 0.00911004\n",
      "[124000]\tvalid_0's mape: 0.00910819\n",
      "[126000]\tvalid_0's mape: 0.00910648\n",
      "[128000]\tvalid_0's mape: 0.00910481\n",
      "[130000]\tvalid_0's mape: 0.00910319\n",
      "[132000]\tvalid_0's mape: 0.00910159\n",
      "[134000]\tvalid_0's mape: 0.00909997\n",
      "[136000]\tvalid_0's mape: 0.00909845\n",
      "[138000]\tvalid_0's mape: 0.00909713\n",
      "[140000]\tvalid_0's mape: 0.00909581\n",
      "[142000]\tvalid_0's mape: 0.00909456\n",
      "[144000]\tvalid_0's mape: 0.00909328\n",
      "[146000]\tvalid_0's mape: 0.00909182\n",
      "[148000]\tvalid_0's mape: 0.00909049\n",
      "[150000]\tvalid_0's mape: 0.00908924\n",
      "[152000]\tvalid_0's mape: 0.00908797\n",
      "[154000]\tvalid_0's mape: 0.00908677\n",
      "[156000]\tvalid_0's mape: 0.00908569\n",
      "[158000]\tvalid_0's mape: 0.00908458\n",
      "[160000]\tvalid_0's mape: 0.00908365\n",
      "[162000]\tvalid_0's mape: 0.00908269\n",
      "[164000]\tvalid_0's mape: 0.00908182\n",
      "[166000]\tvalid_0's mape: 0.00908101\n",
      "[168000]\tvalid_0's mape: 0.00908022\n",
      "[170000]\tvalid_0's mape: 0.00907944\n",
      "[172000]\tvalid_0's mape: 0.00907875\n",
      "[174000]\tvalid_0's mape: 0.00907805\n",
      "[176000]\tvalid_0's mape: 0.00907742\n",
      "[178000]\tvalid_0's mape: 0.00907683\n",
      "[180000]\tvalid_0's mape: 0.00907625\n",
      "[182000]\tvalid_0's mape: 0.00907567\n",
      "[184000]\tvalid_0's mape: 0.00907509\n",
      "[186000]\tvalid_0's mape: 0.00907455\n",
      "[188000]\tvalid_0's mape: 0.00907399\n",
      "[190000]\tvalid_0's mape: 0.00907347\n",
      "[192000]\tvalid_0's mape: 0.00907291\n",
      "[194000]\tvalid_0's mape: 0.0090724\n",
      "[196000]\tvalid_0's mape: 0.00907191\n",
      "[198000]\tvalid_0's mape: 0.00907144\n",
      "[200000]\tvalid_0's mape: 0.00907097\n",
      "[202000]\tvalid_0's mape: 0.00907053\n",
      "[204000]\tvalid_0's mape: 0.00907007\n",
      "[206000]\tvalid_0's mape: 0.00906964\n",
      "[208000]\tvalid_0's mape: 0.00906921\n",
      "[210000]\tvalid_0's mape: 0.00906875\n",
      "[212000]\tvalid_0's mape: 0.00906828\n",
      "[214000]\tvalid_0's mape: 0.00906788\n",
      "[216000]\tvalid_0's mape: 0.00906753\n",
      "[218000]\tvalid_0's mape: 0.00906713\n",
      "[220000]\tvalid_0's mape: 0.00906678\n",
      "[222000]\tvalid_0's mape: 0.00906644\n",
      "[224000]\tvalid_0's mape: 0.00906609\n",
      "[226000]\tvalid_0's mape: 0.00906576\n",
      "[228000]\tvalid_0's mape: 0.00906544\n",
      "[230000]\tvalid_0's mape: 0.00906513\n",
      "[232000]\tvalid_0's mape: 0.00906481\n",
      "[234000]\tvalid_0's mape: 0.00906452\n",
      "[236000]\tvalid_0's mape: 0.00906419\n",
      "[238000]\tvalid_0's mape: 0.0090639\n",
      "[240000]\tvalid_0's mape: 0.0090636\n",
      "[242000]\tvalid_0's mape: 0.00906336\n",
      "[244000]\tvalid_0's mape: 0.00906311\n",
      "[246000]\tvalid_0's mape: 0.00906288\n",
      "[248000]\tvalid_0's mape: 0.00906271\n",
      "[250000]\tvalid_0's mape: 0.00906251\n",
      "[252000]\tvalid_0's mape: 0.00906228\n",
      "[254000]\tvalid_0's mape: 0.0090621\n",
      "[256000]\tvalid_0's mape: 0.00906193\n",
      "[258000]\tvalid_0's mape: 0.00906178\n",
      "[260000]\tvalid_0's mape: 0.00906159\n",
      "[262000]\tvalid_0's mape: 0.00906141\n",
      "[264000]\tvalid_0's mape: 0.00906125\n",
      "[266000]\tvalid_0's mape: 0.00906107\n",
      "[268000]\tvalid_0's mape: 0.00906091\n",
      "[270000]\tvalid_0's mape: 0.00906074\n",
      "[272000]\tvalid_0's mape: 0.00906058\n",
      "[274000]\tvalid_0's mape: 0.00906041\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[276000]\tvalid_0's mape: 0.00906026\n",
      "[278000]\tvalid_0's mape: 0.00906011\n",
      "[280000]\tvalid_0's mape: 0.00905994\n",
      "[282000]\tvalid_0's mape: 0.00905976\n",
      "[284000]\tvalid_0's mape: 0.00905961\n",
      "[286000]\tvalid_0's mape: 0.00905944\n",
      "[288000]\tvalid_0's mape: 0.00905928\n",
      "[290000]\tvalid_0's mape: 0.00905914\n",
      "[292000]\tvalid_0's mape: 0.00905899\n",
      "[294000]\tvalid_0's mape: 0.00905885\n",
      "[296000]\tvalid_0's mape: 0.00905872\n",
      "[298000]\tvalid_0's mape: 0.00905859\n",
      "[300000]\tvalid_0's mape: 0.0090585\n",
      "[302000]\tvalid_0's mape: 0.00905838\n",
      "[304000]\tvalid_0's mape: 0.00905826\n",
      "[306000]\tvalid_0's mape: 0.00905813\n",
      "[308000]\tvalid_0's mape: 0.00905801\n",
      "[310000]\tvalid_0's mape: 0.00905791\n",
      "[312000]\tvalid_0's mape: 0.0090578\n",
      "[314000]\tvalid_0's mape: 0.00905771\n",
      "[316000]\tvalid_0's mape: 0.00905761\n",
      "[318000]\tvalid_0's mape: 0.00905751\n",
      "[320000]\tvalid_0's mape: 0.0090574\n",
      "[322000]\tvalid_0's mape: 0.00905731\n",
      "[324000]\tvalid_0's mape: 0.00905722\n",
      "[326000]\tvalid_0's mape: 0.00905714\n",
      "[328000]\tvalid_0's mape: 0.00905705\n",
      "[330000]\tvalid_0's mape: 0.00905698\n",
      "[332000]\tvalid_0's mape: 0.00905689\n",
      "[334000]\tvalid_0's mape: 0.00905679\n",
      "[336000]\tvalid_0's mape: 0.00905672\n",
      "[338000]\tvalid_0's mape: 0.00905664\n",
      "[340000]\tvalid_0's mape: 0.00905657\n",
      "[342000]\tvalid_0's mape: 0.00905651\n",
      "[344000]\tvalid_0's mape: 0.00905643\n",
      "[346000]\tvalid_0's mape: 0.00905637\n",
      "[348000]\tvalid_0's mape: 0.0090563\n",
      "[350000]\tvalid_0's mape: 0.00905622\n",
      "[352000]\tvalid_0's mape: 0.00905615\n",
      "[354000]\tvalid_0's mape: 0.00905609\n",
      "[356000]\tvalid_0's mape: 0.00905602\n",
      "[358000]\tvalid_0's mape: 0.00905597\n",
      "[360000]\tvalid_0's mape: 0.0090559\n",
      "[362000]\tvalid_0's mape: 0.00905585\n",
      "[364000]\tvalid_0's mape: 0.0090558\n",
      "[366000]\tvalid_0's mape: 0.00905575\n",
      "[368000]\tvalid_0's mape: 0.0090557\n",
      "[370000]\tvalid_0's mape: 0.00905567\n",
      "[372000]\tvalid_0's mape: 0.00905562\n",
      "[374000]\tvalid_0's mape: 0.00905557\n",
      "[376000]\tvalid_0's mape: 0.00905553\n",
      "[378000]\tvalid_0's mape: 0.00905548\n",
      "[380000]\tvalid_0's mape: 0.00905543\n",
      "[382000]\tvalid_0's mape: 0.00905539\n",
      "[384000]\tvalid_0's mape: 0.00905536\n",
      "[386000]\tvalid_0's mape: 0.00905531\n",
      "[388000]\tvalid_0's mape: 0.00905528\n",
      "Early stopping, best iteration is:\n",
      "[388553]\tvalid_0's mape: 0.00905527\n",
      "(Fold 4) score, mse, mae, mape: 5912.87287, 0.03700, 0.12046, 0.00906.\n"
     ]
    }
   ],
   "source": [
    "t0 = time.time()\n",
    "\n",
    "predicts_val = []\n",
    "predicts_test = test[['building_id']].copy()\n",
    "best_iterations = []\n",
    "scores = []\n",
    "for i, id_fold in enumerate(id_cv):\n",
    "    #id_fold = id_fold['building_id']\n",
    "    # split train, val\n",
    "    df_train = train.loc[~train['building_id'].isin(id_fold)].copy()\n",
    "    df_val = train.loc[train['building_id'].isin(id_fold)].copy()\n",
    "    df_test = test.copy()\n",
    "    \n",
    "    # feat eng\n",
    "    feat_eng = FeatureEngineering(cols_num, cols_cat, cols_feats, col_target)\n",
    "    df_train = feat_eng.fit_transform(df_train)\n",
    "    df_val = feat_eng.transform(df_val)\n",
    "    df_test = feat_eng.transform(df_test)\n",
    "\n",
    "    # Construct lgb dataset\n",
    "    lgb_train = lgb.Dataset(df_train[cols_feats], df_train[col_target]).construct()\n",
    "    lgb_val = lgb.Dataset(df_val[cols_feats], df_val[col_target], reference=lgb_train).construct()\n",
    "        \n",
    "    # train model    \n",
    "    model = lgb.train(params, lgb_train, valid_sets=lgb_val, **lgb_other_params, keep_training_booster=True)\n",
    "    best_iterations.append(model.best_iteration)\n",
    "\n",
    "    # Predict on val set\n",
    "    y_pred = model.predict(df_val[cols_feats])\n",
    "    mse = mean_squared_error(df_val[col_target], y_pred)\n",
    "    mae = mean_absolute_error(df_val[col_target], y_pred)\n",
    "    mape = cal_mape(df_val[col_target], y_pred)\n",
    "    \n",
    "    y_pred_final = post_processing(y_pred, df_val)\n",
    "    score = cal_score(df_val['total_price'], y_pred_final)\n",
    "    scores.append(score)\n",
    "\n",
    "    print('(Fold %d) score, mse, mae, mape: %.5f, %.5f, %.5f, %.5f.' % (i, score, mse, mae, mape))\n",
    "    predicts_val.append(pd.DataFrame({'building_id': df_val['building_id'],\n",
    "                                      'total_price': df_val['total_price'],\n",
    "                                      'total_price_predict': y_pred_final}))\n",
    "\n",
    "    # Predict on test set\n",
    "    y_pred_test = model.predict(df_test[cols_feats])\n",
    "    predicts_test['target_{}'.format(i)] = y_pred_test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total run time: 67258.6950674057\n"
     ]
    }
   ],
   "source": [
    "print('Total run time:', time.time() - t0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Kfold cv score (mean, stdev, all): 5911.674156331722 49.84034351435107 [5840.876531945852, 5978.874374101838, 5950.872269974077, 5874.874736557249, 5912.872869079592]\n"
     ]
    }
   ],
   "source": [
    "print('Kfold cv score (mean, stdev, all):', np.mean(scores), np.std(scores), scores) # 5868.87314"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Kfold cv mape (mean, stdev, all): 0.8741563317216787 0.0014995326729913309 [0.87653195 0.8743741  0.87226997 0.87473656 0.87286908]\n"
     ]
    }
   ],
   "source": [
    "mapes = np.mod(scores, 1)\n",
    "print('Kfold cv mape (mean, stdev, all):', np.mean(mapes), np.std(mapes), mapes)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "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>15.158523</td>\n",
       "      <td>15.178917</td>\n",
       "      <td>15.271495</td>\n",
       "      <td>15.165777</td>\n",
       "      <td>15.125887</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>BTshNOJyKHnT2YIT</td>\n",
       "      <td>13.135721</td>\n",
       "      <td>13.121479</td>\n",
       "      <td>13.136470</td>\n",
       "      <td>13.146405</td>\n",
       "      <td>13.138413</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>dhdymr0lV8N5kZOT</td>\n",
       "      <td>13.653014</td>\n",
       "      <td>13.687558</td>\n",
       "      <td>13.697061</td>\n",
       "      <td>13.692312</td>\n",
       "      <td>13.683925</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>VEwyGGMcD56w5BOc</td>\n",
       "      <td>14.802233</td>\n",
       "      <td>14.800549</td>\n",
       "      <td>14.758473</td>\n",
       "      <td>14.806330</td>\n",
       "      <td>14.784114</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>wmUeMoJZfsqaSX9b</td>\n",
       "      <td>12.147393</td>\n",
       "      <td>12.140608</td>\n",
       "      <td>12.078272</td>\n",
       "      <td>12.166718</td>\n",
       "      <td>12.196379</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  15.158523  15.178917  15.271495  15.165777  15.125887\n",
       "1  BTshNOJyKHnT2YIT  13.135721  13.121479  13.136470  13.146405  13.138413\n",
       "2  dhdymr0lV8N5kZOT  13.653014  13.687558  13.697061  13.692312  13.683925\n",
       "3  VEwyGGMcD56w5BOc  14.802233  14.800549  14.758473  14.806330  14.784114\n",
       "4  wmUeMoJZfsqaSX9b  12.147393  12.140608  12.078272  12.166718  12.196379"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "predicts_test.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "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": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Best iterations: [374365, 388700, 384869, 378898, 388553]\n",
      "Mean best iterations: 383077\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": 19,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'num_boost_round': 459692, 'verbose_eval': 2000}"
      ]
     },
     "execution_count": 19,
     "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": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'task': 'train',\n",
       " 'boosting_type': 'gbdt',\n",
       " 'objective': 'mse',\n",
       " 'metric': 'mape',\n",
       " 'learning_rate': 0.0005,\n",
       " 'max_depth': 30,\n",
       " 'num_leaves': 300,\n",
       " 'feature_fraction': 0.45,\n",
       " 'min_data_in_leaf': 5,\n",
       " 'lambda_l1': 0.05,\n",
       " 'lambda_l2': 0.001,\n",
       " 'max_bin': 383,\n",
       " 'min_sum_hessian_in_leaf': 0.0001,\n",
       " 'seed': 555}"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "params"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2000]\ttraining's mape: 0.0258853\n",
      "[4000]\ttraining's mape: 0.0144289\n",
      "[6000]\ttraining's mape: 0.0106487\n",
      "[8000]\ttraining's mape: 0.00906456\n",
      "[10000]\ttraining's mape: 0.00814147\n",
      "[12000]\ttraining's mape: 0.0074805\n",
      "[14000]\ttraining's mape: 0.00696295\n",
      "[16000]\ttraining's mape: 0.00653164\n",
      "[18000]\ttraining's mape: 0.00616302\n",
      "[20000]\ttraining's mape: 0.00583924\n",
      "[22000]\ttraining's mape: 0.00554948\n",
      "[24000]\ttraining's mape: 0.00528931\n",
      "[26000]\ttraining's mape: 0.00505601\n",
      "[28000]\ttraining's mape: 0.00484664\n",
      "[30000]\ttraining's mape: 0.00465659\n",
      "[32000]\ttraining's mape: 0.00448238\n",
      "[34000]\ttraining's mape: 0.00432123\n",
      "[36000]\ttraining's mape: 0.00417181\n",
      "[38000]\ttraining's mape: 0.00403077\n",
      "[40000]\ttraining's mape: 0.00389793\n",
      "[42000]\ttraining's mape: 0.00377208\n",
      "[44000]\ttraining's mape: 0.00365464\n",
      "[46000]\ttraining's mape: 0.00354285\n",
      "[48000]\ttraining's mape: 0.00343727\n",
      "[50000]\ttraining's mape: 0.00333537\n",
      "[52000]\ttraining's mape: 0.00323797\n",
      "[54000]\ttraining's mape: 0.00314373\n",
      "[56000]\ttraining's mape: 0.00305413\n",
      "[58000]\ttraining's mape: 0.00296771\n",
      "[60000]\ttraining's mape: 0.00288549\n",
      "[62000]\ttraining's mape: 0.00280551\n",
      "[64000]\ttraining's mape: 0.0027293\n",
      "[66000]\ttraining's mape: 0.00265676\n",
      "[68000]\ttraining's mape: 0.00258698\n",
      "[70000]\ttraining's mape: 0.0025206\n",
      "[72000]\ttraining's mape: 0.00245623\n",
      "[74000]\ttraining's mape: 0.00239398\n",
      "[76000]\ttraining's mape: 0.00233407\n",
      "[78000]\ttraining's mape: 0.00227659\n",
      "[80000]\ttraining's mape: 0.00222003\n",
      "[82000]\ttraining's mape: 0.00216558\n",
      "[84000]\ttraining's mape: 0.00211374\n",
      "[86000]\ttraining's mape: 0.00206408\n",
      "[88000]\ttraining's mape: 0.00201627\n",
      "[90000]\ttraining's mape: 0.00196909\n",
      "[92000]\ttraining's mape: 0.00192377\n",
      "[94000]\ttraining's mape: 0.00187978\n",
      "[96000]\ttraining's mape: 0.00183719\n",
      "[98000]\ttraining's mape: 0.00179616\n",
      "[100000]\ttraining's mape: 0.00175724\n",
      "[102000]\ttraining's mape: 0.00171907\n",
      "[104000]\ttraining's mape: 0.00168197\n",
      "[106000]\ttraining's mape: 0.00164509\n",
      "[108000]\ttraining's mape: 0.0016098\n",
      "[110000]\ttraining's mape: 0.00157605\n",
      "[112000]\ttraining's mape: 0.00154308\n",
      "[114000]\ttraining's mape: 0.00151037\n",
      "[116000]\ttraining's mape: 0.00147941\n",
      "[118000]\ttraining's mape: 0.00144936\n",
      "[120000]\ttraining's mape: 0.00141891\n",
      "[122000]\ttraining's mape: 0.00138908\n",
      "[124000]\ttraining's mape: 0.00136154\n",
      "[126000]\ttraining's mape: 0.00133451\n",
      "[128000]\ttraining's mape: 0.00130824\n",
      "[130000]\ttraining's mape: 0.00128246\n",
      "[132000]\ttraining's mape: 0.00125753\n",
      "[134000]\ttraining's mape: 0.0012331\n",
      "[136000]\ttraining's mape: 0.00120937\n",
      "[138000]\ttraining's mape: 0.0011863\n",
      "[140000]\ttraining's mape: 0.00116378\n",
      "[142000]\ttraining's mape: 0.00114191\n",
      "[144000]\ttraining's mape: 0.00112058\n",
      "[146000]\ttraining's mape: 0.00109989\n",
      "[148000]\ttraining's mape: 0.00107926\n",
      "[150000]\ttraining's mape: 0.0010593\n",
      "[152000]\ttraining's mape: 0.00103938\n",
      "[154000]\ttraining's mape: 0.00101982\n",
      "[156000]\ttraining's mape: 0.00100099\n",
      "[158000]\ttraining's mape: 0.000983278\n",
      "[160000]\ttraining's mape: 0.000966147\n",
      "[162000]\ttraining's mape: 0.000949143\n",
      "[164000]\ttraining's mape: 0.000932775\n",
      "[166000]\ttraining's mape: 0.000916321\n",
      "[168000]\ttraining's mape: 0.000899985\n",
      "[170000]\ttraining's mape: 0.000883494\n",
      "[172000]\ttraining's mape: 0.00086771\n",
      "[174000]\ttraining's mape: 0.000852461\n",
      "[180000]\ttraining's mape: 0.000807147\n",
      "[182000]\ttraining's mape: 0.000793209\n",
      "[184000]\ttraining's mape: 0.000779478\n",
      "[186000]\ttraining's mape: 0.000766326\n",
      "[188000]\ttraining's mape: 0.000754358\n",
      "[190000]\ttraining's mape: 0.000742739\n",
      "[192000]\ttraining's mape: 0.000731221\n",
      "[194000]\ttraining's mape: 0.000719713\n",
      "[196000]\ttraining's mape: 0.00070858\n",
      "[198000]\ttraining's mape: 0.000697077\n",
      "[200000]\ttraining's mape: 0.000686215\n",
      "[202000]\ttraining's mape: 0.000675641\n",
      "[204000]\ttraining's mape: 0.00066552\n",
      "[206000]\ttraining's mape: 0.000655721\n",
      "[208000]\ttraining's mape: 0.000646139\n",
      "[210000]\ttraining's mape: 0.00063666\n",
      "[212000]\ttraining's mape: 0.000627335\n",
      "[214000]\ttraining's mape: 0.000618104\n",
      "[216000]\ttraining's mape: 0.000608987\n",
      "[218000]\ttraining's mape: 0.000600123\n",
      "[220000]\ttraining's mape: 0.000591369\n",
      "[222000]\ttraining's mape: 0.000582361\n",
      "[224000]\ttraining's mape: 0.000573864\n",
      "[226000]\ttraining's mape: 0.000565466\n",
      "[228000]\ttraining's mape: 0.000557407\n",
      "[230000]\ttraining's mape: 0.000549503\n",
      "[232000]\ttraining's mape: 0.000541812\n",
      "[234000]\ttraining's mape: 0.000534021\n",
      "[236000]\ttraining's mape: 0.000526494\n",
      "[238000]\ttraining's mape: 0.00051905\n",
      "[240000]\ttraining's mape: 0.000511559\n",
      "[242000]\ttraining's mape: 0.000504455\n",
      "[244000]\ttraining's mape: 0.000497397\n",
      "[246000]\ttraining's mape: 0.000490701\n",
      "[248000]\ttraining's mape: 0.000484104\n",
      "[250000]\ttraining's mape: 0.000477621\n",
      "[252000]\ttraining's mape: 0.000471485\n",
      "[254000]\ttraining's mape: 0.000465393\n",
      "[256000]\ttraining's mape: 0.000459459\n",
      "[258000]\ttraining's mape: 0.000453706\n",
      "[260000]\ttraining's mape: 0.000448067\n",
      "[262000]\ttraining's mape: 0.000442371\n",
      "[264000]\ttraining's mape: 0.000436775\n",
      "[266000]\ttraining's mape: 0.000431303\n",
      "[268000]\ttraining's mape: 0.000425821\n",
      "[270000]\ttraining's mape: 0.000420578\n",
      "[272000]\ttraining's mape: 0.000415181\n",
      "[274000]\ttraining's mape: 0.000410063\n",
      "[276000]\ttraining's mape: 0.000404982\n",
      "[278000]\ttraining's mape: 0.000399846\n",
      "[280000]\ttraining's mape: 0.000394617\n",
      "[282000]\ttraining's mape: 0.000389566\n",
      "[284000]\ttraining's mape: 0.000384601\n",
      "[286000]\ttraining's mape: 0.000379709\n",
      "[288000]\ttraining's mape: 0.00037514\n",
      "[290000]\ttraining's mape: 0.000370856\n",
      "[292000]\ttraining's mape: 0.000366459\n",
      "[294000]\ttraining's mape: 0.000362163\n",
      "[296000]\ttraining's mape: 0.000357859\n",
      "[298000]\ttraining's mape: 0.000353609\n",
      "[300000]\ttraining's mape: 0.000349545\n",
      "[302000]\ttraining's mape: 0.000345446\n",
      "[304000]\ttraining's mape: 0.000341489\n",
      "[306000]\ttraining's mape: 0.000337625\n",
      "[308000]\ttraining's mape: 0.000333678\n",
      "[310000]\ttraining's mape: 0.000329998\n",
      "[312000]\ttraining's mape: 0.000326387\n",
      "[314000]\ttraining's mape: 0.000322878\n",
      "[316000]\ttraining's mape: 0.000319369\n",
      "[318000]\ttraining's mape: 0.000315801\n",
      "[320000]\ttraining's mape: 0.000312296\n",
      "[322000]\ttraining's mape: 0.000308867\n",
      "[324000]\ttraining's mape: 0.000305516\n",
      "[326000]\ttraining's mape: 0.000302132\n",
      "[328000]\ttraining's mape: 0.000298824\n",
      "[330000]\ttraining's mape: 0.000295676\n",
      "[332000]\ttraining's mape: 0.00029248\n",
      "[334000]\ttraining's mape: 0.000289395\n",
      "[336000]\ttraining's mape: 0.000286322\n",
      "[338000]\ttraining's mape: 0.000283306\n",
      "[340000]\ttraining's mape: 0.000280376\n",
      "[342000]\ttraining's mape: 0.000277558\n",
      "[344000]\ttraining's mape: 0.000274769\n",
      "[346000]\ttraining's mape: 0.000272028\n",
      "[348000]\ttraining's mape: 0.000269309\n",
      "[350000]\ttraining's mape: 0.000266609\n",
      "[352000]\ttraining's mape: 0.000263979\n",
      "[354000]\ttraining's mape: 0.000261448\n",
      "[356000]\ttraining's mape: 0.00025892\n",
      "[358000]\ttraining's mape: 0.000256512\n",
      "[360000]\ttraining's mape: 0.00025413\n",
      "[362000]\ttraining's mape: 0.000251734\n",
      "[364000]\ttraining's mape: 0.000249403\n",
      "[366000]\ttraining's mape: 0.000247088\n",
      "[368000]\ttraining's mape: 0.000244831\n",
      "[370000]\ttraining's mape: 0.000242577\n",
      "[372000]\ttraining's mape: 0.000240358\n",
      "[374000]\ttraining's mape: 0.000238223\n",
      "[376000]\ttraining's mape: 0.000236058\n",
      "[378000]\ttraining's mape: 0.000233979\n",
      "[380000]\ttraining's mape: 0.000231885\n",
      "[382000]\ttraining's mape: 0.000229849\n",
      "[384000]\ttraining's mape: 0.000227844\n",
      "[386000]\ttraining's mape: 0.000225831\n",
      "[388000]\ttraining's mape: 0.000223862\n",
      "[390000]\ttraining's mape: 0.000221935\n",
      "[392000]\ttraining's mape: 0.000220072\n",
      "[394000]\ttraining's mape: 0.000218257\n",
      "[396000]\ttraining's mape: 0.000216401\n",
      "[398000]\ttraining's mape: 0.000214567\n",
      "[400000]\ttraining's mape: 0.000212767\n",
      "[402000]\ttraining's mape: 0.000210992\n",
      "[404000]\ttraining's mape: 0.000209224\n",
      "[406000]\ttraining's mape: 0.000207511\n",
      "[408000]\ttraining's mape: 0.00020585\n",
      "[410000]\ttraining's mape: 0.000204179\n",
      "[412000]\ttraining's mape: 0.000202572\n",
      "[414000]\ttraining's mape: 0.000200967\n",
      "[416000]\ttraining's mape: 0.000199404\n",
      "[418000]\ttraining's mape: 0.000197813\n",
      "[420000]\ttraining's mape: 0.00019628\n",
      "[422000]\ttraining's mape: 0.000194786\n",
      "[424000]\ttraining's mape: 0.000193308\n",
      "[426000]\ttraining's mape: 0.000191845\n",
      "[428000]\ttraining's mape: 0.000190425\n",
      "[430000]\ttraining's mape: 0.000189021\n",
      "[432000]\ttraining's mape: 0.000187653\n",
      "[434000]\ttraining's mape: 0.000186274\n",
      "[436000]\ttraining's mape: 0.000184926\n",
      "[438000]\ttraining's mape: 0.00018359\n",
      "[440000]\ttraining's mape: 0.000182258\n",
      "[442000]\ttraining's mape: 0.000180983\n",
      "[444000]\ttraining's mape: 0.000179707\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[446000]\ttraining's mape: 0.000178431\n",
      "[448000]\ttraining's mape: 0.000177183\n",
      "[450000]\ttraining's mape: 0.000175994\n",
      "[452000]\ttraining's mape: 0.000174793\n",
      "[454000]\ttraining's mape: 0.000173571\n",
      "[456000]\ttraining's mape: 0.000172378\n",
      "[458000]\ttraining's mape: 0.000171267\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>1.428857e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>BTshNOJyKHnT2YIT</td>\n",
       "      <td>3.911863e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>dhdymr0lV8N5kZOT</td>\n",
       "      <td>1.070213e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>VEwyGGMcD56w5BOc</td>\n",
       "      <td>6.009188e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>wmUeMoJZfsqaSX9b</td>\n",
       "      <td>1.086611e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>EtBjGAHmHCe9t7TZ</td>\n",
       "      <td>2.706104e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>hPNH34vmaZtvBtqc</td>\n",
       "      <td>1.216354e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>wXjeI38bYDMJJwZC</td>\n",
       "      <td>6.305037e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>fxZSGX6aPAFKU8W4</td>\n",
       "      <td>1.677451e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>ewr0Fx6ign87OwaV</td>\n",
       "      <td>4.083509e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>gHKurnEP4AowzsLg</td>\n",
       "      <td>8.915472e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>PmLfTgY2FElLrTl0</td>\n",
       "      <td>5.310848e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>eM2NppIOwzW0o8iy</td>\n",
       "      <td>9.858077e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>dxxwNun97NH4WTrZ</td>\n",
       "      <td>3.060228e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>jykBfhh3vdeFUi3H</td>\n",
       "      <td>4.006708e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>NlXbvdFfmJZf3L18</td>\n",
       "      <td>2.187043e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>D7jaFWHCzSqLBwdt</td>\n",
       "      <td>9.867560e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>L10dBBdqGmemweSl</td>\n",
       "      <td>6.136876e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>OgB0AdiPKlElakKN</td>\n",
       "      <td>1.107049e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>StiWNN1GQrpPBOYt</td>\n",
       "      <td>2.602679e+06</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         building_id   total_price\n",
       "0   X5gsdTWGS3W7JJQB  1.428857e+07\n",
       "1   BTshNOJyKHnT2YIT  3.911863e+06\n",
       "2   dhdymr0lV8N5kZOT  1.070213e+07\n",
       "3   VEwyGGMcD56w5BOc  6.009188e+06\n",
       "4   wmUeMoJZfsqaSX9b  1.086611e+06\n",
       "5   EtBjGAHmHCe9t7TZ  2.706104e+06\n",
       "6   hPNH34vmaZtvBtqc  1.216354e+07\n",
       "7   wXjeI38bYDMJJwZC  6.305037e+06\n",
       "8   fxZSGX6aPAFKU8W4  1.677451e+06\n",
       "9   ewr0Fx6ign87OwaV  4.083509e+06\n",
       "10  gHKurnEP4AowzsLg  8.915472e+05\n",
       "11  PmLfTgY2FElLrTl0  5.310848e+06\n",
       "12  eM2NppIOwzW0o8iy  9.858077e+06\n",
       "13  dxxwNun97NH4WTrZ  3.060228e+06\n",
       "14  jykBfhh3vdeFUi3H  4.006708e+06\n",
       "15  NlXbvdFfmJZf3L18  2.187043e+07\n",
       "16  D7jaFWHCzSqLBwdt  9.867560e+05\n",
       "17  L10dBBdqGmemweSl  6.136876e+06\n",
       "18  OgB0AdiPKlElakKN  1.107049e+06\n",
       "19  StiWNN1GQrpPBOYt  2.602679e+06"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "t10 = time.time()\n",
    "\n",
    "df_train = train.copy()\n",
    "df_test = test.copy()\n",
    "\n",
    "# feat eng\n",
    "feat_eng = FeatureEngineering(cols_num, cols_cat, cols_feats, col_target)\n",
    "df_train = feat_eng.fit_transform(df_train)\n",
    "df_test = feat_eng.transform(df_test)\n",
    "\n",
    "# Construct lgb dataset\n",
    "lgb_train = lgb.Dataset(df_train[cols_feats], df_train[col_target]).construct()\n",
    "\n",
    "# train model    \n",
    "model = lgb.train(params, lgb_train, valid_sets=lgb_train, **lgb_other_params_one, keep_training_booster=True)\n",
    "\n",
    "y_pred = model.predict(df_test[cols_feats])\n",
    "y_pred_final = post_processing(y_pred, df_test)\n",
    "\n",
    "df_test_pred = pd.DataFrame({'building_id': df_test['building_id'], \n",
    "                             'total_price': y_pred_final})\n",
    "\n",
    "t11 = time.time()\n",
    "\n",
    "display(df_test_pred.head(20))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_test_pred.to_csv('output/'+model_name+'-test-one.csv', index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total run time: 16340.727199077606\n"
     ]
    }
   ],
   "source": [
    "print('Total run time:', t11 - t10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Feature importance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "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": 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, 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": "193.785px"
   },
   "toc_section_display": true,
   "toc_window_display": true
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}