model-28-predict-lgb-search-bins-lr-0.0005-255.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Change Log:\n",
    "- v28 - using parameter from model-19-build, 2nd best for mae\n",
    "- v26 - change to num_leaves = 350 (v25 reduce to 250)\n",
    "- v19 - use parameters from model-19-build, lower learning rate = 0.0005\n",
    "- v20 - lower learning rate = 0.0008, add height_r and top_floor index\n",
    "- v16 - change parameters (some from model 05), rm reduce to 68\n",
    "- v14 - change random seed\n",
    "- v10 - remove features based on feature importance results (exp-l04-per-area)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Import packages"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import time\n",
    "import pickle\n",
    "import itertools\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import lightgbm as lgb\n",
    "import matplotlib.pyplot as plt\n",
    "from sklearn.model_selection import KFold\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.metrics import mean_squared_error\n",
    "from sklearn.metrics import mean_absolute_error\n",
    "from utilities import *"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "model_name = 'model-28-lgb-search-bins-lr-0.0005-255'"
   ]
  },
  {
   "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']\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": {
      "text/html": [
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       "    .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_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",
       "      <td>2</td>\n",
       "      <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",
       "      <td>7</td>\n",
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       "      <td>1</td>\n",
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       "      <td>7885</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>28</td>\n",
       "      <td>1</td>\n",
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       "      <td>1</td>\n",
       "      <td>15872</td>\n",
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       "      <td>32221</td>\n",
       "      <td>1</td>\n",
       "      <td>40.07357348973039</td>\n",
       "      <td>3321452.0</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>ucIR2NLLsC3T650L</td>\n",
       "      <td>8</td>\n",
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       "      <td>19289</td>\n",
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       "      <td>6028</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>78</td>\n",
       "      <td>1</td>\n",
       "      <td>212</td>\n",
       "      <td>1</td>\n",
       "      <td>15760</td>\n",
       "      <td>1</td>\n",
       "      <td>32228</td>\n",
       "      <td>1</td>\n",
       "      <td>54.46208108983661</td>\n",
       "      <td>9570885.316206373</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>jre1pJhcQj91Kdky</td>\n",
       "      <td>8</td>\n",
       "      <td>21</td>\n",
       "      <td>20385</td>\n",
       "      <td>24</td>\n",
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       "      <td>2</td>\n",
       "      <td>18325</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>20</td>\n",
       "      <td>1</td>\n",
       "      <td>125</td>\n",
       "      <td>1</td>\n",
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       "    <tr>\n",
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       "      <td>rQpYpY9nRG7X5mmr</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <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>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]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>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): 214\n",
      "N feats (after): 146\n",
      "['txn_floor', 'X_250', 'II_1000', 'XIV_50', 'II_MIN', 'doc_rate', 'III_1000', 'V_1000', 'lat', 'encoded_latlon', 'II_10000', 'IV_10000', 'XIII_MIN', 'IX_500', 'VII_1000', 'IV_10', 'I_1000', 'VIII_index_50', 'V_250', 'town_area', 'III_10000', 'XIII_100', 'parking_price', 'XI_5000', 'X_5000', 'IX_MIN', 'XII_1000', 'XIV_1000', 'parking_way', 'VII_250', 'X_MIN', 'building_per_land_area', 'XIV_500', 'XIV_10000', 'jobschool_rate', 'III_10', 'X_500', 'IV_5000', 'X_10000', 'V_MIN', 'highschool_rate', 'VIII_250', 'VII_50', 'I_5000', 'death_rate', 'III_index_500', 'II_100', 'V_5000', 'VI_5000', 'V_index_50', 'X_50', 'IV_index_1000', 'XIV_MIN', 'VII_10000', 'IX_1000', 'II_5000', 'txn_dt', 'building_area', 'town', 'building_material', 'I_10000', 'VII_500', 'XI_10000', 'land_area', 'height_r', 'VIII_10', 'III_100', 'VII_5000', 'elementary_rate', 'total_floor', 'I_MIN', 'VIII_50', 'XII_50', 'XIV_5000', 'V_500', 'XI_250', 'XIV_250', 'XI_MIN', 'town_population_density', 'building_type', 'bachelor_rate', 'VIII_MIN', 'XIII_10000', 'XII_MIN', 'III_MIN', 'XIII_50', 'village_income_median', 'building_use', 'N_10000', 'XII_100', 'IX_100', 'XI_1000', 'IV_500', 'XIII_5000', 'V_10000', 'XII_5000', 'village', 'city', 'III_50', 'IX_10', 'XII_500', 'born_rate', 'IV_index_500', 'building_complete_dt', 'VIII_10000', 'II_500', 'VIII_1000', 'junior_rate', 'town_population', 'IX_250', 'IV_MIN', 'XI_50', 'XIII_250', 'N_1000', 'IV_100', 'master_rate', 'parking_area', 'XI_500', 'III_500', 'IX_5000', 'X_index_50', 'II_250', 'IX_10000', 'VIII_5000', 'VII_MIN', 'IV_250', 'VI_10000', 'V_50', 'XIII_500', 'lon', 'VIII_100', 'N_50', 'VIII_500', 'XIV_100', 'X_1000', 'XIII_index_10000', 'XIII_1000', 'III_250', 'III_5000', 'VII_100', 'VI_MIN', 'XII_10000', 'marriage_rate', 'XII_10', 'IV_1000', 'XII_250']\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': 22,\n",
    "          'num_leaves': 255,  # 300        # may reduce in dim-reduction exp\n",
    "          'feature_fraction': 0.45,\n",
    "          'min_data_in_leaf': 8,\n",
    "          'lambda_l1': 0.02,\n",
    "          'lambda_l2': 0.04,\n",
    "          'max_bin': 511,\n",
    "          'min_sum_hessian_in_leaf': 0.1,\n",
    "          'min_data_per_group': 50,\n",
    "          'seed': 5817,\n",
    "         }\n",
    "\n",
    "lgb_other_params = {'num_boost_round': 1000000,  # expected to stop 250000\n",
    "                    'verbose_eval': 2000,\n",
    "                    'early_stopping_rounds': 1000,}\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### kfold cross-predict"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 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: 0.0265413\n",
      "[4000]\tvalid_0's mape: 0.0158426\n",
      "[6000]\tvalid_0's mape: 0.01263\n",
      "[8000]\tvalid_0's mape: 0.0114829\n",
      "[10000]\tvalid_0's mape: 0.0109217\n",
      "[12000]\tvalid_0's mape: 0.0105794\n",
      "[14000]\tvalid_0's mape: 0.010345\n",
      "[16000]\tvalid_0's mape: 0.0101713\n",
      "[18000]\tvalid_0's mape: 0.0100355\n",
      "[20000]\tvalid_0's mape: 0.00992667\n",
      "[22000]\tvalid_0's mape: 0.00983776\n",
      "[24000]\tvalid_0's mape: 0.00976015\n",
      "[26000]\tvalid_0's mape: 0.00969418\n",
      "[28000]\tvalid_0's mape: 0.00963899\n",
      "[30000]\tvalid_0's mape: 0.00959181\n",
      "[32000]\tvalid_0's mape: 0.00955126\n",
      "[34000]\tvalid_0's mape: 0.00951506\n",
      "[36000]\tvalid_0's mape: 0.00948429\n",
      "[38000]\tvalid_0's mape: 0.00945602\n",
      "[40000]\tvalid_0's mape: 0.00943042\n",
      "[42000]\tvalid_0's mape: 0.00940671\n",
      "[44000]\tvalid_0's mape: 0.00938525\n",
      "[46000]\tvalid_0's mape: 0.0093648\n",
      "[48000]\tvalid_0's mape: 0.00934637\n",
      "[50000]\tvalid_0's mape: 0.00932918\n",
      "[52000]\tvalid_0's mape: 0.00931321\n",
      "[54000]\tvalid_0's mape: 0.00929873\n",
      "[56000]\tvalid_0's mape: 0.009285\n",
      "[58000]\tvalid_0's mape: 0.00927226\n",
      "[60000]\tvalid_0's mape: 0.00926016\n",
      "[62000]\tvalid_0's mape: 0.00924904\n",
      "[64000]\tvalid_0's mape: 0.00923858\n",
      "[66000]\tvalid_0's mape: 0.0092288\n",
      "[68000]\tvalid_0's mape: 0.00921954\n",
      "[70000]\tvalid_0's mape: 0.00921087\n",
      "[72000]\tvalid_0's mape: 0.00920274\n",
      "[74000]\tvalid_0's mape: 0.00919496\n",
      "[76000]\tvalid_0's mape: 0.00918764\n",
      "[78000]\tvalid_0's mape: 0.00918072\n",
      "[80000]\tvalid_0's mape: 0.00917434\n",
      "[82000]\tvalid_0's mape: 0.0091683\n",
      "[84000]\tvalid_0's mape: 0.0091624\n",
      "[86000]\tvalid_0's mape: 0.00915715\n",
      "[88000]\tvalid_0's mape: 0.00915221\n",
      "[90000]\tvalid_0's mape: 0.0091475\n",
      "[92000]\tvalid_0's mape: 0.00914321\n",
      "[94000]\tvalid_0's mape: 0.00913887\n",
      "[96000]\tvalid_0's mape: 0.00913474\n",
      "[98000]\tvalid_0's mape: 0.00913077\n",
      "[100000]\tvalid_0's mape: 0.00912718\n",
      "[102000]\tvalid_0's mape: 0.00912382\n",
      "[104000]\tvalid_0's mape: 0.00912067\n",
      "[106000]\tvalid_0's mape: 0.00911782\n",
      "[108000]\tvalid_0's mape: 0.00911496\n",
      "[110000]\tvalid_0's mape: 0.00911224\n",
      "[112000]\tvalid_0's mape: 0.00910966\n",
      "[114000]\tvalid_0's mape: 0.00910695\n",
      "[116000]\tvalid_0's mape: 0.00910456\n",
      "[118000]\tvalid_0's mape: 0.00910199\n",
      "[120000]\tvalid_0's mape: 0.00909942\n",
      "[122000]\tvalid_0's mape: 0.00909667\n",
      "[124000]\tvalid_0's mape: 0.00909382\n",
      "[126000]\tvalid_0's mape: 0.00909127\n",
      "[128000]\tvalid_0's mape: 0.00908921\n",
      "[130000]\tvalid_0's mape: 0.0090872\n",
      "[132000]\tvalid_0's mape: 0.00908503\n",
      "[134000]\tvalid_0's mape: 0.00908313\n",
      "[136000]\tvalid_0's mape: 0.00908115\n",
      "[138000]\tvalid_0's mape: 0.00907941\n",
      "[140000]\tvalid_0's mape: 0.00907759\n",
      "[142000]\tvalid_0's mape: 0.00907607\n",
      "[144000]\tvalid_0's mape: 0.00907445\n",
      "[146000]\tvalid_0's mape: 0.009073\n",
      "[148000]\tvalid_0's mape: 0.00907139\n",
      "[150000]\tvalid_0's mape: 0.00907009\n",
      "[152000]\tvalid_0's mape: 0.00906878\n",
      "[154000]\tvalid_0's mape: 0.00906741\n",
      "[156000]\tvalid_0's mape: 0.00906615\n",
      "[158000]\tvalid_0's mape: 0.00906491\n",
      "[160000]\tvalid_0's mape: 0.00906362\n",
      "[162000]\tvalid_0's mape: 0.0090625\n",
      "[164000]\tvalid_0's mape: 0.00906145\n",
      "[166000]\tvalid_0's mape: 0.00906038\n",
      "[168000]\tvalid_0's mape: 0.00905939\n",
      "[170000]\tvalid_0's mape: 0.00905842\n",
      "[172000]\tvalid_0's mape: 0.0090574\n",
      "[174000]\tvalid_0's mape: 0.00905648\n",
      "[176000]\tvalid_0's mape: 0.00905564\n",
      "[178000]\tvalid_0's mape: 0.00905475\n",
      "[180000]\tvalid_0's mape: 0.0090539\n",
      "[182000]\tvalid_0's mape: 0.00905314\n",
      "[184000]\tvalid_0's mape: 0.00905231\n",
      "[186000]\tvalid_0's mape: 0.00905166\n",
      "[188000]\tvalid_0's mape: 0.00905079\n",
      "[190000]\tvalid_0's mape: 0.00905004\n",
      "[192000]\tvalid_0's mape: 0.00904939\n",
      "[194000]\tvalid_0's mape: 0.0090488\n",
      "[196000]\tvalid_0's mape: 0.00904825\n",
      "[198000]\tvalid_0's mape: 0.00904769\n",
      "[200000]\tvalid_0's mape: 0.00904713\n",
      "[202000]\tvalid_0's mape: 0.00904655\n",
      "[204000]\tvalid_0's mape: 0.00904605\n",
      "[206000]\tvalid_0's mape: 0.00904549\n",
      "[208000]\tvalid_0's mape: 0.00904494\n",
      "[210000]\tvalid_0's mape: 0.00904442\n",
      "[212000]\tvalid_0's mape: 0.00904387\n",
      "[214000]\tvalid_0's mape: 0.00904331\n",
      "[216000]\tvalid_0's mape: 0.0090428\n",
      "[218000]\tvalid_0's mape: 0.00904226\n",
      "[220000]\tvalid_0's mape: 0.00904177\n",
      "[222000]\tvalid_0's mape: 0.00904137\n",
      "[224000]\tvalid_0's mape: 0.00904109\n",
      "[226000]\tvalid_0's mape: 0.00904077\n",
      "[228000]\tvalid_0's mape: 0.00904043\n",
      "[230000]\tvalid_0's mape: 0.00904006\n",
      "[232000]\tvalid_0's mape: 0.00903966\n",
      "[234000]\tvalid_0's mape: 0.00903931\n",
      "[236000]\tvalid_0's mape: 0.00903897\n",
      "[238000]\tvalid_0's mape: 0.00903858\n",
      "[240000]\tvalid_0's mape: 0.00903814\n",
      "[242000]\tvalid_0's mape: 0.00903775\n",
      "[244000]\tvalid_0's mape: 0.00903746\n",
      "[246000]\tvalid_0's mape: 0.00903714\n",
      "[248000]\tvalid_0's mape: 0.00903682\n",
      "[250000]\tvalid_0's mape: 0.00903642\n",
      "[252000]\tvalid_0's mape: 0.00903606\n",
      "[254000]\tvalid_0's mape: 0.00903572\n",
      "[256000]\tvalid_0's mape: 0.00903533\n",
      "[258000]\tvalid_0's mape: 0.00903502\n",
      "[260000]\tvalid_0's mape: 0.0090347\n",
      "[262000]\tvalid_0's mape: 0.00903443\n",
      "[264000]\tvalid_0's mape: 0.00903416\n",
      "[266000]\tvalid_0's mape: 0.0090339\n",
      "[268000]\tvalid_0's mape: 0.00903362\n",
      "[270000]\tvalid_0's mape: 0.00903333\n",
      "[272000]\tvalid_0's mape: 0.00903307\n",
      "[274000]\tvalid_0's mape: 0.00903278\n",
      "[276000]\tvalid_0's mape: 0.00903251\n",
      "[278000]\tvalid_0's mape: 0.00903228\n",
      "[280000]\tvalid_0's mape: 0.00903208\n",
      "[282000]\tvalid_0's mape: 0.00903182\n",
      "[284000]\tvalid_0's mape: 0.0090316\n",
      "[286000]\tvalid_0's mape: 0.00903137\n",
      "[288000]\tvalid_0's mape: 0.00903112\n",
      "[290000]\tvalid_0's mape: 0.00903086\n",
      "[292000]\tvalid_0's mape: 0.00903063\n",
      "[294000]\tvalid_0's mape: 0.00903041\n",
      "[296000]\tvalid_0's mape: 0.00903021\n",
      "[298000]\tvalid_0's mape: 0.00903003\n",
      "[300000]\tvalid_0's mape: 0.0090298\n",
      "[302000]\tvalid_0's mape: 0.00902959\n",
      "[304000]\tvalid_0's mape: 0.00902939\n",
      "[306000]\tvalid_0's mape: 0.00902916\n",
      "[308000]\tvalid_0's mape: 0.00902891\n",
      "[310000]\tvalid_0's mape: 0.00902868\n",
      "[312000]\tvalid_0's mape: 0.00902853\n",
      "[314000]\tvalid_0's mape: 0.00902839\n",
      "[316000]\tvalid_0's mape: 0.00902822\n",
      "[318000]\tvalid_0's mape: 0.00902809\n",
      "[320000]\tvalid_0's mape: 0.00902793\n",
      "[322000]\tvalid_0's mape: 0.00902777\n",
      "[324000]\tvalid_0's mape: 0.00902759\n",
      "[326000]\tvalid_0's mape: 0.00902744\n",
      "[328000]\tvalid_0's mape: 0.0090273\n",
      "[330000]\tvalid_0's mape: 0.00902717\n",
      "[332000]\tvalid_0's mape: 0.00902705\n",
      "[334000]\tvalid_0's mape: 0.00902693\n",
      "[336000]\tvalid_0's mape: 0.00902677\n",
      "[338000]\tvalid_0's mape: 0.00902662\n",
      "[340000]\tvalid_0's mape: 0.00902645\n",
      "[342000]\tvalid_0's mape: 0.00902632\n",
      "[344000]\tvalid_0's mape: 0.0090262\n",
      "[346000]\tvalid_0's mape: 0.00902607\n",
      "[348000]\tvalid_0's mape: 0.00902594\n",
      "[350000]\tvalid_0's mape: 0.00902582\n",
      "[352000]\tvalid_0's mape: 0.0090257\n",
      "[354000]\tvalid_0's mape: 0.00902558\n",
      "[356000]\tvalid_0's mape: 0.00902547\n",
      "[358000]\tvalid_0's mape: 0.00902539\n",
      "[360000]\tvalid_0's mape: 0.00902527\n",
      "[362000]\tvalid_0's mape: 0.00902516\n",
      "[364000]\tvalid_0's mape: 0.00902504\n",
      "[366000]\tvalid_0's mape: 0.00902494\n",
      "[368000]\tvalid_0's mape: 0.00902483\n",
      "[370000]\tvalid_0's mape: 0.00902474\n",
      "[372000]\tvalid_0's mape: 0.00902465\n",
      "[374000]\tvalid_0's mape: 0.00902458\n",
      "[376000]\tvalid_0's mape: 0.00902448\n",
      "[378000]\tvalid_0's mape: 0.00902437\n",
      "[380000]\tvalid_0's mape: 0.00902428\n",
      "[382000]\tvalid_0's mape: 0.0090242\n",
      "[384000]\tvalid_0's mape: 0.00902411\n",
      "[386000]\tvalid_0's mape: 0.00902403\n",
      "[388000]\tvalid_0's mape: 0.00902395\n",
      "[390000]\tvalid_0's mape: 0.00902387\n",
      "[392000]\tvalid_0's mape: 0.0090238\n",
      "[394000]\tvalid_0's mape: 0.00902372\n",
      "[396000]\tvalid_0's mape: 0.00902365\n",
      "[398000]\tvalid_0's mape: 0.00902358\n",
      "[400000]\tvalid_0's mape: 0.0090235\n",
      "[402000]\tvalid_0's mape: 0.00902345\n",
      "[404000]\tvalid_0's mape: 0.00902339\n",
      "[406000]\tvalid_0's mape: 0.00902332\n",
      "[408000]\tvalid_0's mape: 0.00902326\n",
      "[410000]\tvalid_0's mape: 0.00902321\n",
      "[412000]\tvalid_0's mape: 0.00902314\n",
      "[414000]\tvalid_0's mape: 0.00902309\n",
      "[416000]\tvalid_0's mape: 0.00902302\n",
      "[418000]\tvalid_0's mape: 0.00902297\n",
      "[420000]\tvalid_0's mape: 0.00902293\n",
      "[422000]\tvalid_0's mape: 0.00902288\n",
      "[424000]\tvalid_0's mape: 0.00902283\n",
      "[426000]\tvalid_0's mape: 0.00902279\n",
      "[428000]\tvalid_0's mape: 0.00902274\n",
      "[430000]\tvalid_0's mape: 0.00902269\n",
      "[432000]\tvalid_0's mape: 0.00902264\n",
      "[434000]\tvalid_0's mape: 0.00902259\n",
      "[436000]\tvalid_0's mape: 0.00902253\n",
      "[438000]\tvalid_0's mape: 0.00902248\n",
      "[440000]\tvalid_0's mape: 0.00902243\n",
      "[442000]\tvalid_0's mape: 0.00902238\n",
      "[444000]\tvalid_0's mape: 0.00902233\n",
      "[446000]\tvalid_0's mape: 0.00902228\n",
      "[448000]\tvalid_0's mape: 0.00902223\n",
      "[450000]\tvalid_0's mape: 0.00902219\n",
      "[452000]\tvalid_0's mape: 0.00902215\n",
      "[454000]\tvalid_0's mape: 0.00902211\n",
      "[456000]\tvalid_0's mape: 0.00902207\n",
      "[458000]\tvalid_0's mape: 0.00902202\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[460000]\tvalid_0's mape: 0.00902197\n",
      "[462000]\tvalid_0's mape: 0.00902193\n",
      "[464000]\tvalid_0's mape: 0.00902189\n",
      "[466000]\tvalid_0's mape: 0.00902184\n",
      "[468000]\tvalid_0's mape: 0.0090218\n",
      "[470000]\tvalid_0's mape: 0.00902176\n",
      "[472000]\tvalid_0's mape: 0.00902172\n",
      "[474000]\tvalid_0's mape: 0.00902168\n",
      "[476000]\tvalid_0's mape: 0.00902164\n",
      "[478000]\tvalid_0's mape: 0.0090216\n",
      "[480000]\tvalid_0's mape: 0.00902157\n",
      "[482000]\tvalid_0's mape: 0.00902153\n",
      "[484000]\tvalid_0's mape: 0.0090215\n",
      "[486000]\tvalid_0's mape: 0.00902146\n",
      "[488000]\tvalid_0's mape: 0.00902142\n",
      "[490000]\tvalid_0's mape: 0.00902139\n",
      "[492000]\tvalid_0's mape: 0.00902135\n",
      "[494000]\tvalid_0's mape: 0.00902131\n",
      "[496000]\tvalid_0's mape: 0.00902128\n",
      "[498000]\tvalid_0's mape: 0.00902125\n",
      "[500000]\tvalid_0's mape: 0.00902122\n",
      "[502000]\tvalid_0's mape: 0.00902118\n",
      "[504000]\tvalid_0's mape: 0.00902115\n",
      "[506000]\tvalid_0's mape: 0.00902113\n",
      "[508000]\tvalid_0's mape: 0.0090211\n",
      "[510000]\tvalid_0's mape: 0.00902107\n",
      "[512000]\tvalid_0's mape: 0.00902104\n",
      "[514000]\tvalid_0's mape: 0.00902101\n",
      "[516000]\tvalid_0's mape: 0.00902099\n",
      "[518000]\tvalid_0's mape: 0.00902096\n",
      "[520000]\tvalid_0's mape: 0.00902093\n",
      "[522000]\tvalid_0's mape: 0.00902091\n",
      "[524000]\tvalid_0's mape: 0.00902088\n",
      "[526000]\tvalid_0's mape: 0.00902086\n",
      "[528000]\tvalid_0's mape: 0.00902083\n",
      "[530000]\tvalid_0's mape: 0.0090208\n",
      "[532000]\tvalid_0's mape: 0.00902077\n",
      "[534000]\tvalid_0's mape: 0.00902075\n",
      "[536000]\tvalid_0's mape: 0.00902072\n",
      "[538000]\tvalid_0's mape: 0.00902069\n",
      "[540000]\tvalid_0's mape: 0.00902067\n",
      "[542000]\tvalid_0's mape: 0.00902065\n",
      "[544000]\tvalid_0's mape: 0.00902063\n",
      "[546000]\tvalid_0's mape: 0.00902061\n",
      "[548000]\tvalid_0's mape: 0.0090206\n",
      "[550000]\tvalid_0's mape: 0.00902058\n",
      "[552000]\tvalid_0's mape: 0.00902056\n",
      "[554000]\tvalid_0's mape: 0.00902054\n",
      "[556000]\tvalid_0's mape: 0.00902053\n",
      "[558000]\tvalid_0's mape: 0.00902052\n",
      "[560000]\tvalid_0's mape: 0.00902051\n",
      "Early stopping, best iteration is:\n",
      "[559606]\tvalid_0's mape: 0.00902051\n",
      "(Fold 0) score, mse, mae, mape: 5829.87656, 0.03524, 0.12000, 0.00902.\n",
      "Training until validation scores don't improve for 1000 rounds.\n",
      "[2000]\tvalid_0's mape: 0.0266837\n",
      "[4000]\tvalid_0's mape: 0.0160148\n",
      "[6000]\tvalid_0's mape: 0.0127833\n",
      "[8000]\tvalid_0's mape: 0.0116191\n",
      "[10000]\tvalid_0's mape: 0.011053\n",
      "[12000]\tvalid_0's mape: 0.0107104\n",
      "[14000]\tvalid_0's mape: 0.0104791\n",
      "[16000]\tvalid_0's mape: 0.0103103\n",
      "[18000]\tvalid_0's mape: 0.0101783\n",
      "[20000]\tvalid_0's mape: 0.01007\n",
      "[22000]\tvalid_0's mape: 0.00997898\n",
      "[24000]\tvalid_0's mape: 0.00990156\n",
      "[26000]\tvalid_0's mape: 0.0098346\n",
      "[28000]\tvalid_0's mape: 0.00977721\n",
      "[30000]\tvalid_0's mape: 0.0097279\n",
      "[32000]\tvalid_0's mape: 0.00968573\n",
      "[34000]\tvalid_0's mape: 0.00964885\n",
      "[36000]\tvalid_0's mape: 0.00961615\n",
      "[38000]\tvalid_0's mape: 0.00958635\n",
      "[40000]\tvalid_0's mape: 0.00955923\n",
      "[42000]\tvalid_0's mape: 0.00953483\n",
      "[44000]\tvalid_0's mape: 0.00951185\n",
      "[46000]\tvalid_0's mape: 0.00949099\n",
      "[48000]\tvalid_0's mape: 0.00947195\n",
      "[50000]\tvalid_0's mape: 0.00945381\n",
      "[52000]\tvalid_0's mape: 0.00943681\n",
      "[54000]\tvalid_0's mape: 0.00942081\n",
      "[56000]\tvalid_0's mape: 0.00940623\n",
      "[58000]\tvalid_0's mape: 0.00939243\n",
      "[60000]\tvalid_0's mape: 0.00937978\n",
      "[62000]\tvalid_0's mape: 0.00936776\n",
      "[64000]\tvalid_0's mape: 0.00935698\n",
      "[66000]\tvalid_0's mape: 0.00934694\n",
      "[68000]\tvalid_0's mape: 0.00933742\n",
      "[70000]\tvalid_0's mape: 0.00932804\n",
      "[72000]\tvalid_0's mape: 0.00931948\n",
      "[74000]\tvalid_0's mape: 0.00931198\n",
      "[76000]\tvalid_0's mape: 0.00930432\n",
      "[78000]\tvalid_0's mape: 0.00929709\n",
      "[80000]\tvalid_0's mape: 0.00929034\n",
      "[82000]\tvalid_0's mape: 0.00928414\n",
      "[84000]\tvalid_0's mape: 0.00927813\n",
      "[86000]\tvalid_0's mape: 0.00927227\n",
      "[88000]\tvalid_0's mape: 0.00926688\n",
      "[90000]\tvalid_0's mape: 0.0092615\n",
      "[92000]\tvalid_0's mape: 0.0092565\n",
      "[94000]\tvalid_0's mape: 0.0092515\n",
      "[96000]\tvalid_0's mape: 0.00924683\n",
      "[98000]\tvalid_0's mape: 0.00924236\n",
      "[100000]\tvalid_0's mape: 0.00923831\n",
      "[102000]\tvalid_0's mape: 0.00923416\n",
      "[104000]\tvalid_0's mape: 0.00923025\n",
      "[106000]\tvalid_0's mape: 0.00922639\n",
      "[108000]\tvalid_0's mape: 0.00922297\n",
      "[110000]\tvalid_0's mape: 0.00921966\n",
      "[112000]\tvalid_0's mape: 0.00921647\n",
      "[114000]\tvalid_0's mape: 0.00921339\n",
      "[116000]\tvalid_0's mape: 0.00921043\n",
      "[118000]\tvalid_0's mape: 0.00920771\n",
      "[120000]\tvalid_0's mape: 0.00920496\n",
      "[122000]\tvalid_0's mape: 0.00920221\n",
      "[124000]\tvalid_0's mape: 0.00919976\n",
      "[126000]\tvalid_0's mape: 0.0091974\n",
      "[128000]\tvalid_0's mape: 0.00919491\n",
      "[130000]\tvalid_0's mape: 0.00919275\n",
      "[132000]\tvalid_0's mape: 0.00919058\n",
      "[134000]\tvalid_0's mape: 0.00918837\n",
      "[136000]\tvalid_0's mape: 0.00918625\n",
      "[138000]\tvalid_0's mape: 0.00918432\n",
      "[140000]\tvalid_0's mape: 0.00918246\n",
      "[142000]\tvalid_0's mape: 0.00918057\n",
      "[144000]\tvalid_0's mape: 0.00917875\n",
      "[146000]\tvalid_0's mape: 0.00917699\n",
      "[148000]\tvalid_0's mape: 0.00917535\n",
      "[150000]\tvalid_0's mape: 0.00917375\n",
      "[152000]\tvalid_0's mape: 0.00917224\n",
      "[154000]\tvalid_0's mape: 0.00917063\n",
      "[156000]\tvalid_0's mape: 0.00916895\n",
      "[158000]\tvalid_0's mape: 0.00916726\n",
      "[160000]\tvalid_0's mape: 0.00916584\n",
      "[162000]\tvalid_0's mape: 0.00916451\n",
      "[164000]\tvalid_0's mape: 0.00916317\n",
      "[166000]\tvalid_0's mape: 0.00916206\n",
      "[168000]\tvalid_0's mape: 0.00916096\n",
      "[170000]\tvalid_0's mape: 0.00915991\n",
      "[172000]\tvalid_0's mape: 0.00915886\n",
      "[174000]\tvalid_0's mape: 0.00915781\n",
      "[176000]\tvalid_0's mape: 0.00915646\n",
      "[178000]\tvalid_0's mape: 0.00915522\n",
      "[180000]\tvalid_0's mape: 0.00915413\n",
      "[182000]\tvalid_0's mape: 0.00915321\n",
      "[184000]\tvalid_0's mape: 0.00915236\n",
      "[186000]\tvalid_0's mape: 0.0091514\n",
      "[188000]\tvalid_0's mape: 0.00915041\n",
      "[190000]\tvalid_0's mape: 0.00914953\n",
      "[192000]\tvalid_0's mape: 0.00914869\n",
      "[194000]\tvalid_0's mape: 0.00914798\n",
      "[196000]\tvalid_0's mape: 0.0091473\n",
      "[198000]\tvalid_0's mape: 0.00914659\n",
      "[200000]\tvalid_0's mape: 0.00914584\n",
      "[202000]\tvalid_0's mape: 0.00914516\n",
      "[204000]\tvalid_0's mape: 0.00914443\n",
      "[206000]\tvalid_0's mape: 0.00914376\n",
      "[208000]\tvalid_0's mape: 0.00914305\n",
      "[210000]\tvalid_0's mape: 0.00914241\n",
      "[212000]\tvalid_0's mape: 0.0091417\n",
      "[214000]\tvalid_0's mape: 0.00914103\n",
      "[216000]\tvalid_0's mape: 0.00914043\n",
      "[218000]\tvalid_0's mape: 0.00913993\n",
      "[220000]\tvalid_0's mape: 0.0091394\n",
      "[222000]\tvalid_0's mape: 0.00913888\n",
      "[224000]\tvalid_0's mape: 0.0091384\n",
      "[226000]\tvalid_0's mape: 0.00913795\n",
      "[228000]\tvalid_0's mape: 0.0091375\n",
      "[230000]\tvalid_0's mape: 0.00913697\n",
      "[232000]\tvalid_0's mape: 0.00913649\n",
      "[234000]\tvalid_0's mape: 0.00913601\n",
      "[236000]\tvalid_0's mape: 0.00913551\n",
      "[238000]\tvalid_0's mape: 0.00913503\n",
      "[240000]\tvalid_0's mape: 0.00913461\n",
      "[242000]\tvalid_0's mape: 0.00913421\n",
      "[244000]\tvalid_0's mape: 0.00913379\n",
      "[246000]\tvalid_0's mape: 0.00913344\n",
      "[248000]\tvalid_0's mape: 0.009133\n",
      "[250000]\tvalid_0's mape: 0.00913257\n",
      "[252000]\tvalid_0's mape: 0.00913221\n",
      "[254000]\tvalid_0's mape: 0.00913188\n",
      "[256000]\tvalid_0's mape: 0.00913147\n",
      "[258000]\tvalid_0's mape: 0.00913111\n",
      "[260000]\tvalid_0's mape: 0.00913072\n",
      "[262000]\tvalid_0's mape: 0.00913034\n",
      "[264000]\tvalid_0's mape: 0.00912998\n",
      "[266000]\tvalid_0's mape: 0.00912969\n",
      "[268000]\tvalid_0's mape: 0.00912945\n",
      "[270000]\tvalid_0's mape: 0.00912919\n",
      "[272000]\tvalid_0's mape: 0.00912891\n",
      "[274000]\tvalid_0's mape: 0.00912857\n",
      "[276000]\tvalid_0's mape: 0.00912824\n",
      "[278000]\tvalid_0's mape: 0.00912794\n",
      "[280000]\tvalid_0's mape: 0.00912766\n",
      "[282000]\tvalid_0's mape: 0.00912739\n",
      "[284000]\tvalid_0's mape: 0.00912715\n",
      "[286000]\tvalid_0's mape: 0.00912691\n",
      "[288000]\tvalid_0's mape: 0.00912671\n",
      "[290000]\tvalid_0's mape: 0.00912653\n",
      "[292000]\tvalid_0's mape: 0.00912636\n",
      "[294000]\tvalid_0's mape: 0.00912613\n",
      "[296000]\tvalid_0's mape: 0.00912591\n",
      "[298000]\tvalid_0's mape: 0.00912569\n",
      "[300000]\tvalid_0's mape: 0.00912546\n",
      "[302000]\tvalid_0's mape: 0.00912523\n",
      "[304000]\tvalid_0's mape: 0.009125\n",
      "[306000]\tvalid_0's mape: 0.00912475\n",
      "[308000]\tvalid_0's mape: 0.00912451\n",
      "[310000]\tvalid_0's mape: 0.00912429\n",
      "[312000]\tvalid_0's mape: 0.00912408\n",
      "[314000]\tvalid_0's mape: 0.00912387\n",
      "[316000]\tvalid_0's mape: 0.00912364\n",
      "[318000]\tvalid_0's mape: 0.00912341\n",
      "[320000]\tvalid_0's mape: 0.00912318\n",
      "[322000]\tvalid_0's mape: 0.00912302\n",
      "[324000]\tvalid_0's mape: 0.00912288\n",
      "[326000]\tvalid_0's mape: 0.00912277\n",
      "[328000]\tvalid_0's mape: 0.00912263\n",
      "[330000]\tvalid_0's mape: 0.0091225\n",
      "[332000]\tvalid_0's mape: 0.00912238\n",
      "[334000]\tvalid_0's mape: 0.00912222\n",
      "[336000]\tvalid_0's mape: 0.00912206\n",
      "[338000]\tvalid_0's mape: 0.00912191\n",
      "[340000]\tvalid_0's mape: 0.00912175\n",
      "[342000]\tvalid_0's mape: 0.00912161\n",
      "[344000]\tvalid_0's mape: 0.00912146\n",
      "[346000]\tvalid_0's mape: 0.00912133\n",
      "[348000]\tvalid_0's mape: 0.00912118\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[350000]\tvalid_0's mape: 0.00912104\n",
      "[352000]\tvalid_0's mape: 0.00912092\n",
      "[354000]\tvalid_0's mape: 0.0091208\n",
      "[356000]\tvalid_0's mape: 0.00912067\n",
      "[358000]\tvalid_0's mape: 0.00912057\n",
      "[360000]\tvalid_0's mape: 0.00912045\n",
      "[362000]\tvalid_0's mape: 0.00912034\n",
      "[364000]\tvalid_0's mape: 0.00912021\n",
      "[366000]\tvalid_0's mape: 0.0091201\n",
      "[368000]\tvalid_0's mape: 0.00911998\n",
      "[370000]\tvalid_0's mape: 0.00911988\n",
      "[372000]\tvalid_0's mape: 0.00911977\n",
      "[374000]\tvalid_0's mape: 0.00911967\n",
      "[376000]\tvalid_0's mape: 0.00911959\n",
      "[378000]\tvalid_0's mape: 0.0091195\n",
      "[380000]\tvalid_0's mape: 0.00911941\n",
      "[382000]\tvalid_0's mape: 0.00911931\n",
      "[384000]\tvalid_0's mape: 0.00911922\n",
      "[386000]\tvalid_0's mape: 0.00911913\n",
      "[388000]\tvalid_0's mape: 0.00911903\n",
      "[390000]\tvalid_0's mape: 0.00911895\n",
      "[392000]\tvalid_0's mape: 0.00911887\n",
      "[394000]\tvalid_0's mape: 0.00911877\n",
      "[396000]\tvalid_0's mape: 0.00911868\n",
      "[398000]\tvalid_0's mape: 0.00911858\n",
      "[400000]\tvalid_0's mape: 0.0091185\n",
      "[402000]\tvalid_0's mape: 0.0091184\n",
      "[404000]\tvalid_0's mape: 0.00911833\n",
      "[406000]\tvalid_0's mape: 0.00911825\n",
      "[408000]\tvalid_0's mape: 0.00911817\n",
      "[410000]\tvalid_0's mape: 0.0091181\n",
      "[412000]\tvalid_0's mape: 0.00911803\n",
      "[414000]\tvalid_0's mape: 0.00911796\n",
      "[416000]\tvalid_0's mape: 0.00911788\n",
      "[418000]\tvalid_0's mape: 0.00911781\n",
      "[420000]\tvalid_0's mape: 0.00911773\n",
      "[422000]\tvalid_0's mape: 0.00911767\n",
      "[424000]\tvalid_0's mape: 0.00911762\n",
      "[426000]\tvalid_0's mape: 0.00911756\n",
      "[428000]\tvalid_0's mape: 0.00911748\n",
      "[430000]\tvalid_0's mape: 0.00911744\n",
      "[432000]\tvalid_0's mape: 0.00911739\n",
      "[434000]\tvalid_0's mape: 0.00911733\n",
      "[436000]\tvalid_0's mape: 0.00911726\n",
      "[438000]\tvalid_0's mape: 0.00911719\n",
      "[440000]\tvalid_0's mape: 0.00911712\n",
      "[442000]\tvalid_0's mape: 0.00911707\n",
      "[444000]\tvalid_0's mape: 0.00911701\n",
      "[446000]\tvalid_0's mape: 0.00911694\n",
      "[448000]\tvalid_0's mape: 0.00911688\n",
      "[450000]\tvalid_0's mape: 0.00911681\n",
      "[452000]\tvalid_0's mape: 0.00911675\n",
      "[454000]\tvalid_0's mape: 0.0091167\n",
      "[456000]\tvalid_0's mape: 0.00911666\n",
      "[458000]\tvalid_0's mape: 0.00911661\n",
      "[460000]\tvalid_0's mape: 0.00911656\n",
      "[462000]\tvalid_0's mape: 0.00911651\n",
      "[464000]\tvalid_0's mape: 0.00911646\n",
      "[466000]\tvalid_0's mape: 0.00911641\n",
      "[468000]\tvalid_0's mape: 0.00911636\n",
      "[470000]\tvalid_0's mape: 0.00911631\n",
      "[472000]\tvalid_0's mape: 0.00911626\n",
      "[474000]\tvalid_0's mape: 0.00911622\n",
      "[476000]\tvalid_0's mape: 0.00911619\n",
      "[478000]\tvalid_0's mape: 0.00911615\n",
      "[480000]\tvalid_0's mape: 0.00911611\n",
      "[482000]\tvalid_0's mape: 0.00911608\n",
      "[484000]\tvalid_0's mape: 0.00911604\n",
      "[486000]\tvalid_0's mape: 0.00911601\n",
      "[488000]\tvalid_0's mape: 0.00911597\n",
      "[490000]\tvalid_0's mape: 0.00911593\n",
      "[492000]\tvalid_0's mape: 0.0091159\n",
      "[494000]\tvalid_0's mape: 0.00911587\n",
      "[496000]\tvalid_0's mape: 0.00911584\n",
      "[498000]\tvalid_0's mape: 0.0091158\n",
      "[500000]\tvalid_0's mape: 0.00911577\n",
      "[502000]\tvalid_0's mape: 0.00911573\n",
      "[504000]\tvalid_0's mape: 0.0091157\n",
      "[506000]\tvalid_0's mape: 0.00911567\n",
      "[508000]\tvalid_0's mape: 0.00911565\n",
      "[510000]\tvalid_0's mape: 0.00911562\n",
      "[512000]\tvalid_0's mape: 0.00911559\n",
      "[514000]\tvalid_0's mape: 0.00911556\n",
      "[516000]\tvalid_0's mape: 0.00911554\n",
      "[518000]\tvalid_0's mape: 0.00911552\n",
      "[520000]\tvalid_0's mape: 0.00911549\n",
      "[522000]\tvalid_0's mape: 0.00911546\n",
      "[524000]\tvalid_0's mape: 0.00911544\n",
      "[526000]\tvalid_0's mape: 0.00911541\n",
      "[528000]\tvalid_0's mape: 0.00911539\n",
      "[530000]\tvalid_0's mape: 0.00911536\n",
      "[532000]\tvalid_0's mape: 0.00911533\n",
      "[534000]\tvalid_0's mape: 0.00911531\n",
      "[536000]\tvalid_0's mape: 0.00911529\n",
      "[538000]\tvalid_0's mape: 0.00911527\n",
      "[540000]\tvalid_0's mape: 0.00911525\n",
      "[542000]\tvalid_0's mape: 0.00911523\n",
      "[544000]\tvalid_0's mape: 0.00911519\n",
      "[546000]\tvalid_0's mape: 0.00911517\n",
      "[548000]\tvalid_0's mape: 0.00911515\n",
      "[550000]\tvalid_0's mape: 0.00911513\n",
      "[552000]\tvalid_0's mape: 0.00911512\n",
      "[554000]\tvalid_0's mape: 0.0091151\n",
      "[556000]\tvalid_0's mape: 0.00911509\n",
      "[558000]\tvalid_0's mape: 0.00911507\n",
      "[560000]\tvalid_0's mape: 0.00911505\n",
      "[562000]\tvalid_0's mape: 0.00911503\n",
      "[564000]\tvalid_0's mape: 0.00911501\n",
      "[566000]\tvalid_0's mape: 0.00911499\n",
      "[568000]\tvalid_0's mape: 0.00911498\n",
      "Early stopping, best iteration is:\n",
      "[567335]\tvalid_0's mape: 0.00911498\n",
      "(Fold 1) score, mse, mae, mape: 5951.87442, 0.03823, 0.12141, 0.00911.\n",
      "Training until validation scores don't improve for 1000 rounds.\n",
      "[2000]\tvalid_0's mape: 0.0263647\n",
      "[4000]\tvalid_0's mape: 0.0157382\n",
      "[6000]\tvalid_0's mape: 0.0125775\n",
      "[8000]\tvalid_0's mape: 0.0114652\n",
      "[10000]\tvalid_0's mape: 0.0109279\n",
      "[12000]\tvalid_0's mape: 0.0106054\n",
      "[14000]\tvalid_0's mape: 0.0103876\n",
      "[16000]\tvalid_0's mape: 0.010226\n",
      "[18000]\tvalid_0's mape: 0.0100998\n",
      "[20000]\tvalid_0's mape: 0.0100002\n",
      "[22000]\tvalid_0's mape: 0.0099166\n",
      "[24000]\tvalid_0's mape: 0.00984333\n",
      "[26000]\tvalid_0's mape: 0.00978072\n",
      "[28000]\tvalid_0's mape: 0.00972787\n",
      "[30000]\tvalid_0's mape: 0.00968265\n",
      "[32000]\tvalid_0's mape: 0.00964337\n",
      "[34000]\tvalid_0's mape: 0.00960889\n",
      "[36000]\tvalid_0's mape: 0.00957733\n",
      "[38000]\tvalid_0's mape: 0.00954873\n",
      "[40000]\tvalid_0's mape: 0.00952421\n",
      "[42000]\tvalid_0's mape: 0.00950144\n",
      "[44000]\tvalid_0's mape: 0.0094808\n",
      "[46000]\tvalid_0's mape: 0.00946154\n",
      "[48000]\tvalid_0's mape: 0.00944463\n",
      "[50000]\tvalid_0's mape: 0.00942805\n",
      "[52000]\tvalid_0's mape: 0.00941236\n",
      "[54000]\tvalid_0's mape: 0.00939802\n",
      "[56000]\tvalid_0's mape: 0.00938457\n",
      "[58000]\tvalid_0's mape: 0.00937223\n",
      "[60000]\tvalid_0's mape: 0.00936031\n",
      "[62000]\tvalid_0's mape: 0.00934884\n",
      "[64000]\tvalid_0's mape: 0.0093378\n",
      "[66000]\tvalid_0's mape: 0.00932747\n",
      "[68000]\tvalid_0's mape: 0.00931789\n",
      "[70000]\tvalid_0's mape: 0.00930871\n",
      "[72000]\tvalid_0's mape: 0.00930014\n",
      "[74000]\tvalid_0's mape: 0.00929175\n",
      "[76000]\tvalid_0's mape: 0.00928377\n",
      "[78000]\tvalid_0's mape: 0.00927658\n",
      "[80000]\tvalid_0's mape: 0.00926982\n",
      "[82000]\tvalid_0's mape: 0.00926349\n",
      "[84000]\tvalid_0's mape: 0.00925744\n",
      "[86000]\tvalid_0's mape: 0.00925153\n",
      "[88000]\tvalid_0's mape: 0.00924591\n",
      "[90000]\tvalid_0's mape: 0.00924042\n",
      "[92000]\tvalid_0's mape: 0.00923522\n",
      "[94000]\tvalid_0's mape: 0.00923031\n",
      "[96000]\tvalid_0's mape: 0.0092254\n",
      "[98000]\tvalid_0's mape: 0.00922115\n",
      "[100000]\tvalid_0's mape: 0.00921733\n",
      "[102000]\tvalid_0's mape: 0.00921336\n",
      "[104000]\tvalid_0's mape: 0.00920954\n",
      "[106000]\tvalid_0's mape: 0.00920592\n",
      "[108000]\tvalid_0's mape: 0.00920266\n",
      "[110000]\tvalid_0's mape: 0.00919943\n",
      "[112000]\tvalid_0's mape: 0.0091963\n",
      "[114000]\tvalid_0's mape: 0.00919319\n",
      "[116000]\tvalid_0's mape: 0.00919034\n",
      "[118000]\tvalid_0's mape: 0.00918749\n",
      "[120000]\tvalid_0's mape: 0.00918466\n",
      "[122000]\tvalid_0's mape: 0.009182\n",
      "[124000]\tvalid_0's mape: 0.00917943\n",
      "[126000]\tvalid_0's mape: 0.00917694\n",
      "[128000]\tvalid_0's mape: 0.00917417\n",
      "[130000]\tvalid_0's mape: 0.00917177\n",
      "[132000]\tvalid_0's mape: 0.00916956\n",
      "[134000]\tvalid_0's mape: 0.00916766\n",
      "[136000]\tvalid_0's mape: 0.00916578\n",
      "[138000]\tvalid_0's mape: 0.00916403\n",
      "[140000]\tvalid_0's mape: 0.0091625\n",
      "[142000]\tvalid_0's mape: 0.00916083\n",
      "[144000]\tvalid_0's mape: 0.00915925\n",
      "[146000]\tvalid_0's mape: 0.00915769\n",
      "[148000]\tvalid_0's mape: 0.00915618\n",
      "[150000]\tvalid_0's mape: 0.00915474\n",
      "[152000]\tvalid_0's mape: 0.00915341\n",
      "[154000]\tvalid_0's mape: 0.009152\n",
      "[156000]\tvalid_0's mape: 0.00915065\n",
      "[158000]\tvalid_0's mape: 0.00914933\n",
      "[160000]\tvalid_0's mape: 0.00914811\n",
      "[162000]\tvalid_0's mape: 0.00914675\n",
      "[164000]\tvalid_0's mape: 0.00914552\n",
      "[166000]\tvalid_0's mape: 0.00914444\n",
      "[168000]\tvalid_0's mape: 0.00914337\n",
      "[170000]\tvalid_0's mape: 0.00914235\n",
      "[172000]\tvalid_0's mape: 0.00914127\n",
      "[174000]\tvalid_0's mape: 0.00914023\n",
      "[176000]\tvalid_0's mape: 0.00913912\n",
      "[178000]\tvalid_0's mape: 0.00913815\n",
      "[180000]\tvalid_0's mape: 0.00913711\n",
      "[182000]\tvalid_0's mape: 0.00913616\n",
      "[184000]\tvalid_0's mape: 0.00913537\n",
      "[186000]\tvalid_0's mape: 0.00913459\n",
      "[188000]\tvalid_0's mape: 0.00913396\n",
      "[190000]\tvalid_0's mape: 0.00913326\n",
      "[192000]\tvalid_0's mape: 0.00913257\n",
      "[198000]\tvalid_0's mape: 0.00913043\n",
      "[200000]\tvalid_0's mape: 0.00912969\n",
      "[202000]\tvalid_0's mape: 0.009129\n",
      "[204000]\tvalid_0's mape: 0.00912831\n",
      "[206000]\tvalid_0's mape: 0.0091277\n",
      "[208000]\tvalid_0's mape: 0.00912705\n",
      "[210000]\tvalid_0's mape: 0.00912655\n",
      "[212000]\tvalid_0's mape: 0.00912608\n",
      "[214000]\tvalid_0's mape: 0.00912563\n",
      "[216000]\tvalid_0's mape: 0.00912517\n",
      "[218000]\tvalid_0's mape: 0.00912462\n",
      "[220000]\tvalid_0's mape: 0.00912409\n",
      "[222000]\tvalid_0's mape: 0.00912364\n",
      "[224000]\tvalid_0's mape: 0.00912325\n",
      "[226000]\tvalid_0's mape: 0.00912284\n",
      "[228000]\tvalid_0's mape: 0.0091224\n",
      "[230000]\tvalid_0's mape: 0.0091219\n",
      "[232000]\tvalid_0's mape: 0.00912142\n",
      "[234000]\tvalid_0's mape: 0.00912097\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[236000]\tvalid_0's mape: 0.0091206\n",
      "[238000]\tvalid_0's mape: 0.00912022\n",
      "[240000]\tvalid_0's mape: 0.00911979\n",
      "[242000]\tvalid_0's mape: 0.00911933\n",
      "[244000]\tvalid_0's mape: 0.0091188\n",
      "[246000]\tvalid_0's mape: 0.00911835\n",
      "[248000]\tvalid_0's mape: 0.00911789\n",
      "[250000]\tvalid_0's mape: 0.00911746\n",
      "[252000]\tvalid_0's mape: 0.00911716\n",
      "[254000]\tvalid_0's mape: 0.00911686\n",
      "[256000]\tvalid_0's mape: 0.00911652\n",
      "[258000]\tvalid_0's mape: 0.00911618\n",
      "[260000]\tvalid_0's mape: 0.00911591\n",
      "[262000]\tvalid_0's mape: 0.0091157\n",
      "[264000]\tvalid_0's mape: 0.00911548\n",
      "[266000]\tvalid_0's mape: 0.00911518\n",
      "[268000]\tvalid_0's mape: 0.00911488\n",
      "[270000]\tvalid_0's mape: 0.00911459\n",
      "[272000]\tvalid_0's mape: 0.0091143\n",
      "[274000]\tvalid_0's mape: 0.00911395\n",
      "[276000]\tvalid_0's mape: 0.00911367\n",
      "[278000]\tvalid_0's mape: 0.00911341\n",
      "[280000]\tvalid_0's mape: 0.00911325\n",
      "[282000]\tvalid_0's mape: 0.00911298\n",
      "[284000]\tvalid_0's mape: 0.00911274\n",
      "[286000]\tvalid_0's mape: 0.00911249\n",
      "[288000]\tvalid_0's mape: 0.00911229\n",
      "[290000]\tvalid_0's mape: 0.00911212\n",
      "[292000]\tvalid_0's mape: 0.00911192\n",
      "[294000]\tvalid_0's mape: 0.00911172\n",
      "[296000]\tvalid_0's mape: 0.00911148\n",
      "[298000]\tvalid_0's mape: 0.00911126\n",
      "[300000]\tvalid_0's mape: 0.00911107\n",
      "[302000]\tvalid_0's mape: 0.00911085\n",
      "[304000]\tvalid_0's mape: 0.00911064\n",
      "[306000]\tvalid_0's mape: 0.00911041\n",
      "[308000]\tvalid_0's mape: 0.00911023\n",
      "[310000]\tvalid_0's mape: 0.00911\n",
      "[312000]\tvalid_0's mape: 0.00910982\n",
      "[314000]\tvalid_0's mape: 0.00910965\n",
      "[316000]\tvalid_0's mape: 0.00910947\n",
      "[318000]\tvalid_0's mape: 0.00910933\n",
      "[320000]\tvalid_0's mape: 0.00910919\n",
      "[322000]\tvalid_0's mape: 0.00910908\n",
      "[324000]\tvalid_0's mape: 0.00910896\n",
      "[326000]\tvalid_0's mape: 0.00910883\n",
      "[328000]\tvalid_0's mape: 0.0091087\n",
      "[330000]\tvalid_0's mape: 0.00910858\n",
      "[332000]\tvalid_0's mape: 0.00910846\n",
      "[334000]\tvalid_0's mape: 0.00910834\n",
      "[336000]\tvalid_0's mape: 0.00910821\n",
      "[338000]\tvalid_0's mape: 0.00910808\n",
      "[340000]\tvalid_0's mape: 0.00910797\n",
      "[342000]\tvalid_0's mape: 0.00910787\n",
      "[344000]\tvalid_0's mape: 0.00910774\n",
      "[346000]\tvalid_0's mape: 0.00910761\n",
      "[348000]\tvalid_0's mape: 0.00910747\n",
      "[350000]\tvalid_0's mape: 0.00910734\n",
      "[352000]\tvalid_0's mape: 0.00910723\n",
      "[354000]\tvalid_0's mape: 0.00910713\n",
      "[356000]\tvalid_0's mape: 0.00910704\n",
      "[358000]\tvalid_0's mape: 0.00910692\n",
      "[360000]\tvalid_0's mape: 0.00910683\n",
      "[362000]\tvalid_0's mape: 0.0091067\n",
      "[364000]\tvalid_0's mape: 0.0091066\n",
      "[366000]\tvalid_0's mape: 0.0091065\n",
      "[368000]\tvalid_0's mape: 0.00910639\n",
      "[370000]\tvalid_0's mape: 0.00910626\n",
      "[372000]\tvalid_0's mape: 0.00910617\n",
      "[374000]\tvalid_0's mape: 0.00910609\n",
      "[376000]\tvalid_0's mape: 0.00910599\n",
      "[378000]\tvalid_0's mape: 0.0091059\n",
      "[380000]\tvalid_0's mape: 0.00910581\n",
      "[382000]\tvalid_0's mape: 0.00910573\n",
      "[384000]\tvalid_0's mape: 0.00910566\n",
      "[386000]\tvalid_0's mape: 0.00910557\n",
      "[388000]\tvalid_0's mape: 0.0091055\n",
      "[390000]\tvalid_0's mape: 0.00910541\n",
      "[392000]\tvalid_0's mape: 0.00910535\n",
      "[394000]\tvalid_0's mape: 0.00910528\n",
      "[396000]\tvalid_0's mape: 0.00910519\n",
      "[398000]\tvalid_0's mape: 0.00910508\n",
      "[400000]\tvalid_0's mape: 0.009105\n",
      "[402000]\tvalid_0's mape: 0.00910491\n",
      "[404000]\tvalid_0's mape: 0.00910483\n",
      "[406000]\tvalid_0's mape: 0.00910477\n",
      "[408000]\tvalid_0's mape: 0.00910471\n",
      "[410000]\tvalid_0's mape: 0.00910465\n",
      "[412000]\tvalid_0's mape: 0.00910458\n",
      "[414000]\tvalid_0's mape: 0.00910453\n",
      "[416000]\tvalid_0's mape: 0.00910447\n",
      "[418000]\tvalid_0's mape: 0.00910443\n",
      "[420000]\tvalid_0's mape: 0.00910439\n",
      "[422000]\tvalid_0's mape: 0.00910436\n",
      "[424000]\tvalid_0's mape: 0.00910431\n",
      "[426000]\tvalid_0's mape: 0.00910428\n",
      "[428000]\tvalid_0's mape: 0.00910423\n",
      "[430000]\tvalid_0's mape: 0.00910418\n",
      "[432000]\tvalid_0's mape: 0.00910413\n",
      "[434000]\tvalid_0's mape: 0.00910408\n",
      "[436000]\tvalid_0's mape: 0.00910403\n",
      "[438000]\tvalid_0's mape: 0.00910398\n",
      "[440000]\tvalid_0's mape: 0.00910393\n",
      "[442000]\tvalid_0's mape: 0.0091039\n",
      "[444000]\tvalid_0's mape: 0.00910385\n",
      "[446000]\tvalid_0's mape: 0.0091038\n",
      "[448000]\tvalid_0's mape: 0.00910376\n",
      "[450000]\tvalid_0's mape: 0.0091037\n",
      "[452000]\tvalid_0's mape: 0.00910366\n",
      "[454000]\tvalid_0's mape: 0.00910361\n",
      "[456000]\tvalid_0's mape: 0.00910356\n",
      "[458000]\tvalid_0's mape: 0.00910352\n",
      "[460000]\tvalid_0's mape: 0.00910348\n",
      "[462000]\tvalid_0's mape: 0.00910344\n",
      "[464000]\tvalid_0's mape: 0.00910339\n",
      "[466000]\tvalid_0's mape: 0.00910335\n",
      "[468000]\tvalid_0's mape: 0.00910331\n",
      "[470000]\tvalid_0's mape: 0.00910327\n",
      "[472000]\tvalid_0's mape: 0.00910323\n",
      "[474000]\tvalid_0's mape: 0.00910319\n",
      "[476000]\tvalid_0's mape: 0.00910314\n",
      "[478000]\tvalid_0's mape: 0.00910309\n",
      "[480000]\tvalid_0's mape: 0.00910306\n",
      "[482000]\tvalid_0's mape: 0.00910303\n",
      "[484000]\tvalid_0's mape: 0.009103\n",
      "[486000]\tvalid_0's mape: 0.00910297\n",
      "[488000]\tvalid_0's mape: 0.00910294\n",
      "[490000]\tvalid_0's mape: 0.00910291\n",
      "[492000]\tvalid_0's mape: 0.00910287\n",
      "[494000]\tvalid_0's mape: 0.00910286\n",
      "[496000]\tvalid_0's mape: 0.00910283\n",
      "[498000]\tvalid_0's mape: 0.00910281\n",
      "[500000]\tvalid_0's mape: 0.00910278\n",
      "[502000]\tvalid_0's mape: 0.00910275\n",
      "[504000]\tvalid_0's mape: 0.00910272\n",
      "[506000]\tvalid_0's mape: 0.00910269\n",
      "[508000]\tvalid_0's mape: 0.00910267\n",
      "[510000]\tvalid_0's mape: 0.00910265\n",
      "[512000]\tvalid_0's mape: 0.00910263\n",
      "[514000]\tvalid_0's mape: 0.00910262\n",
      "[516000]\tvalid_0's mape: 0.0091026\n",
      "[518000]\tvalid_0's mape: 0.00910257\n",
      "[520000]\tvalid_0's mape: 0.00910254\n",
      "[522000]\tvalid_0's mape: 0.00910251\n",
      "[524000]\tvalid_0's mape: 0.00910249\n",
      "[526000]\tvalid_0's mape: 0.00910247\n",
      "[528000]\tvalid_0's mape: 0.00910244\n",
      "[530000]\tvalid_0's mape: 0.00910241\n",
      "[532000]\tvalid_0's mape: 0.00910239\n",
      "[534000]\tvalid_0's mape: 0.00910237\n",
      "[536000]\tvalid_0's mape: 0.00910235\n",
      "[538000]\tvalid_0's mape: 0.00910233\n",
      "[540000]\tvalid_0's mape: 0.00910231\n",
      "[542000]\tvalid_0's mape: 0.00910229\n",
      "[544000]\tvalid_0's mape: 0.00910227\n",
      "[546000]\tvalid_0's mape: 0.00910225\n",
      "[548000]\tvalid_0's mape: 0.00910223\n",
      "[550000]\tvalid_0's mape: 0.00910221\n",
      "[552000]\tvalid_0's mape: 0.00910219\n",
      "[554000]\tvalid_0's mape: 0.00910217\n",
      "[556000]\tvalid_0's mape: 0.00910215\n",
      "[558000]\tvalid_0's mape: 0.00910213\n",
      "[560000]\tvalid_0's mape: 0.00910211\n",
      "[562000]\tvalid_0's mape: 0.00910209\n",
      "[564000]\tvalid_0's mape: 0.00910208\n",
      "Early stopping, best iteration is:\n",
      "[564540]\tvalid_0's mape: 0.00910208\n",
      "(Fold 2) score, mse, mae, mape: 5963.87227, 0.03787, 0.12102, 0.00910.\n",
      "Training until validation scores don't improve for 1000 rounds.\n",
      "[2000]\tvalid_0's mape: 0.0265568\n",
      "[4000]\tvalid_0's mape: 0.0158163\n",
      "[6000]\tvalid_0's mape: 0.0126675\n",
      "[8000]\tvalid_0's mape: 0.011587\n",
      "[10000]\tvalid_0's mape: 0.0110668\n",
      "[12000]\tvalid_0's mape: 0.0107444\n",
      "[14000]\tvalid_0's mape: 0.0105269\n",
      "[16000]\tvalid_0's mape: 0.0103659\n",
      "[18000]\tvalid_0's mape: 0.0102371\n",
      "[20000]\tvalid_0's mape: 0.0101311\n",
      "[22000]\tvalid_0's mape: 0.0100416\n",
      "[24000]\tvalid_0's mape: 0.00996505\n",
      "[26000]\tvalid_0's mape: 0.00989824\n",
      "[28000]\tvalid_0's mape: 0.00984116\n",
      "[30000]\tvalid_0's mape: 0.00979301\n",
      "[32000]\tvalid_0's mape: 0.00975119\n",
      "[34000]\tvalid_0's mape: 0.00971373\n",
      "[36000]\tvalid_0's mape: 0.00967999\n",
      "[38000]\tvalid_0's mape: 0.00964928\n",
      "[40000]\tvalid_0's mape: 0.00962154\n",
      "[42000]\tvalid_0's mape: 0.00959599\n",
      "[44000]\tvalid_0's mape: 0.00957212\n",
      "[46000]\tvalid_0's mape: 0.00954976\n",
      "[48000]\tvalid_0's mape: 0.00952926\n",
      "[50000]\tvalid_0's mape: 0.00951051\n",
      "[52000]\tvalid_0's mape: 0.00949299\n",
      "[54000]\tvalid_0's mape: 0.00947634\n",
      "[56000]\tvalid_0's mape: 0.00946053\n",
      "[58000]\tvalid_0's mape: 0.00944593\n",
      "[60000]\tvalid_0's mape: 0.0094317\n",
      "[62000]\tvalid_0's mape: 0.00941857\n",
      "[64000]\tvalid_0's mape: 0.00940619\n",
      "[66000]\tvalid_0's mape: 0.00939476\n",
      "[68000]\tvalid_0's mape: 0.00938393\n",
      "[70000]\tvalid_0's mape: 0.00937378\n",
      "[72000]\tvalid_0's mape: 0.00936429\n",
      "[74000]\tvalid_0's mape: 0.00935475\n",
      "[76000]\tvalid_0's mape: 0.00934609\n",
      "[78000]\tvalid_0's mape: 0.00933788\n",
      "[80000]\tvalid_0's mape: 0.00933013\n",
      "[82000]\tvalid_0's mape: 0.00932289\n",
      "[84000]\tvalid_0's mape: 0.00931575\n",
      "[86000]\tvalid_0's mape: 0.00930884\n",
      "[88000]\tvalid_0's mape: 0.00930217\n",
      "[90000]\tvalid_0's mape: 0.00929621\n",
      "[92000]\tvalid_0's mape: 0.0092907\n",
      "[94000]\tvalid_0's mape: 0.00928549\n",
      "[96000]\tvalid_0's mape: 0.00928041\n",
      "[98000]\tvalid_0's mape: 0.00927575\n",
      "[100000]\tvalid_0's mape: 0.00927096\n",
      "[102000]\tvalid_0's mape: 0.00926649\n",
      "[104000]\tvalid_0's mape: 0.00926224\n",
      "[106000]\tvalid_0's mape: 0.00925797\n",
      "[108000]\tvalid_0's mape: 0.00925382\n",
      "[110000]\tvalid_0's mape: 0.00924991\n",
      "[112000]\tvalid_0's mape: 0.00924648\n",
      "[114000]\tvalid_0's mape: 0.00924312\n",
      "[116000]\tvalid_0's mape: 0.00923991\n",
      "[118000]\tvalid_0's mape: 0.00923681\n",
      "[120000]\tvalid_0's mape: 0.00923377\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[122000]\tvalid_0's mape: 0.00923076\n",
      "[124000]\tvalid_0's mape: 0.00922776\n",
      "[126000]\tvalid_0's mape: 0.0092249\n",
      "[128000]\tvalid_0's mape: 0.00922213\n",
      "[130000]\tvalid_0's mape: 0.00921961\n",
      "[132000]\tvalid_0's mape: 0.00921728\n",
      "[134000]\tvalid_0's mape: 0.0092147\n",
      "[136000]\tvalid_0's mape: 0.00921224\n",
      "[138000]\tvalid_0's mape: 0.00921007\n",
      "[140000]\tvalid_0's mape: 0.00920799\n",
      "[142000]\tvalid_0's mape: 0.00920595\n",
      "[144000]\tvalid_0's mape: 0.00920383\n",
      "[146000]\tvalid_0's mape: 0.00920187\n",
      "[148000]\tvalid_0's mape: 0.00919992\n",
      "[150000]\tvalid_0's mape: 0.00919811\n",
      "[152000]\tvalid_0's mape: 0.00919634\n",
      "[154000]\tvalid_0's mape: 0.00919455\n",
      "[156000]\tvalid_0's mape: 0.00919288\n",
      "[158000]\tvalid_0's mape: 0.00919126\n",
      "[160000]\tvalid_0's mape: 0.00918973\n",
      "[162000]\tvalid_0's mape: 0.00918828\n",
      "[164000]\tvalid_0's mape: 0.0091868\n",
      "[166000]\tvalid_0's mape: 0.00918543\n",
      "[168000]\tvalid_0's mape: 0.00918416\n",
      "[170000]\tvalid_0's mape: 0.00918285\n",
      "[172000]\tvalid_0's mape: 0.00918164\n",
      "[174000]\tvalid_0's mape: 0.00918044\n",
      "[176000]\tvalid_0's mape: 0.00917936\n",
      "[178000]\tvalid_0's mape: 0.00917831\n",
      "[180000]\tvalid_0's mape: 0.0091773\n",
      "[182000]\tvalid_0's mape: 0.00917629\n",
      "[184000]\tvalid_0's mape: 0.00917535\n",
      "[186000]\tvalid_0's mape: 0.00917441\n",
      "[188000]\tvalid_0's mape: 0.00917354\n",
      "[190000]\tvalid_0's mape: 0.00917262\n",
      "[192000]\tvalid_0's mape: 0.00917179\n",
      "[194000]\tvalid_0's mape: 0.0091709\n",
      "[196000]\tvalid_0's mape: 0.00917005\n",
      "[198000]\tvalid_0's mape: 0.00916928\n",
      "[200000]\tvalid_0's mape: 0.00916853\n",
      "[202000]\tvalid_0's mape: 0.00916782\n",
      "[204000]\tvalid_0's mape: 0.00916716\n",
      "[206000]\tvalid_0's mape: 0.00916652\n",
      "[208000]\tvalid_0's mape: 0.00916587\n",
      "[210000]\tvalid_0's mape: 0.00916522\n",
      "[212000]\tvalid_0's mape: 0.0091646\n",
      "[214000]\tvalid_0's mape: 0.00916396\n",
      "[216000]\tvalid_0's mape: 0.00916336\n",
      "[218000]\tvalid_0's mape: 0.0091628\n",
      "[220000]\tvalid_0's mape: 0.00916229\n",
      "[222000]\tvalid_0's mape: 0.00916182\n",
      "[224000]\tvalid_0's mape: 0.0091613\n",
      "[226000]\tvalid_0's mape: 0.00916077\n",
      "[228000]\tvalid_0's mape: 0.00916025\n",
      "[230000]\tvalid_0's mape: 0.00915976\n",
      "[232000]\tvalid_0's mape: 0.00915925\n",
      "[234000]\tvalid_0's mape: 0.00915876\n",
      "[236000]\tvalid_0's mape: 0.00915827\n",
      "[238000]\tvalid_0's mape: 0.00915776\n",
      "[240000]\tvalid_0's mape: 0.00915732\n",
      "[242000]\tvalid_0's mape: 0.00915681\n",
      "[244000]\tvalid_0's mape: 0.00915635\n",
      "[246000]\tvalid_0's mape: 0.00915586\n",
      "[248000]\tvalid_0's mape: 0.00915541\n",
      "[250000]\tvalid_0's mape: 0.00915507\n",
      "[252000]\tvalid_0's mape: 0.00915476\n",
      "[254000]\tvalid_0's mape: 0.00915443\n",
      "[256000]\tvalid_0's mape: 0.00915406\n",
      "[258000]\tvalid_0's mape: 0.00915368\n",
      "[260000]\tvalid_0's mape: 0.00915331\n",
      "[262000]\tvalid_0's mape: 0.00915301\n",
      "[264000]\tvalid_0's mape: 0.00915273\n",
      "[266000]\tvalid_0's mape: 0.00915248\n",
      "[268000]\tvalid_0's mape: 0.00915222\n",
      "[270000]\tvalid_0's mape: 0.00915194\n",
      "[272000]\tvalid_0's mape: 0.00915169\n",
      "[274000]\tvalid_0's mape: 0.00915143\n",
      "[276000]\tvalid_0's mape: 0.00915119\n",
      "[278000]\tvalid_0's mape: 0.00915087\n",
      "[280000]\tvalid_0's mape: 0.00915066\n",
      "[282000]\tvalid_0's mape: 0.00915042\n",
      "[284000]\tvalid_0's mape: 0.00915014\n",
      "[286000]\tvalid_0's mape: 0.00914987\n",
      "[288000]\tvalid_0's mape: 0.00914964\n",
      "[290000]\tvalid_0's mape: 0.00914941\n",
      "[292000]\tvalid_0's mape: 0.00914918\n",
      "[294000]\tvalid_0's mape: 0.00914896\n",
      "[296000]\tvalid_0's mape: 0.00914875\n",
      "[298000]\tvalid_0's mape: 0.00914857\n",
      "[300000]\tvalid_0's mape: 0.00914841\n",
      "[302000]\tvalid_0's mape: 0.00914823\n",
      "[304000]\tvalid_0's mape: 0.00914805\n",
      "[306000]\tvalid_0's mape: 0.00914788\n",
      "[308000]\tvalid_0's mape: 0.00914766\n",
      "[310000]\tvalid_0's mape: 0.00914746\n",
      "[312000]\tvalid_0's mape: 0.00914727\n",
      "[314000]\tvalid_0's mape: 0.0091471\n",
      "[316000]\tvalid_0's mape: 0.00914693\n",
      "[318000]\tvalid_0's mape: 0.00914676\n",
      "[320000]\tvalid_0's mape: 0.0091466\n",
      "[322000]\tvalid_0's mape: 0.00914645\n",
      "[324000]\tvalid_0's mape: 0.00914634\n",
      "[326000]\tvalid_0's mape: 0.00914619\n",
      "[328000]\tvalid_0's mape: 0.00914604\n",
      "[330000]\tvalid_0's mape: 0.00914589\n",
      "[332000]\tvalid_0's mape: 0.00914575\n",
      "[334000]\tvalid_0's mape: 0.00914563\n",
      "[336000]\tvalid_0's mape: 0.00914554\n",
      "[338000]\tvalid_0's mape: 0.00914543\n",
      "[340000]\tvalid_0's mape: 0.00914531\n",
      "[342000]\tvalid_0's mape: 0.00914518\n",
      "[344000]\tvalid_0's mape: 0.00914505\n",
      "[346000]\tvalid_0's mape: 0.00914494\n",
      "[348000]\tvalid_0's mape: 0.00914483\n",
      "[350000]\tvalid_0's mape: 0.00914471\n",
      "[352000]\tvalid_0's mape: 0.00914459\n",
      "[354000]\tvalid_0's mape: 0.00914448\n",
      "[356000]\tvalid_0's mape: 0.00914436\n",
      "[358000]\tvalid_0's mape: 0.00914425\n",
      "[360000]\tvalid_0's mape: 0.00914416\n",
      "[362000]\tvalid_0's mape: 0.00914406\n",
      "[364000]\tvalid_0's mape: 0.00914394\n",
      "[366000]\tvalid_0's mape: 0.00914385\n",
      "[368000]\tvalid_0's mape: 0.00914373\n",
      "[370000]\tvalid_0's mape: 0.00914364\n",
      "[372000]\tvalid_0's mape: 0.00914354\n",
      "[374000]\tvalid_0's mape: 0.00914345\n",
      "[376000]\tvalid_0's mape: 0.00914335\n",
      "[378000]\tvalid_0's mape: 0.00914329\n",
      "[380000]\tvalid_0's mape: 0.00914322\n",
      "[382000]\tvalid_0's mape: 0.00914313\n",
      "[384000]\tvalid_0's mape: 0.00914306\n",
      "[386000]\tvalid_0's mape: 0.00914297\n",
      "[388000]\tvalid_0's mape: 0.0091429\n",
      "[390000]\tvalid_0's mape: 0.00914284\n",
      "[392000]\tvalid_0's mape: 0.0091428\n",
      "[394000]\tvalid_0's mape: 0.00914276\n",
      "[396000]\tvalid_0's mape: 0.0091427\n",
      "[398000]\tvalid_0's mape: 0.00914261\n",
      "[400000]\tvalid_0's mape: 0.00914255\n",
      "[402000]\tvalid_0's mape: 0.00914248\n",
      "[404000]\tvalid_0's mape: 0.00914243\n",
      "[406000]\tvalid_0's mape: 0.00914237\n",
      "[408000]\tvalid_0's mape: 0.00914232\n",
      "[410000]\tvalid_0's mape: 0.00914227\n",
      "[412000]\tvalid_0's mape: 0.00914222\n",
      "[414000]\tvalid_0's mape: 0.00914216\n",
      "[416000]\tvalid_0's mape: 0.00914211\n",
      "[418000]\tvalid_0's mape: 0.00914207\n",
      "[420000]\tvalid_0's mape: 0.00914203\n",
      "[422000]\tvalid_0's mape: 0.00914197\n",
      "[424000]\tvalid_0's mape: 0.00914192\n",
      "[426000]\tvalid_0's mape: 0.00914187\n",
      "[428000]\tvalid_0's mape: 0.00914182\n",
      "[430000]\tvalid_0's mape: 0.00914177\n",
      "[432000]\tvalid_0's mape: 0.00914171\n",
      "[434000]\tvalid_0's mape: 0.00914167\n",
      "[436000]\tvalid_0's mape: 0.00914161\n",
      "[438000]\tvalid_0's mape: 0.00914154\n",
      "[440000]\tvalid_0's mape: 0.00914149\n",
      "[442000]\tvalid_0's mape: 0.00914144\n",
      "[444000]\tvalid_0's mape: 0.0091414\n",
      "[446000]\tvalid_0's mape: 0.00914137\n",
      "[448000]\tvalid_0's mape: 0.00914133\n",
      "[450000]\tvalid_0's mape: 0.00914129\n",
      "[452000]\tvalid_0's mape: 0.00914126\n",
      "[454000]\tvalid_0's mape: 0.00914123\n",
      "[456000]\tvalid_0's mape: 0.00914119\n",
      "[458000]\tvalid_0's mape: 0.00914116\n",
      "[460000]\tvalid_0's mape: 0.00914112\n",
      "[462000]\tvalid_0's mape: 0.00914108\n",
      "[464000]\tvalid_0's mape: 0.00914105\n",
      "[466000]\tvalid_0's mape: 0.00914101\n",
      "[468000]\tvalid_0's mape: 0.00914098\n",
      "[470000]\tvalid_0's mape: 0.00914093\n",
      "[472000]\tvalid_0's mape: 0.00914089\n",
      "[474000]\tvalid_0's mape: 0.00914086\n",
      "[476000]\tvalid_0's mape: 0.00914082\n",
      "[478000]\tvalid_0's mape: 0.00914079\n",
      "[480000]\tvalid_0's mape: 0.00914076\n",
      "[482000]\tvalid_0's mape: 0.00914073\n",
      "[484000]\tvalid_0's mape: 0.0091407\n",
      "[486000]\tvalid_0's mape: 0.00914067\n",
      "[488000]\tvalid_0's mape: 0.00914063\n",
      "[490000]\tvalid_0's mape: 0.0091406\n",
      "[492000]\tvalid_0's mape: 0.00914057\n",
      "[494000]\tvalid_0's mape: 0.00914054\n",
      "[496000]\tvalid_0's mape: 0.00914051\n",
      "[502000]\tvalid_0's mape: 0.00914043\n",
      "[504000]\tvalid_0's mape: 0.00914041\n",
      "[506000]\tvalid_0's mape: 0.00914038\n",
      "[508000]\tvalid_0's mape: 0.00914035\n",
      "[510000]\tvalid_0's mape: 0.00914033\n",
      "[512000]\tvalid_0's mape: 0.0091403\n",
      "[514000]\tvalid_0's mape: 0.00914028\n",
      "[516000]\tvalid_0's mape: 0.00914025\n",
      "[518000]\tvalid_0's mape: 0.00914022\n",
      "[520000]\tvalid_0's mape: 0.0091402\n",
      "[522000]\tvalid_0's mape: 0.00914018\n",
      "[524000]\tvalid_0's mape: 0.00914015\n",
      "[526000]\tvalid_0's mape: 0.00914013\n",
      "[528000]\tvalid_0's mape: 0.00914011\n",
      "[530000]\tvalid_0's mape: 0.00914008\n",
      "[532000]\tvalid_0's mape: 0.00914006\n",
      "[534000]\tvalid_0's mape: 0.00914004\n",
      "[536000]\tvalid_0's mape: 0.00914002\n",
      "[538000]\tvalid_0's mape: 0.00914\n",
      "[540000]\tvalid_0's mape: 0.00913998\n",
      "[542000]\tvalid_0's mape: 0.00913996\n",
      "[544000]\tvalid_0's mape: 0.00913995\n",
      "[546000]\tvalid_0's mape: 0.00913993\n",
      "[548000]\tvalid_0's mape: 0.00913992\n",
      "[550000]\tvalid_0's mape: 0.0091399\n",
      "[552000]\tvalid_0's mape: 0.00913989\n",
      "[554000]\tvalid_0's mape: 0.00913988\n",
      "[556000]\tvalid_0's mape: 0.00913986\n",
      "[558000]\tvalid_0's mape: 0.00913984\n",
      "[560000]\tvalid_0's mape: 0.00913983\n",
      "[562000]\tvalid_0's mape: 0.00913981\n",
      "Early stopping, best iteration is:\n",
      "[562993]\tvalid_0's mape: 0.00913981\n",
      "(Fold 3) score, mse, mae, mape: 5871.87492, 0.03697, 0.12168, 0.00914.\n",
      "Training until validation scores don't improve for 1000 rounds.\n",
      "[2000]\tvalid_0's mape: 0.0268674\n",
      "[4000]\tvalid_0's mape: 0.0160531\n",
      "[6000]\tvalid_0's mape: 0.0127407\n",
      "[8000]\tvalid_0's mape: 0.0115445\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[10000]\tvalid_0's mape: 0.0109591\n",
      "[12000]\tvalid_0's mape: 0.0106121\n",
      "[14000]\tvalid_0's mape: 0.0103808\n",
      "[16000]\tvalid_0's mape: 0.0102086\n",
      "[18000]\tvalid_0's mape: 0.010078\n",
      "[20000]\tvalid_0's mape: 0.00997316\n",
      "[22000]\tvalid_0's mape: 0.00988407\n",
      "[24000]\tvalid_0's mape: 0.00980843\n",
      "[26000]\tvalid_0's mape: 0.00974484\n",
      "[28000]\tvalid_0's mape: 0.00969009\n",
      "[30000]\tvalid_0's mape: 0.0096436\n",
      "[32000]\tvalid_0's mape: 0.00960265\n",
      "[34000]\tvalid_0's mape: 0.00956596\n",
      "[36000]\tvalid_0's mape: 0.00953325\n",
      "[38000]\tvalid_0's mape: 0.00950407\n",
      "[40000]\tvalid_0's mape: 0.00947702\n",
      "[42000]\tvalid_0's mape: 0.00945202\n",
      "[44000]\tvalid_0's mape: 0.0094294\n",
      "[46000]\tvalid_0's mape: 0.00940837\n",
      "[48000]\tvalid_0's mape: 0.00938936\n",
      "[50000]\tvalid_0's mape: 0.00937236\n",
      "[52000]\tvalid_0's mape: 0.00935614\n",
      "[54000]\tvalid_0's mape: 0.00934107\n",
      "[56000]\tvalid_0's mape: 0.00932662\n",
      "[58000]\tvalid_0's mape: 0.00931287\n",
      "[60000]\tvalid_0's mape: 0.00930033\n",
      "[62000]\tvalid_0's mape: 0.0092887\n",
      "[64000]\tvalid_0's mape: 0.00927824\n",
      "[66000]\tvalid_0's mape: 0.00926814\n",
      "[68000]\tvalid_0's mape: 0.00925854\n",
      "[70000]\tvalid_0's mape: 0.00924987\n",
      "[72000]\tvalid_0's mape: 0.00924176\n",
      "[74000]\tvalid_0's mape: 0.00923352\n",
      "[76000]\tvalid_0's mape: 0.00922611\n",
      "[78000]\tvalid_0's mape: 0.00921928\n",
      "[80000]\tvalid_0's mape: 0.00921247\n",
      "[82000]\tvalid_0's mape: 0.00920622\n",
      "[84000]\tvalid_0's mape: 0.00920003\n",
      "[86000]\tvalid_0's mape: 0.00919408\n",
      "[88000]\tvalid_0's mape: 0.00918878\n",
      "[90000]\tvalid_0's mape: 0.00918389\n",
      "[92000]\tvalid_0's mape: 0.00917909\n",
      "[94000]\tvalid_0's mape: 0.00917426\n",
      "[96000]\tvalid_0's mape: 0.00916981\n",
      "[98000]\tvalid_0's mape: 0.00916573\n",
      "[100000]\tvalid_0's mape: 0.00916181\n",
      "[102000]\tvalid_0's mape: 0.00915797\n",
      "[104000]\tvalid_0's mape: 0.00915442\n",
      "[106000]\tvalid_0's mape: 0.0091509\n",
      "[108000]\tvalid_0's mape: 0.0091476\n",
      "[110000]\tvalid_0's mape: 0.00914434\n",
      "[112000]\tvalid_0's mape: 0.00914131\n",
      "[114000]\tvalid_0's mape: 0.00913829\n",
      "[116000]\tvalid_0's mape: 0.00913555\n",
      "[118000]\tvalid_0's mape: 0.00913283\n",
      "[120000]\tvalid_0's mape: 0.00913009\n",
      "[122000]\tvalid_0's mape: 0.00912766\n",
      "[124000]\tvalid_0's mape: 0.00912562\n",
      "[126000]\tvalid_0's mape: 0.00912338\n",
      "[128000]\tvalid_0's mape: 0.00912124\n",
      "[130000]\tvalid_0's mape: 0.00911926\n",
      "[132000]\tvalid_0's mape: 0.00911723\n",
      "[134000]\tvalid_0's mape: 0.00911466\n",
      "[136000]\tvalid_0's mape: 0.0091126\n",
      "[138000]\tvalid_0's mape: 0.00911049\n",
      "[140000]\tvalid_0's mape: 0.00910854\n",
      "[142000]\tvalid_0's mape: 0.00910663\n",
      "[144000]\tvalid_0's mape: 0.00910512\n",
      "[146000]\tvalid_0's mape: 0.00910365\n",
      "[148000]\tvalid_0's mape: 0.00910216\n",
      "[150000]\tvalid_0's mape: 0.00910065\n",
      "[152000]\tvalid_0's mape: 0.00909928\n",
      "[154000]\tvalid_0's mape: 0.00909796\n",
      "[156000]\tvalid_0's mape: 0.00909665\n",
      "[158000]\tvalid_0's mape: 0.00909544\n",
      "[160000]\tvalid_0's mape: 0.00909422\n",
      "[162000]\tvalid_0's mape: 0.00909312\n",
      "[164000]\tvalid_0's mape: 0.00909186\n",
      "[166000]\tvalid_0's mape: 0.00909086\n",
      "[168000]\tvalid_0's mape: 0.00908985\n",
      "[170000]\tvalid_0's mape: 0.00908891\n",
      "[172000]\tvalid_0's mape: 0.00908798\n",
      "[174000]\tvalid_0's mape: 0.00908712\n",
      "[176000]\tvalid_0's mape: 0.00908626\n",
      "[178000]\tvalid_0's mape: 0.00908532\n",
      "[180000]\tvalid_0's mape: 0.00908449\n",
      "[182000]\tvalid_0's mape: 0.0090836\n",
      "[184000]\tvalid_0's mape: 0.00908276\n",
      "[186000]\tvalid_0's mape: 0.00908194\n",
      "[188000]\tvalid_0's mape: 0.00908123\n",
      "[190000]\tvalid_0's mape: 0.00908049\n",
      "[192000]\tvalid_0's mape: 0.00907974\n",
      "[194000]\tvalid_0's mape: 0.00907901\n",
      "[196000]\tvalid_0's mape: 0.00907826\n",
      "[198000]\tvalid_0's mape: 0.00907753\n",
      "[200000]\tvalid_0's mape: 0.00907689\n",
      "[202000]\tvalid_0's mape: 0.00907621\n",
      "[204000]\tvalid_0's mape: 0.00907557\n",
      "[206000]\tvalid_0's mape: 0.00907494\n",
      "[208000]\tvalid_0's mape: 0.00907432\n",
      "[210000]\tvalid_0's mape: 0.00907378\n",
      "[212000]\tvalid_0's mape: 0.00907318\n",
      "[214000]\tvalid_0's mape: 0.00907266\n",
      "[216000]\tvalid_0's mape: 0.0090721\n",
      "[218000]\tvalid_0's mape: 0.0090715\n",
      "[220000]\tvalid_0's mape: 0.00907103\n",
      "[222000]\tvalid_0's mape: 0.00907057\n",
      "[224000]\tvalid_0's mape: 0.00907013\n",
      "[226000]\tvalid_0's mape: 0.00906971\n",
      "[228000]\tvalid_0's mape: 0.00906929\n",
      "[230000]\tvalid_0's mape: 0.00906887\n",
      "[232000]\tvalid_0's mape: 0.00906849\n",
      "[234000]\tvalid_0's mape: 0.00906811\n",
      "[236000]\tvalid_0's mape: 0.00906772\n",
      "[238000]\tvalid_0's mape: 0.00906731\n",
      "[240000]\tvalid_0's mape: 0.00906698\n",
      "[242000]\tvalid_0's mape: 0.0090667\n",
      "[244000]\tvalid_0's mape: 0.0090664\n",
      "[246000]\tvalid_0's mape: 0.00906608\n",
      "[248000]\tvalid_0's mape: 0.00906575\n",
      "[250000]\tvalid_0's mape: 0.00906542\n",
      "[252000]\tvalid_0's mape: 0.00906515\n",
      "[254000]\tvalid_0's mape: 0.00906488\n",
      "[256000]\tvalid_0's mape: 0.00906457\n",
      "[258000]\tvalid_0's mape: 0.00906421\n",
      "[260000]\tvalid_0's mape: 0.00906389\n",
      "[262000]\tvalid_0's mape: 0.00906363\n",
      "[264000]\tvalid_0's mape: 0.00906335\n",
      "[266000]\tvalid_0's mape: 0.00906304\n",
      "[268000]\tvalid_0's mape: 0.00906272\n",
      "[270000]\tvalid_0's mape: 0.00906239\n",
      "[272000]\tvalid_0's mape: 0.00906213\n",
      "[274000]\tvalid_0's mape: 0.00906192\n",
      "[276000]\tvalid_0's mape: 0.00906168\n",
      "[278000]\tvalid_0's mape: 0.00906145\n",
      "[280000]\tvalid_0's mape: 0.0090612\n",
      "[282000]\tvalid_0's mape: 0.00906098\n",
      "[284000]\tvalid_0's mape: 0.00906078\n",
      "[286000]\tvalid_0's mape: 0.00906056\n",
      "[288000]\tvalid_0's mape: 0.00906035\n",
      "[290000]\tvalid_0's mape: 0.00906015\n",
      "[292000]\tvalid_0's mape: 0.00905998\n",
      "[294000]\tvalid_0's mape: 0.00905985\n",
      "[296000]\tvalid_0's mape: 0.00905969\n",
      "[298000]\tvalid_0's mape: 0.00905949\n",
      "[300000]\tvalid_0's mape: 0.00905931\n",
      "[302000]\tvalid_0's mape: 0.00905913\n",
      "[304000]\tvalid_0's mape: 0.00905896\n",
      "[306000]\tvalid_0's mape: 0.00905882\n",
      "[308000]\tvalid_0's mape: 0.00905863\n",
      "[310000]\tvalid_0's mape: 0.00905848\n",
      "[312000]\tvalid_0's mape: 0.00905832\n",
      "[314000]\tvalid_0's mape: 0.00905813\n",
      "[316000]\tvalid_0's mape: 0.00905797\n",
      "[318000]\tvalid_0's mape: 0.00905782\n",
      "[320000]\tvalid_0's mape: 0.0090577\n",
      "[322000]\tvalid_0's mape: 0.00905758\n",
      "[324000]\tvalid_0's mape: 0.00905741\n",
      "[326000]\tvalid_0's mape: 0.00905727\n",
      "[328000]\tvalid_0's mape: 0.00905713\n",
      "[330000]\tvalid_0's mape: 0.00905701\n",
      "[332000]\tvalid_0's mape: 0.00905689\n",
      "[334000]\tvalid_0's mape: 0.00905676\n",
      "[336000]\tvalid_0's mape: 0.00905664\n",
      "[338000]\tvalid_0's mape: 0.00905654\n",
      "[340000]\tvalid_0's mape: 0.00905643\n",
      "[342000]\tvalid_0's mape: 0.00905633\n",
      "[344000]\tvalid_0's mape: 0.00905623\n",
      "[346000]\tvalid_0's mape: 0.00905612\n",
      "[348000]\tvalid_0's mape: 0.009056\n",
      "[350000]\tvalid_0's mape: 0.00905588\n",
      "[352000]\tvalid_0's mape: 0.00905578\n",
      "[354000]\tvalid_0's mape: 0.00905567\n",
      "[356000]\tvalid_0's mape: 0.00905557\n",
      "[358000]\tvalid_0's mape: 0.00905549\n",
      "[360000]\tvalid_0's mape: 0.00905541\n",
      "[362000]\tvalid_0's mape: 0.00905531\n",
      "[364000]\tvalid_0's mape: 0.00905521\n",
      "[366000]\tvalid_0's mape: 0.00905512\n",
      "[368000]\tvalid_0's mape: 0.00905502\n",
      "[370000]\tvalid_0's mape: 0.00905491\n",
      "[372000]\tvalid_0's mape: 0.00905481\n",
      "[374000]\tvalid_0's mape: 0.00905472\n",
      "[376000]\tvalid_0's mape: 0.00905466\n",
      "[378000]\tvalid_0's mape: 0.00905458\n",
      "[380000]\tvalid_0's mape: 0.00905449\n",
      "[382000]\tvalid_0's mape: 0.00905442\n",
      "[384000]\tvalid_0's mape: 0.00905436\n",
      "[386000]\tvalid_0's mape: 0.00905428\n",
      "[388000]\tvalid_0's mape: 0.00905422\n",
      "[390000]\tvalid_0's mape: 0.00905414\n",
      "[392000]\tvalid_0's mape: 0.00905407\n",
      "[394000]\tvalid_0's mape: 0.00905402\n",
      "[396000]\tvalid_0's mape: 0.00905396\n",
      "[398000]\tvalid_0's mape: 0.00905389\n",
      "[400000]\tvalid_0's mape: 0.00905383\n",
      "[402000]\tvalid_0's mape: 0.00905376\n",
      "[404000]\tvalid_0's mape: 0.0090537\n",
      "[406000]\tvalid_0's mape: 0.00905363\n",
      "[408000]\tvalid_0's mape: 0.00905358\n",
      "[410000]\tvalid_0's mape: 0.00905353\n",
      "[412000]\tvalid_0's mape: 0.00905346\n",
      "[414000]\tvalid_0's mape: 0.0090534\n",
      "[416000]\tvalid_0's mape: 0.00905336\n",
      "[418000]\tvalid_0's mape: 0.0090533\n",
      "[420000]\tvalid_0's mape: 0.00905323\n",
      "[422000]\tvalid_0's mape: 0.00905317\n",
      "[424000]\tvalid_0's mape: 0.00905313\n",
      "[426000]\tvalid_0's mape: 0.00905307\n",
      "[428000]\tvalid_0's mape: 0.00905301\n",
      "[430000]\tvalid_0's mape: 0.00905295\n",
      "[432000]\tvalid_0's mape: 0.0090529\n",
      "[434000]\tvalid_0's mape: 0.00905286\n",
      "[436000]\tvalid_0's mape: 0.00905281\n",
      "[438000]\tvalid_0's mape: 0.00905277\n",
      "[440000]\tvalid_0's mape: 0.00905272\n",
      "[442000]\tvalid_0's mape: 0.00905267\n",
      "[444000]\tvalid_0's mape: 0.00905261\n",
      "[446000]\tvalid_0's mape: 0.00905257\n",
      "[448000]\tvalid_0's mape: 0.00905252\n",
      "[450000]\tvalid_0's mape: 0.00905248\n",
      "[452000]\tvalid_0's mape: 0.00905246\n",
      "[454000]\tvalid_0's mape: 0.00905242\n",
      "[456000]\tvalid_0's mape: 0.00905238\n",
      "[458000]\tvalid_0's mape: 0.00905233\n",
      "[460000]\tvalid_0's mape: 0.00905229\n",
      "[462000]\tvalid_0's mape: 0.00905225\n",
      "[464000]\tvalid_0's mape: 0.00905221\n",
      "[466000]\tvalid_0's mape: 0.00905216\n",
      "[468000]\tvalid_0's mape: 0.00905212\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[470000]\tvalid_0's mape: 0.00905209\n",
      "[472000]\tvalid_0's mape: 0.00905206\n",
      "[474000]\tvalid_0's mape: 0.00905203\n",
      "[476000]\tvalid_0's mape: 0.00905199\n",
      "[478000]\tvalid_0's mape: 0.00905195\n",
      "[480000]\tvalid_0's mape: 0.00905192\n",
      "[482000]\tvalid_0's mape: 0.00905189\n",
      "[484000]\tvalid_0's mape: 0.00905186\n",
      "[486000]\tvalid_0's mape: 0.00905182\n",
      "[488000]\tvalid_0's mape: 0.00905178\n",
      "[490000]\tvalid_0's mape: 0.00905175\n",
      "[492000]\tvalid_0's mape: 0.00905172\n",
      "[494000]\tvalid_0's mape: 0.00905169\n",
      "[496000]\tvalid_0's mape: 0.00905165\n",
      "[498000]\tvalid_0's mape: 0.00905162\n",
      "[500000]\tvalid_0's mape: 0.00905159\n",
      "[502000]\tvalid_0's mape: 0.00905155\n",
      "[504000]\tvalid_0's mape: 0.00905151\n",
      "[506000]\tvalid_0's mape: 0.00905148\n",
      "[508000]\tvalid_0's mape: 0.00905144\n",
      "[510000]\tvalid_0's mape: 0.0090514\n",
      "[512000]\tvalid_0's mape: 0.00905137\n",
      "[514000]\tvalid_0's mape: 0.00905135\n",
      "[516000]\tvalid_0's mape: 0.00905132\n",
      "[518000]\tvalid_0's mape: 0.00905129\n",
      "[520000]\tvalid_0's mape: 0.00905126\n",
      "[522000]\tvalid_0's mape: 0.00905124\n",
      "[524000]\tvalid_0's mape: 0.00905121\n",
      "[526000]\tvalid_0's mape: 0.00905118\n",
      "[528000]\tvalid_0's mape: 0.00905115\n",
      "[530000]\tvalid_0's mape: 0.00905113\n",
      "[532000]\tvalid_0's mape: 0.00905111\n",
      "[534000]\tvalid_0's mape: 0.00905108\n",
      "[536000]\tvalid_0's mape: 0.00905106\n",
      "[538000]\tvalid_0's mape: 0.00905103\n",
      "[540000]\tvalid_0's mape: 0.00905101\n",
      "[542000]\tvalid_0's mape: 0.00905099\n",
      "[544000]\tvalid_0's mape: 0.00905097\n",
      "[546000]\tvalid_0's mape: 0.00905095\n",
      "[548000]\tvalid_0's mape: 0.00905094\n",
      "[550000]\tvalid_0's mape: 0.00905092\n",
      "[552000]\tvalid_0's mape: 0.00905091\n",
      "Early stopping, best iteration is:\n",
      "[552633]\tvalid_0's mape: 0.00905091\n",
      "(Fold 4) score, mse, mae, mape: 5892.87283, 0.03690, 0.12041, 0.00905.\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: 83386.89183807373\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): 5902.074201749008 50.01644591193654 [5829.876564533772, 5951.8744222013365, 5963.872272092479, 5871.874915908404, 5892.872834009054]\n"
     ]
    }
   ],
   "source": [
    "print('Kfold cv score (mean, stdev, all):', np.mean(scores), np.std(scores), scores) # 5868.87314"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Kfold cv mape (mean, stdev, all): 0.8742017490088984 0.0015320353529701119 [0.87656453 0.8744222  0.87227209 0.87491591 0.87283401]\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": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>building_id</th>\n",
       "      <th>target_0</th>\n",
       "      <th>target_1</th>\n",
       "      <th>target_2</th>\n",
       "      <th>target_3</th>\n",
       "      <th>target_4</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>X5gsdTWGS3W7JJQB</td>\n",
       "      <td>15.171805</td>\n",
       "      <td>15.256912</td>\n",
       "      <td>15.293385</td>\n",
       "      <td>15.234448</td>\n",
       "      <td>15.137000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>BTshNOJyKHnT2YIT</td>\n",
       "      <td>13.136739</td>\n",
       "      <td>13.121723</td>\n",
       "      <td>13.136577</td>\n",
       "      <td>13.146052</td>\n",
       "      <td>13.137649</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>dhdymr0lV8N5kZOT</td>\n",
       "      <td>13.647196</td>\n",
       "      <td>13.686075</td>\n",
       "      <td>13.696929</td>\n",
       "      <td>13.681952</td>\n",
       "      <td>13.676378</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>VEwyGGMcD56w5BOc</td>\n",
       "      <td>14.812093</td>\n",
       "      <td>14.787163</td>\n",
       "      <td>14.761237</td>\n",
       "      <td>14.803680</td>\n",
       "      <td>14.770922</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>wmUeMoJZfsqaSX9b</td>\n",
       "      <td>12.152501</td>\n",
       "      <td>12.144634</td>\n",
       "      <td>12.078220</td>\n",
       "      <td>12.180692</td>\n",
       "      <td>12.202137</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  15.171805  15.256912  15.293385  15.234448  15.137000\n",
       "1  BTshNOJyKHnT2YIT  13.136739  13.121723  13.136577  13.146052  13.137649\n",
       "2  dhdymr0lV8N5kZOT  13.647196  13.686075  13.696929  13.681952  13.676378\n",
       "3  VEwyGGMcD56w5BOc  14.812093  14.787163  14.761237  14.803680  14.770922\n",
       "4  wmUeMoJZfsqaSX9b  12.152501  12.144634  12.078220  12.180692  12.202137"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "predicts_test.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "pd.concat(predicts_val, axis=0).to_csv('output/'+model_name+'-cv.csv', index=False)\n",
    "\n",
    "predicts_test['target_mean'] = \\\n",
    "    predicts_test[['target_'+str(i) for i in range(len(id_cv))]].mean(axis=1)\n",
    "predicts_test['total_price'] = post_processing(predicts_test['target_mean'].values, df_test)\n",
    "predicts_test[['building_id', 'total_price']].to_csv('output/'+model_name+'-test-kfold.csv', index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Best iterations: [559606, 567335, 564540, 562993, 552633]\n",
      "Mean best iterations: 561421\n"
     ]
    }
   ],
   "source": [
    "print('Best iterations:', best_iterations)\n",
    "print('Mean best iterations:', int(np.mean(best_iterations)))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### One-fold test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'num_boost_round': 673705, 'verbose_eval': 2000}"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lgb_other_params_one = {'num_boost_round': int(np.mean(best_iterations)*1.2),\n",
    "                        'verbose_eval': 2000,}\n",
    "lgb_other_params_one"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'task': 'train',\n",
       " 'boosting_type': 'gbdt',\n",
       " 'objective': 'mse',\n",
       " 'metric': 'mape',\n",
       " 'learning_rate': 0.0005,\n",
       " 'max_depth': 22,\n",
       " 'num_leaves': 255,\n",
       " 'feature_fraction': 0.45,\n",
       " 'min_data_in_leaf': 8,\n",
       " 'lambda_l1': 0.02,\n",
       " 'lambda_l2': 0.04,\n",
       " 'max_bin': 511,\n",
       " 'min_sum_hessian_in_leaf': 0.1,\n",
       " 'min_data_per_group': 50,\n",
       " 'seed': 5817}"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "params"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2000]\ttraining's mape: 0.026067\n",
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     ]
    },
    {
     "name": "stdout",
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      "[442000]\ttraining's mape: 0.000188899\n",
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       "    }\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>1.485198e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>BTshNOJyKHnT2YIT</td>\n",
       "      <td>3.925095e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>dhdymr0lV8N5kZOT</td>\n",
       "      <td>1.066340e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>VEwyGGMcD56w5BOc</td>\n",
       "      <td>6.025775e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>wmUeMoJZfsqaSX9b</td>\n",
       "      <td>1.078927e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>EtBjGAHmHCe9t7TZ</td>\n",
       "      <td>2.667510e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>hPNH34vmaZtvBtqc</td>\n",
       "      <td>1.221733e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>wXjeI38bYDMJJwZC</td>\n",
       "      <td>6.311351e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>fxZSGX6aPAFKU8W4</td>\n",
       "      <td>1.678331e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>ewr0Fx6ign87OwaV</td>\n",
       "      <td>4.097211e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>gHKurnEP4AowzsLg</td>\n",
       "      <td>8.929432e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>PmLfTgY2FElLrTl0</td>\n",
       "      <td>5.296007e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>eM2NppIOwzW0o8iy</td>\n",
       "      <td>9.814476e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>dxxwNun97NH4WTrZ</td>\n",
       "      <td>3.030028e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>jykBfhh3vdeFUi3H</td>\n",
       "      <td>3.991446e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>NlXbvdFfmJZf3L18</td>\n",
       "      <td>2.172956e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>D7jaFWHCzSqLBwdt</td>\n",
       "      <td>9.874762e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>L10dBBdqGmemweSl</td>\n",
       "      <td>6.142550e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>OgB0AdiPKlElakKN</td>\n",
       "      <td>1.085265e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>StiWNN1GQrpPBOYt</td>\n",
       "      <td>2.607358e+06</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         building_id   total_price\n",
       "0   X5gsdTWGS3W7JJQB  1.485198e+07\n",
       "1   BTshNOJyKHnT2YIT  3.925095e+06\n",
       "2   dhdymr0lV8N5kZOT  1.066340e+07\n",
       "3   VEwyGGMcD56w5BOc  6.025775e+06\n",
       "4   wmUeMoJZfsqaSX9b  1.078927e+06\n",
       "5   EtBjGAHmHCe9t7TZ  2.667510e+06\n",
       "6   hPNH34vmaZtvBtqc  1.221733e+07\n",
       "7   wXjeI38bYDMJJwZC  6.311351e+06\n",
       "8   fxZSGX6aPAFKU8W4  1.678331e+06\n",
       "9   ewr0Fx6ign87OwaV  4.097211e+06\n",
       "10  gHKurnEP4AowzsLg  8.929432e+05\n",
       "11  PmLfTgY2FElLrTl0  5.296007e+06\n",
       "12  eM2NppIOwzW0o8iy  9.814476e+06\n",
       "13  dxxwNun97NH4WTrZ  3.030028e+06\n",
       "14  jykBfhh3vdeFUi3H  3.991446e+06\n",
       "15  NlXbvdFfmJZf3L18  2.172956e+07\n",
       "16  D7jaFWHCzSqLBwdt  9.874762e+05\n",
       "17  L10dBBdqGmemweSl  6.142550e+06\n",
       "18  OgB0AdiPKlElakKN  1.085265e+06\n",
       "19  StiWNN1GQrpPBOYt  2.607358e+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": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_test_pred.to_csv('output/'+model_name+'-test-one.csv', index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total run time: 19701.18760895729\n"
     ]
    }
   ],
   "source": [
    "print('Total run time:', t11 - t10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Feature importance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x2160 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "lgb.plot_importance(model, figsize=(12, 30), height=0.5) # 050, 051, 052\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x2160 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "lgb.plot_importance(model, figsize=(12, 30), height=0.5, importance_type='gain') # 050, 051, 052\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
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