model-25-predict-lgb-search-bins-lr-0.0005-250.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Change Log:\n",
    "- v19 - use parameters from model-19-build, lower learning rate = 0.0005\n",
    "- v20 - lower learning rate = 0.0008, add height_r and top_floor index\n",
    "- v16 - change parameters (some from model 05), rm reduce to 68\n",
    "- v14 - change random seed\n",
    "- v10 - remove features based on feature importance results (exp-l04-per-area)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Import packages"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import time\n",
    "import pickle\n",
    "import itertools\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import lightgbm as lgb\n",
    "import matplotlib.pyplot as plt\n",
    "from sklearn.model_selection import KFold\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.metrics import mean_squared_error\n",
    "from sklearn.metrics import mean_absolute_error\n",
    "from utilities import *"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "model_name = 'model-25-lgb-search-bins-lr-0.0005-250'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Params"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "is_log_target = True\n",
    "is_per_area_target = True\n",
    "\n",
    "map_target = {\n",
    "    (True, True):   'log_per_area_total_price',\n",
    "    (True, False):  'log_total_price',\n",
    "    (False, True):  'per_area_total_price',\n",
    "    (False, False): 'total_price'\n",
    "}\n",
    "col_target = map_target[(is_log_target, is_per_area_target)]\n",
    "\n",
    "#cols_feats_add = ['encoded_latlon', 'building_per_land_area'] # add feats into model\n",
    "cols_num_add = ['building_per_land_area', 'height_r', 'top_floor']\n",
    "cols_cat_add = ['encoded_latlon']\n",
    "\n",
    "#cols_feats_rm = [] # TODO: implement before using it\n",
    "#['day_in_year_txn_dt', 'day_in_year_building_complete_dt', 'dt_diff_building_complete_dt_txn_dt'] # dt num feats\n",
    "#['dow_txn_dt', 'dow_building_complete_dt', 'month_txn_dt', 'month_building_complete_dt',\n",
    "# 'quarter_txn_dt', 'quarter_building_complete_dt', 'year_txn_dt', 'year_building_complete_dt'] # dt cat feats"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Processing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "def pre_processing(df, cols_num, cols_cat): #, cols_feats\n",
    "    # Convert types\n",
    "    df[cols_num] = df[cols_num].astype('float32')\n",
    "    \n",
    "    # generate target\n",
    "    if 'total_price' in df:\n",
    "        df['total_price'] = df['total_price'].astype('float32')\n",
    "        df['log_total_price'] = np.log1p(df['total_price'])\n",
    "        df['per_area_total_price'] = df['total_price'] / df['building_area']\n",
    "        df['log_per_area_total_price'] = np.log1p(df['per_area_total_price'])\n",
    "        df['target'] = df[col_target]\n",
    "\n",
    "    # generate lat/lon encoded\n",
    "    kmeans = pickle.load(open('./object_kmeans_k6_combined.pkl', 'rb'))\n",
    "    df['encoded_latlon'] = kmeans.predict(df[['lat','lon']])\n",
    "    \n",
    "    # generate dt feats\n",
    "    df = create_dt_feats(df, 'txn_dt')\n",
    "    df = create_dt_feats(df, 'building_complete_dt')\n",
    "    df['dt_diff_building_complete_dt_txn_dt'] = df['txn_dt'] - df['building_complete_dt']\n",
    "    \n",
    "    # generate building to land ratio\n",
    "    df['building_per_land_area'] = df['building_area'] / df['land_area']\n",
    " \n",
    "    #cols_feats = cols_num + cols_cat + cols_feats_add\n",
    "    \n",
    "    # fix town and city\n",
    "    df['town'] = df['city'].astype('str')+'-'+df['town'].astype('str')\n",
    "    df['village'] = df['town'].astype('str')+'-'+df['village'].astype('str')\n",
    "    \n",
    "    # height ratio\n",
    "    df['height_r'] = df['txn_floor'] / df['total_floor']\n",
    "    df['top_floor'] = df['txn_floor'] == df['total_floor']\n",
    "    \n",
    "    return df  #, cols_feats"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "from feature_engineering import CategoricalColumnsEncoder\n",
    "from feature_engineering import TargetMeanEncoding\n",
    "from feature_engineering import MultiLabelEncoding\n",
    "\n",
    "class FeatureEngineering():\n",
    "    def __init__(self, cols_num, cols_cat, cols_feats, col_target, n_ran_encode=4):\n",
    "        # cols\n",
    "        self.cols_num = cols_num\n",
    "        self.cols_cat = cols_cat\n",
    "        self.cols_feats = cols_feats\n",
    "        self.col_target = col_target\n",
    "        \n",
    "        # Numbers\n",
    "        self.n_ran_encode = n_ran_encode\n",
    "        \n",
    "        # encoders\n",
    "        #self.tar_encoder = TargetMeanEncoding(col_target = self.col_target)\n",
    "        #self.ran_encoder = MultiLabelEncoding(self.n_ran_encode)\n",
    "        self.cat_astyper = CategoricalColumnsEncoder(mode='pandas')\n",
    "        \n",
    "    def fit_transform(self, df):\n",
    "        df = df.copy()    \n",
    "#        encoded1 = self.tar_encoder.fit_transform(df[self.cols_cat], df[self.col_target])\n",
    "#        encoded2 = self.ran_encoder.fit_transform(df[self.cols_cat])\n",
    "        self.cat_astyper.fit_transform(df, self.cols_cat)    \n",
    "        return df\n",
    "#        return pd.concat([df, encoded1, encoded2], axis=1)\n",
    "    \n",
    "    def transform(self, df):\n",
    "        df = df.copy()\n",
    "#        encoded1 = self.tar_encoder.transform(df[self.cols_cat])\n",
    "#        encoded2 = self.ran_encoder.transform(df[self.cols_cat])     # TODO: add generated feats into cols_feats\n",
    "        self.cat_astyper.transform(df)\n",
    "        return df\n",
    "#        return pd.concat([df, encoded1, encoded2], axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "def post_processing(y_pred, df):\n",
    "    \"\"\"Args: \n",
    "          y_pred (1d np.array): raw prediction y\n",
    "          df (pd.Dataframe): input feature df\n",
    "       Return: np.array\n",
    "    \"\"\"\n",
    "    y_pred_final = y_pred.copy()\n",
    "    \n",
    "    if is_log_target:\n",
    "        y_pred_final = np.expm1(y_pred_final)\n",
    "        y_pred_final = np.clip(y_pred_final, 0, None)\n",
    "\n",
    "    if is_per_area_target:\n",
    "        y_pred_final = y_pred_final * df['building_area'].values\n",
    "        \n",
    "    return y_pred_final"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "cols_num = ['txn_dt', 'total_floor', 'building_complete_dt', 'parking_area', 'parking_price', 'txn_floor',\n",
    "            'land_area', 'building_area', 'lat', 'lon', 'village_income_median', 'town_population', 'town_area',\n",
    "            'town_population_density', 'doc_rate', 'master_rate', 'bachelor_rate', 'jobschool_rate',\n",
    "            'highschool_rate', 'junior_rate', 'elementary_rate', 'born_rate', 'death_rate', 'marriage_rate',\n",
    "            'divorce_rate', 'N_50', 'N_500', 'N_1000', 'N_5000', 'N_10000', 'I_10', 'I_50', 'I_100', 'I_250',\n",
    "            'I_500', 'I_1000', 'I_5000', 'I_10000', 'I_MIN', 'II_10', 'II_50', 'II_100', 'II_250', 'II_500',\n",
    "            'II_1000', 'II_5000', 'II_10000', 'II_MIN', 'III_10', 'III_50', 'III_100', 'III_250', 'III_500',\n",
    "            'III_1000', 'III_5000', 'III_10000', 'III_MIN', 'IV_10', 'IV_50', 'IV_100', 'IV_250', 'IV_500',\n",
    "            'IV_1000', 'IV_5000', 'IV_10000', 'IV_MIN', 'V_10', 'V_50', 'V_100', 'V_250', 'V_500', 'V_1000',\n",
    "            'V_5000', 'V_10000', 'V_MIN', 'VI_50', 'VI_100', 'VI_250', 'VI_500', 'VI_1000', 'VI_5000', 'VI_10000',\n",
    "            'VI_MIN', 'VII_10', 'VII_50', 'VII_100', 'VII_250', 'VII_500', 'VII_1000', 'VII_5000', 'VII_10000',\n",
    "            'VII_MIN', 'VIII_10', 'VIII_50', 'VIII_100', 'VIII_250', 'VIII_500', 'VIII_1000', 'VIII_5000',\n",
    "            'VIII_10000', 'VIII_MIN', 'IX_10', 'IX_50', 'IX_100', 'IX_250', 'IX_500', 'IX_1000', 'IX_5000',\n",
    "            'IX_10000', 'IX_MIN', 'X_10', 'X_50', 'X_100', 'X_250', 'X_500', 'X_1000', 'X_5000', 'X_10000', 'X_MIN',\n",
    "            'XI_10', 'XI_50', 'XI_100', 'XI_250', 'XI_500', 'XI_1000', 'XI_5000', 'XI_10000', 'XI_MIN', 'XII_10',\n",
    "            'XII_50', 'XII_100', 'XII_250', 'XII_500', 'XII_1000', 'XII_5000', 'XII_10000', 'XII_MIN', 'XIII_10',\n",
    "            'XIII_50', 'XIII_100', 'XIII_250', 'XIII_500', 'XIII_1000', 'XIII_5000', 'XIII_10000', 'XIII_MIN',\n",
    "            'XIV_10', 'XIV_50', 'XIV_100', 'XIV_250', 'XIV_500', 'XIV_1000', 'XIV_5000', 'XIV_10000', 'XIV_MIN']\n",
    "cols_cat = ['building_material', 'city', 'building_type', 'building_use', 'parking_way', 'town', 'village',\n",
    "            'I_index_50', 'I_index_500', 'I_index_1000', 'II_index_50', 'II_index_500', 'II_index_1000',\n",
    "            'III_index_50', 'III_index_500', 'III_index_1000', 'IV_index_50', 'IV_index_500', 'IV_index_1000',\n",
    "            'IV_index_5000', 'V_index_50', 'V_index_500', 'V_index_1000', 'VI_10', 'VI_index_50', 'VI_index_500',\n",
    "            'VI_index_1000', 'VII_index_50', 'VII_index_500', 'VII_index_1000', 'VIII_index_50', 'VIII_index_500',\n",
    "            'VIII_index_1000', 'IX_index_50', 'IX_index_500', 'IX_index_1000', 'IX_index_5000', 'X_index_50',\n",
    "            'X_index_500', 'X_index_1000', 'XI_index_50', 'XI_index_500', 'XI_index_1000', 'XI_index_5000',\n",
    "            'XI_index_10000', 'XII_index_50', 'XII_index_500', 'XII_index_1000', 'XIII_index_50', 'XIII_index_500',\n",
    "            'XIII_index_1000', 'XIII_index_5000', 'XIII_index_10000', 'XIV_index_50', 'XIV_index_500',\n",
    "            'XIV_index_1000']\n",
    "cols_feats = cols_num + cols_cat\n",
    "\n",
    "# informational cols\n",
    "cols_dt = ['txn_dt', 'building_complete_dt']\n",
    "cols_bin = ['I_index_50', 'I_index_500', 'I_index_1000', 'II_index_50', 'II_index_500', 'II_index_1000',\n",
    "            'III_index_50', 'III_index_500', 'III_index_1000', 'IV_index_50', 'IV_index_500', 'IV_index_1000',\n",
    "            'IV_index_5000', 'V_index_50', 'V_index_500', 'V_index_1000', 'VI_10', 'VI_index_50', 'VI_index_500',\n",
    "            'VI_index_1000', 'VII_index_50', 'VII_index_500', 'VII_index_1000', 'VIII_index_50', 'VIII_index_500',\n",
    "            'VIII_index_1000', 'IX_index_50', 'IX_index_500', 'IX_index_1000', 'IX_index_5000', 'X_index_50',\n",
    "            'X_index_500', 'X_index_1000', 'XI_index_50', 'XI_index_500', 'XI_index_1000', 'XI_index_5000',\n",
    "            'XI_index_10000', 'XII_index_50', 'XII_index_500', 'XII_index_1000', 'XIII_index_50', 'XIII_index_500',\n",
    "            'XIII_index_1000', 'XIII_index_5000', 'XIII_index_10000', 'XIV_index_50', 'XIV_index_500',\n",
    "            'XIV_index_1000']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Read data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "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_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",
       "      <td>8</td>\n",
       "      <td>21</td>\n",
       "      <td>18674</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <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",
       "      <td>18800</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>7885</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>28</td>\n",
       "      <td>1</td>\n",
       "      <td>115</td>\n",
       "      <td>1</td>\n",
       "      <td>15872</td>\n",
       "      <td>1</td>\n",
       "      <td>32221</td>\n",
       "      <td>1</td>\n",
       "      <td>40.07357348973039</td>\n",
       "      <td>3321452.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>ucIR2NLLsC3T650L</td>\n",
       "      <td>8</td>\n",
       "      <td>7</td>\n",
       "      <td>19289</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>6028</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>78</td>\n",
       "      <td>1</td>\n",
       "      <td>212</td>\n",
       "      <td>1</td>\n",
       "      <td>15760</td>\n",
       "      <td>1</td>\n",
       "      <td>32228</td>\n",
       "      <td>1</td>\n",
       "      <td>54.46208108983661</td>\n",
       "      <td>9570885.316206373</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>jre1pJhcQj91Kdky</td>\n",
       "      <td>8</td>\n",
       "      <td>21</td>\n",
       "      <td>20385</td>\n",
       "      <td>24</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>18325</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>20</td>\n",
       "      <td>1</td>\n",
       "      <td>125</td>\n",
       "      <td>1</td>\n",
       "      <td>2568</td>\n",
       "      <td>1</td>\n",
       "      <td>7271</td>\n",
       "      <td>1</td>\n",
       "      <td>99.62896580763416</td>\n",
       "      <td>14215011.127100045</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>rQpYpY9nRG7X5mmr</td>\n",
       "      <td>1</td>\n",
       "      <td>21</td>\n",
       "      <td>20657</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>6880</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>18</td>\n",
       "      <td>1</td>\n",
       "      <td>47</td>\n",
       "      <td>1</td>\n",
       "      <td>2587</td>\n",
       "      <td>1</td>\n",
       "      <td>7442</td>\n",
       "      <td>1</td>\n",
       "      <td>124.1312362968124</td>\n",
       "      <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): 215\n",
      "N feats (after): 147\n",
      "['VIII_250', 'III_100', 'XIV_100', 'height_r', 'XIII_50', 'XIII_5000', 'XIV_5000', 'village_income_median', 'IV_250', 'X_1000', 'V_1000', 'junior_rate', 'I_MIN', 'X_MIN', 'N_50', 'I_5000', 'parking_price', 'VIII_100', 'IV_500', 'VIII_5000', 'XIV_MIN', 'IX_1000', 'jobschool_rate', 'II_MIN', 'XIII_250', 'city', 'XIII_500', 'XIII_MIN', 'VII_50', 'XII_MIN', 'III_10', 'txn_floor', 'III_50', 'VIII_50', 'II_5000', 'XIV_500', 'II_1000', 'highschool_rate', 'VI_10000', 'X_index_50', 'XII_5000', 'IX_100', 'V_10000', 'building_material', 'IX_250', 'VII_1000', 'XI_5000', 'town_area', 'IV_index_500', 'VIII_index_50', 'marriage_rate', 'doc_rate', 'XI_1000', 'I_1000', 'XIII_10000', 'N_1000', 'lat', 'III_250', 'VIII_10', 'XII_100', 'X_50', 'N_10000', 'XIII_1000', 'IX_10000', 'X_250', 'VII_10000', 'VIII_10000', 'top_floor', 'parking_way', 'XII_250', 'VII_100', 'VI_5000', 'XII_10', 'elementary_rate', 'V_250', 'XIV_250', 'town', 'txn_dt', 'encoded_latlon', 'VII_250', 'IV_MIN', 'building_use', 'II_100', 'VII_500', 'VII_MIN', 'XI_500', 'VIII_MIN', 'XI_MIN', 'XIV_10000', 'V_500', 'lon', 'IV_100', 'V_50', 'town_population_density', 'town_population', 'VIII_500', 'IV_10000', 'XIII_100', 'V_index_50', 'II_10000', 'VI_MIN', 'IX_10', 'III_5000', 'building_complete_dt', 'IV_1000', 'XII_1000', 'total_floor', 'bachelor_rate', 'IX_500', 'XI_10000', 'village', 'VII_5000', 'XI_250', 'III_1000', 'building_per_land_area', 'XIII_index_10000', 'IV_index_1000', 'XIV_50', 'VIII_1000', 'born_rate', 'building_area', 'I_10000', 'III_MIN', 'II_250', 'XII_50', 'X_5000', 'III_10000', 'V_MIN', 'land_area', 'master_rate', 'IX_MIN', 'XII_500', 'V_5000', 'IV_5000', 'III_500', 'XII_10000', 'XIV_1000', 'IV_10', 'IX_5000', 'death_rate', 'II_500', 'XI_50', 'parking_area', 'X_10000', 'building_type', 'III_index_500', 'X_500']\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': 26,\n",
    "          'num_leaves': 250,  # 300        # may reduce in dim-reduction exp\n",
    "          'feature_fraction': 0.45,\n",
    "          'min_data_in_leaf': 5,\n",
    "          'lambda_l1': 0.05,\n",
    "          'lambda_l2': 0.001,\n",
    "          'max_bin': 383,\n",
    "          'min_sum_hessian_in_leaf': 0.0001,\n",
    "          'seed': 555,\n",
    "         }\n",
    "\n",
    "lgb_other_params = {'num_boost_round': 1000000,  # expected to stop 250000\n",
    "                    'verbose_eval': 2000,\n",
    "                    'early_stopping_rounds': 1000,}\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### kfold cross-predict"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Training until validation scores don't improve for 1000 rounds.\n",
      "[2000]\tvalid_0's mape: 0.0265637\n",
      "[4000]\tvalid_0's mape: 0.015858\n",
      "[6000]\tvalid_0's mape: 0.0126494\n",
      "[8000]\tvalid_0's mape: 0.0114994\n",
      "[10000]\tvalid_0's mape: 0.0109351\n",
      "[12000]\tvalid_0's mape: 0.010589\n",
      "[14000]\tvalid_0's mape: 0.0103503\n",
      "[16000]\tvalid_0's mape: 0.0101749\n",
      "[18000]\tvalid_0's mape: 0.0100397\n",
      "[20000]\tvalid_0's mape: 0.00992904\n",
      "[22000]\tvalid_0's mape: 0.00983702\n",
      "[24000]\tvalid_0's mape: 0.00975966\n",
      "[26000]\tvalid_0's mape: 0.00969418\n",
      "[28000]\tvalid_0's mape: 0.00963908\n",
      "[30000]\tvalid_0's mape: 0.00959184\n",
      "[32000]\tvalid_0's mape: 0.00955023\n",
      "[34000]\tvalid_0's mape: 0.00951474\n",
      "[36000]\tvalid_0's mape: 0.00948257\n",
      "[38000]\tvalid_0's mape: 0.00945341\n",
      "[40000]\tvalid_0's mape: 0.00942716\n",
      "[42000]\tvalid_0's mape: 0.00940343\n",
      "[44000]\tvalid_0's mape: 0.00938162\n",
      "[46000]\tvalid_0's mape: 0.00936098\n",
      "[48000]\tvalid_0's mape: 0.00934249\n",
      "[50000]\tvalid_0's mape: 0.00932509\n",
      "[52000]\tvalid_0's mape: 0.00930876\n",
      "[54000]\tvalid_0's mape: 0.00929317\n",
      "[56000]\tvalid_0's mape: 0.00927904\n",
      "[58000]\tvalid_0's mape: 0.00926582\n",
      "[60000]\tvalid_0's mape: 0.00925418\n",
      "[62000]\tvalid_0's mape: 0.00924322\n",
      "[64000]\tvalid_0's mape: 0.0092328\n",
      "[66000]\tvalid_0's mape: 0.00922291\n",
      "[68000]\tvalid_0's mape: 0.00921378\n",
      "[70000]\tvalid_0's mape: 0.00920507\n",
      "[72000]\tvalid_0's mape: 0.00919689\n",
      "[74000]\tvalid_0's mape: 0.00918923\n",
      "[76000]\tvalid_0's mape: 0.00918212\n",
      "[78000]\tvalid_0's mape: 0.00917583\n",
      "[80000]\tvalid_0's mape: 0.00916963\n",
      "[82000]\tvalid_0's mape: 0.00916385\n",
      "[84000]\tvalid_0's mape: 0.00915838\n",
      "[86000]\tvalid_0's mape: 0.00915302\n",
      "[88000]\tvalid_0's mape: 0.00914805\n",
      "[90000]\tvalid_0's mape: 0.00914321\n",
      "[92000]\tvalid_0's mape: 0.00913878\n",
      "[94000]\tvalid_0's mape: 0.00913458\n",
      "[96000]\tvalid_0's mape: 0.00913058\n",
      "[98000]\tvalid_0's mape: 0.00912669\n",
      "[100000]\tvalid_0's mape: 0.00912309\n",
      "[102000]\tvalid_0's mape: 0.00911954\n",
      "[104000]\tvalid_0's mape: 0.00911621\n",
      "[106000]\tvalid_0's mape: 0.00911312\n",
      "[108000]\tvalid_0's mape: 0.00910991\n",
      "[110000]\tvalid_0's mape: 0.00910678\n",
      "[112000]\tvalid_0's mape: 0.00910386\n",
      "[114000]\tvalid_0's mape: 0.00910088\n",
      "[116000]\tvalid_0's mape: 0.00909809\n",
      "[118000]\tvalid_0's mape: 0.00909542\n",
      "[120000]\tvalid_0's mape: 0.00909291\n",
      "[122000]\tvalid_0's mape: 0.00909045\n",
      "[124000]\tvalid_0's mape: 0.00908781\n",
      "[126000]\tvalid_0's mape: 0.00908516\n",
      "[128000]\tvalid_0's mape: 0.0090823\n",
      "[130000]\tvalid_0's mape: 0.00907987\n",
      "[132000]\tvalid_0's mape: 0.00907757\n",
      "[134000]\tvalid_0's mape: 0.00907538\n",
      "[136000]\tvalid_0's mape: 0.00907335\n",
      "[138000]\tvalid_0's mape: 0.00907137\n",
      "[140000]\tvalid_0's mape: 0.0090694\n",
      "[142000]\tvalid_0's mape: 0.00906758\n",
      "[144000]\tvalid_0's mape: 0.00906587\n",
      "[146000]\tvalid_0's mape: 0.00906428\n",
      "[148000]\tvalid_0's mape: 0.00906274\n",
      "[150000]\tvalid_0's mape: 0.00906132\n",
      "[152000]\tvalid_0's mape: 0.00905981\n",
      "[154000]\tvalid_0's mape: 0.00905837\n",
      "[156000]\tvalid_0's mape: 0.00905688\n",
      "[158000]\tvalid_0's mape: 0.00905546\n",
      "[160000]\tvalid_0's mape: 0.00905411\n",
      "[162000]\tvalid_0's mape: 0.00905308\n",
      "[164000]\tvalid_0's mape: 0.00905188\n",
      "[166000]\tvalid_0's mape: 0.00905072\n",
      "[168000]\tvalid_0's mape: 0.00904959\n",
      "[170000]\tvalid_0's mape: 0.00904842\n",
      "[172000]\tvalid_0's mape: 0.00904729\n",
      "[174000]\tvalid_0's mape: 0.00904616\n",
      "[176000]\tvalid_0's mape: 0.00904507\n",
      "[178000]\tvalid_0's mape: 0.009044\n",
      "[180000]\tvalid_0's mape: 0.00904306\n",
      "[182000]\tvalid_0's mape: 0.00904216\n",
      "[184000]\tvalid_0's mape: 0.00904136\n",
      "[186000]\tvalid_0's mape: 0.00904054\n",
      "[188000]\tvalid_0's mape: 0.00903975\n",
      "[190000]\tvalid_0's mape: 0.00903901\n",
      "[192000]\tvalid_0's mape: 0.00903833\n",
      "[194000]\tvalid_0's mape: 0.00903763\n",
      "[196000]\tvalid_0's mape: 0.00903696\n",
      "[198000]\tvalid_0's mape: 0.00903622\n",
      "[200000]\tvalid_0's mape: 0.00903555\n",
      "[202000]\tvalid_0's mape: 0.00903492\n",
      "[204000]\tvalid_0's mape: 0.00903432\n",
      "[206000]\tvalid_0's mape: 0.00903379\n",
      "[208000]\tvalid_0's mape: 0.00903325\n",
      "[210000]\tvalid_0's mape: 0.00903269\n",
      "[212000]\tvalid_0's mape: 0.00903212\n",
      "[214000]\tvalid_0's mape: 0.00903151\n",
      "[216000]\tvalid_0's mape: 0.00903096\n",
      "[218000]\tvalid_0's mape: 0.00903034\n",
      "[220000]\tvalid_0's mape: 0.00902986\n",
      "[222000]\tvalid_0's mape: 0.00902936\n",
      "[224000]\tvalid_0's mape: 0.00902886\n",
      "[226000]\tvalid_0's mape: 0.00902836\n",
      "[228000]\tvalid_0's mape: 0.0090279\n",
      "[230000]\tvalid_0's mape: 0.00902746\n",
      "[232000]\tvalid_0's mape: 0.00902703\n",
      "[234000]\tvalid_0's mape: 0.00902659\n",
      "[236000]\tvalid_0's mape: 0.00902618\n",
      "[238000]\tvalid_0's mape: 0.00902578\n",
      "[240000]\tvalid_0's mape: 0.00902541\n",
      "[242000]\tvalid_0's mape: 0.00902503\n",
      "[244000]\tvalid_0's mape: 0.00902458\n",
      "[246000]\tvalid_0's mape: 0.00902418\n",
      "[248000]\tvalid_0's mape: 0.00902379\n",
      "[250000]\tvalid_0's mape: 0.0090234\n",
      "[252000]\tvalid_0's mape: 0.00902304\n",
      "[254000]\tvalid_0's mape: 0.00902269\n",
      "[256000]\tvalid_0's mape: 0.00902232\n",
      "[258000]\tvalid_0's mape: 0.00902202\n",
      "[260000]\tvalid_0's mape: 0.0090217\n",
      "[262000]\tvalid_0's mape: 0.00902146\n",
      "[264000]\tvalid_0's mape: 0.00902123\n",
      "[266000]\tvalid_0's mape: 0.009021\n",
      "[268000]\tvalid_0's mape: 0.00902078\n",
      "[270000]\tvalid_0's mape: 0.00902044\n",
      "[272000]\tvalid_0's mape: 0.00902016\n",
      "[274000]\tvalid_0's mape: 0.00901987\n",
      "[276000]\tvalid_0's mape: 0.00901959\n",
      "[278000]\tvalid_0's mape: 0.00901928\n",
      "[280000]\tvalid_0's mape: 0.009019\n",
      "[282000]\tvalid_0's mape: 0.00901874\n",
      "[284000]\tvalid_0's mape: 0.0090185\n",
      "[286000]\tvalid_0's mape: 0.00901825\n",
      "[288000]\tvalid_0's mape: 0.00901801\n",
      "[290000]\tvalid_0's mape: 0.00901777\n",
      "[292000]\tvalid_0's mape: 0.00901754\n",
      "[294000]\tvalid_0's mape: 0.00901729\n",
      "[296000]\tvalid_0's mape: 0.00901704\n",
      "[298000]\tvalid_0's mape: 0.00901681\n",
      "[300000]\tvalid_0's mape: 0.00901659\n",
      "[302000]\tvalid_0's mape: 0.00901636\n",
      "[304000]\tvalid_0's mape: 0.00901611\n",
      "[306000]\tvalid_0's mape: 0.00901587\n",
      "[308000]\tvalid_0's mape: 0.00901564\n",
      "[310000]\tvalid_0's mape: 0.00901544\n",
      "[312000]\tvalid_0's mape: 0.00901524\n",
      "[314000]\tvalid_0's mape: 0.00901505\n",
      "[316000]\tvalid_0's mape: 0.00901484\n",
      "[318000]\tvalid_0's mape: 0.00901463\n",
      "[320000]\tvalid_0's mape: 0.00901445\n",
      "[322000]\tvalid_0's mape: 0.00901428\n",
      "[324000]\tvalid_0's mape: 0.00901409\n",
      "[326000]\tvalid_0's mape: 0.00901391\n",
      "[328000]\tvalid_0's mape: 0.00901373\n",
      "[330000]\tvalid_0's mape: 0.00901356\n",
      "[332000]\tvalid_0's mape: 0.00901339\n",
      "[334000]\tvalid_0's mape: 0.00901324\n",
      "[336000]\tvalid_0's mape: 0.00901306\n",
      "[338000]\tvalid_0's mape: 0.00901291\n",
      "[340000]\tvalid_0's mape: 0.00901275\n",
      "[342000]\tvalid_0's mape: 0.0090126\n",
      "[344000]\tvalid_0's mape: 0.00901246\n",
      "[346000]\tvalid_0's mape: 0.00901232\n",
      "[348000]\tvalid_0's mape: 0.00901217\n",
      "[350000]\tvalid_0's mape: 0.00901203\n",
      "[352000]\tvalid_0's mape: 0.00901191\n",
      "[354000]\tvalid_0's mape: 0.00901179\n",
      "[356000]\tvalid_0's mape: 0.00901166\n",
      "[358000]\tvalid_0's mape: 0.00901154\n",
      "[360000]\tvalid_0's mape: 0.00901143\n",
      "[362000]\tvalid_0's mape: 0.00901132\n",
      "[364000]\tvalid_0's mape: 0.0090112\n",
      "[366000]\tvalid_0's mape: 0.00901108\n",
      "[368000]\tvalid_0's mape: 0.00901097\n",
      "[370000]\tvalid_0's mape: 0.00901086\n",
      "[372000]\tvalid_0's mape: 0.00901077\n",
      "[374000]\tvalid_0's mape: 0.00901066\n",
      "[376000]\tvalid_0's mape: 0.00901056\n",
      "[378000]\tvalid_0's mape: 0.00901045\n",
      "[380000]\tvalid_0's mape: 0.00901036\n",
      "[382000]\tvalid_0's mape: 0.00901026\n",
      "[384000]\tvalid_0's mape: 0.00901016\n",
      "[386000]\tvalid_0's mape: 0.00901006\n",
      "[388000]\tvalid_0's mape: 0.00900996\n",
      "[390000]\tvalid_0's mape: 0.00900988\n",
      "[392000]\tvalid_0's mape: 0.00900978\n",
      "[394000]\tvalid_0's mape: 0.00900968\n",
      "[396000]\tvalid_0's mape: 0.00900959\n",
      "[398000]\tvalid_0's mape: 0.0090095\n",
      "[400000]\tvalid_0's mape: 0.00900942\n",
      "[402000]\tvalid_0's mape: 0.00900933\n",
      "[404000]\tvalid_0's mape: 0.00900926\n",
      "[406000]\tvalid_0's mape: 0.00900918\n",
      "[408000]\tvalid_0's mape: 0.0090091\n",
      "[410000]\tvalid_0's mape: 0.00900901\n",
      "[412000]\tvalid_0's mape: 0.00900894\n",
      "[414000]\tvalid_0's mape: 0.00900887\n",
      "[416000]\tvalid_0's mape: 0.00900879\n",
      "[418000]\tvalid_0's mape: 0.00900872\n",
      "[420000]\tvalid_0's mape: 0.00900865\n",
      "[422000]\tvalid_0's mape: 0.00900857\n",
      "[424000]\tvalid_0's mape: 0.0090085\n",
      "[426000]\tvalid_0's mape: 0.00900842\n",
      "[428000]\tvalid_0's mape: 0.00900836\n",
      "[430000]\tvalid_0's mape: 0.00900829\n",
      "[432000]\tvalid_0's mape: 0.00900822\n",
      "[434000]\tvalid_0's mape: 0.00900816\n",
      "[436000]\tvalid_0's mape: 0.00900809\n",
      "[438000]\tvalid_0's mape: 0.00900803\n",
      "[440000]\tvalid_0's mape: 0.00900799\n",
      "[442000]\tvalid_0's mape: 0.00900793\n",
      "[444000]\tvalid_0's mape: 0.0090079\n",
      "[446000]\tvalid_0's mape: 0.00900787\n",
      "Early stopping, best iteration is:\n",
      "[445869]\tvalid_0's mape: 0.00900787\n",
      "(Fold 0) score, mse, mae, mape: 5849.87678, 0.03517, 0.11981, 0.00901.\n",
      "Training until validation scores don't improve for 1000 rounds.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2000]\tvalid_0's mape: 0.026704\n",
      "[4000]\tvalid_0's mape: 0.016029\n",
      "[6000]\tvalid_0's mape: 0.0128059\n",
      "[8000]\tvalid_0's mape: 0.0116464\n",
      "[10000]\tvalid_0's mape: 0.0110796\n",
      "[12000]\tvalid_0's mape: 0.0107343\n",
      "[14000]\tvalid_0's mape: 0.0104982\n",
      "[16000]\tvalid_0's mape: 0.0103271\n",
      "[18000]\tvalid_0's mape: 0.0101937\n",
      "[20000]\tvalid_0's mape: 0.0100826\n",
      "[22000]\tvalid_0's mape: 0.00998954\n",
      "[24000]\tvalid_0's mape: 0.00991076\n",
      "[26000]\tvalid_0's mape: 0.00984303\n",
      "[28000]\tvalid_0's mape: 0.00978571\n",
      "[30000]\tvalid_0's mape: 0.00973754\n",
      "[32000]\tvalid_0's mape: 0.00969577\n",
      "[34000]\tvalid_0's mape: 0.00965817\n",
      "[36000]\tvalid_0's mape: 0.00962539\n",
      "[38000]\tvalid_0's mape: 0.00959544\n",
      "[40000]\tvalid_0's mape: 0.00956798\n",
      "[42000]\tvalid_0's mape: 0.00954352\n",
      "[44000]\tvalid_0's mape: 0.00952081\n",
      "[46000]\tvalid_0's mape: 0.00949947\n",
      "[48000]\tvalid_0's mape: 0.0094796\n",
      "[50000]\tvalid_0's mape: 0.00946134\n",
      "[52000]\tvalid_0's mape: 0.00944448\n",
      "[54000]\tvalid_0's mape: 0.00942869\n",
      "[56000]\tvalid_0's mape: 0.00941387\n",
      "[58000]\tvalid_0's mape: 0.00939971\n",
      "[60000]\tvalid_0's mape: 0.00938676\n",
      "[62000]\tvalid_0's mape: 0.00937486\n",
      "[64000]\tvalid_0's mape: 0.00936383\n",
      "[66000]\tvalid_0's mape: 0.00935359\n",
      "[68000]\tvalid_0's mape: 0.00934328\n",
      "[70000]\tvalid_0's mape: 0.00933362\n",
      "[72000]\tvalid_0's mape: 0.00932477\n",
      "[74000]\tvalid_0's mape: 0.00931625\n",
      "[76000]\tvalid_0's mape: 0.00930834\n",
      "[78000]\tvalid_0's mape: 0.0093008\n",
      "[80000]\tvalid_0's mape: 0.00929399\n",
      "[82000]\tvalid_0's mape: 0.00928724\n",
      "[84000]\tvalid_0's mape: 0.00928074\n",
      "[86000]\tvalid_0's mape: 0.00927476\n",
      "[88000]\tvalid_0's mape: 0.00926914\n",
      "[90000]\tvalid_0's mape: 0.0092636\n",
      "[92000]\tvalid_0's mape: 0.00925853\n",
      "[94000]\tvalid_0's mape: 0.00925344\n",
      "[96000]\tvalid_0's mape: 0.00924851\n",
      "[98000]\tvalid_0's mape: 0.00924411\n",
      "[100000]\tvalid_0's mape: 0.00923976\n",
      "[102000]\tvalid_0's mape: 0.0092356\n",
      "[104000]\tvalid_0's mape: 0.00923182\n",
      "[106000]\tvalid_0's mape: 0.00922789\n",
      "[108000]\tvalid_0's mape: 0.0092243\n",
      "[110000]\tvalid_0's mape: 0.00922066\n",
      "[112000]\tvalid_0's mape: 0.00921733\n",
      "[114000]\tvalid_0's mape: 0.00921414\n",
      "[116000]\tvalid_0's mape: 0.00921092\n",
      "[118000]\tvalid_0's mape: 0.00920789\n",
      "[120000]\tvalid_0's mape: 0.00920473\n",
      "[122000]\tvalid_0's mape: 0.00920191\n",
      "[124000]\tvalid_0's mape: 0.00919917\n",
      "[126000]\tvalid_0's mape: 0.00919669\n",
      "[128000]\tvalid_0's mape: 0.00919417\n",
      "[130000]\tvalid_0's mape: 0.00919192\n",
      "[132000]\tvalid_0's mape: 0.00918981\n",
      "[134000]\tvalid_0's mape: 0.00918751\n",
      "[136000]\tvalid_0's mape: 0.00918563\n",
      "[138000]\tvalid_0's mape: 0.0091838\n",
      "[140000]\tvalid_0's mape: 0.00918186\n",
      "[142000]\tvalid_0's mape: 0.00918001\n",
      "[144000]\tvalid_0's mape: 0.00917834\n",
      "[146000]\tvalid_0's mape: 0.00917666\n",
      "[148000]\tvalid_0's mape: 0.00917502\n",
      "[150000]\tvalid_0's mape: 0.00917336\n",
      "[152000]\tvalid_0's mape: 0.00917169\n",
      "[154000]\tvalid_0's mape: 0.00917005\n",
      "[156000]\tvalid_0's mape: 0.00916858\n",
      "[158000]\tvalid_0's mape: 0.00916716\n",
      "[160000]\tvalid_0's mape: 0.00916584\n",
      "[162000]\tvalid_0's mape: 0.00916451\n",
      "[164000]\tvalid_0's mape: 0.00916322\n",
      "[166000]\tvalid_0's mape: 0.00916199\n",
      "[168000]\tvalid_0's mape: 0.00916064\n",
      "[170000]\tvalid_0's mape: 0.00915935\n",
      "[172000]\tvalid_0's mape: 0.00915816\n",
      "[174000]\tvalid_0's mape: 0.00915706\n",
      "[176000]\tvalid_0's mape: 0.009156\n",
      "[178000]\tvalid_0's mape: 0.00915504\n",
      "[180000]\tvalid_0's mape: 0.00915409\n",
      "[182000]\tvalid_0's mape: 0.00915315\n",
      "[184000]\tvalid_0's mape: 0.00915227\n",
      "[186000]\tvalid_0's mape: 0.00915145\n",
      "[188000]\tvalid_0's mape: 0.00915069\n",
      "[190000]\tvalid_0's mape: 0.00914998\n",
      "[192000]\tvalid_0's mape: 0.00914914\n",
      "[194000]\tvalid_0's mape: 0.0091484\n",
      "[196000]\tvalid_0's mape: 0.00914756\n",
      "[198000]\tvalid_0's mape: 0.00914654\n",
      "[200000]\tvalid_0's mape: 0.00914553\n",
      "[202000]\tvalid_0's mape: 0.00914454\n",
      "[204000]\tvalid_0's mape: 0.00914364\n",
      "[206000]\tvalid_0's mape: 0.00914286\n",
      "[208000]\tvalid_0's mape: 0.00914204\n",
      "[210000]\tvalid_0's mape: 0.00914128\n",
      "[212000]\tvalid_0's mape: 0.00914055\n",
      "[214000]\tvalid_0's mape: 0.00913981\n",
      "[216000]\tvalid_0's mape: 0.00913906\n",
      "[218000]\tvalid_0's mape: 0.00913831\n",
      "[220000]\tvalid_0's mape: 0.00913757\n",
      "[222000]\tvalid_0's mape: 0.00913689\n",
      "[224000]\tvalid_0's mape: 0.0091362\n",
      "[226000]\tvalid_0's mape: 0.00913557\n",
      "[228000]\tvalid_0's mape: 0.00913497\n",
      "[230000]\tvalid_0's mape: 0.00913439\n",
      "[232000]\tvalid_0's mape: 0.00913381\n",
      "[234000]\tvalid_0's mape: 0.00913333\n",
      "[236000]\tvalid_0's mape: 0.00913292\n",
      "[238000]\tvalid_0's mape: 0.0091325\n",
      "[240000]\tvalid_0's mape: 0.00913209\n",
      "[242000]\tvalid_0's mape: 0.00913163\n",
      "[244000]\tvalid_0's mape: 0.00913121\n",
      "[246000]\tvalid_0's mape: 0.0091308\n",
      "[248000]\tvalid_0's mape: 0.00913038\n",
      "[250000]\tvalid_0's mape: 0.00912996\n",
      "[252000]\tvalid_0's mape: 0.00912958\n",
      "[254000]\tvalid_0's mape: 0.00912925\n",
      "[256000]\tvalid_0's mape: 0.00912889\n",
      "[258000]\tvalid_0's mape: 0.00912854\n",
      "[260000]\tvalid_0's mape: 0.00912819\n",
      "[262000]\tvalid_0's mape: 0.00912786\n",
      "[264000]\tvalid_0's mape: 0.00912751\n",
      "[266000]\tvalid_0's mape: 0.00912714\n",
      "[268000]\tvalid_0's mape: 0.00912681\n",
      "[270000]\tvalid_0's mape: 0.00912651\n",
      "[272000]\tvalid_0's mape: 0.00912622\n",
      "[274000]\tvalid_0's mape: 0.0091259\n",
      "[276000]\tvalid_0's mape: 0.00912557\n",
      "[278000]\tvalid_0's mape: 0.00912526\n",
      "[280000]\tvalid_0's mape: 0.00912497\n",
      "[282000]\tvalid_0's mape: 0.00912473\n",
      "[284000]\tvalid_0's mape: 0.00912449\n",
      "[286000]\tvalid_0's mape: 0.00912424\n",
      "[288000]\tvalid_0's mape: 0.00912405\n",
      "[290000]\tvalid_0's mape: 0.00912385\n",
      "[292000]\tvalid_0's mape: 0.00912364\n",
      "[294000]\tvalid_0's mape: 0.00912339\n",
      "[296000]\tvalid_0's mape: 0.00912314\n",
      "[298000]\tvalid_0's mape: 0.00912294\n",
      "[300000]\tvalid_0's mape: 0.0091227\n",
      "[302000]\tvalid_0's mape: 0.00912245\n",
      "[304000]\tvalid_0's mape: 0.00912223\n",
      "[306000]\tvalid_0's mape: 0.00912196\n",
      "[308000]\tvalid_0's mape: 0.00912173\n",
      "[310000]\tvalid_0's mape: 0.00912149\n",
      "[312000]\tvalid_0's mape: 0.00912125\n",
      "[314000]\tvalid_0's mape: 0.00912105\n",
      "[316000]\tvalid_0's mape: 0.00912086\n",
      "[318000]\tvalid_0's mape: 0.00912066\n",
      "[320000]\tvalid_0's mape: 0.00912047\n",
      "[322000]\tvalid_0's mape: 0.00912026\n",
      "[324000]\tvalid_0's mape: 0.00912005\n",
      "[326000]\tvalid_0's mape: 0.00911985\n",
      "[328000]\tvalid_0's mape: 0.00911967\n",
      "[330000]\tvalid_0's mape: 0.0091195\n",
      "[332000]\tvalid_0's mape: 0.00911933\n",
      "[334000]\tvalid_0's mape: 0.00911917\n",
      "[336000]\tvalid_0's mape: 0.00911898\n",
      "[338000]\tvalid_0's mape: 0.00911882\n",
      "[340000]\tvalid_0's mape: 0.00911864\n",
      "[342000]\tvalid_0's mape: 0.00911848\n",
      "[344000]\tvalid_0's mape: 0.00911832\n",
      "[346000]\tvalid_0's mape: 0.00911817\n",
      "[348000]\tvalid_0's mape: 0.00911802\n",
      "[350000]\tvalid_0's mape: 0.00911788\n",
      "[352000]\tvalid_0's mape: 0.00911777\n",
      "[354000]\tvalid_0's mape: 0.00911762\n",
      "[356000]\tvalid_0's mape: 0.00911749\n",
      "[358000]\tvalid_0's mape: 0.00911736\n",
      "[360000]\tvalid_0's mape: 0.00911724\n",
      "[362000]\tvalid_0's mape: 0.00911711\n",
      "[364000]\tvalid_0's mape: 0.00911698\n",
      "[366000]\tvalid_0's mape: 0.00911688\n",
      "[368000]\tvalid_0's mape: 0.0091168\n",
      "[370000]\tvalid_0's mape: 0.00911667\n",
      "[372000]\tvalid_0's mape: 0.00911657\n",
      "[374000]\tvalid_0's mape: 0.00911646\n",
      "[376000]\tvalid_0's mape: 0.00911636\n",
      "[378000]\tvalid_0's mape: 0.00911627\n",
      "[380000]\tvalid_0's mape: 0.00911616\n",
      "[382000]\tvalid_0's mape: 0.00911606\n",
      "[384000]\tvalid_0's mape: 0.00911593\n",
      "[386000]\tvalid_0's mape: 0.00911582\n",
      "[388000]\tvalid_0's mape: 0.00911572\n",
      "[390000]\tvalid_0's mape: 0.00911563\n",
      "[392000]\tvalid_0's mape: 0.00911555\n",
      "[394000]\tvalid_0's mape: 0.00911546\n",
      "[396000]\tvalid_0's mape: 0.00911536\n",
      "[398000]\tvalid_0's mape: 0.00911527\n",
      "[400000]\tvalid_0's mape: 0.00911518\n",
      "[402000]\tvalid_0's mape: 0.00911509\n",
      "[404000]\tvalid_0's mape: 0.009115\n",
      "[406000]\tvalid_0's mape: 0.0091149\n",
      "[408000]\tvalid_0's mape: 0.00911483\n",
      "[410000]\tvalid_0's mape: 0.00911475\n",
      "[412000]\tvalid_0's mape: 0.00911468\n",
      "[414000]\tvalid_0's mape: 0.00911461\n",
      "[416000]\tvalid_0's mape: 0.00911453\n",
      "[418000]\tvalid_0's mape: 0.00911446\n",
      "[420000]\tvalid_0's mape: 0.0091144\n",
      "[422000]\tvalid_0's mape: 0.00911433\n",
      "[424000]\tvalid_0's mape: 0.00911427\n",
      "[426000]\tvalid_0's mape: 0.00911422\n",
      "[428000]\tvalid_0's mape: 0.00911414\n",
      "[430000]\tvalid_0's mape: 0.00911407\n",
      "[432000]\tvalid_0's mape: 0.00911402\n",
      "[434000]\tvalid_0's mape: 0.00911394\n",
      "[436000]\tvalid_0's mape: 0.00911387\n",
      "[438000]\tvalid_0's mape: 0.0091138\n",
      "[440000]\tvalid_0's mape: 0.00911373\n",
      "[442000]\tvalid_0's mape: 0.00911367\n",
      "[444000]\tvalid_0's mape: 0.00911361\n",
      "[446000]\tvalid_0's mape: 0.00911355\n",
      "[448000]\tvalid_0's mape: 0.0091135\n",
      "[450000]\tvalid_0's mape: 0.00911346\n",
      "[452000]\tvalid_0's mape: 0.00911341\n",
      "[454000]\tvalid_0's mape: 0.00911337\n",
      "[456000]\tvalid_0's mape: 0.00911333\n",
      "[458000]\tvalid_0's mape: 0.00911329\n",
      "[460000]\tvalid_0's mape: 0.00911325\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[462000]\tvalid_0's mape: 0.0091132\n",
      "Early stopping, best iteration is:\n",
      "[462090]\tvalid_0's mape: 0.0091132\n",
      "(Fold 1) score, mse, mae, mape: 5964.87450, 0.03842, 0.12138, 0.00911.\n",
      "Training until validation scores don't improve for 1000 rounds.\n",
      "[2000]\tvalid_0's mape: 0.0263948\n",
      "[4000]\tvalid_0's mape: 0.0157638\n",
      "[6000]\tvalid_0's mape: 0.012611\n",
      "[8000]\tvalid_0's mape: 0.0114978\n",
      "[10000]\tvalid_0's mape: 0.0109563\n",
      "[12000]\tvalid_0's mape: 0.0106313\n",
      "[14000]\tvalid_0's mape: 0.0104107\n",
      "[16000]\tvalid_0's mape: 0.010247\n",
      "[18000]\tvalid_0's mape: 0.0101214\n",
      "[20000]\tvalid_0's mape: 0.0100184\n",
      "[22000]\tvalid_0's mape: 0.0099294\n",
      "[24000]\tvalid_0's mape: 0.00985594\n",
      "[26000]\tvalid_0's mape: 0.00979372\n",
      "[28000]\tvalid_0's mape: 0.00973994\n",
      "[30000]\tvalid_0's mape: 0.00969459\n",
      "[32000]\tvalid_0's mape: 0.00965578\n",
      "[34000]\tvalid_0's mape: 0.00962158\n",
      "[36000]\tvalid_0's mape: 0.00959061\n",
      "[38000]\tvalid_0's mape: 0.0095622\n",
      "[40000]\tvalid_0's mape: 0.00953665\n",
      "[42000]\tvalid_0's mape: 0.00951365\n",
      "[44000]\tvalid_0's mape: 0.00949195\n",
      "[46000]\tvalid_0's mape: 0.0094727\n",
      "[48000]\tvalid_0's mape: 0.00945472\n",
      "[50000]\tvalid_0's mape: 0.00943825\n",
      "[52000]\tvalid_0's mape: 0.0094228\n",
      "[54000]\tvalid_0's mape: 0.00940826\n",
      "[56000]\tvalid_0's mape: 0.00939451\n",
      "[58000]\tvalid_0's mape: 0.00938178\n",
      "[60000]\tvalid_0's mape: 0.00936982\n",
      "[62000]\tvalid_0's mape: 0.00935823\n",
      "[64000]\tvalid_0's mape: 0.00934745\n",
      "[66000]\tvalid_0's mape: 0.00933703\n",
      "[68000]\tvalid_0's mape: 0.00932723\n",
      "[70000]\tvalid_0's mape: 0.00931778\n",
      "[72000]\tvalid_0's mape: 0.00930917\n",
      "[74000]\tvalid_0's mape: 0.00930088\n",
      "[76000]\tvalid_0's mape: 0.00929316\n",
      "[78000]\tvalid_0's mape: 0.0092857\n",
      "[80000]\tvalid_0's mape: 0.00927863\n",
      "[82000]\tvalid_0's mape: 0.00927182\n",
      "[84000]\tvalid_0's mape: 0.00926568\n",
      "[86000]\tvalid_0's mape: 0.00926003\n",
      "[88000]\tvalid_0's mape: 0.00925468\n",
      "[90000]\tvalid_0's mape: 0.00924952\n",
      "[92000]\tvalid_0's mape: 0.0092447\n",
      "[94000]\tvalid_0's mape: 0.00924011\n",
      "[96000]\tvalid_0's mape: 0.00923572\n",
      "[98000]\tvalid_0's mape: 0.0092316\n",
      "[100000]\tvalid_0's mape: 0.0092276\n",
      "[102000]\tvalid_0's mape: 0.0092238\n",
      "[104000]\tvalid_0's mape: 0.00921983\n",
      "[106000]\tvalid_0's mape: 0.00921616\n",
      "[108000]\tvalid_0's mape: 0.00921248\n",
      "[110000]\tvalid_0's mape: 0.00920899\n",
      "[112000]\tvalid_0's mape: 0.00920561\n",
      "[114000]\tvalid_0's mape: 0.00920267\n",
      "[116000]\tvalid_0's mape: 0.00919976\n",
      "[118000]\tvalid_0's mape: 0.00919693\n",
      "[120000]\tvalid_0's mape: 0.00919418\n",
      "[122000]\tvalid_0's mape: 0.00919155\n",
      "[124000]\tvalid_0's mape: 0.00918901\n",
      "[126000]\tvalid_0's mape: 0.00918647\n",
      "[128000]\tvalid_0's mape: 0.00918425\n",
      "[130000]\tvalid_0's mape: 0.00918205\n",
      "[132000]\tvalid_0's mape: 0.0091799\n",
      "[134000]\tvalid_0's mape: 0.00917776\n",
      "[136000]\tvalid_0's mape: 0.0091757\n",
      "[138000]\tvalid_0's mape: 0.00917372\n",
      "[140000]\tvalid_0's mape: 0.00917196\n",
      "[142000]\tvalid_0's mape: 0.00917025\n",
      "[144000]\tvalid_0's mape: 0.00916869\n",
      "[146000]\tvalid_0's mape: 0.00916698\n",
      "[148000]\tvalid_0's mape: 0.00916538\n",
      "[150000]\tvalid_0's mape: 0.00916378\n",
      "[152000]\tvalid_0's mape: 0.00916231\n",
      "[154000]\tvalid_0's mape: 0.00916094\n",
      "[156000]\tvalid_0's mape: 0.00915964\n",
      "[158000]\tvalid_0's mape: 0.00915846\n",
      "[160000]\tvalid_0's mape: 0.00915726\n",
      "[162000]\tvalid_0's mape: 0.00915613\n",
      "[164000]\tvalid_0's mape: 0.00915496\n",
      "[166000]\tvalid_0's mape: 0.00915379\n",
      "[168000]\tvalid_0's mape: 0.00915262\n",
      "[170000]\tvalid_0's mape: 0.00915149\n",
      "[172000]\tvalid_0's mape: 0.00915044\n",
      "[174000]\tvalid_0's mape: 0.00914938\n",
      "[176000]\tvalid_0's mape: 0.00914832\n",
      "[178000]\tvalid_0's mape: 0.00914729\n",
      "[180000]\tvalid_0's mape: 0.0091463\n",
      "[182000]\tvalid_0's mape: 0.00914538\n",
      "[184000]\tvalid_0's mape: 0.00914448\n",
      "[186000]\tvalid_0's mape: 0.00914356\n",
      "[188000]\tvalid_0's mape: 0.00914273\n",
      "[190000]\tvalid_0's mape: 0.0091419\n",
      "[192000]\tvalid_0's mape: 0.00914116\n",
      "[194000]\tvalid_0's mape: 0.00914038\n",
      "[196000]\tvalid_0's mape: 0.00913957\n",
      "[198000]\tvalid_0's mape: 0.00913878\n",
      "[200000]\tvalid_0's mape: 0.00913809\n",
      "[202000]\tvalid_0's mape: 0.0091374\n",
      "[204000]\tvalid_0's mape: 0.00913681\n",
      "[206000]\tvalid_0's mape: 0.0091362\n",
      "[208000]\tvalid_0's mape: 0.00913566\n",
      "[210000]\tvalid_0's mape: 0.00913507\n",
      "[212000]\tvalid_0's mape: 0.00913454\n",
      "[214000]\tvalid_0's mape: 0.00913398\n",
      "[216000]\tvalid_0's mape: 0.00913338\n",
      "[218000]\tvalid_0's mape: 0.00913282\n",
      "[220000]\tvalid_0's mape: 0.00913228\n",
      "[222000]\tvalid_0's mape: 0.00913168\n",
      "[224000]\tvalid_0's mape: 0.0091311\n",
      "[226000]\tvalid_0's mape: 0.00913061\n",
      "[228000]\tvalid_0's mape: 0.00913014\n",
      "[230000]\tvalid_0's mape: 0.0091297\n",
      "[232000]\tvalid_0's mape: 0.00912922\n",
      "[234000]\tvalid_0's mape: 0.00912877\n",
      "[236000]\tvalid_0's mape: 0.00912833\n",
      "[238000]\tvalid_0's mape: 0.00912789\n",
      "[240000]\tvalid_0's mape: 0.00912748\n",
      "[242000]\tvalid_0's mape: 0.00912711\n",
      "[244000]\tvalid_0's mape: 0.00912672\n",
      "[246000]\tvalid_0's mape: 0.00912628\n",
      "[248000]\tvalid_0's mape: 0.00912588\n",
      "[250000]\tvalid_0's mape: 0.00912549\n",
      "[252000]\tvalid_0's mape: 0.00912515\n",
      "[254000]\tvalid_0's mape: 0.00912477\n",
      "[256000]\tvalid_0's mape: 0.00912441\n",
      "[258000]\tvalid_0's mape: 0.00912403\n",
      "[260000]\tvalid_0's mape: 0.00912365\n",
      "[262000]\tvalid_0's mape: 0.00912324\n",
      "[264000]\tvalid_0's mape: 0.0091229\n",
      "[266000]\tvalid_0's mape: 0.00912238\n",
      "[268000]\tvalid_0's mape: 0.00912189\n",
      "[270000]\tvalid_0's mape: 0.00912147\n",
      "[272000]\tvalid_0's mape: 0.00912101\n",
      "[274000]\tvalid_0's mape: 0.00912066\n",
      "[276000]\tvalid_0's mape: 0.00912035\n",
      "[278000]\tvalid_0's mape: 0.00912003\n",
      "[280000]\tvalid_0's mape: 0.00911978\n",
      "[282000]\tvalid_0's mape: 0.00911953\n",
      "[284000]\tvalid_0's mape: 0.0091193\n",
      "[286000]\tvalid_0's mape: 0.00911905\n",
      "[288000]\tvalid_0's mape: 0.00911879\n",
      "[290000]\tvalid_0's mape: 0.00911856\n",
      "[292000]\tvalid_0's mape: 0.00911833\n",
      "[294000]\tvalid_0's mape: 0.00911809\n",
      "[296000]\tvalid_0's mape: 0.00911787\n",
      "[298000]\tvalid_0's mape: 0.00911764\n",
      "[300000]\tvalid_0's mape: 0.00911742\n",
      "[302000]\tvalid_0's mape: 0.00911727\n",
      "[304000]\tvalid_0's mape: 0.0091171\n",
      "[306000]\tvalid_0's mape: 0.00911691\n",
      "[308000]\tvalid_0's mape: 0.00911668\n",
      "[310000]\tvalid_0's mape: 0.00911651\n",
      "[312000]\tvalid_0's mape: 0.00911633\n",
      "[314000]\tvalid_0's mape: 0.00911614\n",
      "[316000]\tvalid_0's mape: 0.00911598\n",
      "[318000]\tvalid_0's mape: 0.00911581\n",
      "[320000]\tvalid_0's mape: 0.00911563\n",
      "[322000]\tvalid_0's mape: 0.00911545\n",
      "[324000]\tvalid_0's mape: 0.00911529\n",
      "[326000]\tvalid_0's mape: 0.00911513\n",
      "[328000]\tvalid_0's mape: 0.00911499\n",
      "[330000]\tvalid_0's mape: 0.00911482\n",
      "[332000]\tvalid_0's mape: 0.00911466\n",
      "[334000]\tvalid_0's mape: 0.00911451\n",
      "[336000]\tvalid_0's mape: 0.00911437\n",
      "[338000]\tvalid_0's mape: 0.00911423\n",
      "[340000]\tvalid_0's mape: 0.0091141\n",
      "[342000]\tvalid_0's mape: 0.00911398\n",
      "[344000]\tvalid_0's mape: 0.00911386\n",
      "[346000]\tvalid_0's mape: 0.00911375\n",
      "[348000]\tvalid_0's mape: 0.0091136\n",
      "[350000]\tvalid_0's mape: 0.00911345\n",
      "[352000]\tvalid_0's mape: 0.00911329\n",
      "[354000]\tvalid_0's mape: 0.00911312\n",
      "[356000]\tvalid_0's mape: 0.00911298\n",
      "[358000]\tvalid_0's mape: 0.00911285\n",
      "[360000]\tvalid_0's mape: 0.00911272\n",
      "[362000]\tvalid_0's mape: 0.00911264\n",
      "[364000]\tvalid_0's mape: 0.00911252\n",
      "[366000]\tvalid_0's mape: 0.00911243\n",
      "[368000]\tvalid_0's mape: 0.00911234\n",
      "[370000]\tvalid_0's mape: 0.00911225\n",
      "[372000]\tvalid_0's mape: 0.00911217\n",
      "[374000]\tvalid_0's mape: 0.00911206\n",
      "[376000]\tvalid_0's mape: 0.00911196\n",
      "[378000]\tvalid_0's mape: 0.00911187\n",
      "[380000]\tvalid_0's mape: 0.00911177\n",
      "[382000]\tvalid_0's mape: 0.00911168\n",
      "[384000]\tvalid_0's mape: 0.00911158\n",
      "[386000]\tvalid_0's mape: 0.00911149\n",
      "[388000]\tvalid_0's mape: 0.00911141\n",
      "[390000]\tvalid_0's mape: 0.00911133\n",
      "[392000]\tvalid_0's mape: 0.00911126\n",
      "[394000]\tvalid_0's mape: 0.00911116\n",
      "[396000]\tvalid_0's mape: 0.00911108\n",
      "[398000]\tvalid_0's mape: 0.00911099\n",
      "[400000]\tvalid_0's mape: 0.0091109\n",
      "[402000]\tvalid_0's mape: 0.00911081\n",
      "[404000]\tvalid_0's mape: 0.00911075\n",
      "[406000]\tvalid_0's mape: 0.00911068\n",
      "[408000]\tvalid_0's mape: 0.00911063\n",
      "[410000]\tvalid_0's mape: 0.00911054\n",
      "[412000]\tvalid_0's mape: 0.00911048\n",
      "[414000]\tvalid_0's mape: 0.00911042\n",
      "[416000]\tvalid_0's mape: 0.00911035\n",
      "[418000]\tvalid_0's mape: 0.0091103\n",
      "[420000]\tvalid_0's mape: 0.00911024\n",
      "[422000]\tvalid_0's mape: 0.00911018\n",
      "[424000]\tvalid_0's mape: 0.00911012\n",
      "[426000]\tvalid_0's mape: 0.00911006\n",
      "[428000]\tvalid_0's mape: 0.00911\n",
      "[430000]\tvalid_0's mape: 0.00910994\n",
      "[432000]\tvalid_0's mape: 0.00910988\n",
      "[434000]\tvalid_0's mape: 0.00910983\n",
      "[436000]\tvalid_0's mape: 0.00910977\n",
      "[438000]\tvalid_0's mape: 0.00910972\n",
      "[440000]\tvalid_0's mape: 0.00910967\n",
      "[442000]\tvalid_0's mape: 0.00910961\n",
      "[444000]\tvalid_0's mape: 0.00910957\n",
      "[446000]\tvalid_0's mape: 0.00910953\n",
      "[448000]\tvalid_0's mape: 0.00910949\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[450000]\tvalid_0's mape: 0.00910945\n",
      "[452000]\tvalid_0's mape: 0.0091094\n",
      "[454000]\tvalid_0's mape: 0.00910937\n",
      "[456000]\tvalid_0's mape: 0.00910934\n",
      "[458000]\tvalid_0's mape: 0.0091093\n",
      "Early stopping, best iteration is:\n",
      "[458752]\tvalid_0's mape: 0.00910929\n",
      "(Fold 2) score, mse, mae, mape: 5955.87216, 0.03789, 0.12113, 0.00911.\n",
      "Training until validation scores don't improve for 1000 rounds.\n",
      "[2000]\tvalid_0's mape: 0.0265795\n",
      "[4000]\tvalid_0's mape: 0.0158272\n",
      "[6000]\tvalid_0's mape: 0.0126887\n",
      "[8000]\tvalid_0's mape: 0.0116126\n",
      "[10000]\tvalid_0's mape: 0.0110926\n",
      "[12000]\tvalid_0's mape: 0.0107692\n",
      "[14000]\tvalid_0's mape: 0.0105479\n",
      "[16000]\tvalid_0's mape: 0.0103851\n",
      "[18000]\tvalid_0's mape: 0.0102557\n",
      "[20000]\tvalid_0's mape: 0.0101497\n",
      "[22000]\tvalid_0's mape: 0.0100562\n",
      "[24000]\tvalid_0's mape: 0.00997853\n",
      "[26000]\tvalid_0's mape: 0.0099117\n",
      "[28000]\tvalid_0's mape: 0.00985561\n",
      "[30000]\tvalid_0's mape: 0.0098069\n",
      "[32000]\tvalid_0's mape: 0.00976428\n",
      "[34000]\tvalid_0's mape: 0.00972647\n",
      "[36000]\tvalid_0's mape: 0.00969303\n",
      "[38000]\tvalid_0's mape: 0.00966268\n",
      "[40000]\tvalid_0's mape: 0.00963407\n",
      "[42000]\tvalid_0's mape: 0.00960803\n",
      "[44000]\tvalid_0's mape: 0.00958382\n",
      "[50000]\tvalid_0's mape: 0.00952069\n",
      "[52000]\tvalid_0's mape: 0.00950243\n",
      "[54000]\tvalid_0's mape: 0.00948552\n",
      "[56000]\tvalid_0's mape: 0.00946976\n",
      "[58000]\tvalid_0's mape: 0.00945493\n",
      "[60000]\tvalid_0's mape: 0.00944122\n",
      "[62000]\tvalid_0's mape: 0.00942841\n",
      "[64000]\tvalid_0's mape: 0.00941598\n",
      "[66000]\tvalid_0's mape: 0.00940437\n",
      "[68000]\tvalid_0's mape: 0.00939355\n",
      "[70000]\tvalid_0's mape: 0.00938311\n",
      "[72000]\tvalid_0's mape: 0.00937352\n",
      "[74000]\tvalid_0's mape: 0.00936442\n",
      "[76000]\tvalid_0's mape: 0.00935515\n",
      "[78000]\tvalid_0's mape: 0.00934683\n",
      "[80000]\tvalid_0's mape: 0.00933934\n",
      "[82000]\tvalid_0's mape: 0.00933183\n",
      "[84000]\tvalid_0's mape: 0.00932475\n",
      "[86000]\tvalid_0's mape: 0.00931814\n",
      "[88000]\tvalid_0's mape: 0.0093119\n",
      "[90000]\tvalid_0's mape: 0.00930602\n",
      "[92000]\tvalid_0's mape: 0.00930035\n",
      "[94000]\tvalid_0's mape: 0.00929508\n",
      "[96000]\tvalid_0's mape: 0.00929006\n",
      "[98000]\tvalid_0's mape: 0.00928515\n",
      "[100000]\tvalid_0's mape: 0.00928044\n",
      "[102000]\tvalid_0's mape: 0.00927586\n",
      "[104000]\tvalid_0's mape: 0.00927139\n",
      "[106000]\tvalid_0's mape: 0.00926726\n",
      "[108000]\tvalid_0's mape: 0.00926323\n",
      "[110000]\tvalid_0's mape: 0.00925923\n",
      "[112000]\tvalid_0's mape: 0.00925541\n",
      "[114000]\tvalid_0's mape: 0.00925179\n",
      "[116000]\tvalid_0's mape: 0.00924821\n",
      "[118000]\tvalid_0's mape: 0.00924498\n",
      "[120000]\tvalid_0's mape: 0.00924185\n",
      "[122000]\tvalid_0's mape: 0.00923869\n",
      "[124000]\tvalid_0's mape: 0.00923578\n",
      "[126000]\tvalid_0's mape: 0.00923291\n",
      "[128000]\tvalid_0's mape: 0.00923008\n",
      "[130000]\tvalid_0's mape: 0.00922737\n",
      "[132000]\tvalid_0's mape: 0.00922474\n",
      "[134000]\tvalid_0's mape: 0.0092222\n",
      "[136000]\tvalid_0's mape: 0.00921946\n",
      "[138000]\tvalid_0's mape: 0.00921693\n",
      "[140000]\tvalid_0's mape: 0.00921468\n",
      "[142000]\tvalid_0's mape: 0.00921255\n",
      "[144000]\tvalid_0's mape: 0.00921048\n",
      "[146000]\tvalid_0's mape: 0.00920846\n",
      "[148000]\tvalid_0's mape: 0.00920651\n",
      "[150000]\tvalid_0's mape: 0.00920473\n",
      "[152000]\tvalid_0's mape: 0.00920303\n",
      "[154000]\tvalid_0's mape: 0.00920132\n",
      "[156000]\tvalid_0's mape: 0.00919967\n",
      "[158000]\tvalid_0's mape: 0.00919792\n",
      "[160000]\tvalid_0's mape: 0.00919619\n",
      "[162000]\tvalid_0's mape: 0.00919472\n",
      "[164000]\tvalid_0's mape: 0.00919328\n",
      "[166000]\tvalid_0's mape: 0.00919172\n",
      "[168000]\tvalid_0's mape: 0.00919029\n",
      "[170000]\tvalid_0's mape: 0.00918898\n",
      "[172000]\tvalid_0's mape: 0.00918763\n",
      "[174000]\tvalid_0's mape: 0.0091864\n",
      "[176000]\tvalid_0's mape: 0.0091852\n",
      "[178000]\tvalid_0's mape: 0.00918401\n",
      "[180000]\tvalid_0's mape: 0.00918284\n",
      "[182000]\tvalid_0's mape: 0.00918179\n",
      "[184000]\tvalid_0's mape: 0.00918074\n",
      "[186000]\tvalid_0's mape: 0.00917974\n",
      "[188000]\tvalid_0's mape: 0.00917876\n",
      "[190000]\tvalid_0's mape: 0.00917784\n",
      "[192000]\tvalid_0's mape: 0.00917684\n",
      "[194000]\tvalid_0's mape: 0.00917581\n",
      "[196000]\tvalid_0's mape: 0.00917485\n",
      "[198000]\tvalid_0's mape: 0.00917393\n",
      "[200000]\tvalid_0's mape: 0.00917304\n",
      "[202000]\tvalid_0's mape: 0.00917219\n",
      "[204000]\tvalid_0's mape: 0.00917127\n",
      "[206000]\tvalid_0's mape: 0.0091704\n",
      "[208000]\tvalid_0's mape: 0.00916967\n",
      "[210000]\tvalid_0's mape: 0.00916895\n",
      "[212000]\tvalid_0's mape: 0.00916832\n",
      "[214000]\tvalid_0's mape: 0.00916757\n",
      "[216000]\tvalid_0's mape: 0.00916696\n",
      "[218000]\tvalid_0's mape: 0.00916631\n",
      "[220000]\tvalid_0's mape: 0.00916574\n",
      "[222000]\tvalid_0's mape: 0.00916513\n",
      "[224000]\tvalid_0's mape: 0.00916449\n",
      "[226000]\tvalid_0's mape: 0.00916395\n",
      "[228000]\tvalid_0's mape: 0.0091634\n",
      "[230000]\tvalid_0's mape: 0.00916291\n",
      "[232000]\tvalid_0's mape: 0.00916243\n",
      "[234000]\tvalid_0's mape: 0.00916193\n",
      "[236000]\tvalid_0's mape: 0.00916141\n",
      "[238000]\tvalid_0's mape: 0.00916089\n",
      "[240000]\tvalid_0's mape: 0.00916045\n",
      "[242000]\tvalid_0's mape: 0.00915998\n",
      "[248000]\tvalid_0's mape: 0.00915876\n",
      "[250000]\tvalid_0's mape: 0.00915834\n",
      "[252000]\tvalid_0's mape: 0.00915792\n",
      "[254000]\tvalid_0's mape: 0.0091575\n",
      "[256000]\tvalid_0's mape: 0.00915717\n",
      "[258000]\tvalid_0's mape: 0.00915682\n",
      "[260000]\tvalid_0's mape: 0.00915649\n",
      "[262000]\tvalid_0's mape: 0.0091562\n",
      "[264000]\tvalid_0's mape: 0.00915589\n",
      "[266000]\tvalid_0's mape: 0.00915562\n",
      "[268000]\tvalid_0's mape: 0.00915538\n",
      "[270000]\tvalid_0's mape: 0.00915515\n",
      "[272000]\tvalid_0's mape: 0.00915489\n",
      "[274000]\tvalid_0's mape: 0.00915458\n",
      "[276000]\tvalid_0's mape: 0.00915429\n",
      "[278000]\tvalid_0's mape: 0.00915401\n",
      "[280000]\tvalid_0's mape: 0.00915372\n",
      "[282000]\tvalid_0's mape: 0.00915345\n",
      "[284000]\tvalid_0's mape: 0.00915317\n",
      "[286000]\tvalid_0's mape: 0.0091529\n",
      "[288000]\tvalid_0's mape: 0.00915268\n",
      "[290000]\tvalid_0's mape: 0.00915247\n",
      "[292000]\tvalid_0's mape: 0.00915224\n",
      "[294000]\tvalid_0's mape: 0.00915201\n",
      "[296000]\tvalid_0's mape: 0.00915175\n",
      "[298000]\tvalid_0's mape: 0.00915151\n",
      "[300000]\tvalid_0's mape: 0.00915127\n",
      "[302000]\tvalid_0's mape: 0.00915107\n",
      "[304000]\tvalid_0's mape: 0.00915085\n",
      "[306000]\tvalid_0's mape: 0.00915066\n",
      "[308000]\tvalid_0's mape: 0.00915048\n",
      "[310000]\tvalid_0's mape: 0.00915028\n",
      "[312000]\tvalid_0's mape: 0.00915008\n",
      "[314000]\tvalid_0's mape: 0.00914987\n",
      "[316000]\tvalid_0's mape: 0.00914966\n",
      "[318000]\tvalid_0's mape: 0.00914946\n",
      "[320000]\tvalid_0's mape: 0.00914926\n",
      "[322000]\tvalid_0's mape: 0.00914906\n",
      "[324000]\tvalid_0's mape: 0.00914887\n",
      "[326000]\tvalid_0's mape: 0.0091487\n",
      "[328000]\tvalid_0's mape: 0.00914852\n",
      "[330000]\tvalid_0's mape: 0.00914835\n",
      "[332000]\tvalid_0's mape: 0.00914819\n",
      "[334000]\tvalid_0's mape: 0.00914804\n",
      "[336000]\tvalid_0's mape: 0.00914788\n",
      "[338000]\tvalid_0's mape: 0.00914772\n",
      "[340000]\tvalid_0's mape: 0.00914754\n",
      "[342000]\tvalid_0's mape: 0.00914735\n",
      "[344000]\tvalid_0's mape: 0.00914719\n",
      "[346000]\tvalid_0's mape: 0.00914705\n",
      "[348000]\tvalid_0's mape: 0.0091469\n",
      "[350000]\tvalid_0's mape: 0.00914678\n",
      "[352000]\tvalid_0's mape: 0.00914666\n",
      "[354000]\tvalid_0's mape: 0.00914652\n",
      "[356000]\tvalid_0's mape: 0.00914636\n",
      "[358000]\tvalid_0's mape: 0.00914621\n",
      "[360000]\tvalid_0's mape: 0.00914606\n",
      "[362000]\tvalid_0's mape: 0.00914593\n",
      "[364000]\tvalid_0's mape: 0.0091458\n",
      "[366000]\tvalid_0's mape: 0.00914566\n",
      "[368000]\tvalid_0's mape: 0.00914556\n",
      "[370000]\tvalid_0's mape: 0.00914544\n",
      "[372000]\tvalid_0's mape: 0.00914533\n",
      "[374000]\tvalid_0's mape: 0.0091452\n",
      "[376000]\tvalid_0's mape: 0.00914509\n",
      "[378000]\tvalid_0's mape: 0.00914499\n",
      "[380000]\tvalid_0's mape: 0.00914487\n",
      "[382000]\tvalid_0's mape: 0.00914475\n",
      "[384000]\tvalid_0's mape: 0.00914464\n",
      "[386000]\tvalid_0's mape: 0.00914453\n",
      "[388000]\tvalid_0's mape: 0.00914445\n",
      "[390000]\tvalid_0's mape: 0.00914435\n",
      "[392000]\tvalid_0's mape: 0.00914427\n",
      "[394000]\tvalid_0's mape: 0.00914419\n",
      "[396000]\tvalid_0's mape: 0.0091441\n",
      "[398000]\tvalid_0's mape: 0.00914401\n",
      "[400000]\tvalid_0's mape: 0.00914392\n",
      "[402000]\tvalid_0's mape: 0.00914386\n",
      "[404000]\tvalid_0's mape: 0.00914376\n",
      "[406000]\tvalid_0's mape: 0.00914367\n",
      "[408000]\tvalid_0's mape: 0.0091436\n",
      "[410000]\tvalid_0's mape: 0.00914353\n",
      "[412000]\tvalid_0's mape: 0.00914346\n",
      "[414000]\tvalid_0's mape: 0.00914339\n",
      "[416000]\tvalid_0's mape: 0.0091433\n",
      "[418000]\tvalid_0's mape: 0.00914322\n",
      "[420000]\tvalid_0's mape: 0.00914314\n",
      "[422000]\tvalid_0's mape: 0.00914306\n",
      "[424000]\tvalid_0's mape: 0.00914299\n",
      "[426000]\tvalid_0's mape: 0.00914291\n",
      "[428000]\tvalid_0's mape: 0.00914284\n",
      "[430000]\tvalid_0's mape: 0.00914277\n",
      "[432000]\tvalid_0's mape: 0.00914269\n",
      "[434000]\tvalid_0's mape: 0.00914262\n",
      "[436000]\tvalid_0's mape: 0.00914255\n",
      "[438000]\tvalid_0's mape: 0.00914249\n",
      "[440000]\tvalid_0's mape: 0.00914242\n",
      "[442000]\tvalid_0's mape: 0.00914236\n",
      "[444000]\tvalid_0's mape: 0.00914229\n",
      "[446000]\tvalid_0's mape: 0.00914223\n",
      "[448000]\tvalid_0's mape: 0.00914218\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[450000]\tvalid_0's mape: 0.00914214\n",
      "[452000]\tvalid_0's mape: 0.00914208\n",
      "[454000]\tvalid_0's mape: 0.00914201\n",
      "[456000]\tvalid_0's mape: 0.00914198\n",
      "[458000]\tvalid_0's mape: 0.00914193\n",
      "Early stopping, best iteration is:\n",
      "[458798]\tvalid_0's mape: 0.00914191\n",
      "(Fold 3) score, mse, mae, mape: 5881.87490, 0.03697, 0.12171, 0.00914.\n",
      "Training until validation scores don't improve for 1000 rounds.\n",
      "[2000]\tvalid_0's mape: 0.026897\n",
      "[4000]\tvalid_0's mape: 0.0160715\n",
      "[6000]\tvalid_0's mape: 0.0127665\n",
      "[8000]\tvalid_0's mape: 0.0115721\n",
      "[10000]\tvalid_0's mape: 0.0109853\n",
      "[12000]\tvalid_0's mape: 0.0106414\n",
      "[14000]\tvalid_0's mape: 0.0104103\n",
      "[16000]\tvalid_0's mape: 0.0102375\n",
      "[18000]\tvalid_0's mape: 0.0101057\n",
      "[20000]\tvalid_0's mape: 0.00999717\n",
      "[22000]\tvalid_0's mape: 0.00990521\n",
      "[24000]\tvalid_0's mape: 0.00982798\n",
      "[26000]\tvalid_0's mape: 0.00976339\n",
      "[28000]\tvalid_0's mape: 0.00970867\n",
      "[30000]\tvalid_0's mape: 0.00966147\n",
      "[32000]\tvalid_0's mape: 0.00961971\n",
      "[34000]\tvalid_0's mape: 0.00958336\n",
      "[36000]\tvalid_0's mape: 0.00955046\n",
      "[38000]\tvalid_0's mape: 0.00952086\n",
      "[40000]\tvalid_0's mape: 0.00949467\n",
      "[42000]\tvalid_0's mape: 0.00947001\n",
      "[44000]\tvalid_0's mape: 0.00944759\n",
      "[46000]\tvalid_0's mape: 0.00942662\n",
      "[48000]\tvalid_0's mape: 0.00940748\n",
      "[50000]\tvalid_0's mape: 0.00938934\n",
      "[52000]\tvalid_0's mape: 0.00937273\n",
      "[54000]\tvalid_0's mape: 0.00935718\n",
      "[56000]\tvalid_0's mape: 0.0093428\n",
      "[58000]\tvalid_0's mape: 0.00932944\n",
      "[60000]\tvalid_0's mape: 0.00931675\n",
      "[62000]\tvalid_0's mape: 0.00930544\n",
      "[64000]\tvalid_0's mape: 0.00929487\n",
      "[66000]\tvalid_0's mape: 0.00928446\n",
      "[68000]\tvalid_0's mape: 0.00927483\n",
      "[70000]\tvalid_0's mape: 0.00926593\n",
      "[72000]\tvalid_0's mape: 0.00925724\n",
      "[74000]\tvalid_0's mape: 0.00924907\n",
      "[76000]\tvalid_0's mape: 0.00924142\n",
      "[78000]\tvalid_0's mape: 0.00923434\n",
      "[80000]\tvalid_0's mape: 0.0092275\n",
      "[82000]\tvalid_0's mape: 0.00922094\n",
      "[84000]\tvalid_0's mape: 0.00921465\n",
      "[86000]\tvalid_0's mape: 0.0092088\n",
      "[88000]\tvalid_0's mape: 0.00920323\n",
      "[90000]\tvalid_0's mape: 0.00919788\n",
      "[92000]\tvalid_0's mape: 0.00919309\n",
      "[94000]\tvalid_0's mape: 0.00918827\n",
      "[96000]\tvalid_0's mape: 0.00918369\n",
      "[98000]\tvalid_0's mape: 0.00917933\n",
      "[100000]\tvalid_0's mape: 0.00917524\n",
      "[102000]\tvalid_0's mape: 0.00917128\n",
      "[104000]\tvalid_0's mape: 0.00916747\n",
      "[106000]\tvalid_0's mape: 0.00916366\n",
      "[108000]\tvalid_0's mape: 0.00916033\n",
      "[110000]\tvalid_0's mape: 0.00915707\n",
      "[112000]\tvalid_0's mape: 0.00915398\n",
      "[114000]\tvalid_0's mape: 0.00915081\n",
      "[116000]\tvalid_0's mape: 0.00914787\n",
      "[118000]\tvalid_0's mape: 0.009145\n",
      "[120000]\tvalid_0's mape: 0.00914225\n",
      "[122000]\tvalid_0's mape: 0.0091397\n",
      "[124000]\tvalid_0's mape: 0.00913724\n",
      "[126000]\tvalid_0's mape: 0.00913491\n",
      "[128000]\tvalid_0's mape: 0.00913258\n",
      "[130000]\tvalid_0's mape: 0.00913032\n",
      "[132000]\tvalid_0's mape: 0.00912825\n",
      "[134000]\tvalid_0's mape: 0.0091262\n",
      "[136000]\tvalid_0's mape: 0.00912422\n",
      "[138000]\tvalid_0's mape: 0.00912249\n",
      "[140000]\tvalid_0's mape: 0.00912071\n",
      "[142000]\tvalid_0's mape: 0.00911876\n",
      "[144000]\tvalid_0's mape: 0.00911696\n",
      "[146000]\tvalid_0's mape: 0.00911519\n",
      "[148000]\tvalid_0's mape: 0.0091129\n",
      "[150000]\tvalid_0's mape: 0.00911087\n",
      "[152000]\tvalid_0's mape: 0.00910902\n",
      "[154000]\tvalid_0's mape: 0.00910726\n",
      "[156000]\tvalid_0's mape: 0.00910562\n",
      "[158000]\tvalid_0's mape: 0.00910425\n",
      "[160000]\tvalid_0's mape: 0.00910307\n",
      "[162000]\tvalid_0's mape: 0.00910181\n",
      "[164000]\tvalid_0's mape: 0.00910071\n",
      "[166000]\tvalid_0's mape: 0.00909965\n",
      "[168000]\tvalid_0's mape: 0.00909862\n",
      "[170000]\tvalid_0's mape: 0.00909746\n",
      "[172000]\tvalid_0's mape: 0.00909633\n",
      "[174000]\tvalid_0's mape: 0.0090952\n",
      "[176000]\tvalid_0's mape: 0.00909413\n",
      "[178000]\tvalid_0's mape: 0.00909309\n",
      "[180000]\tvalid_0's mape: 0.00909213\n",
      "[182000]\tvalid_0's mape: 0.00909123\n",
      "[184000]\tvalid_0's mape: 0.00909038\n",
      "[186000]\tvalid_0's mape: 0.00908955\n",
      "[188000]\tvalid_0's mape: 0.00908869\n",
      "[190000]\tvalid_0's mape: 0.00908787\n",
      "[192000]\tvalid_0's mape: 0.00908712\n",
      "[194000]\tvalid_0's mape: 0.00908639\n",
      "[196000]\tvalid_0's mape: 0.00908565\n",
      "[198000]\tvalid_0's mape: 0.00908495\n",
      "[200000]\tvalid_0's mape: 0.00908427\n",
      "[202000]\tvalid_0's mape: 0.0090836\n",
      "[204000]\tvalid_0's mape: 0.00908293\n",
      "[206000]\tvalid_0's mape: 0.00908233\n",
      "[208000]\tvalid_0's mape: 0.00908176\n",
      "[210000]\tvalid_0's mape: 0.00908119\n",
      "[212000]\tvalid_0's mape: 0.00908064\n",
      "[214000]\tvalid_0's mape: 0.00908001\n",
      "[216000]\tvalid_0's mape: 0.00907945\n",
      "[218000]\tvalid_0's mape: 0.00907891\n",
      "[220000]\tvalid_0's mape: 0.00907836\n",
      "[222000]\tvalid_0's mape: 0.00907781\n",
      "[224000]\tvalid_0's mape: 0.00907732\n",
      "[226000]\tvalid_0's mape: 0.0090769\n",
      "[228000]\tvalid_0's mape: 0.00907629\n",
      "[230000]\tvalid_0's mape: 0.00907573\n",
      "[232000]\tvalid_0's mape: 0.00907523\n",
      "[234000]\tvalid_0's mape: 0.00907472\n",
      "[236000]\tvalid_0's mape: 0.00907425\n",
      "[238000]\tvalid_0's mape: 0.00907379\n",
      "[240000]\tvalid_0's mape: 0.00907333\n",
      "[242000]\tvalid_0's mape: 0.00907295\n",
      "[244000]\tvalid_0's mape: 0.00907259\n",
      "[246000]\tvalid_0's mape: 0.00907225\n",
      "[248000]\tvalid_0's mape: 0.00907188\n",
      "[250000]\tvalid_0's mape: 0.00907155\n",
      "[252000]\tvalid_0's mape: 0.00907123\n",
      "[254000]\tvalid_0's mape: 0.00907088\n",
      "[256000]\tvalid_0's mape: 0.00907054\n",
      "[258000]\tvalid_0's mape: 0.00907025\n",
      "[260000]\tvalid_0's mape: 0.00906998\n",
      "[262000]\tvalid_0's mape: 0.00906972\n",
      "[264000]\tvalid_0's mape: 0.0090695\n",
      "[266000]\tvalid_0's mape: 0.00906926\n",
      "[268000]\tvalid_0's mape: 0.009069\n",
      "[270000]\tvalid_0's mape: 0.00906875\n",
      "[272000]\tvalid_0's mape: 0.0090685\n",
      "[274000]\tvalid_0's mape: 0.00906824\n",
      "[276000]\tvalid_0's mape: 0.00906801\n",
      "[278000]\tvalid_0's mape: 0.0090678\n",
      "[280000]\tvalid_0's mape: 0.00906762\n",
      "[282000]\tvalid_0's mape: 0.00906744\n",
      "[284000]\tvalid_0's mape: 0.00906728\n",
      "[286000]\tvalid_0's mape: 0.00906711\n",
      "[288000]\tvalid_0's mape: 0.00906687\n",
      "[290000]\tvalid_0's mape: 0.00906665\n",
      "[292000]\tvalid_0's mape: 0.00906643\n",
      "[294000]\tvalid_0's mape: 0.00906625\n",
      "[296000]\tvalid_0's mape: 0.00906606\n",
      "[298000]\tvalid_0's mape: 0.00906588\n",
      "[300000]\tvalid_0's mape: 0.0090657\n",
      "[302000]\tvalid_0's mape: 0.00906552\n",
      "[304000]\tvalid_0's mape: 0.00906534\n",
      "[306000]\tvalid_0's mape: 0.00906516\n",
      "[308000]\tvalid_0's mape: 0.00906501\n",
      "[310000]\tvalid_0's mape: 0.00906483\n",
      "[312000]\tvalid_0's mape: 0.00906464\n",
      "[314000]\tvalid_0's mape: 0.00906447\n",
      "[316000]\tvalid_0's mape: 0.0090643\n",
      "[318000]\tvalid_0's mape: 0.00906412\n",
      "[320000]\tvalid_0's mape: 0.00906396\n",
      "[322000]\tvalid_0's mape: 0.0090638\n",
      "[324000]\tvalid_0's mape: 0.00906365\n",
      "[326000]\tvalid_0's mape: 0.00906351\n",
      "[328000]\tvalid_0's mape: 0.00906334\n",
      "[330000]\tvalid_0's mape: 0.0090632\n",
      "[332000]\tvalid_0's mape: 0.00906308\n",
      "[334000]\tvalid_0's mape: 0.00906294\n",
      "[336000]\tvalid_0's mape: 0.00906282\n",
      "[338000]\tvalid_0's mape: 0.0090627\n",
      "[340000]\tvalid_0's mape: 0.00906257\n",
      "[342000]\tvalid_0's mape: 0.00906246\n",
      "[344000]\tvalid_0's mape: 0.00906235\n",
      "[346000]\tvalid_0's mape: 0.00906223\n",
      "[348000]\tvalid_0's mape: 0.00906211\n",
      "[350000]\tvalid_0's mape: 0.009062\n",
      "[352000]\tvalid_0's mape: 0.0090619\n",
      "[354000]\tvalid_0's mape: 0.00906179\n",
      "[356000]\tvalid_0's mape: 0.00906172\n",
      "[358000]\tvalid_0's mape: 0.00906163\n",
      "[360000]\tvalid_0's mape: 0.00906153\n",
      "[362000]\tvalid_0's mape: 0.00906142\n",
      "[364000]\tvalid_0's mape: 0.00906135\n",
      "[366000]\tvalid_0's mape: 0.00906128\n",
      "[368000]\tvalid_0's mape: 0.00906119\n",
      "[370000]\tvalid_0's mape: 0.00906111\n",
      "[372000]\tvalid_0's mape: 0.00906101\n",
      "[374000]\tvalid_0's mape: 0.00906094\n",
      "[376000]\tvalid_0's mape: 0.00906086\n",
      "[378000]\tvalid_0's mape: 0.00906077\n",
      "[380000]\tvalid_0's mape: 0.0090607\n",
      "[382000]\tvalid_0's mape: 0.00906062\n",
      "[384000]\tvalid_0's mape: 0.00906053\n",
      "[386000]\tvalid_0's mape: 0.00906046\n",
      "[388000]\tvalid_0's mape: 0.00906038\n",
      "[390000]\tvalid_0's mape: 0.00906031\n",
      "[392000]\tvalid_0's mape: 0.00906023\n",
      "[394000]\tvalid_0's mape: 0.00906016\n",
      "[396000]\tvalid_0's mape: 0.0090601\n",
      "[398000]\tvalid_0's mape: 0.00906003\n",
      "[400000]\tvalid_0's mape: 0.00905994\n",
      "[402000]\tvalid_0's mape: 0.00905987\n",
      "[404000]\tvalid_0's mape: 0.00905981\n",
      "[406000]\tvalid_0's mape: 0.00905976\n",
      "[408000]\tvalid_0's mape: 0.0090597\n",
      "[410000]\tvalid_0's mape: 0.00905964\n",
      "[412000]\tvalid_0's mape: 0.00905958\n",
      "[414000]\tvalid_0's mape: 0.00905952\n",
      "[416000]\tvalid_0's mape: 0.00905947\n",
      "[418000]\tvalid_0's mape: 0.00905943\n",
      "[420000]\tvalid_0's mape: 0.00905938\n",
      "[422000]\tvalid_0's mape: 0.00905934\n",
      "[424000]\tvalid_0's mape: 0.00905929\n",
      "[426000]\tvalid_0's mape: 0.00905925\n",
      "[428000]\tvalid_0's mape: 0.00905919\n",
      "[430000]\tvalid_0's mape: 0.00905914\n",
      "[432000]\tvalid_0's mape: 0.00905911\n",
      "[434000]\tvalid_0's mape: 0.00905907\n",
      "[436000]\tvalid_0's mape: 0.00905903\n",
      "[438000]\tvalid_0's mape: 0.009059\n",
      "[440000]\tvalid_0's mape: 0.00905897\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[442000]\tvalid_0's mape: 0.00905892\n",
      "[444000]\tvalid_0's mape: 0.00905888\n",
      "[446000]\tvalid_0's mape: 0.00905886\n",
      "[448000]\tvalid_0's mape: 0.00905882\n",
      "[450000]\tvalid_0's mape: 0.00905879\n",
      "[452000]\tvalid_0's mape: 0.00905875\n",
      "[454000]\tvalid_0's mape: 0.00905874\n",
      "[456000]\tvalid_0's mape: 0.00905872\n",
      "[458000]\tvalid_0's mape: 0.00905871\n",
      "Early stopping, best iteration is:\n",
      "[457589]\tvalid_0's mape: 0.0090587\n",
      "(Fold 4) score, mse, mae, mape: 5891.87286, 0.03687, 0.12051, 0.00906.\n"
     ]
    }
   ],
   "source": [
    "t0 = time.time()\n",
    "\n",
    "predicts_val = []\n",
    "predicts_test = test[['building_id']].copy()\n",
    "best_iterations = []\n",
    "scores = []\n",
    "for i, id_fold in enumerate(id_cv):\n",
    "    #id_fold = id_fold['building_id']\n",
    "    # split train, val\n",
    "    df_train = train.loc[~train['building_id'].isin(id_fold)].copy()\n",
    "    df_val = train.loc[train['building_id'].isin(id_fold)].copy()\n",
    "    df_test = test.copy()\n",
    "    \n",
    "    # feat eng\n",
    "    feat_eng = FeatureEngineering(cols_num, cols_cat, cols_feats, col_target)\n",
    "    df_train = feat_eng.fit_transform(df_train)\n",
    "    df_val = feat_eng.transform(df_val)\n",
    "    df_test = feat_eng.transform(df_test)\n",
    "\n",
    "    # Construct lgb dataset\n",
    "    lgb_train = lgb.Dataset(df_train[cols_feats], df_train[col_target]).construct()\n",
    "    lgb_val = lgb.Dataset(df_val[cols_feats], df_val[col_target], reference=lgb_train).construct()\n",
    "        \n",
    "    # train model    \n",
    "    model = lgb.train(params, lgb_train, valid_sets=lgb_val, **lgb_other_params, keep_training_booster=True)\n",
    "    best_iterations.append(model.best_iteration)\n",
    "\n",
    "    # Predict on val set\n",
    "    y_pred = model.predict(df_val[cols_feats])\n",
    "    mse = mean_squared_error(df_val[col_target], y_pred)\n",
    "    mae = mean_absolute_error(df_val[col_target], y_pred)\n",
    "    mape = cal_mape(df_val[col_target], y_pred)\n",
    "    \n",
    "    y_pred_final = post_processing(y_pred, df_val)\n",
    "    score = cal_score(df_val['total_price'], y_pred_final)\n",
    "    scores.append(score)\n",
    "\n",
    "    print('(Fold %d) score, mse, mae, mape: %.5f, %.5f, %.5f, %.5f.' % (i, score, mse, mae, mape))\n",
    "    predicts_val.append(pd.DataFrame({'building_id': df_val['building_id'],\n",
    "                                      'total_price': df_val['total_price'],\n",
    "                                      'total_price_predict': y_pred_final}))\n",
    "\n",
    "    # Predict on test set\n",
    "    y_pred_test = model.predict(df_test[cols_feats])\n",
    "    predicts_test['target_{}'.format(i)] = y_pred_test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total run time: 69604.83816576004\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): 5908.874237664586 44.37013677216624 [5849.876775056154, 5964.874497845826, 5955.872155525032, 5881.87489561274, 5891.872864283182]\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): 0.8742376645868717 0.0016223703412978074 [0.87677506 0.87449785 0.87215553 0.87489561 0.87286428]\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>15.151090</td>\n",
       "      <td>15.198807</td>\n",
       "      <td>15.263310</td>\n",
       "      <td>15.208742</td>\n",
       "      <td>15.134891</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>BTshNOJyKHnT2YIT</td>\n",
       "      <td>13.135424</td>\n",
       "      <td>13.120902</td>\n",
       "      <td>13.136580</td>\n",
       "      <td>13.144478</td>\n",
       "      <td>13.139785</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>dhdymr0lV8N5kZOT</td>\n",
       "      <td>13.647283</td>\n",
       "      <td>13.678725</td>\n",
       "      <td>13.696139</td>\n",
       "      <td>13.674343</td>\n",
       "      <td>13.685386</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>VEwyGGMcD56w5BOc</td>\n",
       "      <td>14.806717</td>\n",
       "      <td>14.790474</td>\n",
       "      <td>14.763363</td>\n",
       "      <td>14.802120</td>\n",
       "      <td>14.777621</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>wmUeMoJZfsqaSX9b</td>\n",
       "      <td>12.144680</td>\n",
       "      <td>12.137670</td>\n",
       "      <td>12.081708</td>\n",
       "      <td>12.173861</td>\n",
       "      <td>12.201740</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  15.151090  15.198807  15.263310  15.208742  15.134891\n",
       "1  BTshNOJyKHnT2YIT  13.135424  13.120902  13.136580  13.144478  13.139785\n",
       "2  dhdymr0lV8N5kZOT  13.647283  13.678725  13.696139  13.674343  13.685386\n",
       "3  VEwyGGMcD56w5BOc  14.806717  14.790474  14.763363  14.802120  14.777621\n",
       "4  wmUeMoJZfsqaSX9b  12.144680  12.137670  12.081708  12.173861  12.201740"
      ]
     },
     "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: [445869, 462090, 458752, 458798, 457589]\n",
      "Mean best iterations: 456619\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': 547943, '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': 26,\n",
       " 'num_leaves': 250,\n",
       " 'feature_fraction': 0.45,\n",
       " 'min_data_in_leaf': 5,\n",
       " 'lambda_l1': 0.05,\n",
       " 'lambda_l2': 0.001,\n",
       " 'max_bin': 383,\n",
       " 'min_sum_hessian_in_leaf': 0.0001,\n",
       " 'seed': 555}"
      ]
     },
     "execution_count": 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: 0.0260922\n",
      "[4000]\ttraining's mape: 0.0147424\n",
      "[6000]\ttraining's mape: 0.0110101\n",
      "[8000]\ttraining's mape: 0.00945809\n",
      "[10000]\ttraining's mape: 0.00855756\n",
      "[12000]\ttraining's mape: 0.00791603\n",
      "[14000]\ttraining's mape: 0.0074146\n",
      "[16000]\ttraining's mape: 0.00700012\n",
      "[18000]\ttraining's mape: 0.00664562\n",
      "[20000]\ttraining's mape: 0.00633203\n",
      "[22000]\ttraining's mape: 0.00604721\n",
      "[24000]\ttraining's mape: 0.00579322\n",
      "[26000]\ttraining's mape: 0.00556487\n",
      "[28000]\ttraining's mape: 0.00535825\n",
      "[30000]\ttraining's mape: 0.00517014\n",
      "[32000]\ttraining's mape: 0.00499762\n",
      "[34000]\ttraining's mape: 0.00483831\n",
      "[36000]\ttraining's mape: 0.00468922\n",
      "[38000]\ttraining's mape: 0.00454798\n",
      "[40000]\ttraining's mape: 0.0044151\n",
      "[42000]\ttraining's mape: 0.00428852\n",
      "[44000]\ttraining's mape: 0.00416811\n",
      "[46000]\ttraining's mape: 0.00405347\n",
      "[48000]\ttraining's mape: 0.00394491\n",
      "[50000]\ttraining's mape: 0.00384162\n",
      "[52000]\ttraining's mape: 0.00374244\n",
      "[54000]\ttraining's mape: 0.00364624\n",
      "[56000]\ttraining's mape: 0.00355305\n",
      "[58000]\ttraining's mape: 0.00346404\n",
      "[60000]\ttraining's mape: 0.00337905\n",
      "[62000]\ttraining's mape: 0.00329671\n",
      "[64000]\ttraining's mape: 0.00321778\n",
      "[66000]\ttraining's mape: 0.00314164\n",
      "[68000]\ttraining's mape: 0.00306827\n",
      "[70000]\ttraining's mape: 0.00299771\n",
      "[72000]\ttraining's mape: 0.00292901\n",
      "[74000]\ttraining's mape: 0.00286263\n",
      "[76000]\ttraining's mape: 0.00279814\n",
      "[82000]\ttraining's mape: 0.00261623\n",
      "[84000]\ttraining's mape: 0.00255948\n",
      "[86000]\ttraining's mape: 0.00250459\n",
      "[88000]\ttraining's mape: 0.00245188\n",
      "[90000]\ttraining's mape: 0.00240104\n",
      "[92000]\ttraining's mape: 0.00235203\n",
      "[94000]\ttraining's mape: 0.0023039\n",
      "[96000]\ttraining's mape: 0.00225732\n",
      "[98000]\ttraining's mape: 0.00221305\n",
      "[100000]\ttraining's mape: 0.00216983\n",
      "[102000]\ttraining's mape: 0.0021273\n",
      "[104000]\ttraining's mape: 0.00208582\n",
      "[106000]\ttraining's mape: 0.0020459\n",
      "[108000]\ttraining's mape: 0.0020065\n",
      "[110000]\ttraining's mape: 0.00196849\n",
      "[112000]\ttraining's mape: 0.00193163\n",
      "[114000]\ttraining's mape: 0.00189545\n",
      "[116000]\ttraining's mape: 0.00186032\n",
      "[118000]\ttraining's mape: 0.00182636\n",
      "[120000]\ttraining's mape: 0.00179272\n",
      "[122000]\ttraining's mape: 0.00175951\n",
      "[124000]\ttraining's mape: 0.00172675\n",
      "[126000]\ttraining's mape: 0.0016948\n",
      "[128000]\ttraining's mape: 0.00166372\n",
      "[130000]\ttraining's mape: 0.00163381\n",
      "[132000]\ttraining's mape: 0.00160484\n",
      "[134000]\ttraining's mape: 0.00157628\n",
      "[136000]\ttraining's mape: 0.00154918\n",
      "[138000]\ttraining's mape: 0.00152122\n",
      "[140000]\ttraining's mape: 0.00149413\n",
      "[142000]\ttraining's mape: 0.00146836\n",
      "[144000]\ttraining's mape: 0.00144351\n",
      "[146000]\ttraining's mape: 0.00141884\n",
      "[148000]\ttraining's mape: 0.00139474\n",
      "[150000]\ttraining's mape: 0.00137134\n",
      "[152000]\ttraining's mape: 0.00134836\n",
      "[154000]\ttraining's mape: 0.00132594\n",
      "[156000]\ttraining's mape: 0.00130353\n",
      "[158000]\ttraining's mape: 0.00128193\n",
      "[160000]\ttraining's mape: 0.00126079\n",
      "[162000]\ttraining's mape: 0.00123993\n",
      "[164000]\ttraining's mape: 0.00121951\n",
      "[166000]\ttraining's mape: 0.00119945\n",
      "[168000]\ttraining's mape: 0.00118041\n",
      "[170000]\ttraining's mape: 0.00116172\n",
      "[172000]\ttraining's mape: 0.00114329\n",
      "[174000]\ttraining's mape: 0.00112455\n",
      "[176000]\ttraining's mape: 0.00110557\n",
      "[178000]\ttraining's mape: 0.00108725\n",
      "[180000]\ttraining's mape: 0.00107003\n",
      "[182000]\ttraining's mape: 0.00105301\n",
      "[184000]\ttraining's mape: 0.00103639\n",
      "[186000]\ttraining's mape: 0.00102033\n",
      "[188000]\ttraining's mape: 0.00100447\n",
      "[190000]\ttraining's mape: 0.000988853\n",
      "[192000]\ttraining's mape: 0.000973428\n",
      "[194000]\ttraining's mape: 0.000958965\n",
      "[196000]\ttraining's mape: 0.00094466\n",
      "[198000]\ttraining's mape: 0.000930934\n",
      "[200000]\ttraining's mape: 0.00091679\n",
      "[202000]\ttraining's mape: 0.000903358\n",
      "[204000]\ttraining's mape: 0.000890493\n",
      "[206000]\ttraining's mape: 0.000877661\n",
      "[208000]\ttraining's mape: 0.000865435\n",
      "[210000]\ttraining's mape: 0.000853874\n",
      "[212000]\ttraining's mape: 0.000842316\n",
      "[214000]\ttraining's mape: 0.000830657\n",
      "[216000]\ttraining's mape: 0.000819195\n",
      "[218000]\ttraining's mape: 0.000808035\n",
      "[220000]\ttraining's mape: 0.000797352\n",
      "[222000]\ttraining's mape: 0.000786734\n",
      "[224000]\ttraining's mape: 0.000776095\n",
      "[226000]\ttraining's mape: 0.000765722\n",
      "[228000]\ttraining's mape: 0.000755177\n",
      "[230000]\ttraining's mape: 0.000745022\n",
      "[232000]\ttraining's mape: 0.000735245\n",
      "[234000]\ttraining's mape: 0.000725546\n",
      "[236000]\ttraining's mape: 0.000715953\n",
      "[238000]\ttraining's mape: 0.000706806\n",
      "[240000]\ttraining's mape: 0.000697317\n",
      "[242000]\ttraining's mape: 0.000688433\n",
      "[244000]\ttraining's mape: 0.000679638\n",
      "[246000]\ttraining's mape: 0.000670928\n",
      "[248000]\ttraining's mape: 0.000662332\n",
      "[250000]\ttraining's mape: 0.000653752\n",
      "[252000]\ttraining's mape: 0.000645384\n",
      "[254000]\ttraining's mape: 0.000637187\n",
      "[256000]\ttraining's mape: 0.000629256\n",
      "[258000]\ttraining's mape: 0.00062156\n",
      "[260000]\ttraining's mape: 0.000613879\n",
      "[262000]\ttraining's mape: 0.000606344\n",
      "[264000]\ttraining's mape: 0.000598943\n",
      "[266000]\ttraining's mape: 0.000591913\n",
      "[268000]\ttraining's mape: 0.000584829\n",
      "[270000]\ttraining's mape: 0.000577736\n",
      "[272000]\ttraining's mape: 0.000570573\n",
      "[274000]\ttraining's mape: 0.000563675\n",
      "[276000]\ttraining's mape: 0.000556798\n",
      "[278000]\ttraining's mape: 0.000550144\n",
      "[280000]\ttraining's mape: 0.000543474\n",
      "[282000]\ttraining's mape: 0.000536951\n",
      "[284000]\ttraining's mape: 0.000530678\n",
      "[286000]\ttraining's mape: 0.000524493\n",
      "[288000]\ttraining's mape: 0.000518435\n",
      "[290000]\ttraining's mape: 0.000511992\n",
      "[292000]\ttraining's mape: 0.000505639\n",
      "[294000]\ttraining's mape: 0.000499319\n",
      "[296000]\ttraining's mape: 0.000493224\n",
      "[298000]\ttraining's mape: 0.000487266\n",
      "[300000]\ttraining's mape: 0.000481452\n",
      "[302000]\ttraining's mape: 0.000475785\n",
      "[304000]\ttraining's mape: 0.000470423\n",
      "[306000]\ttraining's mape: 0.000465175\n",
      "[308000]\ttraining's mape: 0.00045999\n",
      "[310000]\ttraining's mape: 0.000454713\n",
      "[312000]\ttraining's mape: 0.000449631\n",
      "[314000]\ttraining's mape: 0.000444672\n",
      "[316000]\ttraining's mape: 0.000439985\n",
      "[318000]\ttraining's mape: 0.00043524\n",
      "[320000]\ttraining's mape: 0.000430436\n",
      "[322000]\ttraining's mape: 0.000425505\n",
      "[324000]\ttraining's mape: 0.000420702\n",
      "[326000]\ttraining's mape: 0.000416127\n",
      "[328000]\ttraining's mape: 0.000411529\n",
      "[330000]\ttraining's mape: 0.000406957\n",
      "[332000]\ttraining's mape: 0.000402549\n",
      "[334000]\ttraining's mape: 0.000398298\n",
      "[336000]\ttraining's mape: 0.0003941\n",
      "[338000]\ttraining's mape: 0.000389958\n",
      "[340000]\ttraining's mape: 0.000385857\n",
      "[342000]\ttraining's mape: 0.000381929\n",
      "[344000]\ttraining's mape: 0.000377962\n",
      "[346000]\ttraining's mape: 0.000374194\n",
      "[348000]\ttraining's mape: 0.000370515\n",
      "[350000]\ttraining's mape: 0.000366834\n",
      "[352000]\ttraining's mape: 0.000363289\n",
      "[354000]\ttraining's mape: 0.000359657\n",
      "[356000]\ttraining's mape: 0.000356073\n",
      "[358000]\ttraining's mape: 0.000352622\n",
      "[360000]\ttraining's mape: 0.000349182\n",
      "[362000]\ttraining's mape: 0.000345785\n",
      "[364000]\ttraining's mape: 0.000342491\n",
      "[366000]\ttraining's mape: 0.000339214\n",
      "[368000]\ttraining's mape: 0.000336073\n",
      "[370000]\ttraining's mape: 0.000332901\n",
      "[372000]\ttraining's mape: 0.000329893\n",
      "[374000]\ttraining's mape: 0.000326838\n",
      "[376000]\ttraining's mape: 0.000323808\n",
      "[378000]\ttraining's mape: 0.000320705\n",
      "[380000]\ttraining's mape: 0.00031775\n",
      "[382000]\ttraining's mape: 0.000314843\n",
      "[384000]\ttraining's mape: 0.000311916\n",
      "[386000]\ttraining's mape: 0.000309105\n",
      "[388000]\ttraining's mape: 0.00030637\n",
      "[390000]\ttraining's mape: 0.000303662\n",
      "[392000]\ttraining's mape: 0.000301008\n",
      "[394000]\ttraining's mape: 0.000298399\n",
      "[396000]\ttraining's mape: 0.000295761\n",
      "[398000]\ttraining's mape: 0.000293212\n",
      "[400000]\ttraining's mape: 0.000290678\n",
      "[402000]\ttraining's mape: 0.000288158\n",
      "[404000]\ttraining's mape: 0.000285637\n",
      "[406000]\ttraining's mape: 0.000283198\n",
      "[408000]\ttraining's mape: 0.000280831\n",
      "[410000]\ttraining's mape: 0.000278455\n",
      "[412000]\ttraining's mape: 0.000276136\n",
      "[414000]\ttraining's mape: 0.00027385\n",
      "[416000]\ttraining's mape: 0.000271586\n",
      "[418000]\ttraining's mape: 0.000269337\n",
      "[420000]\ttraining's mape: 0.000267061\n",
      "[422000]\ttraining's mape: 0.000264834\n",
      "[424000]\ttraining's mape: 0.00026273\n",
      "[426000]\ttraining's mape: 0.000260589\n",
      "[428000]\ttraining's mape: 0.000258517\n",
      "[430000]\ttraining's mape: 0.000256441\n",
      "[432000]\ttraining's mape: 0.000254373\n",
      "[434000]\ttraining's mape: 0.00025238\n",
      "[436000]\ttraining's mape: 0.000250378\n",
      "[438000]\ttraining's mape: 0.000248424\n",
      "[440000]\ttraining's mape: 0.000246497\n",
      "[442000]\ttraining's mape: 0.000244571\n",
      "[444000]\ttraining's mape: 0.000242766\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[446000]\ttraining's mape: 0.000240938\n",
      "[448000]\ttraining's mape: 0.000239059\n",
      "[450000]\ttraining's mape: 0.000237303\n",
      "[452000]\ttraining's mape: 0.000235558\n",
      "[454000]\ttraining's mape: 0.000233862\n",
      "[456000]\ttraining's mape: 0.00023215\n",
      "[458000]\ttraining's mape: 0.000230402\n",
      "[460000]\ttraining's mape: 0.000228645\n",
      "[462000]\ttraining's mape: 0.000226983\n",
      "[464000]\ttraining's mape: 0.000225377\n",
      "[466000]\ttraining's mape: 0.000223766\n",
      "[468000]\ttraining's mape: 0.000222133\n",
      "[470000]\ttraining's mape: 0.000220587\n",
      "[472000]\ttraining's mape: 0.000219065\n",
      "[474000]\ttraining's mape: 0.000217521\n",
      "[476000]\ttraining's mape: 0.000216019\n",
      "[478000]\ttraining's mape: 0.000214541\n",
      "[480000]\ttraining's mape: 0.000213038\n",
      "[482000]\ttraining's mape: 0.000211549\n",
      "[484000]\ttraining's mape: 0.000210081\n",
      "[486000]\ttraining's mape: 0.000208653\n",
      "[488000]\ttraining's mape: 0.00020729\n",
      "[490000]\ttraining's mape: 0.000205888\n",
      "[492000]\ttraining's mape: 0.000204496\n",
      "[494000]\ttraining's mape: 0.000203126\n",
      "[496000]\ttraining's mape: 0.000201853\n",
      "[498000]\ttraining's mape: 0.000200588\n",
      "[500000]\ttraining's mape: 0.000199355\n",
      "[502000]\ttraining's mape: 0.000198114\n",
      "[504000]\ttraining's mape: 0.000196854\n",
      "[506000]\ttraining's mape: 0.000195637\n",
      "[508000]\ttraining's mape: 0.000194398\n",
      "[510000]\ttraining's mape: 0.000193184\n",
      "[512000]\ttraining's mape: 0.000191982\n",
      "[514000]\ttraining's mape: 0.000190831\n",
      "[516000]\ttraining's mape: 0.000189625\n",
      "[518000]\ttraining's mape: 0.000188468\n",
      "[520000]\ttraining's mape: 0.000187306\n",
      "[522000]\ttraining's mape: 0.000186146\n",
      "[524000]\ttraining's mape: 0.00018499\n",
      "[526000]\ttraining's mape: 0.000183865\n",
      "[528000]\ttraining's mape: 0.000182741\n",
      "[530000]\ttraining's mape: 0.000181612\n",
      "[532000]\ttraining's mape: 0.000180534\n",
      "[534000]\ttraining's mape: 0.000179455\n",
      "[536000]\ttraining's mape: 0.000178452\n",
      "[538000]\ttraining's mape: 0.000177437\n",
      "[540000]\ttraining's mape: 0.000176456\n",
      "[542000]\ttraining's mape: 0.000175495\n",
      "[544000]\ttraining's mape: 0.000174551\n",
      "[546000]\ttraining's mape: 0.000173556\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>building_id</th>\n",
       "      <th>total_price</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>X5gsdTWGS3W7JJQB</td>\n",
       "      <td>1.456214e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>BTshNOJyKHnT2YIT</td>\n",
       "      <td>3.903389e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>dhdymr0lV8N5kZOT</td>\n",
       "      <td>1.064055e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>VEwyGGMcD56w5BOc</td>\n",
       "      <td>6.006309e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>wmUeMoJZfsqaSX9b</td>\n",
       "      <td>1.091787e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>EtBjGAHmHCe9t7TZ</td>\n",
       "      <td>2.678200e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>hPNH34vmaZtvBtqc</td>\n",
       "      <td>1.218763e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>wXjeI38bYDMJJwZC</td>\n",
       "      <td>6.266121e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>fxZSGX6aPAFKU8W4</td>\n",
       "      <td>1.677495e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>ewr0Fx6ign87OwaV</td>\n",
       "      <td>4.093801e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>gHKurnEP4AowzsLg</td>\n",
       "      <td>8.915733e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>PmLfTgY2FElLrTl0</td>\n",
       "      <td>5.302420e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>eM2NppIOwzW0o8iy</td>\n",
       "      <td>9.797683e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>dxxwNun97NH4WTrZ</td>\n",
       "      <td>2.956495e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>jykBfhh3vdeFUi3H</td>\n",
       "      <td>3.951961e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>NlXbvdFfmJZf3L18</td>\n",
       "      <td>2.163297e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>D7jaFWHCzSqLBwdt</td>\n",
       "      <td>9.866960e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>L10dBBdqGmemweSl</td>\n",
       "      <td>6.174675e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>OgB0AdiPKlElakKN</td>\n",
       "      <td>1.098717e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>StiWNN1GQrpPBOYt</td>\n",
       "      <td>2.602510e+06</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         building_id   total_price\n",
       "0   X5gsdTWGS3W7JJQB  1.456214e+07\n",
       "1   BTshNOJyKHnT2YIT  3.903389e+06\n",
       "2   dhdymr0lV8N5kZOT  1.064055e+07\n",
       "3   VEwyGGMcD56w5BOc  6.006309e+06\n",
       "4   wmUeMoJZfsqaSX9b  1.091787e+06\n",
       "5   EtBjGAHmHCe9t7TZ  2.678200e+06\n",
       "6   hPNH34vmaZtvBtqc  1.218763e+07\n",
       "7   wXjeI38bYDMJJwZC  6.266121e+06\n",
       "8   fxZSGX6aPAFKU8W4  1.677495e+06\n",
       "9   ewr0Fx6ign87OwaV  4.093801e+06\n",
       "10  gHKurnEP4AowzsLg  8.915733e+05\n",
       "11  PmLfTgY2FElLrTl0  5.302420e+06\n",
       "12  eM2NppIOwzW0o8iy  9.797683e+06\n",
       "13  dxxwNun97NH4WTrZ  2.956495e+06\n",
       "14  jykBfhh3vdeFUi3H  3.951961e+06\n",
       "15  NlXbvdFfmJZf3L18  2.163297e+07\n",
       "16  D7jaFWHCzSqLBwdt  9.866960e+05\n",
       "17  L10dBBdqGmemweSl  6.174675e+06\n",
       "18  OgB0AdiPKlElakKN  1.098717e+06\n",
       "19  StiWNN1GQrpPBOYt  2.602510e+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: 16309.43706870079\n"
     ]
    }
   ],
   "source": [
    "print('Total run time:', t11 - t10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Feature importance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 864x2160 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "lgb.plot_importance(model, figsize=(12, 30), height=0.5) # 050, 051, 052\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 864x2160 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "lgb.plot_importance(model, figsize=(12, 30), height=0.5, importance_type='gain') # 050, 051, 052\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.8"
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": true,
   "sideBar": true,
   "skip_h1_title": true,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {
    "height": "calc(100% - 180px)",
    "left": "10px",
    "top": "150px",
    "width": "193.785px"
   },
   "toc_section_display": true,
   "toc_window_display": true
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}