model-27-predict-lgb-feat_rm_new.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Change Log:\n",
    "- v27 - add time feature but remove using new shuffle importance list\n",
    "- v26 - change to num_leaves = 350 (v25 reduce to 250)\n",
    "- v19 - use parameters from model-19-build, lower learning rate = 0.0005\n",
    "- v20 - lower learning rate = 0.0008, add height_r and top_floor index\n",
    "- v16 - change parameters (some from model 05), rm reduce to 68\n",
    "- v14 - change random seed\n",
    "- v10 - remove features based on feature importance results (exp-l04-per-area)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Import packages"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import time\n",
    "import pickle\n",
    "import itertools\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import lightgbm as lgb\n",
    "import matplotlib.pyplot as plt\n",
    "from sklearn.model_selection import KFold\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.metrics import mean_squared_error\n",
    "from sklearn.metrics import mean_absolute_error\n",
    "from utilities import *"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "model_name = 'model-27-lgb-feat_rm_new'"
   ]
  },
  {
   "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 = [\n",
    "    'building_per_land_area', 'height_r', #'top_floor',\n",
    "    # dt num feats\n",
    "    'day_in_year_txn_dt', 'day_in_year_building_complete_dt', 'dt_diff_building_complete_dt_txn_dt',\n",
    "    # dt cat feats (??)\n",
    "    'dow_building_complete_dt', # 'dow_txn_dt', 'month_txn_dt', 'quarter_txn_dt', 'month_building_complete_dt', \n",
    "    'quarter_building_complete_dt', 'year_txn_dt', 'year_building_complete_dt'\n",
    "]\n",
    "cols_cat_add = ['encoded_latlon']\n",
    "\n",
    "#cols_feats_rm = [] # TODO: implement before using it"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Processing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "def pre_processing(df, cols_num, cols_cat): #, cols_feats\n",
    "    # Convert types\n",
    "    df[cols_num] = df[cols_num].astype('float32')\n",
    "    \n",
    "    # generate target\n",
    "    if 'total_price' in df:\n",
    "        df['total_price'] = df['total_price'].astype('float32')\n",
    "        df['log_total_price'] = np.log1p(df['total_price'])\n",
    "        df['per_area_total_price'] = df['total_price'] / df['building_area']\n",
    "        df['log_per_area_total_price'] = np.log1p(df['per_area_total_price'])\n",
    "        df['target'] = df[col_target]\n",
    "\n",
    "    # generate lat/lon encoded\n",
    "    kmeans = pickle.load(open('./object_kmeans_k6_combined.pkl', 'rb'))\n",
    "    df['encoded_latlon'] = kmeans.predict(df[['lat','lon']])\n",
    "    \n",
    "    # generate dt feats\n",
    "    df = create_dt_feats(df, 'txn_dt')\n",
    "    df = create_dt_feats(df, 'building_complete_dt')\n",
    "    df['dt_diff_building_complete_dt_txn_dt'] = df['txn_dt'] - df['building_complete_dt']\n",
    "    \n",
    "    # generate building to land ratio\n",
    "    df['building_per_land_area'] = df['building_area'] / df['land_area']\n",
    " \n",
    "    #cols_feats = cols_num + cols_cat + cols_feats_add\n",
    "    \n",
    "    # fix town and city\n",
    "    df['town'] = df['city'].astype('str')+'-'+df['town'].astype('str')\n",
    "    df['village'] = df['town'].astype('str')+'-'+df['village'].astype('str')\n",
    "    \n",
    "    # height ratio\n",
    "    df['height_r'] = df['txn_floor'] / df['total_floor']\n",
    "    df['top_floor'] = df['txn_floor'] == df['total_floor']\n",
    "    \n",
    "    return df  #, cols_feats"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "from feature_engineering import CategoricalColumnsEncoder\n",
    "from feature_engineering import TargetMeanEncoding\n",
    "from feature_engineering import MultiLabelEncoding\n",
    "\n",
    "class FeatureEngineering():\n",
    "    def __init__(self, cols_num, cols_cat, cols_feats, col_target, n_ran_encode=4):\n",
    "        # cols\n",
    "        self.cols_num = cols_num\n",
    "        self.cols_cat = cols_cat\n",
    "        self.cols_feats = cols_feats\n",
    "        self.col_target = col_target\n",
    "        \n",
    "        # Numbers\n",
    "        self.n_ran_encode = n_ran_encode\n",
    "        \n",
    "        # encoders\n",
    "        #self.tar_encoder = TargetMeanEncoding(col_target = self.col_target)\n",
    "        #self.ran_encoder = MultiLabelEncoding(self.n_ran_encode)\n",
    "        self.cat_astyper = CategoricalColumnsEncoder(mode='pandas')\n",
    "        \n",
    "    def fit_transform(self, df):\n",
    "        df = df.copy()    \n",
    "#        encoded1 = self.tar_encoder.fit_transform(df[self.cols_cat], df[self.col_target])\n",
    "#        encoded2 = self.ran_encoder.fit_transform(df[self.cols_cat])\n",
    "        self.cat_astyper.fit_transform(df, self.cols_cat)    \n",
    "        return df\n",
    "#        return pd.concat([df, encoded1, encoded2], axis=1)\n",
    "    \n",
    "    def transform(self, df):\n",
    "        df = df.copy()\n",
    "#        encoded1 = self.tar_encoder.transform(df[self.cols_cat])\n",
    "#        encoded2 = self.ran_encoder.transform(df[self.cols_cat])     # TODO: add generated feats into cols_feats\n",
    "        self.cat_astyper.transform(df)\n",
    "        return df\n",
    "#        return pd.concat([df, encoded1, encoded2], axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "def post_processing(y_pred, df):\n",
    "    \"\"\"Args: \n",
    "          y_pred (1d np.array): raw prediction y\n",
    "          df (pd.Dataframe): input feature df\n",
    "       Return: np.array\n",
    "    \"\"\"\n",
    "    y_pred_final = y_pred.copy()\n",
    "    \n",
    "    if is_log_target:\n",
    "        y_pred_final = np.expm1(y_pred_final)\n",
    "        y_pred_final = np.clip(y_pred_final, 0, None)\n",
    "\n",
    "    if is_per_area_target:\n",
    "        y_pred_final = y_pred_final * df['building_area'].values\n",
    "        \n",
    "    return y_pred_final"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "cols_num = ['txn_dt', 'total_floor', 'building_complete_dt', 'parking_area', 'parking_price', 'txn_floor',\n",
    "            'land_area', 'building_area', 'lat', 'lon', 'village_income_median', 'town_population', 'town_area',\n",
    "            'town_population_density', 'doc_rate', 'master_rate', 'bachelor_rate', 'jobschool_rate',\n",
    "            'highschool_rate', 'junior_rate', 'elementary_rate', 'born_rate', 'death_rate', 'marriage_rate',\n",
    "            'divorce_rate', 'N_50', 'N_500', 'N_1000', 'N_5000', 'N_10000', 'I_10', 'I_50', 'I_100', 'I_250',\n",
    "            'I_500', 'I_1000', 'I_5000', 'I_10000', 'I_MIN', 'II_10', 'II_50', 'II_100', 'II_250', 'II_500',\n",
    "            'II_1000', 'II_5000', 'II_10000', 'II_MIN', 'III_10', 'III_50', 'III_100', 'III_250', 'III_500',\n",
    "            'III_1000', 'III_5000', 'III_10000', 'III_MIN', 'IV_10', 'IV_50', 'IV_100', 'IV_250', 'IV_500',\n",
    "            'IV_1000', 'IV_5000', 'IV_10000', 'IV_MIN', 'V_10', 'V_50', 'V_100', 'V_250', 'V_500', 'V_1000',\n",
    "            'V_5000', 'V_10000', 'V_MIN', 'VI_50', 'VI_100', 'VI_250', 'VI_500', 'VI_1000', 'VI_5000', 'VI_10000',\n",
    "            'VI_MIN', 'VII_10', 'VII_50', 'VII_100', 'VII_250', 'VII_500', 'VII_1000', 'VII_5000', 'VII_10000',\n",
    "            'VII_MIN', 'VIII_10', 'VIII_50', 'VIII_100', 'VIII_250', 'VIII_500', 'VIII_1000', 'VIII_5000',\n",
    "            'VIII_10000', 'VIII_MIN', 'IX_10', 'IX_50', 'IX_100', 'IX_250', 'IX_500', 'IX_1000', 'IX_5000',\n",
    "            'IX_10000', 'IX_MIN', 'X_10', 'X_50', 'X_100', 'X_250', 'X_500', 'X_1000', 'X_5000', 'X_10000', 'X_MIN',\n",
    "            'XI_10', 'XI_50', 'XI_100', 'XI_250', 'XI_500', 'XI_1000', 'XI_5000', 'XI_10000', 'XI_MIN', 'XII_10',\n",
    "            'XII_50', 'XII_100', 'XII_250', 'XII_500', 'XII_1000', 'XII_5000', 'XII_10000', 'XII_MIN', 'XIII_10',\n",
    "            'XIII_50', 'XIII_100', 'XIII_250', 'XIII_500', 'XIII_1000', 'XIII_5000', 'XIII_10000', 'XIII_MIN',\n",
    "            'XIV_10', 'XIV_50', 'XIV_100', 'XIV_250', 'XIV_500', 'XIV_1000', 'XIV_5000', 'XIV_10000', 'XIV_MIN']\n",
    "cols_cat = ['building_material', 'city', 'building_type', 'building_use', 'parking_way', 'town', 'village',\n",
    "            'I_index_50', 'I_index_500', 'I_index_1000', 'II_index_50', 'II_index_500', 'II_index_1000',\n",
    "            'III_index_50', 'III_index_500', 'III_index_1000', 'IV_index_50', 'IV_index_500', 'IV_index_1000',\n",
    "            'IV_index_5000', 'V_index_50', 'V_index_500', 'V_index_1000', 'VI_10', 'VI_index_50', 'VI_index_500',\n",
    "            'VI_index_1000', 'VII_index_50', 'VII_index_500', 'VII_index_1000', 'VIII_index_50', 'VIII_index_500',\n",
    "            'VIII_index_1000', 'IX_index_50', 'IX_index_500', 'IX_index_1000', 'IX_index_5000', 'X_index_50',\n",
    "            'X_index_500', 'X_index_1000', 'XI_index_50', 'XI_index_500', 'XI_index_1000', 'XI_index_5000',\n",
    "            'XI_index_10000', 'XII_index_50', 'XII_index_500', 'XII_index_1000', 'XIII_index_50', 'XIII_index_500',\n",
    "            'XIII_index_1000', 'XIII_index_5000', 'XIII_index_10000', 'XIV_index_50', 'XIV_index_500',\n",
    "            'XIV_index_1000']\n",
    "cols_feats = cols_num + cols_cat\n",
    "\n",
    "# informational cols\n",
    "cols_dt = ['txn_dt', 'building_complete_dt']\n",
    "cols_bin = ['I_index_50', 'I_index_500', 'I_index_1000', 'II_index_50', 'II_index_500', 'II_index_1000',\n",
    "            'III_index_50', 'III_index_500', 'III_index_1000', 'IV_index_50', 'IV_index_500', 'IV_index_1000',\n",
    "            'IV_index_5000', 'V_index_50', 'V_index_500', 'V_index_1000', 'VI_10', 'VI_index_50', 'VI_index_500',\n",
    "            'VI_index_1000', 'VII_index_50', 'VII_index_500', 'VII_index_1000', 'VIII_index_50', 'VIII_index_500',\n",
    "            'VIII_index_1000', 'IX_index_50', 'IX_index_500', 'IX_index_1000', 'IX_index_5000', 'X_index_50',\n",
    "            'X_index_500', 'X_index_1000', 'XI_index_50', 'XI_index_500', 'XI_index_1000', 'XI_index_5000',\n",
    "            'XI_index_10000', 'XII_index_50', 'XII_index_500', 'XII_index_1000', 'XIII_index_50', 'XIII_index_500',\n",
    "            'XIII_index_1000', 'XIII_index_5000', 'XIII_index_10000', 'XIV_index_50', 'XIV_index_500',\n",
    "            'XIV_index_1000']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Read data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>building_id</th>\n",
       "      <th>building_material</th>\n",
       "      <th>city</th>\n",
       "      <th>txn_dt</th>\n",
       "      <th>total_floor</th>\n",
       "      <th>building_type</th>\n",
       "      <th>building_use</th>\n",
       "      <th>building_complete_dt</th>\n",
       "      <th>parking_way</th>\n",
       "      <th>parking_area</th>\n",
       "      <th>...</th>\n",
       "      <th>XIV_500</th>\n",
       "      <th>XIV_index_500</th>\n",
       "      <th>XIV_1000</th>\n",
       "      <th>XIV_index_1000</th>\n",
       "      <th>XIV_5000</th>\n",
       "      <th>XIV_index_5000</th>\n",
       "      <th>XIV_10000</th>\n",
       "      <th>XIV_index_10000</th>\n",
       "      <th>XIV_MIN</th>\n",
       "      <th>total_price</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>e3mMIMR3JJqCaXz1</td>\n",
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       "      <td>...</td>\n",
       "      <td>58</td>\n",
       "      <td>1</td>\n",
       "      <td>157</td>\n",
       "      <td>1</td>\n",
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       "      <td>6011</td>\n",
       "      <td>1</td>\n",
       "      <td>34.469802848528126</td>\n",
       "      <td>647603.7704719775</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>LgwzgklNvy4QCtq5</td>\n",
       "      <td>8</td>\n",
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       "      <td>7885</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>28</td>\n",
       "      <td>1</td>\n",
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       "      <td>1</td>\n",
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       "      <td>40.07357348973039</td>\n",
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       "      <td>6028</td>\n",
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       "      <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",
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       "      <td>2</td>\n",
       "      <td>18325</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>20</td>\n",
       "      <td>1</td>\n",
       "      <td>125</td>\n",
       "      <td>1</td>\n",
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       "      <td>rQpYpY9nRG7X5mmr</td>\n",
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       "      <td>1</td>\n",
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       "      <td>762711.9757135696</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 235 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        building_id building_material city txn_dt total_floor building_type  \\\n",
       "0  e3mMIMR3JJqCaXz1                 8   21  18674           4             3   \n",
       "1  LgwzgklNvy4QCtq5                 8    7  18800           5             1   \n",
       "2  ucIR2NLLsC3T650L                 8    7  19289           4             1   \n",
       "3  jre1pJhcQj91Kdky                 8   21  20385          24             0   \n",
       "4  rQpYpY9nRG7X5mmr                 1   21  20657           2             4   \n",
       "\n",
       "  building_use building_complete_dt parking_way parking_area  ... XIV_500  \\\n",
       "0            2                 6271           2          NaN  ...      58   \n",
       "1            2                 7885           2          NaN  ...      28   \n",
       "2            2                 6028           2          NaN  ...      78   \n",
       "3            2                18325           0          NaN  ...      20   \n",
       "4            2                 6880           2          NaN  ...      18   \n",
       "\n",
       "  XIV_index_500 XIV_1000 XIV_index_1000 XIV_5000 XIV_index_5000 XIV_10000  \\\n",
       "0             1      157              1     2483              1      6011   \n",
       "1             1      115              1    15872              1     32221   \n",
       "2             1      212              1    15760              1     32228   \n",
       "3             1      125              1     2568              1      7271   \n",
       "4             1       47              1     2587              1      7442   \n",
       "\n",
       "  XIV_index_10000             XIV_MIN         total_price  \n",
       "0               1  34.469802848528126   647603.7704719775  \n",
       "1               1   40.07357348973039           3321452.0  \n",
       "2               1   54.46208108983661   9570885.316206373  \n",
       "3               1   99.62896580763416  14215011.127100045  \n",
       "4               1   124.1312362968124   762711.9757135696  \n",
       "\n",
       "[5 rows x 235 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>building_id</th>\n",
       "      <th>building_material</th>\n",
       "      <th>city</th>\n",
       "      <th>txn_dt</th>\n",
       "      <th>total_floor</th>\n",
       "      <th>building_type</th>\n",
       "      <th>building_use</th>\n",
       "      <th>building_complete_dt</th>\n",
       "      <th>parking_way</th>\n",
       "      <th>parking_area</th>\n",
       "      <th>...</th>\n",
       "      <th>XIV_250</th>\n",
       "      <th>XIV_500</th>\n",
       "      <th>XIV_index_500</th>\n",
       "      <th>XIV_1000</th>\n",
       "      <th>XIV_index_1000</th>\n",
       "      <th>XIV_5000</th>\n",
       "      <th>XIV_index_5000</th>\n",
       "      <th>XIV_10000</th>\n",
       "      <th>XIV_index_10000</th>\n",
       "      <th>XIV_MIN</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>X5gsdTWGS3W7JJQB</td>\n",
       "      <td>1</td>\n",
       "      <td>13</td>\n",
       "      <td>18634</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>1857</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>7</td>\n",
       "      <td>21</td>\n",
       "      <td>1</td>\n",
       "      <td>129</td>\n",
       "      <td>1</td>\n",
       "      <td>3991</td>\n",
       "      <td>1</td>\n",
       "      <td>8409</td>\n",
       "      <td>1</td>\n",
       "      <td>105.4622312795739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>BTshNOJyKHnT2YIT</td>\n",
       "      <td>8</td>\n",
       "      <td>7</td>\n",
       "      <td>20199</td>\n",
       "      <td>10</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>16011</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>18</td>\n",
       "      <td>44</td>\n",
       "      <td>1</td>\n",
       "      <td>67</td>\n",
       "      <td>1</td>\n",
       "      <td>1950</td>\n",
       "      <td>1</td>\n",
       "      <td>10725</td>\n",
       "      <td>1</td>\n",
       "      <td>100.81980868401074</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>dhdymr0lV8N5kZOT</td>\n",
       "      <td>8</td>\n",
       "      <td>12</td>\n",
       "      <td>19769</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>10</td>\n",
       "      <td>18294</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>35</td>\n",
       "      <td>1</td>\n",
       "      <td>3707</td>\n",
       "      <td>1</td>\n",
       "      <td>19459</td>\n",
       "      <td>1</td>\n",
       "      <td>259.8005430183116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>VEwyGGMcD56w5BOc</td>\n",
       "      <td>10</td>\n",
       "      <td>7</td>\n",
       "      <td>20479</td>\n",
       "      <td>19</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>17837</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>16</td>\n",
       "      <td>60</td>\n",
       "      <td>1</td>\n",
       "      <td>144</td>\n",
       "      <td>1</td>\n",
       "      <td>6487</td>\n",
       "      <td>1</td>\n",
       "      <td>29400</td>\n",
       "      <td>1</td>\n",
       "      <td>22.941906168328487</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>wmUeMoJZfsqaSX9b</td>\n",
       "      <td>8</td>\n",
       "      <td>3</td>\n",
       "      <td>18164</td>\n",
       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>13272</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>4</td>\n",
       "      <td>18</td>\n",
       "      <td>1</td>\n",
       "      <td>76</td>\n",
       "      <td>1</td>\n",
       "      <td>1346</td>\n",
       "      <td>1</td>\n",
       "      <td>3280</td>\n",
       "      <td>1</td>\n",
       "      <td>181.21309507601745</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 234 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        building_id building_material city txn_dt total_floor building_type  \\\n",
       "0  X5gsdTWGS3W7JJQB                 1   13  18634           2             4   \n",
       "1  BTshNOJyKHnT2YIT                 8    7  20199          10             3   \n",
       "2  dhdymr0lV8N5kZOT                 8   12  19769           4             4   \n",
       "3  VEwyGGMcD56w5BOc                10    7  20479          19             2   \n",
       "4  wmUeMoJZfsqaSX9b                 8    3  18164          13             0   \n",
       "\n",
       "  building_use building_complete_dt parking_way parking_area  ... XIV_250  \\\n",
       "0            2                 1857           2          NaN  ...       7   \n",
       "1            2                16011           2          NaN  ...      18   \n",
       "2           10                18294           2          NaN  ...       0   \n",
       "3            0                17837           2          NaN  ...      16   \n",
       "4            2                13272           2          NaN  ...       4   \n",
       "\n",
       "  XIV_500 XIV_index_500 XIV_1000 XIV_index_1000 XIV_5000 XIV_index_5000  \\\n",
       "0      21             1      129              1     3991              1   \n",
       "1      44             1       67              1     1950              1   \n",
       "2       3             1       35              1     3707              1   \n",
       "3      60             1      144              1     6487              1   \n",
       "4      18             1       76              1     1346              1   \n",
       "\n",
       "  XIV_10000 XIV_index_10000             XIV_MIN  \n",
       "0      8409               1   105.4622312795739  \n",
       "1     10725               1  100.81980868401074  \n",
       "2     19459               1   259.8005430183116  \n",
       "3     29400               1  22.941906168328487  \n",
       "4      3280               1  181.21309507601745  \n",
       "\n",
       "[5 rows x 234 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "train = pd.read_csv('dataset/train.csv', dtype=object)\n",
    "test = pd.read_csv('dataset/test.csv', dtype=object)\n",
    "display(train.head(5))\n",
    "display(test.head(5))\n",
    "\n",
    "id_cv = []\n",
    "for i in range(5):\n",
    "    id_one_fold = pd.read_csv(f'dataset/id_cv{i}.csv', dtype=object)['building_id']\n",
    "    id_cv.append(id_one_fold)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Preprocessing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/skyhuang/.local/lib/python3.6/site-packages/sklearn/base.py:306: UserWarning: Trying to unpickle estimator KMeans from version 0.20.3 when using version 0.21.2. This might lead to breaking code or invalid results. Use at your own risk.\n",
      "  UserWarning)\n",
      "/home/skyhuang/.local/lib/python3.6/site-packages/sklearn/base.py:306: UserWarning: Trying to unpickle estimator KMeans from version 0.20.3 when using version 0.21.2. This might lead to breaking code or invalid results. Use at your own risk.\n",
      "  UserWarning)\n"
     ]
    }
   ],
   "source": [
    "train = pre_processing(train, cols_num, cols_cat)\n",
    "test = pre_processing(test, cols_num, cols_cat)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "cols_num = cols_num + [c for c in cols_num_add if c not in cols_num]\n",
    "cols_cat = cols_cat + [c for c in cols_cat_add if c not in cols_cat]\n",
    "cols_feats = cols_num + cols_cat"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Remove feats based on shuffle results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[0 'dow_txn_dt' 5626.198099861352 3.999921830412859]\n",
      " [1 'X_100' 5623.8648216837755 1.666643652836683]\n",
      " [2 'N_500' 5623.86477971246 1.6666016815215698]\n",
      " [3 'VI_250' 5623.531524725981 1.3333466950425645]\n",
      " [4 'death_rate' 5623.531507556135 1.3333295251959498]\n",
      " [5 'elementary_rate' 5623.531436894802 1.3332588638631933]\n",
      " [6 'V_50' 5623.198158176917 0.9999801459780429]\n",
      " [7 'XI_index_1000' 5622.864846795162 0.6666687642227771]\n",
      " [8 'VI_index_500' 5622.8648455873445 0.6666675564056277]\n",
      " [9 'XIV_10' 5622.8648405979575 0.6666625670186477]\n",
      " [10 'V_10' 5622.864834421419 0.6666563904800569]\n",
      " [11 'IV_500' 5622.864750886645 0.666572855706363]\n",
      " [12 'IV_250' 5622.864733466064 0.666555435124792]\n",
      " [13 'III_5000' 5622.864650842203 0.6664728112646117]\n",
      " [14 'month_txn_dt' 5622.531517782187 0.33333975124787685]\n",
      " [15 'III_index_50' 5622.531512620851 0.3333345899118285]\n",
      " [16 'XIII_index_50' 5622.531512329743 0.33333429880440235]\n",
      " [17 'XII_index_50' 5622.531512240729 0.3333342097903369]\n",
      " [18 'I_index_1000' 5622.531511732239 0.3333337013000346]\n",
      " [19 'X_index_1000' 5622.531511524641 0.33333349370241194]\n",
      " [20 'II_index_50' 5622.531511243862 0.3333332129232076]\n",
      " [21 'II_10' 5622.531510981692 0.3333329507531744]\n",
      " [22 'VI_index_50' 5622.53151084566 0.3333328147209613]\n",
      " [23 'XIII_index_1000' 5622.531510471169 0.3333324402301514]\n",
      " [24 'XIII_index_10000' 5622.53150999701 0.3333319660714551]\n",
      " [25 'XIV_index_50' 5622.53150997178 0.3333319408411626]\n",
      " [26 'X_50' 5622.531508278963 0.33333024802414]\n",
      " [27 'VII_10' 5622.53150216033 0.3333241293912579]\n",
      " [28 'VII_index_500' 5622.198179941119 1.910179889819119e-06]\n",
      " [29 'V_index_500' 5622.198178931959 9.010200301418081e-07]\n",
      " [30 'III_10' 5622.198178898609 8.676697689224966e-07]\n",
      " [31 'X_index_500' 5622.19817869235 6.614109224756248e-07]\n",
      " [32 'IX_index_1000' 5622.198178559668 5.287292879074812e-07]\n",
      " [33 'quarter_txn_dt' 5622.198178551931 5.209922164794989e-07]\n",
      " [34 'I_10' 5622.198178492202 4.612629709299654e-07]\n",
      " [35 'III_index_500' 5622.198178454546 4.2360716179246083e-07]\n",
      " [36 'XIII_index_5000' 5622.19817836761 3.3667129173409194e-07]\n",
      " [37 'XII_index_500' 5622.198178328433 2.974938979605213e-07]\n",
      " [38 'VII_index_1000' 5622.198178088682 5.774290912086144e-08]\n",
      " [39 'bachelor_rate' 5622.198178072319 4.138018994126469e-08]\n",
      " [40 'IX_index_500' 5622.198178059717 2.8778231353498995e-08]\n",
      " [41 'month_building_complete_dt' 5622.1981780522765\n",
      "  2.133765519829467e-08]\n",
      " [45 'XI_index_10000' 5622.198178030939 0.0]\n",
      " [47 'XIV_index_1000' 5622.198178030939 0.0]\n",
      " [46 'XII_index_1000' 5622.198178030939 0.0]\n",
      " [42 'none' 5622.198178030939 0.0]\n",
      " [44 'IX_index_5000' 5622.198178030939 0.0]\n",
      " [43 'top_floor' 5622.198178030939 0.0]\n",
      " [48 'XI_index_5000' 5622.1981779963835 -3.4555341699160635e-08]\n",
      " [49 'VIII_index_1000' 5622.19817789871 -1.3222870620666072e-07]\n",
      " [50 'VI_50' 5622.198177866639 -1.6430021787527949e-07]\n",
      " [51 'VI_10' 5622.198177862611 -1.6832746041473e-07]\n",
      " [52 'XIV_index_500' 5622.198177806081 -2.2485801309812814e-07]\n",
      " [53 'X_10' 5622.198177622675 -4.0826398617355153e-07]\n",
      " [54 'III_index_1000' 5622.198177460655 -5.702841008314863e-07]\n",
      " [55 'XI_10' 5622.198177453152 -5.777865226264112e-07]\n",
      " [56 'XI_index_500' 5622.198177419567 -6.113714334787801e-07]\n",
      " [57 'XI_index_50' 5622.198177190167 -8.407714631175622e-07]\n",
      " [58 'X_index_50' 5622.198177079342 -9.515970305074006e-07]\n",
      " [59 'IV_index_50' 5622.198176894956 -1.1359825293766335e-06]\n",
      " [60 'XIII_10' 5622.1981768201995 -1.210739355883561e-06]\n",
      " [61 'VII_index_50' 5622.1981768001215 -1.2308173609199002e-06]\n",
      " [62 'VIII_index_500' 5622.198176767808 -1.2631307981791906e-06]\n",
      " [63 'VIII_index_50' 5622.198176762678 -1.2682612577918917e-06]\n",
      " [64 'IV_index_5000' 5622.198176656127 -1.3748122000833973e-06]\n",
      " [65 'I_index_50' 5622.198175947634 -2.0833049347857013e-06]\n",
      " [66 'VI_100' 5622.198174959748 -3.071190803893842e-06]\n",
      " [67 'V_index_50' 5622.198170722363 -7.30857573216781e-06]\n",
      " [68 'V_index_1000' 5622.198167331589 -1.0699350241338834e-05]\n",
      " [69 'XIII_100' 5622.198166181178 -1.1849760994664393e-05]\n",
      " [70 'XI_100' 5622.198159986295 -1.804464409360662e-05]\n",
      " [71 'junior_rate' 5622.198141263068 -3.676787127915304e-05]\n",
      " [72 'IX_10' 5621.864846037043 -0.3333319938956265]\n",
      " [73 'II_index_500' 5621.864844887711 -0.3333331432277191]\n",
      " [74 'IV_index_500' 5621.864844812134 -0.33333321880490985]\n",
      " [75 'quarter_building_complete_dt' 5621.864844412896 -0.3333336180430706]\n",
      " [76 'II_index_1000' 5621.864844077448 -0.33333395349109196]\n",
      " [77 'I_50' 5621.864842276172 -0.3333357547671767]\n",
      " [78 'I_index_500' 5621.864842193446 -0.3333358374929958]\n",
      " [79 'N_5000' 5621.864841746953 -0.33333628398577275]\n",
      " [80 'IV_10' 5621.864833796472 -0.3333442344664945]\n",
      " [81 'IV_50' 5621.864828957331 -0.3333490736076783]\n",
      " [82 'XIII_50' 5621.864828330348 -0.3333497005905883]\n",
      " [83 'highschool_rate' 5621.86482539502 -0.3333526359192547]\n",
      " [84 'XI_50' 5621.8648246405855 -0.33335339035329525]\n",
      " [85 'VI_1000' 5621.864741492146 -0.33343653879273916]\n",
      " [86 'IV_index_1000' 5621.531511202432 -0.6666668285070045]\n",
      " [87 'VI_index_1000' 5621.531509417956 -0.6666686129829031]\n",
      " [88 'XIII_index_500' 5621.531509084193 -0.6666689467456308]\n",
      " [89 'IX_index_50' 5621.531508183839 -0.6666698470999108]\n",
      " [90 'N_10000' 5621.531482596852 -0.6666954340871598]\n",
      " [91 'IX_100' 5621.531387192493 -0.6667908384461043]\n",
      " [92 'IX_50' 5621.198168296532 -1.0000097344072856]\n",
      " [93 'IV_100' 5621.198167265143 -1.0000107657961053]\n",
      " [94 'divorce_rate' 5621.198167083848 -1.0000109470911411]\n",
      " [95 'V_100' 5621.198148743951 -1.0000292869881378]\n",
      " [96 'VIII_10' 5621.19813018365 -1.0000478472884424]\n",
      " [97 'I_100' 5620.864837552042 -1.333340478896389]\n",
      " [98 'XIII_250' 5620.8647407297685 -1.3334373011703065]\n",
      " [99 'I_250' 5620.531461415718 -1.6667166152210484]\n",
      " [100 'III_100' 5620.53145815384 -1.66671987709924]\n",
      " [101 'born_rate' 5620.531385941308 -1.6667920896306896]\n",
      " [102 'marriage_rate' 5620.53134311472 -1.666834916219159]\n",
      " [103 'II_50' 5619.864819097739 -2.3333589331996336]\n",
      " [104 'II_100' 5619.864778974959 -2.3333990559794984]\n",
      " [105 'XII_10' 5619.531444468317 -2.66673356262163]\n",
      " [106 'I_500' 5619.531407450009 -2.666770580929551]\n",
      " [107 'XIV_50' 5619.531388782321 -2.6667892486175333]\n",
      " [108 'master_rate' 5619.531272692548 -2.6669053383911887]\n",
      " [109 'X_250' 5618.864764033228 -3.3334139977105224]\n",
      " [110 'XIV_500' 5618.864342534441 -3.333835496498068]\n",
      " [111 'N_1000' 5618.5314016435705 -3.6667763873683725]\n",
      " [112 'XIV_100' 5618.198078681879 -4.000099349059383]\n",
      " [113 'VI_500' 5617.864809473198 -4.333368557740869]\n",
      " [114 'X_500' 5617.864726828452 -4.333451202486685]\n",
      " [115 'city' 5617.864698539542 -4.333479491397156]\n",
      " [116 'XI_500' 5617.864693553082 -4.333484477856473]\n",
      " [117 'VIII_10000' 5617.864476874784 -4.333701156155257]\n",
      " [118 'year_txn_dt' 5617.198076597517 -5.00010143342206]\n",
      " [119 'XII_100' 5616.531285457609 -5.666892573330188]\n",
      " [120 'VIII_50' 5616.53116159374 -5.667016437198981]\n",
      " [121 'IV_10000' 5616.530933752427 -5.667244278512044]\n",
      " [122 'XIII_1000' 5616.197948489258 -6.00022954168071]\n",
      " [123 'VII_50' 5615.8646565703775 -6.333521460561315]\n",
      " [124 'III_50' 5615.864578851782 -6.333599179156408]\n",
      " [125 'XIII_MIN' 5615.863864117387 -6.334313913552251]\n",
      " [126 'III_1000' 5615.531154151915 -6.667023879023873]\n",
      " [127 'III_250' 5615.197972289937 -7.0002057410019916]\n",
      " [128 'day_in_year_txn_dt' 5615.197717352678 -7.000460678260424]\n",
      " [129 'I_MIN' 5615.197507615765 -7.000670415173772]\n",
      " [130 'XIII_500' 5614.864782368149 -7.333395662790281]\n",
      " [131 'VIII_5000' 5614.8644260795345 -7.333751951404338]\n",
      " [132 'XI_250' 5614.198012659142 -8.000165371797266]\n",
      " [133 'V_500' 5613.864522148127 -8.3336558828114]\n",
      " [134 'VII_100' 5612.864621499438 -9.333556531501017]\n",
      " [135 'XIV_250' 5612.864507258238 -9.333670772701225]\n",
      " [136 'X_10000' 5612.864422917592 -9.333755113347252]\n",
      " [137 'IX_250' 5612.197943092059 -10.000234938879657]\n",
      " [138 'XII_50' 5611.864716116007 -10.333461914931831]\n",
      " [139 'II_250' 5611.531204761585 -10.666973269353548]\n",
      " [140 'VIII_100' 5611.197489161718 -11.00068886922054]\n",
      " [141 'X_1000' 5611.1974761152305 -11.000701915708305]\n",
      " [142 'IV_1000' 5610.197780795169 -12.000397235769924]\n",
      " [143 'III_500' 5609.864625882866 -12.333552148073068]\n",
      " [144 'XI_5000' 5609.531155381643 -12.667022649296086]\n",
      " [145 'IV_5000' 5609.197706033 -13.000471997938803]\n",
      " [146 'V_10000' 5608.863958777308 -13.33421925363109]\n",
      " [147 'V_1000' 5607.8641919474585 -14.33398608348034]\n",
      " [148 'III_10000' 5607.530979468943 -14.667198561995974]\n",
      " [149 'dow_building_complete_dt' 5606.197844315274 -16.000333715664965]\n",
      " [150 'XII_250' 5605.197587606141 -17.000590424798247]\n",
      " [151 'XI_MIN' 5605.197241903549 -17.00093612738965]\n",
      " [152 'day_in_year_building_complete_dt' 5604.864328657757\n",
      "  -17.333849373181692]\n",
      " [153 'N_50' 5604.864254293628 -17.333923737311125]\n",
      " [154 'II_10000' 5604.197652440472 -18.000525590467078]\n",
      " [155 'town_population_density' 5604.197294140048 -18.00088389089069]\n",
      " [156 'I_1000' 5603.864588842937 -18.333589188001497]\n",
      " [157 'VI_MIN' 5603.53101436155 -18.667163669389083]\n",
      " [158 'V_250' 5601.531167299079 -20.66701073185959]\n",
      " [159 'XIV_1000' 5601.530968850023 -20.66720918091596]\n",
      " [160 'IX_5000' 5601.197334561381 -21.000843469558276]\n",
      " [161 'IV_MIN' 5600.530704017255 -21.667474013684114]\n",
      " [162 'VIII_250' 5599.530753235061 -22.667424795878105]\n",
      " [163 'XII_MIN' 5599.5306437465815 -22.667534284357316]\n",
      " [164 'V_MIN' 5599.530577663364 -22.667600367574778]\n",
      " [165 'XIV_10000' 5598.86407014491 -23.334107886028505]\n",
      " [166 'X_5000' 5598.864031025256 -23.334147005683008]\n",
      " [167 'XII_5000' 5598.863995332543 -23.334182698396035]\n",
      " [168 'XII_10000' 5598.863356083537 -23.334821947401906]\n",
      " [169 'I_5000' 5598.53071497216 -23.667463058778594]\n",
      " [170 'XIV_MIN' 5597.86421636445 -24.333961666488904]\n",
      " [171 'building_material' 5595.530271387529 -26.66790664340988]\n",
      " [172 'V_5000' 5594.530518116678 -27.667659914261094]\n",
      " [173 'jobschool_rate' 5593.530484047071 -28.66769398386805]\n",
      " [174 'III_MIN' 5592.863624962647 -29.334553068291825]\n",
      " [175 'XII_500' 5591.53040742391 -30.667770607028615]\n",
      " [176 'year_building_complete_dt' 5589.530696041135 -32.66748198980349]\n",
      " [177 'II_500' 5587.863983647695 -34.33419438324381]\n",
      " [178 'IX_MIN' 5586.8635834057395 -35.334594625199315]\n",
      " [179 'VII_MIN' 5583.863423356696 -38.334754674242504]\n",
      " [180 'IX_500' 5582.530697048016 -39.667480982922825]\n",
      " [181 'X_MIN' 5578.530269768843 -43.66790826209581]\n",
      " [182 'VIII_MIN' 5577.196328425532 -45.00184960540719]\n",
      " [183 'II_MIN' 5576.5303291046175 -45.66784892632131]\n",
      " [184 'parking_area' 5575.863981489092 -46.33419654184672]\n",
      " [185 'VII_250' 5568.863312305902 -53.33486572503716]\n",
      " [186 'XI_10000' 5565.196938375314 -57.001239655624886]\n",
      " [187 'VIII_500' 5565.196360754413 -57.0018172765258]\n",
      " [188 'IX_10000' 5559.863079351134 -62.335098679805014]\n",
      " [189 'XII_1000' 5555.861277713025 -66.33690031791411]\n",
      " [190 'II_5000' 5554.529612748928 -67.6685652820106]\n",
      " [191 'VIII_1000' 5552.528801637586 -69.66937639335265]\n",
      " [192 'I_10000' 5552.195918917966 -70.00225911297275]\n",
      " [193 'building_use' 5551.863240052596 -70.33493797834308]\n",
      " [194 'II_1000' 5550.8632751184 -71.33490291253838]\n",
      " [195 'lat' 5548.195735547498 -74.00244248344097]\n",
      " [196 'town_area' 5546.863413065827 -75.33476496511139]\n",
      " [197 'IX_1000' 5543.529731298494 -78.66844673244486]\n",
      " [198 'town_population' 5534.529431426497 -87.66874660444228]\n",
      " [199 'XIV_5000' 5530.195400799971 -92.0027772309677]\n",
      " [200 'VI_5000' 5529.529661134373 -92.66851689656596]\n",
      " [201 'VII_5000' 5489.192328577916 -133.00584945302307]\n",
      " [202 'VII_500' 5479.195106489623 -143.00307154131588]\n",
      " [203 'dt_diff_building_complete_dt_txn_dt' 5473.527995237918\n",
      "  -148.670182793021]\n",
      " [204 'parking_way' 5414.860609073895 -207.3375689570439]\n",
      " [205 'XI_1000' 5413.860127530227 -208.3380505007117]\n",
      " [206 'lon' 5359.52438828603 -262.6737897449084]\n",
      " [207 'XIII_5000' 5358.859125160594 -263.33905287034486]\n",
      " [208 'VII_1000' 5351.525141243876 -270.6730367870632]\n",
      " [209 'parking_price' 5347.8579148569925 -274.34026317394637]\n",
      " [210 'building_type' 5194.189481779747 -428.0086962511914]\n",
      " [211 'building_area' 5141.185881611057 -481.01229641988175]\n",
      " [212 'doc_rate' 5066.519451777339 -555.6787262536]\n",
      " [213 'height_r' 5062.5160344555725 -559.6821435753664]\n",
      " [214 'total_floor' 5059.5205817158485 -562.6775963150903]\n",
      " [215 'village_income_median' 5056.850387576144 -565.3477904547944]\n",
      " [216 'land_area' 4998.171811431191 -624.0263665997481]\n",
      " [217 'VII_10000' 4986.851096755869 -635.3470812750702]\n",
      " [218 'building_per_land_area' 4860.836611237709 -761.3615667932299]\n",
      " [219 'village' 4520.5029730664755 -1101.6952049644633]\n",
      " [220 'VI_10000' 4487.167889170521 -1135.0302888604174]\n",
      " [221 'txn_floor' 4484.822064796797 -1137.3761132341415]\n",
      " [222 'txn_dt' 3960.1288245917262 -1662.0693534392126]\n",
      " [223 'building_complete_dt' 3580.4252353295924 -2041.7729427013464]\n",
      " [224 'XIII_10000' 2789.57515375094 -2832.623024279999]\n",
      " [225 'town' 1915.9647875459523 -3706.2333904849866]]\n",
      "85\n",
      "['dow_txn_dt', 'X_100', 'N_500', 'VI_250', 'death_rate', 'elementary_rate', 'V_50', 'XI_index_1000', 'VI_index_500', 'XIV_10', 'V_10', 'IV_500', 'IV_250', 'III_5000', 'month_txn_dt', 'III_index_50', 'XIII_index_50', 'XII_index_50', 'I_index_1000', 'X_index_1000', 'II_index_50', 'II_10', 'VI_index_50', 'XIII_index_1000', 'XIII_index_10000', 'XIV_index_50', 'X_50', 'VII_10', 'VII_index_500', 'V_index_500', 'III_10', 'X_index_500', 'IX_index_1000', 'quarter_txn_dt', 'I_10', 'III_index_500', 'XIII_index_5000', 'XII_index_500', 'VII_index_1000', 'bachelor_rate', 'IX_index_500', 'month_building_complete_dt', 'XI_index_10000', 'XIV_index_1000', 'XII_index_1000', 'IX_index_5000', 'top_floor', 'XI_index_5000', 'VIII_index_1000', 'VI_50', 'VI_10', 'XIV_index_500', 'X_10', 'III_index_1000', 'XI_10', 'XI_index_500', 'XI_index_50', 'X_index_50', 'IV_index_50', 'XIII_10', 'VII_index_50', 'VIII_index_500', 'VIII_index_50', 'IV_index_5000', 'I_index_50', 'VI_100', 'V_index_50', 'V_index_1000', 'XIII_100', 'XI_100', 'junior_rate', 'IX_10', 'II_index_500', 'IV_index_500', 'quarter_building_complete_dt', 'II_index_1000', 'I_50', 'I_index_500', 'N_5000', 'IV_10', 'IV_50', 'XIII_50', 'highschool_rate', 'XI_50', 'VI_1000']\n"
     ]
    }
   ],
   "source": [
    "# PARS #\n",
    "N_feats_rm = 85\n",
    "# PARS #\n",
    "\n",
    "from vars_03 import shuffle_results_per_area_new, score_base_per_area_new\n",
    "\n",
    "feat_imp = pd.DataFrame({'feats': shuffle_results_per_area_new[:,0],\n",
    "                         'avg':shuffle_results_per_area_new[:,1]})\n",
    "feat_imp['diff'] = feat_imp['avg'] - score_base_per_area_new\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)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "N feats (before): 221\n",
      "N feats (after): 141\n",
      "['II_500', 'II_50', 'parking_area', 'III_500', 'XIII_5000', 'XIV_500', 'height_r', 'land_area', 'III_10000', 'VI_index_1000', 'IV_10000', 'II_250', 'XI_MIN', 'XIII_MIN', 'day_in_year_txn_dt', 'lon', 'VII_MIN', 'village_income_median', 'V_500', 'VII_5000', 'X_1000', 'N_1000', 'XIII_1000', 'IX_index_50', 'parking_way', 'year_building_complete_dt', 'XIII_10000', 'XIII_index_500', 'I_500', 'III_250', 'VI_5000', 'XIV_50', 'III_MIN', 'XII_250', 'XII_MIN', 'XIV_10000', 'IX_250', 'XIV_MIN', 'VIII_50', 'V_250', 'II_5000', 'XI_1000', 'txn_floor', 'town_population_density', 'XI_5000', 'IX_500', 'VII_250', 'XI_10000', 'IV_index_1000', 'txn_dt', 'VIII_100', 'encoded_latlon', 'parking_price', 'IX_10000', 'X_5000', 'I_250', 'VI_10000', 'town_population', 'V_10000', 'born_rate', 'VII_1000', 'X_MIN', 'XIV_100', 'divorce_rate', 'X_250', 'XIII_500', 'lat', 'IX_100', 'I_1000', 'building_per_land_area', 'XII_50', 'building_use', 'IV_1000', 'VII_50', 'N_10000', 'XIV_250', 'dow_building_complete_dt', 'XII_5000', 'V_5000', 'IX_1000', 'IX_MIN', 'IV_MIN', 'VII_500', 'VIII_500', 'village', 'doc_rate', 'VI_500', 'XII_10000', 'town', 'VII_10000', 'XII_100', 'II_1000', 'VIII_1000', 'XIV_5000', 'I_10000', 'X_10000', 'marriage_rate', 'VIII_250', 'building_complete_dt', 'VIII_10000', 'IX_5000', 'III_1000', 'city', 'XII_1000', 'town_area', 'XII_10', 'N_50', 'IV_100', 'VIII_MIN', 'building_area', 'total_floor', 'dt_diff_building_complete_dt_txn_dt', 'III_100', 'II_MIN', 'VI_MIN', 'I_MIN', 'I_5000', 'IX_50', 'jobschool_rate', 'day_in_year_building_complete_dt', 'III_50', 'V_100', 'XII_500', 'VII_100', 'VIII_5000', 'IV_5000', 'master_rate', 'V_1000', 'V_MIN', 'XIII_250', 'II_10000', 'XI_250', 'I_100', 'XIV_1000', 'X_500', 'building_material', 'VIII_10', 'II_100', 'XI_500', 'year_txn_dt', 'building_type']\n"
     ]
    }
   ],
   "source": [
    "print('N feats (before):', len(cols_feats))\n",
    "cols_feats = list(set(cols_feats) - set(feats_rm))\n",
    "print('N feats (after):', len(cols_feats))\n",
    "print(cols_feats)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Params"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "# params\n",
    "# parameters from model 10: 24, 300, 0.5, 10, 0.1, 0.0\n",
    "# parameters from model 5: 24, 258, 0.4, 6, 0.04, 0.02\n",
    "params = {'task': 'train',\n",
    "          'boosting_type': 'gbdt',\n",
    "          'objective': 'mse',\n",
    "          'metric': 'mape',\n",
    "          'learning_rate': 0.0005, # 0.001\n",
    "          'max_depth': 26,\n",
    "          'num_leaves': 350,  # 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': 1011,\n",
    "         }\n",
    "\n",
    "lgb_other_params = {'num_boost_round': 1000000,  # expected to stop 250000\n",
    "                    'verbose_eval': 2000,\n",
    "                    'early_stopping_rounds': 1000,}\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### kfold cross-predict"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Training until validation scores don't improve for 1000 rounds.\n",
      "[2000]\tvalid_0's mape: 0.026089\n",
      "[4000]\tvalid_0's mape: 0.0152771\n",
      "[6000]\tvalid_0's mape: 0.0121344\n",
      "[8000]\tvalid_0's mape: 0.0110894\n",
      "[10000]\tvalid_0's mape: 0.0105996\n",
      "[12000]\tvalid_0's mape: 0.0103141\n",
      "[14000]\tvalid_0's mape: 0.0101139\n",
      "[16000]\tvalid_0's mape: 0.00995786\n",
      "[18000]\tvalid_0's mape: 0.00983304\n",
      "[20000]\tvalid_0's mape: 0.00973477\n",
      "[22000]\tvalid_0's mape: 0.00965611\n",
      "[24000]\tvalid_0's mape: 0.0095911\n",
      "[26000]\tvalid_0's mape: 0.00953752\n",
      "[28000]\tvalid_0's mape: 0.00949269\n",
      "[30000]\tvalid_0's mape: 0.00945467\n",
      "[32000]\tvalid_0's mape: 0.0094219\n",
      "[34000]\tvalid_0's mape: 0.00939329\n",
      "[36000]\tvalid_0's mape: 0.00936822\n",
      "[38000]\tvalid_0's mape: 0.00934549\n",
      "[40000]\tvalid_0's mape: 0.00932418\n",
      "[42000]\tvalid_0's mape: 0.00930537\n",
      "[44000]\tvalid_0's mape: 0.00928857\n",
      "[46000]\tvalid_0's mape: 0.00927336\n",
      "[48000]\tvalid_0's mape: 0.00925935\n",
      "[50000]\tvalid_0's mape: 0.00924662\n",
      "[52000]\tvalid_0's mape: 0.00923487\n",
      "[54000]\tvalid_0's mape: 0.00922408\n",
      "[56000]\tvalid_0's mape: 0.00921438\n",
      "[58000]\tvalid_0's mape: 0.00920498\n",
      "[60000]\tvalid_0's mape: 0.00919659\n",
      "[62000]\tvalid_0's mape: 0.00918871\n",
      "[64000]\tvalid_0's mape: 0.00918086\n",
      "[66000]\tvalid_0's mape: 0.00917379\n",
      "[68000]\tvalid_0's mape: 0.00916745\n",
      "[70000]\tvalid_0's mape: 0.00916131\n",
      "[72000]\tvalid_0's mape: 0.00915537\n",
      "[74000]\tvalid_0's mape: 0.00914997\n",
      "[76000]\tvalid_0's mape: 0.00914508\n",
      "[78000]\tvalid_0's mape: 0.00914065\n",
      "[80000]\tvalid_0's mape: 0.00913644\n",
      "[82000]\tvalid_0's mape: 0.00913239\n",
      "[84000]\tvalid_0's mape: 0.00912868\n",
      "[86000]\tvalid_0's mape: 0.00912509\n",
      "[88000]\tvalid_0's mape: 0.00912171\n",
      "[90000]\tvalid_0's mape: 0.00911846\n",
      "[92000]\tvalid_0's mape: 0.00911531\n",
      "[94000]\tvalid_0's mape: 0.00911246\n",
      "[96000]\tvalid_0's mape: 0.00910983\n",
      "[98000]\tvalid_0's mape: 0.00910728\n",
      "[100000]\tvalid_0's mape: 0.00910496\n",
      "[102000]\tvalid_0's mape: 0.00910264\n",
      "[104000]\tvalid_0's mape: 0.00910046\n",
      "[106000]\tvalid_0's mape: 0.00909834\n",
      "[108000]\tvalid_0's mape: 0.0090963\n",
      "[110000]\tvalid_0's mape: 0.00909439\n",
      "[112000]\tvalid_0's mape: 0.00909256\n",
      "[114000]\tvalid_0's mape: 0.00909082\n",
      "[116000]\tvalid_0's mape: 0.00908919\n",
      "[118000]\tvalid_0's mape: 0.00908761\n",
      "[120000]\tvalid_0's mape: 0.00908612\n",
      "[122000]\tvalid_0's mape: 0.00908466\n",
      "[124000]\tvalid_0's mape: 0.00908324\n",
      "[126000]\tvalid_0's mape: 0.00908192\n",
      "[128000]\tvalid_0's mape: 0.00908059\n",
      "[130000]\tvalid_0's mape: 0.0090793\n",
      "[132000]\tvalid_0's mape: 0.0090781\n",
      "[134000]\tvalid_0's mape: 0.00907701\n",
      "[136000]\tvalid_0's mape: 0.00907599\n",
      "[138000]\tvalid_0's mape: 0.00907494\n",
      "[140000]\tvalid_0's mape: 0.009074\n",
      "[142000]\tvalid_0's mape: 0.00907304\n",
      "[144000]\tvalid_0's mape: 0.00907214\n",
      "[146000]\tvalid_0's mape: 0.0090713\n",
      "[148000]\tvalid_0's mape: 0.0090705\n",
      "[150000]\tvalid_0's mape: 0.00906974\n",
      "[152000]\tvalid_0's mape: 0.00906898\n",
      "[154000]\tvalid_0's mape: 0.00906823\n",
      "[156000]\tvalid_0's mape: 0.00906754\n",
      "[158000]\tvalid_0's mape: 0.00906687\n",
      "[160000]\tvalid_0's mape: 0.00906621\n",
      "[162000]\tvalid_0's mape: 0.00906553\n",
      "[164000]\tvalid_0's mape: 0.00906489\n",
      "[166000]\tvalid_0's mape: 0.00906431\n",
      "[168000]\tvalid_0's mape: 0.00906371\n",
      "[170000]\tvalid_0's mape: 0.00906313\n",
      "[172000]\tvalid_0's mape: 0.00906256\n",
      "[174000]\tvalid_0's mape: 0.00906203\n",
      "[176000]\tvalid_0's mape: 0.00906149\n",
      "[178000]\tvalid_0's mape: 0.00906098\n",
      "[180000]\tvalid_0's mape: 0.00906052\n",
      "[182000]\tvalid_0's mape: 0.00906014\n",
      "[184000]\tvalid_0's mape: 0.00905975\n",
      "[186000]\tvalid_0's mape: 0.00905936\n",
      "[188000]\tvalid_0's mape: 0.00905897\n",
      "[190000]\tvalid_0's mape: 0.00905857\n",
      "[192000]\tvalid_0's mape: 0.00905819\n",
      "[194000]\tvalid_0's mape: 0.00905787\n",
      "[196000]\tvalid_0's mape: 0.00905751\n",
      "[198000]\tvalid_0's mape: 0.00905718\n",
      "[200000]\tvalid_0's mape: 0.00905683\n",
      "[202000]\tvalid_0's mape: 0.0090565\n",
      "[204000]\tvalid_0's mape: 0.00905618\n",
      "[206000]\tvalid_0's mape: 0.00905588\n",
      "[208000]\tvalid_0's mape: 0.0090556\n",
      "[210000]\tvalid_0's mape: 0.00905535\n",
      "[212000]\tvalid_0's mape: 0.00905507\n",
      "[214000]\tvalid_0's mape: 0.00905481\n",
      "[216000]\tvalid_0's mape: 0.00905455\n",
      "[218000]\tvalid_0's mape: 0.00905432\n",
      "[220000]\tvalid_0's mape: 0.00905408\n",
      "[222000]\tvalid_0's mape: 0.00905384\n",
      "[224000]\tvalid_0's mape: 0.00905359\n",
      "[226000]\tvalid_0's mape: 0.00905339\n",
      "[228000]\tvalid_0's mape: 0.0090532\n",
      "[230000]\tvalid_0's mape: 0.00905299\n",
      "[232000]\tvalid_0's mape: 0.00905279\n",
      "[234000]\tvalid_0's mape: 0.00905259\n",
      "[236000]\tvalid_0's mape: 0.00905243\n",
      "[238000]\tvalid_0's mape: 0.00905226\n",
      "[240000]\tvalid_0's mape: 0.0090521\n",
      "[242000]\tvalid_0's mape: 0.00905193\n",
      "[244000]\tvalid_0's mape: 0.00905175\n",
      "[246000]\tvalid_0's mape: 0.0090516\n",
      "[248000]\tvalid_0's mape: 0.00905144\n",
      "[250000]\tvalid_0's mape: 0.00905129\n",
      "[252000]\tvalid_0's mape: 0.00905115\n",
      "[254000]\tvalid_0's mape: 0.00905102\n",
      "[256000]\tvalid_0's mape: 0.00905089\n",
      "[258000]\tvalid_0's mape: 0.00905076\n",
      "[260000]\tvalid_0's mape: 0.00905062\n",
      "[262000]\tvalid_0's mape: 0.00905051\n",
      "[264000]\tvalid_0's mape: 0.00905038\n",
      "[266000]\tvalid_0's mape: 0.00905026\n",
      "[268000]\tvalid_0's mape: 0.00905013\n",
      "[270000]\tvalid_0's mape: 0.00905002\n",
      "[272000]\tvalid_0's mape: 0.00904991\n",
      "[274000]\tvalid_0's mape: 0.0090498\n",
      "[276000]\tvalid_0's mape: 0.00904969\n",
      "[278000]\tvalid_0's mape: 0.00904958\n",
      "[280000]\tvalid_0's mape: 0.00904949\n",
      "[282000]\tvalid_0's mape: 0.00904939\n",
      "[284000]\tvalid_0's mape: 0.00904931\n",
      "[286000]\tvalid_0's mape: 0.00904922\n",
      "[288000]\tvalid_0's mape: 0.00904913\n",
      "[290000]\tvalid_0's mape: 0.00904904\n",
      "[292000]\tvalid_0's mape: 0.00904896\n",
      "[294000]\tvalid_0's mape: 0.00904887\n",
      "[296000]\tvalid_0's mape: 0.00904881\n",
      "[298000]\tvalid_0's mape: 0.00904873\n",
      "[300000]\tvalid_0's mape: 0.00904867\n",
      "[302000]\tvalid_0's mape: 0.00904861\n",
      "[304000]\tvalid_0's mape: 0.00904855\n",
      "[306000]\tvalid_0's mape: 0.00904848\n",
      "[308000]\tvalid_0's mape: 0.00904843\n",
      "[310000]\tvalid_0's mape: 0.00904842\n",
      "Early stopping, best iteration is:\n",
      "[310507]\tvalid_0's mape: 0.00904842\n",
      "(Fold 0) score, mse, mae, mape: 5849.87624, 0.03547, 0.12038, 0.00905.\n",
      "Training until validation scores don't improve for 1000 rounds.\n",
      "[2000]\tvalid_0's mape: 0.0262791\n",
      "[4000]\tvalid_0's mape: 0.0155052\n",
      "[6000]\tvalid_0's mape: 0.0123568\n",
      "[8000]\tvalid_0's mape: 0.0112929\n",
      "[10000]\tvalid_0's mape: 0.0107957\n",
      "[12000]\tvalid_0's mape: 0.010505\n",
      "[14000]\tvalid_0's mape: 0.0103054\n",
      "[16000]\tvalid_0's mape: 0.0101534\n",
      "[18000]\tvalid_0's mape: 0.0100304\n",
      "[20000]\tvalid_0's mape: 0.00993364\n",
      "[22000]\tvalid_0's mape: 0.00985666\n",
      "[24000]\tvalid_0's mape: 0.00979377\n",
      "[26000]\tvalid_0's mape: 0.00974241\n",
      "[28000]\tvalid_0's mape: 0.00969889\n",
      "[30000]\tvalid_0's mape: 0.00966132\n",
      "[32000]\tvalid_0's mape: 0.00962913\n",
      "[34000]\tvalid_0's mape: 0.00960051\n",
      "[36000]\tvalid_0's mape: 0.00957522\n",
      "[38000]\tvalid_0's mape: 0.00955194\n",
      "[40000]\tvalid_0's mape: 0.00953053\n",
      "[42000]\tvalid_0's mape: 0.00951129\n",
      "[44000]\tvalid_0's mape: 0.00949387\n",
      "[46000]\tvalid_0's mape: 0.00947752\n",
      "[48000]\tvalid_0's mape: 0.00946214\n",
      "[50000]\tvalid_0's mape: 0.00944798\n",
      "[52000]\tvalid_0's mape: 0.00943501\n",
      "[54000]\tvalid_0's mape: 0.00942279\n",
      "[56000]\tvalid_0's mape: 0.00941211\n",
      "[58000]\tvalid_0's mape: 0.00940198\n",
      "[60000]\tvalid_0's mape: 0.00939244\n",
      "[62000]\tvalid_0's mape: 0.00938366\n",
      "[64000]\tvalid_0's mape: 0.00937536\n",
      "[66000]\tvalid_0's mape: 0.0093675\n",
      "[68000]\tvalid_0's mape: 0.00936031\n",
      "[70000]\tvalid_0's mape: 0.00935363\n",
      "[72000]\tvalid_0's mape: 0.00934735\n",
      "[74000]\tvalid_0's mape: 0.00934136\n",
      "[76000]\tvalid_0's mape: 0.00933589\n",
      "[78000]\tvalid_0's mape: 0.00933071\n",
      "[80000]\tvalid_0's mape: 0.0093256\n",
      "[82000]\tvalid_0's mape: 0.00932058\n",
      "[84000]\tvalid_0's mape: 0.00931603\n",
      "[86000]\tvalid_0's mape: 0.00931176\n",
      "[88000]\tvalid_0's mape: 0.00930763\n",
      "[90000]\tvalid_0's mape: 0.00930386\n",
      "[92000]\tvalid_0's mape: 0.00930024\n",
      "[94000]\tvalid_0's mape: 0.00929673\n",
      "[96000]\tvalid_0's mape: 0.00929358\n",
      "[98000]\tvalid_0's mape: 0.00929057\n",
      "[100000]\tvalid_0's mape: 0.00928767\n",
      "[102000]\tvalid_0's mape: 0.00928504\n",
      "[104000]\tvalid_0's mape: 0.0092824\n",
      "[106000]\tvalid_0's mape: 0.00927982\n",
      "[108000]\tvalid_0's mape: 0.00927745\n",
      "[110000]\tvalid_0's mape: 0.00927523\n",
      "[112000]\tvalid_0's mape: 0.00927303\n",
      "[114000]\tvalid_0's mape: 0.00927107\n",
      "[116000]\tvalid_0's mape: 0.00926912\n",
      "[118000]\tvalid_0's mape: 0.00926724\n",
      "[120000]\tvalid_0's mape: 0.00926541\n",
      "[122000]\tvalid_0's mape: 0.00926369\n",
      "[124000]\tvalid_0's mape: 0.00926202\n",
      "[126000]\tvalid_0's mape: 0.00926048\n",
      "[128000]\tvalid_0's mape: 0.00925895\n",
      "[130000]\tvalid_0's mape: 0.00925742\n",
      "[132000]\tvalid_0's mape: 0.00925608\n",
      "[134000]\tvalid_0's mape: 0.00925474\n",
      "[136000]\tvalid_0's mape: 0.00925346\n",
      "[138000]\tvalid_0's mape: 0.00925225\n",
      "[140000]\tvalid_0's mape: 0.00925116\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[142000]\tvalid_0's mape: 0.00925012\n",
      "[144000]\tvalid_0's mape: 0.0092491\n",
      "[146000]\tvalid_0's mape: 0.00924803\n",
      "[148000]\tvalid_0's mape: 0.00924696\n",
      "[150000]\tvalid_0's mape: 0.00924592\n",
      "[152000]\tvalid_0's mape: 0.00924493\n",
      "[154000]\tvalid_0's mape: 0.00924407\n",
      "[156000]\tvalid_0's mape: 0.00924321\n",
      "[158000]\tvalid_0's mape: 0.00924245\n",
      "[160000]\tvalid_0's mape: 0.0092417\n",
      "[162000]\tvalid_0's mape: 0.0092409\n",
      "[164000]\tvalid_0's mape: 0.00924014\n",
      "[166000]\tvalid_0's mape: 0.00923945\n",
      "[168000]\tvalid_0's mape: 0.00923879\n",
      "[170000]\tvalid_0's mape: 0.00923816\n",
      "[172000]\tvalid_0's mape: 0.00923757\n",
      "[174000]\tvalid_0's mape: 0.00923695\n",
      "[176000]\tvalid_0's mape: 0.00923635\n",
      "[178000]\tvalid_0's mape: 0.0092358\n",
      "[180000]\tvalid_0's mape: 0.00923523\n",
      "[182000]\tvalid_0's mape: 0.00923473\n",
      "[184000]\tvalid_0's mape: 0.00923425\n",
      "[186000]\tvalid_0's mape: 0.0092338\n",
      "[188000]\tvalid_0's mape: 0.00923333\n",
      "[190000]\tvalid_0's mape: 0.00923284\n",
      "[192000]\tvalid_0's mape: 0.00923237\n",
      "[194000]\tvalid_0's mape: 0.00923195\n",
      "[196000]\tvalid_0's mape: 0.00923151\n",
      "[198000]\tvalid_0's mape: 0.00923113\n",
      "[200000]\tvalid_0's mape: 0.00923077\n",
      "[202000]\tvalid_0's mape: 0.00923038\n",
      "[204000]\tvalid_0's mape: 0.00923003\n",
      "[206000]\tvalid_0's mape: 0.00922966\n",
      "[208000]\tvalid_0's mape: 0.00922934\n",
      "[210000]\tvalid_0's mape: 0.00922904\n",
      "[212000]\tvalid_0's mape: 0.00922873\n",
      "[214000]\tvalid_0's mape: 0.0092284\n",
      "[216000]\tvalid_0's mape: 0.0092281\n",
      "[218000]\tvalid_0's mape: 0.00922782\n",
      "[220000]\tvalid_0's mape: 0.00922757\n",
      "[222000]\tvalid_0's mape: 0.00922729\n",
      "[224000]\tvalid_0's mape: 0.00922704\n",
      "[226000]\tvalid_0's mape: 0.00922676\n",
      "[228000]\tvalid_0's mape: 0.00922651\n",
      "[230000]\tvalid_0's mape: 0.00922626\n",
      "[232000]\tvalid_0's mape: 0.00922606\n",
      "[234000]\tvalid_0's mape: 0.00922583\n",
      "[236000]\tvalid_0's mape: 0.00922562\n",
      "[238000]\tvalid_0's mape: 0.00922541\n",
      "[240000]\tvalid_0's mape: 0.00922521\n",
      "[242000]\tvalid_0's mape: 0.009225\n",
      "[244000]\tvalid_0's mape: 0.0092248\n",
      "[246000]\tvalid_0's mape: 0.00922462\n",
      "[248000]\tvalid_0's mape: 0.00922443\n",
      "[250000]\tvalid_0's mape: 0.00922425\n",
      "[252000]\tvalid_0's mape: 0.00922406\n",
      "[254000]\tvalid_0's mape: 0.00922388\n",
      "[256000]\tvalid_0's mape: 0.0092237\n",
      "[258000]\tvalid_0's mape: 0.00922355\n",
      "[260000]\tvalid_0's mape: 0.00922341\n",
      "[262000]\tvalid_0's mape: 0.00922326\n",
      "[264000]\tvalid_0's mape: 0.00922309\n",
      "[266000]\tvalid_0's mape: 0.00922295\n",
      "[268000]\tvalid_0's mape: 0.00922282\n",
      "[270000]\tvalid_0's mape: 0.0092227\n",
      "[272000]\tvalid_0's mape: 0.00922258\n",
      "[274000]\tvalid_0's mape: 0.00922248\n",
      "[276000]\tvalid_0's mape: 0.00922236\n",
      "[278000]\tvalid_0's mape: 0.00922225\n",
      "[280000]\tvalid_0's mape: 0.00922215\n",
      "[282000]\tvalid_0's mape: 0.00922204\n",
      "[284000]\tvalid_0's mape: 0.00922193\n",
      "[286000]\tvalid_0's mape: 0.00922182\n",
      "[288000]\tvalid_0's mape: 0.00922173\n",
      "[290000]\tvalid_0's mape: 0.00922163\n",
      "[292000]\tvalid_0's mape: 0.00922154\n",
      "[294000]\tvalid_0's mape: 0.00922146\n",
      "[296000]\tvalid_0's mape: 0.00922137\n",
      "[298000]\tvalid_0's mape: 0.00922129\n",
      "[300000]\tvalid_0's mape: 0.00922119\n",
      "[302000]\tvalid_0's mape: 0.00922112\n",
      "[304000]\tvalid_0's mape: 0.00922103\n",
      "[306000]\tvalid_0's mape: 0.00922097\n",
      "[308000]\tvalid_0's mape: 0.00922094\n",
      "Early stopping, best iteration is:\n",
      "[307674]\tvalid_0's mape: 0.00922094\n",
      "(Fold 1) score, mse, mae, mape: 5937.87306, 0.03926, 0.12281, 0.00922.\n",
      "Training until validation scores don't improve for 1000 rounds.\n",
      "[2000]\tvalid_0's mape: 0.0259305\n",
      "[4000]\tvalid_0's mape: 0.0152143\n",
      "[6000]\tvalid_0's mape: 0.0121281\n",
      "[8000]\tvalid_0's mape: 0.0111124\n",
      "[10000]\tvalid_0's mape: 0.0106477\n",
      "[12000]\tvalid_0's mape: 0.0103774\n",
      "[14000]\tvalid_0's mape: 0.010192\n",
      "[16000]\tvalid_0's mape: 0.0100485\n",
      "[18000]\tvalid_0's mape: 0.00993174\n",
      "[20000]\tvalid_0's mape: 0.00983921\n",
      "[22000]\tvalid_0's mape: 0.00976495\n",
      "[24000]\tvalid_0's mape: 0.00970463\n",
      "[26000]\tvalid_0's mape: 0.00965443\n",
      "[28000]\tvalid_0's mape: 0.00961273\n",
      "[30000]\tvalid_0's mape: 0.00957651\n",
      "[32000]\tvalid_0's mape: 0.00954529\n",
      "[34000]\tvalid_0's mape: 0.00951823\n",
      "[36000]\tvalid_0's mape: 0.00949427\n",
      "[38000]\tvalid_0's mape: 0.00947223\n",
      "[40000]\tvalid_0's mape: 0.0094518\n",
      "[42000]\tvalid_0's mape: 0.00943287\n",
      "[44000]\tvalid_0's mape: 0.00941589\n",
      "[46000]\tvalid_0's mape: 0.00940051\n",
      "[48000]\tvalid_0's mape: 0.00938623\n",
      "[50000]\tvalid_0's mape: 0.00937319\n",
      "[52000]\tvalid_0's mape: 0.00936122\n",
      "[54000]\tvalid_0's mape: 0.00935017\n",
      "[56000]\tvalid_0's mape: 0.00933958\n",
      "[58000]\tvalid_0's mape: 0.00932964\n",
      "[60000]\tvalid_0's mape: 0.00932032\n",
      "[62000]\tvalid_0's mape: 0.00931173\n",
      "[64000]\tvalid_0's mape: 0.00930379\n",
      "[66000]\tvalid_0's mape: 0.00929628\n",
      "[68000]\tvalid_0's mape: 0.00928909\n",
      "[70000]\tvalid_0's mape: 0.00928252\n",
      "[72000]\tvalid_0's mape: 0.00927637\n",
      "[74000]\tvalid_0's mape: 0.00927074\n",
      "[76000]\tvalid_0's mape: 0.00926529\n",
      "[78000]\tvalid_0's mape: 0.00926014\n",
      "[80000]\tvalid_0's mape: 0.00925517\n",
      "[82000]\tvalid_0's mape: 0.0092506\n",
      "[84000]\tvalid_0's mape: 0.00924631\n",
      "[86000]\tvalid_0's mape: 0.00924214\n",
      "[88000]\tvalid_0's mape: 0.00923822\n",
      "[90000]\tvalid_0's mape: 0.00923479\n",
      "[92000]\tvalid_0's mape: 0.00923149\n",
      "[94000]\tvalid_0's mape: 0.00922833\n",
      "[96000]\tvalid_0's mape: 0.0092253\n",
      "[98000]\tvalid_0's mape: 0.00922247\n",
      "[100000]\tvalid_0's mape: 0.0092198\n",
      "[102000]\tvalid_0's mape: 0.0092172\n",
      "[104000]\tvalid_0's mape: 0.00921468\n",
      "[106000]\tvalid_0's mape: 0.00921226\n",
      "[108000]\tvalid_0's mape: 0.00921001\n",
      "[110000]\tvalid_0's mape: 0.00920794\n",
      "[112000]\tvalid_0's mape: 0.0092059\n",
      "[114000]\tvalid_0's mape: 0.00920396\n",
      "[116000]\tvalid_0's mape: 0.00920211\n",
      "[118000]\tvalid_0's mape: 0.0092004\n",
      "[120000]\tvalid_0's mape: 0.00919871\n",
      "[122000]\tvalid_0's mape: 0.00919709\n",
      "[124000]\tvalid_0's mape: 0.00919555\n",
      "[126000]\tvalid_0's mape: 0.00919421\n",
      "[128000]\tvalid_0's mape: 0.00919286\n",
      "[130000]\tvalid_0's mape: 0.00919149\n",
      "[132000]\tvalid_0's mape: 0.00919025\n",
      "[134000]\tvalid_0's mape: 0.00918908\n",
      "[136000]\tvalid_0's mape: 0.00918793\n",
      "[138000]\tvalid_0's mape: 0.00918683\n",
      "[140000]\tvalid_0's mape: 0.00918575\n",
      "[142000]\tvalid_0's mape: 0.00918473\n",
      "[144000]\tvalid_0's mape: 0.00918373\n",
      "[146000]\tvalid_0's mape: 0.00918283\n",
      "[148000]\tvalid_0's mape: 0.00918195\n",
      "[150000]\tvalid_0's mape: 0.00918105\n",
      "[152000]\tvalid_0's mape: 0.00918019\n",
      "[154000]\tvalid_0's mape: 0.00917934\n",
      "[156000]\tvalid_0's mape: 0.00917855\n",
      "[158000]\tvalid_0's mape: 0.00917779\n",
      "[160000]\tvalid_0's mape: 0.00917704\n",
      "[162000]\tvalid_0's mape: 0.00917629\n",
      "[164000]\tvalid_0's mape: 0.00917566\n",
      "[166000]\tvalid_0's mape: 0.00917496\n",
      "[168000]\tvalid_0's mape: 0.00917431\n",
      "[170000]\tvalid_0's mape: 0.00917375\n",
      "[172000]\tvalid_0's mape: 0.00917316\n",
      "[174000]\tvalid_0's mape: 0.00917258\n",
      "[176000]\tvalid_0's mape: 0.00917202\n",
      "[178000]\tvalid_0's mape: 0.00917148\n",
      "[180000]\tvalid_0's mape: 0.009171\n",
      "[182000]\tvalid_0's mape: 0.00917055\n",
      "[184000]\tvalid_0's mape: 0.0091701\n",
      "[186000]\tvalid_0's mape: 0.00916967\n",
      "[188000]\tvalid_0's mape: 0.00916926\n",
      "[190000]\tvalid_0's mape: 0.00916887\n",
      "[192000]\tvalid_0's mape: 0.00916845\n",
      "[194000]\tvalid_0's mape: 0.00916805\n",
      "[196000]\tvalid_0's mape: 0.00916768\n",
      "[198000]\tvalid_0's mape: 0.00916735\n",
      "[200000]\tvalid_0's mape: 0.009167\n",
      "[202000]\tvalid_0's mape: 0.00916665\n",
      "[204000]\tvalid_0's mape: 0.00916632\n",
      "[206000]\tvalid_0's mape: 0.00916601\n",
      "[208000]\tvalid_0's mape: 0.00916572\n",
      "[210000]\tvalid_0's mape: 0.00916543\n",
      "[212000]\tvalid_0's mape: 0.00916512\n",
      "[214000]\tvalid_0's mape: 0.00916486\n",
      "[216000]\tvalid_0's mape: 0.00916456\n",
      "[218000]\tvalid_0's mape: 0.00916429\n",
      "[220000]\tvalid_0's mape: 0.00916403\n",
      "[222000]\tvalid_0's mape: 0.00916383\n",
      "[224000]\tvalid_0's mape: 0.00916362\n",
      "[226000]\tvalid_0's mape: 0.0091634\n",
      "[228000]\tvalid_0's mape: 0.00916319\n",
      "[230000]\tvalid_0's mape: 0.00916299\n",
      "[232000]\tvalid_0's mape: 0.00916279\n",
      "[234000]\tvalid_0's mape: 0.00916259\n",
      "[236000]\tvalid_0's mape: 0.00916242\n",
      "[238000]\tvalid_0's mape: 0.00916224\n",
      "[240000]\tvalid_0's mape: 0.00916207\n",
      "[242000]\tvalid_0's mape: 0.00916189\n",
      "[244000]\tvalid_0's mape: 0.00916171\n",
      "[246000]\tvalid_0's mape: 0.00916154\n",
      "[248000]\tvalid_0's mape: 0.00916137\n",
      "[250000]\tvalid_0's mape: 0.00916122\n",
      "[252000]\tvalid_0's mape: 0.00916106\n",
      "[254000]\tvalid_0's mape: 0.00916093\n",
      "[256000]\tvalid_0's mape: 0.00916079\n",
      "[258000]\tvalid_0's mape: 0.00916066\n",
      "[260000]\tvalid_0's mape: 0.00916052\n",
      "[262000]\tvalid_0's mape: 0.0091604\n",
      "[264000]\tvalid_0's mape: 0.00916027\n",
      "[266000]\tvalid_0's mape: 0.00916016\n",
      "[268000]\tvalid_0's mape: 0.00916003\n",
      "[270000]\tvalid_0's mape: 0.00915991\n",
      "[272000]\tvalid_0's mape: 0.00915979\n",
      "[274000]\tvalid_0's mape: 0.00915967\n",
      "[276000]\tvalid_0's mape: 0.00915956\n",
      "[278000]\tvalid_0's mape: 0.00915945\n",
      "[280000]\tvalid_0's mape: 0.00915935\n",
      "[282000]\tvalid_0's mape: 0.00915926\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[284000]\tvalid_0's mape: 0.00915917\n",
      "[286000]\tvalid_0's mape: 0.00915909\n",
      "[288000]\tvalid_0's mape: 0.00915902\n",
      "[290000]\tvalid_0's mape: 0.00915895\n",
      "[292000]\tvalid_0's mape: 0.00915887\n",
      "[294000]\tvalid_0's mape: 0.00915879\n",
      "[296000]\tvalid_0's mape: 0.00915871\n",
      "[298000]\tvalid_0's mape: 0.00915864\n",
      "[300000]\tvalid_0's mape: 0.00915859\n",
      "[302000]\tvalid_0's mape: 0.00915851\n",
      "[304000]\tvalid_0's mape: 0.00915844\n",
      "[306000]\tvalid_0's mape: 0.00915838\n",
      "[308000]\tvalid_0's mape: 0.00915832\n",
      "[310000]\tvalid_0's mape: 0.00915825\n",
      "[312000]\tvalid_0's mape: 0.00915819\n",
      "[314000]\tvalid_0's mape: 0.00915814\n",
      "[316000]\tvalid_0's mape: 0.0091581\n",
      "[318000]\tvalid_0's mape: 0.00915808\n",
      "Early stopping, best iteration is:\n",
      "[317111]\tvalid_0's mape: 0.00915808\n",
      "(Fold 2) score, mse, mae, mape: 5938.87151, 0.03845, 0.12180, 0.00916.\n",
      "Training until validation scores don't improve for 1000 rounds.\n",
      "[2000]\tvalid_0's mape: 0.0261435\n",
      "[4000]\tvalid_0's mape: 0.0152694\n",
      "[6000]\tvalid_0's mape: 0.0121911\n",
      "[8000]\tvalid_0's mape: 0.0112089\n",
      "[10000]\tvalid_0's mape: 0.0107641\n",
      "[12000]\tvalid_0's mape: 0.0105069\n",
      "[14000]\tvalid_0's mape: 0.0103195\n",
      "[16000]\tvalid_0's mape: 0.0101729\n",
      "[18000]\tvalid_0's mape: 0.0100561\n",
      "[20000]\tvalid_0's mape: 0.0099598\n",
      "[22000]\tvalid_0's mape: 0.00988151\n",
      "[24000]\tvalid_0's mape: 0.00981691\n",
      "[26000]\tvalid_0's mape: 0.00976409\n",
      "[28000]\tvalid_0's mape: 0.00971953\n",
      "[30000]\tvalid_0's mape: 0.00968044\n",
      "[32000]\tvalid_0's mape: 0.00964582\n",
      "[34000]\tvalid_0's mape: 0.0096152\n",
      "[36000]\tvalid_0's mape: 0.00958755\n",
      "[38000]\tvalid_0's mape: 0.0095625\n",
      "[40000]\tvalid_0's mape: 0.00953991\n",
      "[42000]\tvalid_0's mape: 0.00951873\n",
      "[44000]\tvalid_0's mape: 0.00949984\n",
      "[46000]\tvalid_0's mape: 0.00948236\n",
      "[48000]\tvalid_0's mape: 0.00946606\n",
      "[50000]\tvalid_0's mape: 0.00945157\n",
      "[52000]\tvalid_0's mape: 0.00943798\n",
      "[54000]\tvalid_0's mape: 0.00942535\n",
      "[56000]\tvalid_0's mape: 0.00941386\n",
      "[58000]\tvalid_0's mape: 0.00940304\n",
      "[60000]\tvalid_0's mape: 0.00939258\n",
      "[62000]\tvalid_0's mape: 0.00938292\n",
      "[64000]\tvalid_0's mape: 0.00937412\n",
      "[66000]\tvalid_0's mape: 0.00936607\n",
      "[68000]\tvalid_0's mape: 0.00935842\n",
      "[70000]\tvalid_0's mape: 0.00935176\n",
      "[72000]\tvalid_0's mape: 0.00934534\n",
      "[74000]\tvalid_0's mape: 0.00933923\n",
      "[76000]\tvalid_0's mape: 0.00933311\n",
      "[78000]\tvalid_0's mape: 0.00932752\n",
      "[80000]\tvalid_0's mape: 0.00932219\n",
      "[82000]\tvalid_0's mape: 0.00931737\n",
      "[84000]\tvalid_0's mape: 0.00931272\n",
      "[86000]\tvalid_0's mape: 0.00930815\n",
      "[88000]\tvalid_0's mape: 0.00930382\n",
      "[90000]\tvalid_0's mape: 0.00929989\n",
      "[92000]\tvalid_0's mape: 0.00929615\n",
      "[94000]\tvalid_0's mape: 0.00929258\n",
      "[96000]\tvalid_0's mape: 0.00928903\n",
      "[98000]\tvalid_0's mape: 0.00928588\n",
      "[100000]\tvalid_0's mape: 0.00928264\n",
      "[102000]\tvalid_0's mape: 0.00927955\n",
      "[104000]\tvalid_0's mape: 0.00927668\n",
      "[106000]\tvalid_0's mape: 0.009274\n",
      "[108000]\tvalid_0's mape: 0.00927137\n",
      "[110000]\tvalid_0's mape: 0.00926894\n",
      "[112000]\tvalid_0's mape: 0.00926661\n",
      "[114000]\tvalid_0's mape: 0.00926436\n",
      "[116000]\tvalid_0's mape: 0.00926215\n",
      "[118000]\tvalid_0's mape: 0.00926023\n",
      "[120000]\tvalid_0's mape: 0.00925829\n",
      "[122000]\tvalid_0's mape: 0.00925649\n",
      "[124000]\tvalid_0's mape: 0.0092548\n",
      "[126000]\tvalid_0's mape: 0.00925324\n",
      "[128000]\tvalid_0's mape: 0.00925163\n",
      "[130000]\tvalid_0's mape: 0.00925008\n",
      "[136000]\tvalid_0's mape: 0.00924599\n",
      "[138000]\tvalid_0's mape: 0.00924472\n",
      "[140000]\tvalid_0's mape: 0.00924353\n",
      "[142000]\tvalid_0's mape: 0.00924239\n",
      "[144000]\tvalid_0's mape: 0.00924123\n",
      "[146000]\tvalid_0's mape: 0.00924016\n",
      "[148000]\tvalid_0's mape: 0.00923914\n",
      "[150000]\tvalid_0's mape: 0.00923817\n",
      "[152000]\tvalid_0's mape: 0.00923724\n",
      "[154000]\tvalid_0's mape: 0.00923637\n",
      "[156000]\tvalid_0's mape: 0.00923538\n",
      "[158000]\tvalid_0's mape: 0.00923446\n",
      "[160000]\tvalid_0's mape: 0.00923364\n",
      "[162000]\tvalid_0's mape: 0.00923289\n",
      "[164000]\tvalid_0's mape: 0.00923209\n",
      "[166000]\tvalid_0's mape: 0.00923135\n",
      "[168000]\tvalid_0's mape: 0.00923059\n",
      "[170000]\tvalid_0's mape: 0.00922991\n",
      "[172000]\tvalid_0's mape: 0.00922922\n",
      "[174000]\tvalid_0's mape: 0.00922859\n",
      "[176000]\tvalid_0's mape: 0.00922797\n",
      "[178000]\tvalid_0's mape: 0.00922743\n",
      "[180000]\tvalid_0's mape: 0.00922688\n",
      "[182000]\tvalid_0's mape: 0.00922635\n",
      "[184000]\tvalid_0's mape: 0.00922582\n",
      "[186000]\tvalid_0's mape: 0.00922531\n",
      "[188000]\tvalid_0's mape: 0.00922483\n",
      "[190000]\tvalid_0's mape: 0.00922433\n",
      "[192000]\tvalid_0's mape: 0.00922386\n",
      "[194000]\tvalid_0's mape: 0.0092234\n",
      "[196000]\tvalid_0's mape: 0.00922295\n",
      "[198000]\tvalid_0's mape: 0.00922248\n",
      "[200000]\tvalid_0's mape: 0.00922208\n",
      "[202000]\tvalid_0's mape: 0.00922164\n",
      "[204000]\tvalid_0's mape: 0.00922127\n",
      "[206000]\tvalid_0's mape: 0.0092209\n",
      "[208000]\tvalid_0's mape: 0.00922055\n",
      "[210000]\tvalid_0's mape: 0.00922019\n",
      "[212000]\tvalid_0's mape: 0.00921982\n",
      "[214000]\tvalid_0's mape: 0.00921948\n",
      "[216000]\tvalid_0's mape: 0.00921914\n",
      "[218000]\tvalid_0's mape: 0.00921883\n",
      "[220000]\tvalid_0's mape: 0.00921854\n",
      "[222000]\tvalid_0's mape: 0.00921826\n",
      "[224000]\tvalid_0's mape: 0.00921801\n",
      "[226000]\tvalid_0's mape: 0.00921773\n",
      "[228000]\tvalid_0's mape: 0.00921747\n",
      "[230000]\tvalid_0's mape: 0.00921723\n",
      "[232000]\tvalid_0's mape: 0.00921698\n",
      "[234000]\tvalid_0's mape: 0.00921674\n",
      "[236000]\tvalid_0's mape: 0.00921652\n",
      "[238000]\tvalid_0's mape: 0.00921629\n",
      "[240000]\tvalid_0's mape: 0.00921605\n",
      "[242000]\tvalid_0's mape: 0.00921584\n",
      "[244000]\tvalid_0's mape: 0.00921565\n",
      "[246000]\tvalid_0's mape: 0.00921546\n",
      "[248000]\tvalid_0's mape: 0.00921527\n",
      "[250000]\tvalid_0's mape: 0.00921508\n",
      "[252000]\tvalid_0's mape: 0.00921491\n",
      "[254000]\tvalid_0's mape: 0.00921473\n",
      "[256000]\tvalid_0's mape: 0.00921457\n",
      "[258000]\tvalid_0's mape: 0.00921439\n",
      "[260000]\tvalid_0's mape: 0.00921422\n",
      "[262000]\tvalid_0's mape: 0.00921405\n",
      "[264000]\tvalid_0's mape: 0.0092139\n",
      "[266000]\tvalid_0's mape: 0.00921376\n",
      "[268000]\tvalid_0's mape: 0.00921361\n",
      "[270000]\tvalid_0's mape: 0.00921347\n",
      "[272000]\tvalid_0's mape: 0.00921332\n",
      "[274000]\tvalid_0's mape: 0.00921318\n",
      "[276000]\tvalid_0's mape: 0.00921306\n",
      "[278000]\tvalid_0's mape: 0.00921291\n",
      "[280000]\tvalid_0's mape: 0.00921278\n",
      "[282000]\tvalid_0's mape: 0.00921265\n",
      "[284000]\tvalid_0's mape: 0.00921254\n",
      "[286000]\tvalid_0's mape: 0.00921243\n",
      "[288000]\tvalid_0's mape: 0.00921232\n",
      "[290000]\tvalid_0's mape: 0.00921222\n",
      "[292000]\tvalid_0's mape: 0.00921212\n",
      "[294000]\tvalid_0's mape: 0.00921203\n",
      "[296000]\tvalid_0's mape: 0.00921194\n",
      "[298000]\tvalid_0's mape: 0.00921186\n",
      "[300000]\tvalid_0's mape: 0.00921178\n",
      "[302000]\tvalid_0's mape: 0.0092117\n",
      "[304000]\tvalid_0's mape: 0.00921163\n",
      "[306000]\tvalid_0's mape: 0.00921155\n",
      "[308000]\tvalid_0's mape: 0.00921148\n",
      "[310000]\tvalid_0's mape: 0.00921143\n",
      "Early stopping, best iteration is:\n",
      "[310775]\tvalid_0's mape: 0.00921141\n",
      "(Fold 3) score, mse, mae, mape: 5879.87392, 0.03768, 0.12263, 0.00921.\n",
      "Training until validation scores don't improve for 1000 rounds.\n",
      "[2000]\tvalid_0's mape: 0.0263732\n",
      "[4000]\tvalid_0's mape: 0.0155094\n",
      "[6000]\tvalid_0's mape: 0.0123029\n",
      "[8000]\tvalid_0's mape: 0.0112227\n",
      "[10000]\tvalid_0's mape: 0.0107234\n",
      "[12000]\tvalid_0's mape: 0.0104441\n",
      "[14000]\tvalid_0's mape: 0.0102468\n",
      "[16000]\tvalid_0's mape: 0.0100957\n",
      "[18000]\tvalid_0's mape: 0.00997336\n",
      "[20000]\tvalid_0's mape: 0.0098756\n",
      "[22000]\tvalid_0's mape: 0.00979647\n",
      "[24000]\tvalid_0's mape: 0.00973219\n",
      "[26000]\tvalid_0's mape: 0.00967817\n",
      "[28000]\tvalid_0's mape: 0.00963282\n",
      "[30000]\tvalid_0's mape: 0.00959457\n",
      "[32000]\tvalid_0's mape: 0.00956161\n",
      "[34000]\tvalid_0's mape: 0.00953239\n",
      "[36000]\tvalid_0's mape: 0.00950641\n",
      "[38000]\tvalid_0's mape: 0.00948294\n",
      "[40000]\tvalid_0's mape: 0.00946214\n",
      "[42000]\tvalid_0's mape: 0.00944314\n",
      "[44000]\tvalid_0's mape: 0.0094258\n",
      "[46000]\tvalid_0's mape: 0.00940996\n",
      "[48000]\tvalid_0's mape: 0.0093953\n",
      "[50000]\tvalid_0's mape: 0.00938184\n",
      "[52000]\tvalid_0's mape: 0.00936969\n",
      "[54000]\tvalid_0's mape: 0.00935833\n",
      "[56000]\tvalid_0's mape: 0.00934791\n",
      "[58000]\tvalid_0's mape: 0.00933856\n",
      "[60000]\tvalid_0's mape: 0.00932974\n",
      "[62000]\tvalid_0's mape: 0.00932148\n",
      "[64000]\tvalid_0's mape: 0.00931355\n",
      "[66000]\tvalid_0's mape: 0.0093062\n",
      "[68000]\tvalid_0's mape: 0.00929929\n",
      "[70000]\tvalid_0's mape: 0.00929288\n",
      "[72000]\tvalid_0's mape: 0.0092868\n",
      "[74000]\tvalid_0's mape: 0.00928114\n",
      "[76000]\tvalid_0's mape: 0.00927566\n",
      "[78000]\tvalid_0's mape: 0.00927043\n",
      "[80000]\tvalid_0's mape: 0.00926564\n",
      "[82000]\tvalid_0's mape: 0.00926124\n",
      "[84000]\tvalid_0's mape: 0.00925707\n",
      "[86000]\tvalid_0's mape: 0.00925315\n",
      "[88000]\tvalid_0's mape: 0.00924958\n",
      "[90000]\tvalid_0's mape: 0.00924613\n",
      "[92000]\tvalid_0's mape: 0.00924298\n",
      "[94000]\tvalid_0's mape: 0.00923982\n",
      "[96000]\tvalid_0's mape: 0.00923671\n",
      "[98000]\tvalid_0's mape: 0.00923386\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[100000]\tvalid_0's mape: 0.00923126\n",
      "[102000]\tvalid_0's mape: 0.00922882\n",
      "[104000]\tvalid_0's mape: 0.00922653\n",
      "[106000]\tvalid_0's mape: 0.00922436\n",
      "[108000]\tvalid_0's mape: 0.00922232\n",
      "[110000]\tvalid_0's mape: 0.00922037\n",
      "[112000]\tvalid_0's mape: 0.00921852\n",
      "[114000]\tvalid_0's mape: 0.0092169\n",
      "[116000]\tvalid_0's mape: 0.00921525\n",
      "[118000]\tvalid_0's mape: 0.00921359\n",
      "[120000]\tvalid_0's mape: 0.00921197\n",
      "[122000]\tvalid_0's mape: 0.00921051\n",
      "[124000]\tvalid_0's mape: 0.00920918\n",
      "[126000]\tvalid_0's mape: 0.00920784\n",
      "[128000]\tvalid_0's mape: 0.0092066\n",
      "[130000]\tvalid_0's mape: 0.00920536\n",
      "[132000]\tvalid_0's mape: 0.00920416\n",
      "[134000]\tvalid_0's mape: 0.00920297\n",
      "[136000]\tvalid_0's mape: 0.00920189\n",
      "[138000]\tvalid_0's mape: 0.00920081\n",
      "[140000]\tvalid_0's mape: 0.00919976\n",
      "[142000]\tvalid_0's mape: 0.00919885\n",
      "[144000]\tvalid_0's mape: 0.00919797\n",
      "[146000]\tvalid_0's mape: 0.00919722\n",
      "[148000]\tvalid_0's mape: 0.00919657\n",
      "[150000]\tvalid_0's mape: 0.00919587\n",
      "[152000]\tvalid_0's mape: 0.0091952\n",
      "[154000]\tvalid_0's mape: 0.00919454\n",
      "[156000]\tvalid_0's mape: 0.00919389\n",
      "[158000]\tvalid_0's mape: 0.00919324\n",
      "[160000]\tvalid_0's mape: 0.00919262\n",
      "[162000]\tvalid_0's mape: 0.00919198\n",
      "[164000]\tvalid_0's mape: 0.00919135\n",
      "[166000]\tvalid_0's mape: 0.00919075\n",
      "[168000]\tvalid_0's mape: 0.00919016\n",
      "[170000]\tvalid_0's mape: 0.00918964\n",
      "[172000]\tvalid_0's mape: 0.00918912\n",
      "[174000]\tvalid_0's mape: 0.00918862\n",
      "[176000]\tvalid_0's mape: 0.00918815\n",
      "[178000]\tvalid_0's mape: 0.00918769\n",
      "[180000]\tvalid_0's mape: 0.00918724\n",
      "[182000]\tvalid_0's mape: 0.0091868\n",
      "[184000]\tvalid_0's mape: 0.00918641\n",
      "[186000]\tvalid_0's mape: 0.009186\n",
      "[188000]\tvalid_0's mape: 0.00918562\n",
      "[190000]\tvalid_0's mape: 0.00918524\n",
      "[192000]\tvalid_0's mape: 0.0091849\n",
      "[194000]\tvalid_0's mape: 0.00918455\n",
      "[196000]\tvalid_0's mape: 0.00918421\n",
      "[198000]\tvalid_0's mape: 0.00918389\n",
      "[200000]\tvalid_0's mape: 0.00918359\n",
      "[202000]\tvalid_0's mape: 0.0091833\n",
      "[204000]\tvalid_0's mape: 0.009183\n",
      "[206000]\tvalid_0's mape: 0.00918273\n",
      "[208000]\tvalid_0's mape: 0.00918246\n",
      "[210000]\tvalid_0's mape: 0.00918222\n",
      "[212000]\tvalid_0's mape: 0.00918198\n",
      "[214000]\tvalid_0's mape: 0.00918174\n",
      "[216000]\tvalid_0's mape: 0.00918152\n",
      "[218000]\tvalid_0's mape: 0.00918131\n",
      "[220000]\tvalid_0's mape: 0.00918108\n",
      "[222000]\tvalid_0's mape: 0.00918087\n",
      "[224000]\tvalid_0's mape: 0.00918065\n",
      "[226000]\tvalid_0's mape: 0.00918045\n",
      "[228000]\tvalid_0's mape: 0.00918026\n",
      "[230000]\tvalid_0's mape: 0.00918006\n",
      "[232000]\tvalid_0's mape: 0.00917989\n",
      "[234000]\tvalid_0's mape: 0.00917971\n",
      "[236000]\tvalid_0's mape: 0.00917953\n",
      "[238000]\tvalid_0's mape: 0.00917936\n",
      "[240000]\tvalid_0's mape: 0.00917918\n",
      "[242000]\tvalid_0's mape: 0.00917902\n",
      "[244000]\tvalid_0's mape: 0.00917886\n",
      "[246000]\tvalid_0's mape: 0.0091787\n",
      "[248000]\tvalid_0's mape: 0.00917857\n",
      "[250000]\tvalid_0's mape: 0.00917841\n",
      "[252000]\tvalid_0's mape: 0.00917827\n",
      "[254000]\tvalid_0's mape: 0.00917814\n",
      "[256000]\tvalid_0's mape: 0.00917802\n",
      "[258000]\tvalid_0's mape: 0.0091779\n",
      "[260000]\tvalid_0's mape: 0.00917777\n",
      "[262000]\tvalid_0's mape: 0.00917765\n",
      "[264000]\tvalid_0's mape: 0.00917754\n",
      "[266000]\tvalid_0's mape: 0.00917742\n",
      "[268000]\tvalid_0's mape: 0.00917732\n",
      "[270000]\tvalid_0's mape: 0.00917722\n",
      "[272000]\tvalid_0's mape: 0.0091771\n",
      "[274000]\tvalid_0's mape: 0.00917701\n",
      "[276000]\tvalid_0's mape: 0.00917692\n",
      "[278000]\tvalid_0's mape: 0.00917683\n",
      "[280000]\tvalid_0's mape: 0.00917674\n",
      "[282000]\tvalid_0's mape: 0.00917667\n",
      "[284000]\tvalid_0's mape: 0.0091766\n",
      "[286000]\tvalid_0's mape: 0.00917652\n",
      "[288000]\tvalid_0's mape: 0.00917644\n",
      "[290000]\tvalid_0's mape: 0.00917637\n",
      "[292000]\tvalid_0's mape: 0.00917629\n",
      "[294000]\tvalid_0's mape: 0.00917622\n",
      "[296000]\tvalid_0's mape: 0.00917615\n",
      "[298000]\tvalid_0's mape: 0.00917609\n",
      "[300000]\tvalid_0's mape: 0.00917603\n",
      "[302000]\tvalid_0's mape: 0.00917596\n",
      "[304000]\tvalid_0's mape: 0.0091759\n",
      "[306000]\tvalid_0's mape: 0.00917585\n",
      "Early stopping, best iteration is:\n",
      "[306477]\tvalid_0's mape: 0.00917584\n",
      "(Fold 4) score, mse, mae, mape: 5856.87124, 0.03747, 0.12207, 0.00918.\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": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total run time: 59672.46004605293\n"
     ]
    }
   ],
   "source": [
    "print('Total run time:', time.time() - t0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Kfold cv score (mean, stdev, all): 5892.673193506305 38.61215490713918 [5849.876237727607, 5937.873056370058, 5938.8715099754645, 5879.873920694091, 5856.871242764306]\n"
     ]
    }
   ],
   "source": [
    "print('Kfold cv score (mean, stdev, all):', np.mean(scores), np.std(scores), scores) # 5868.87314"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Kfold cv mape (mean, stdev, all): 0.8731935063053242 0.0018140872195247578 [0.87623773 0.87305637 0.87150998 0.87392069 0.87124276]\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": 18,
   "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>15.137894</td>\n",
       "      <td>15.173997</td>\n",
       "      <td>15.243691</td>\n",
       "      <td>15.191426</td>\n",
       "      <td>15.098504</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>BTshNOJyKHnT2YIT</td>\n",
       "      <td>13.139062</td>\n",
       "      <td>13.137810</td>\n",
       "      <td>13.150541</td>\n",
       "      <td>13.151213</td>\n",
       "      <td>13.143523</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>dhdymr0lV8N5kZOT</td>\n",
       "      <td>13.658015</td>\n",
       "      <td>13.676417</td>\n",
       "      <td>13.671035</td>\n",
       "      <td>13.683176</td>\n",
       "      <td>13.655436</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>VEwyGGMcD56w5BOc</td>\n",
       "      <td>14.801486</td>\n",
       "      <td>14.781465</td>\n",
       "      <td>14.766500</td>\n",
       "      <td>14.783876</td>\n",
       "      <td>14.764288</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>wmUeMoJZfsqaSX9b</td>\n",
       "      <td>12.082771</td>\n",
       "      <td>12.082158</td>\n",
       "      <td>12.037207</td>\n",
       "      <td>12.144034</td>\n",
       "      <td>12.155913</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  15.137894  15.173997  15.243691  15.191426  15.098504\n",
       "1  BTshNOJyKHnT2YIT  13.139062  13.137810  13.150541  13.151213  13.143523\n",
       "2  dhdymr0lV8N5kZOT  13.658015  13.676417  13.671035  13.683176  13.655436\n",
       "3  VEwyGGMcD56w5BOc  14.801486  14.781465  14.766500  14.783876  14.764288\n",
       "4  wmUeMoJZfsqaSX9b  12.082771  12.082158  12.037207  12.144034  12.155913"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "predicts_test.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "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": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Best iterations: [310507, 307674, 317111, 310775, 306477]\n",
      "Mean best iterations: 310508\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": 21,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'num_boost_round': 372610, 'verbose_eval': 2000}"
      ]
     },
     "execution_count": 21,
     "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": 22,
   "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': 350,\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': 1011}"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "params"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[2000]\ttraining's mape: 0.0255198\n",
      "[4000]\ttraining's mape: 0.0139384\n",
      "[6000]\ttraining's mape: 0.0101533\n",
      "[8000]\ttraining's mape: 0.00861115\n",
      "[10000]\ttraining's mape: 0.0077155\n",
      "[12000]\ttraining's mape: 0.00707951\n",
      "[14000]\ttraining's mape: 0.00656914\n",
      "[16000]\ttraining's mape: 0.00613498\n",
      "[18000]\ttraining's mape: 0.00575698\n",
      "[20000]\ttraining's mape: 0.00542433\n",
      "[22000]\ttraining's mape: 0.0051292\n",
      "[24000]\ttraining's mape: 0.0048671\n",
      "[26000]\ttraining's mape: 0.0046322\n",
      "[28000]\ttraining's mape: 0.00442058\n",
      "[30000]\ttraining's mape: 0.00422833\n",
      "[32000]\ttraining's mape: 0.00405226\n",
      "[34000]\ttraining's mape: 0.00388816\n",
      "[36000]\ttraining's mape: 0.00373506\n",
      "[38000]\ttraining's mape: 0.0035911\n",
      "[40000]\ttraining's mape: 0.00345542\n",
      "[42000]\ttraining's mape: 0.0033272\n",
      "[44000]\ttraining's mape: 0.00320626\n",
      "[46000]\ttraining's mape: 0.0030907\n",
      "[48000]\ttraining's mape: 0.00298264\n",
      "[50000]\ttraining's mape: 0.00287922\n",
      "[52000]\ttraining's mape: 0.00278122\n",
      "[54000]\ttraining's mape: 0.00268751\n",
      "[56000]\ttraining's mape: 0.00259656\n",
      "[58000]\ttraining's mape: 0.00250945\n",
      "[60000]\ttraining's mape: 0.00242689\n",
      "[62000]\ttraining's mape: 0.00234767\n",
      "[64000]\ttraining's mape: 0.00227196\n",
      "[66000]\ttraining's mape: 0.00219967\n",
      "[68000]\ttraining's mape: 0.0021302\n",
      "[70000]\ttraining's mape: 0.00206351\n",
      "[72000]\ttraining's mape: 0.00199871\n",
      "[74000]\ttraining's mape: 0.00193739\n",
      "[76000]\ttraining's mape: 0.00187917\n",
      "[78000]\ttraining's mape: 0.00182328\n",
      "[80000]\ttraining's mape: 0.00176907\n",
      "[82000]\ttraining's mape: 0.00171735\n",
      "[84000]\ttraining's mape: 0.00166595\n",
      "[86000]\ttraining's mape: 0.00161763\n",
      "[88000]\ttraining's mape: 0.00157169\n",
      "[90000]\ttraining's mape: 0.00152701\n",
      "[92000]\ttraining's mape: 0.00148421\n",
      "[94000]\ttraining's mape: 0.0014435\n",
      "[96000]\ttraining's mape: 0.00140458\n",
      "[98000]\ttraining's mape: 0.00136656\n",
      "[100000]\ttraining's mape: 0.00133037\n",
      "[102000]\ttraining's mape: 0.00129551\n",
      "[104000]\ttraining's mape: 0.00126182\n",
      "[106000]\ttraining's mape: 0.00122862\n",
      "[108000]\ttraining's mape: 0.00119681\n",
      "[110000]\ttraining's mape: 0.00116583\n",
      "[112000]\ttraining's mape: 0.00113581\n",
      "[114000]\ttraining's mape: 0.00110649\n",
      "[116000]\ttraining's mape: 0.00107858\n",
      "[118000]\ttraining's mape: 0.00105096\n",
      "[120000]\ttraining's mape: 0.00102459\n",
      "[122000]\ttraining's mape: 0.00099948\n",
      "[124000]\ttraining's mape: 0.000974957\n",
      "[126000]\ttraining's mape: 0.000951408\n",
      "[128000]\ttraining's mape: 0.000928579\n",
      "[130000]\ttraining's mape: 0.000905943\n",
      "[132000]\ttraining's mape: 0.000883834\n",
      "[134000]\ttraining's mape: 0.000862957\n",
      "[136000]\ttraining's mape: 0.000842917\n",
      "[138000]\ttraining's mape: 0.000823848\n",
      "[140000]\ttraining's mape: 0.000805202\n",
      "[142000]\ttraining's mape: 0.000787058\n",
      "[144000]\ttraining's mape: 0.000769095\n",
      "[146000]\ttraining's mape: 0.000751765\n",
      "[148000]\ttraining's mape: 0.00073477\n",
      "[150000]\ttraining's mape: 0.000718383\n",
      "[152000]\ttraining's mape: 0.000702528\n",
      "[154000]\ttraining's mape: 0.000687113\n",
      "[156000]\ttraining's mape: 0.000672162\n",
      "[158000]\ttraining's mape: 0.000658064\n",
      "[160000]\ttraining's mape: 0.000643854\n",
      "[162000]\ttraining's mape: 0.000630232\n",
      "[164000]\ttraining's mape: 0.00061691\n",
      "[166000]\ttraining's mape: 0.000603638\n",
      "[168000]\ttraining's mape: 0.000590481\n",
      "[170000]\ttraining's mape: 0.0005778\n",
      "[172000]\ttraining's mape: 0.000565717\n",
      "[174000]\ttraining's mape: 0.000554199\n",
      "[176000]\ttraining's mape: 0.000543159\n",
      "[178000]\ttraining's mape: 0.000531927\n",
      "[180000]\ttraining's mape: 0.000521237\n",
      "[182000]\ttraining's mape: 0.000510896\n",
      "[184000]\ttraining's mape: 0.000500562\n",
      "[186000]\ttraining's mape: 0.000490945\n",
      "[188000]\ttraining's mape: 0.000481343\n",
      "[190000]\ttraining's mape: 0.000472023\n",
      "[192000]\ttraining's mape: 0.000462934\n",
      "[194000]\ttraining's mape: 0.000453886\n",
      "[196000]\ttraining's mape: 0.000445263\n",
      "[198000]\ttraining's mape: 0.00043682\n",
      "[200000]\ttraining's mape: 0.000428452\n",
      "[202000]\ttraining's mape: 0.000420397\n",
      "[204000]\ttraining's mape: 0.000412302\n",
      "[206000]\ttraining's mape: 0.000404794\n",
      "[208000]\ttraining's mape: 0.000397497\n",
      "[210000]\ttraining's mape: 0.000390482\n",
      "[212000]\ttraining's mape: 0.000383548\n",
      "[214000]\ttraining's mape: 0.000376783\n",
      "[216000]\ttraining's mape: 0.000370009\n",
      "[218000]\ttraining's mape: 0.000363489\n",
      "[220000]\ttraining's mape: 0.000357078\n",
      "[222000]\ttraining's mape: 0.000350924\n",
      "[224000]\ttraining's mape: 0.000344738\n",
      "[226000]\ttraining's mape: 0.000338909\n",
      "[228000]\ttraining's mape: 0.000333172\n",
      "[230000]\ttraining's mape: 0.000327547\n",
      "[232000]\ttraining's mape: 0.000321957\n",
      "[234000]\ttraining's mape: 0.00031663\n",
      "[236000]\ttraining's mape: 0.000311454\n",
      "[238000]\ttraining's mape: 0.0003064\n",
      "[240000]\ttraining's mape: 0.00030143\n",
      "[242000]\ttraining's mape: 0.000296575\n",
      "[244000]\ttraining's mape: 0.000291678\n",
      "[246000]\ttraining's mape: 0.000287003\n",
      "[248000]\ttraining's mape: 0.000282386\n",
      "[250000]\ttraining's mape: 0.00027783\n",
      "[252000]\ttraining's mape: 0.000273431\n",
      "[254000]\ttraining's mape: 0.000269073\n",
      "[256000]\ttraining's mape: 0.000264899\n",
      "[258000]\ttraining's mape: 0.000260841\n",
      "[260000]\ttraining's mape: 0.000256867\n",
      "[262000]\ttraining's mape: 0.000252971\n",
      "[264000]\ttraining's mape: 0.000249139\n",
      "[266000]\ttraining's mape: 0.000245491\n",
      "[268000]\ttraining's mape: 0.00024187\n",
      "[270000]\ttraining's mape: 0.00023835\n",
      "[272000]\ttraining's mape: 0.000234981\n",
      "[274000]\ttraining's mape: 0.000231584\n",
      "[276000]\ttraining's mape: 0.000228236\n",
      "[278000]\ttraining's mape: 0.000224916\n",
      "[280000]\ttraining's mape: 0.000221683\n",
      "[282000]\ttraining's mape: 0.000218541\n",
      "[284000]\ttraining's mape: 0.00021539\n",
      "[286000]\ttraining's mape: 0.000212324\n",
      "[292000]\ttraining's mape: 0.000203885\n",
      "[294000]\ttraining's mape: 0.000201139\n",
      "[296000]\ttraining's mape: 0.000198526\n",
      "[298000]\ttraining's mape: 0.000195943\n",
      "[300000]\ttraining's mape: 0.000193369\n",
      "[302000]\ttraining's mape: 0.000190887\n",
      "[304000]\ttraining's mape: 0.000188415\n",
      "[306000]\ttraining's mape: 0.000185959\n",
      "[308000]\ttraining's mape: 0.000183578\n",
      "[310000]\ttraining's mape: 0.00018124\n",
      "[312000]\ttraining's mape: 0.000178952\n",
      "[314000]\ttraining's mape: 0.000176751\n",
      "[316000]\ttraining's mape: 0.000174626\n",
      "[318000]\ttraining's mape: 0.000172496\n",
      "[320000]\ttraining's mape: 0.000170361\n",
      "[322000]\ttraining's mape: 0.000168304\n",
      "[324000]\ttraining's mape: 0.000166341\n",
      "[326000]\ttraining's mape: 0.000164346\n",
      "[328000]\ttraining's mape: 0.00016239\n",
      "[330000]\ttraining's mape: 0.000160483\n",
      "[332000]\ttraining's mape: 0.000158619\n",
      "[334000]\ttraining's mape: 0.000156849\n",
      "[336000]\ttraining's mape: 0.0001551\n",
      "[338000]\ttraining's mape: 0.000153369\n",
      "[340000]\ttraining's mape: 0.000151684\n",
      "[342000]\ttraining's mape: 0.000150034\n",
      "[344000]\ttraining's mape: 0.000148431\n",
      "[346000]\ttraining's mape: 0.000146855\n",
      "[348000]\ttraining's mape: 0.000145317\n",
      "[350000]\ttraining's mape: 0.000143794\n",
      "[352000]\ttraining's mape: 0.000142327\n",
      "[354000]\ttraining's mape: 0.000140869\n",
      "[356000]\ttraining's mape: 0.000139391\n",
      "[358000]\ttraining's mape: 0.000138045\n",
      "[360000]\ttraining's mape: 0.000136713\n",
      "[362000]\ttraining's mape: 0.000135395\n",
      "[364000]\ttraining's mape: 0.000134093\n",
      "[366000]\ttraining's mape: 0.000132842\n",
      "[368000]\ttraining's mape: 0.000131615\n",
      "[370000]\ttraining's mape: 0.0001304\n",
      "[372000]\ttraining's mape: 0.000129208\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>1.405424e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>BTshNOJyKHnT2YIT</td>\n",
       "      <td>3.932854e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>dhdymr0lV8N5kZOT</td>\n",
       "      <td>1.040041e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>VEwyGGMcD56w5BOc</td>\n",
       "      <td>5.905111e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>wmUeMoJZfsqaSX9b</td>\n",
       "      <td>1.048505e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>EtBjGAHmHCe9t7TZ</td>\n",
       "      <td>2.727589e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>hPNH34vmaZtvBtqc</td>\n",
       "      <td>1.225296e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>wXjeI38bYDMJJwZC</td>\n",
       "      <td>6.256973e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>fxZSGX6aPAFKU8W4</td>\n",
       "      <td>1.680228e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>ewr0Fx6ign87OwaV</td>\n",
       "      <td>4.235839e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>gHKurnEP4AowzsLg</td>\n",
       "      <td>8.927832e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>PmLfTgY2FElLrTl0</td>\n",
       "      <td>5.341627e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>eM2NppIOwzW0o8iy</td>\n",
       "      <td>9.880779e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>dxxwNun97NH4WTrZ</td>\n",
       "      <td>2.960954e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>jykBfhh3vdeFUi3H</td>\n",
       "      <td>4.018585e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>NlXbvdFfmJZf3L18</td>\n",
       "      <td>2.142489e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>D7jaFWHCzSqLBwdt</td>\n",
       "      <td>9.844529e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>L10dBBdqGmemweSl</td>\n",
       "      <td>5.960265e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>OgB0AdiPKlElakKN</td>\n",
       "      <td>1.075544e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>StiWNN1GQrpPBOYt</td>\n",
       "      <td>2.598132e+06</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         building_id   total_price\n",
       "0   X5gsdTWGS3W7JJQB  1.405424e+07\n",
       "1   BTshNOJyKHnT2YIT  3.932854e+06\n",
       "2   dhdymr0lV8N5kZOT  1.040041e+07\n",
       "3   VEwyGGMcD56w5BOc  5.905111e+06\n",
       "4   wmUeMoJZfsqaSX9b  1.048505e+06\n",
       "5   EtBjGAHmHCe9t7TZ  2.727589e+06\n",
       "6   hPNH34vmaZtvBtqc  1.225296e+07\n",
       "7   wXjeI38bYDMJJwZC  6.256973e+06\n",
       "8   fxZSGX6aPAFKU8W4  1.680228e+06\n",
       "9   ewr0Fx6ign87OwaV  4.235839e+06\n",
       "10  gHKurnEP4AowzsLg  8.927832e+05\n",
       "11  PmLfTgY2FElLrTl0  5.341627e+06\n",
       "12  eM2NppIOwzW0o8iy  9.880779e+06\n",
       "13  dxxwNun97NH4WTrZ  2.960954e+06\n",
       "14  jykBfhh3vdeFUi3H  4.018585e+06\n",
       "15  NlXbvdFfmJZf3L18  2.142489e+07\n",
       "16  D7jaFWHCzSqLBwdt  9.844529e+05\n",
       "17  L10dBBdqGmemweSl  5.960265e+06\n",
       "18  OgB0AdiPKlElakKN  1.075544e+06\n",
       "19  StiWNN1GQrpPBOYt  2.598132e+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": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_test_pred.to_csv('output/'+model_name+'-test-one.csv', index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total run time: 13917.348991394043\n"
     ]
    }
   ],
   "source": [
    "print('Total run time:', t11 - t10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Feature importance"
   ]
  },
  {
   "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) # 050, 051, 052\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "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
}