house price ann regression.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "e009f6d3",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.preprocessing import MinMaxScaler\n",
    "from sklearn.metrics import classification_report, confusion_matrix\n",
    "from tensorflow.keras.models import Sequential\n",
    "from tensorflow.keras.layers import Dense\n",
    "\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "35947a10",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv('./DATA/kc_house_data.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "b7cab571",
   "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>id</th>\n",
       "      <th>date</th>\n",
       "      <th>price</th>\n",
       "      <th>bedrooms</th>\n",
       "      <th>bathrooms</th>\n",
       "      <th>sqft_living</th>\n",
       "      <th>sqft_lot</th>\n",
       "      <th>floors</th>\n",
       "      <th>waterfront</th>\n",
       "      <th>view</th>\n",
       "      <th>...</th>\n",
       "      <th>grade</th>\n",
       "      <th>sqft_above</th>\n",
       "      <th>sqft_basement</th>\n",
       "      <th>yr_built</th>\n",
       "      <th>yr_renovated</th>\n",
       "      <th>zipcode</th>\n",
       "      <th>lat</th>\n",
       "      <th>long</th>\n",
       "      <th>sqft_living15</th>\n",
       "      <th>sqft_lot15</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>7129300520</td>\n",
       "      <td>10/13/2014</td>\n",
       "      <td>221900.0</td>\n",
       "      <td>3</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1180</td>\n",
       "      <td>5650</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>7</td>\n",
       "      <td>1180</td>\n",
       "      <td>0</td>\n",
       "      <td>1955</td>\n",
       "      <td>0</td>\n",
       "      <td>98178</td>\n",
       "      <td>47.5112</td>\n",
       "      <td>-122.257</td>\n",
       "      <td>1340</td>\n",
       "      <td>5650</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>6414100192</td>\n",
       "      <td>12/9/2014</td>\n",
       "      <td>538000.0</td>\n",
       "      <td>3</td>\n",
       "      <td>2.25</td>\n",
       "      <td>2570</td>\n",
       "      <td>7242</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>7</td>\n",
       "      <td>2170</td>\n",
       "      <td>400</td>\n",
       "      <td>1951</td>\n",
       "      <td>1991</td>\n",
       "      <td>98125</td>\n",
       "      <td>47.7210</td>\n",
       "      <td>-122.319</td>\n",
       "      <td>1690</td>\n",
       "      <td>7639</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>5631500400</td>\n",
       "      <td>2/25/2015</td>\n",
       "      <td>180000.0</td>\n",
       "      <td>2</td>\n",
       "      <td>1.00</td>\n",
       "      <td>770</td>\n",
       "      <td>10000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>6</td>\n",
       "      <td>770</td>\n",
       "      <td>0</td>\n",
       "      <td>1933</td>\n",
       "      <td>0</td>\n",
       "      <td>98028</td>\n",
       "      <td>47.7379</td>\n",
       "      <td>-122.233</td>\n",
       "      <td>2720</td>\n",
       "      <td>8062</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2487200875</td>\n",
       "      <td>12/9/2014</td>\n",
       "      <td>604000.0</td>\n",
       "      <td>4</td>\n",
       "      <td>3.00</td>\n",
       "      <td>1960</td>\n",
       "      <td>5000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>7</td>\n",
       "      <td>1050</td>\n",
       "      <td>910</td>\n",
       "      <td>1965</td>\n",
       "      <td>0</td>\n",
       "      <td>98136</td>\n",
       "      <td>47.5208</td>\n",
       "      <td>-122.393</td>\n",
       "      <td>1360</td>\n",
       "      <td>5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1954400510</td>\n",
       "      <td>2/18/2015</td>\n",
       "      <td>510000.0</td>\n",
       "      <td>3</td>\n",
       "      <td>2.00</td>\n",
       "      <td>1680</td>\n",
       "      <td>8080</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>8</td>\n",
       "      <td>1680</td>\n",
       "      <td>0</td>\n",
       "      <td>1987</td>\n",
       "      <td>0</td>\n",
       "      <td>98074</td>\n",
       "      <td>47.6168</td>\n",
       "      <td>-122.045</td>\n",
       "      <td>1800</td>\n",
       "      <td>7503</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           id        date     price  bedrooms  bathrooms  sqft_living  \\\n",
       "0  7129300520  10/13/2014  221900.0         3       1.00         1180   \n",
       "1  6414100192   12/9/2014  538000.0         3       2.25         2570   \n",
       "2  5631500400   2/25/2015  180000.0         2       1.00          770   \n",
       "3  2487200875   12/9/2014  604000.0         4       3.00         1960   \n",
       "4  1954400510   2/18/2015  510000.0         3       2.00         1680   \n",
       "\n",
       "   sqft_lot  floors  waterfront  view  ...  grade  sqft_above  sqft_basement  \\\n",
       "0      5650     1.0           0     0  ...      7        1180              0   \n",
       "1      7242     2.0           0     0  ...      7        2170            400   \n",
       "2     10000     1.0           0     0  ...      6         770              0   \n",
       "3      5000     1.0           0     0  ...      7        1050            910   \n",
       "4      8080     1.0           0     0  ...      8        1680              0   \n",
       "\n",
       "   yr_built  yr_renovated  zipcode      lat     long  sqft_living15  \\\n",
       "0      1955             0    98178  47.5112 -122.257           1340   \n",
       "1      1951          1991    98125  47.7210 -122.319           1690   \n",
       "2      1933             0    98028  47.7379 -122.233           2720   \n",
       "3      1965             0    98136  47.5208 -122.393           1360   \n",
       "4      1987             0    98074  47.6168 -122.045           1800   \n",
       "\n",
       "   sqft_lot15  \n",
       "0        5650  \n",
       "1        7639  \n",
       "2        8062  \n",
       "3        5000  \n",
       "4        7503  \n",
       "\n",
       "[5 rows x 21 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "0bf887ac",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 21597 entries, 0 to 21596\n",
      "Data columns (total 21 columns):\n",
      " #   Column         Non-Null Count  Dtype  \n",
      "---  ------         --------------  -----  \n",
      " 0   id             21597 non-null  int64  \n",
      " 1   date           21597 non-null  object \n",
      " 2   price          21597 non-null  float64\n",
      " 3   bedrooms       21597 non-null  int64  \n",
      " 4   bathrooms      21597 non-null  float64\n",
      " 5   sqft_living    21597 non-null  int64  \n",
      " 6   sqft_lot       21597 non-null  int64  \n",
      " 7   floors         21597 non-null  float64\n",
      " 8   waterfront     21597 non-null  int64  \n",
      " 9   view           21597 non-null  int64  \n",
      " 10  condition      21597 non-null  int64  \n",
      " 11  grade          21597 non-null  int64  \n",
      " 12  sqft_above     21597 non-null  int64  \n",
      " 13  sqft_basement  21597 non-null  int64  \n",
      " 14  yr_built       21597 non-null  int64  \n",
      " 15  yr_renovated   21597 non-null  int64  \n",
      " 16  zipcode        21597 non-null  int64  \n",
      " 17  lat            21597 non-null  float64\n",
      " 18  long           21597 non-null  float64\n",
      " 19  sqft_living15  21597 non-null  int64  \n",
      " 20  sqft_lot15     21597 non-null  int64  \n",
      "dtypes: float64(5), int64(15), object(1)\n",
      "memory usage: 3.5+ MB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "de54797e",
   "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>id</th>\n",
       "      <th>price</th>\n",
       "      <th>bedrooms</th>\n",
       "      <th>bathrooms</th>\n",
       "      <th>sqft_living</th>\n",
       "      <th>sqft_lot</th>\n",
       "      <th>floors</th>\n",
       "      <th>waterfront</th>\n",
       "      <th>view</th>\n",
       "      <th>condition</th>\n",
       "      <th>grade</th>\n",
       "      <th>sqft_above</th>\n",
       "      <th>sqft_basement</th>\n",
       "      <th>yr_built</th>\n",
       "      <th>yr_renovated</th>\n",
       "      <th>zipcode</th>\n",
       "      <th>lat</th>\n",
       "      <th>long</th>\n",
       "      <th>sqft_living15</th>\n",
       "      <th>sqft_lot15</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>2.159700e+04</td>\n",
       "      <td>2.159700e+04</td>\n",
       "      <td>21597.000000</td>\n",
       "      <td>21597.000000</td>\n",
       "      <td>21597.000000</td>\n",
       "      <td>2.159700e+04</td>\n",
       "      <td>21597.000000</td>\n",
       "      <td>21597.000000</td>\n",
       "      <td>21597.000000</td>\n",
       "      <td>21597.000000</td>\n",
       "      <td>21597.000000</td>\n",
       "      <td>21597.000000</td>\n",
       "      <td>21597.000000</td>\n",
       "      <td>21597.000000</td>\n",
       "      <td>21597.000000</td>\n",
       "      <td>21597.000000</td>\n",
       "      <td>21597.000000</td>\n",
       "      <td>21597.000000</td>\n",
       "      <td>21597.000000</td>\n",
       "      <td>21597.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>4.580474e+09</td>\n",
       "      <td>5.402966e+05</td>\n",
       "      <td>3.373200</td>\n",
       "      <td>2.115826</td>\n",
       "      <td>2080.321850</td>\n",
       "      <td>1.509941e+04</td>\n",
       "      <td>1.494096</td>\n",
       "      <td>0.007547</td>\n",
       "      <td>0.234292</td>\n",
       "      <td>3.409825</td>\n",
       "      <td>7.657915</td>\n",
       "      <td>1788.596842</td>\n",
       "      <td>291.725008</td>\n",
       "      <td>1970.999676</td>\n",
       "      <td>84.464787</td>\n",
       "      <td>98077.951845</td>\n",
       "      <td>47.560093</td>\n",
       "      <td>-122.213982</td>\n",
       "      <td>1986.620318</td>\n",
       "      <td>12758.283512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>2.876736e+09</td>\n",
       "      <td>3.673681e+05</td>\n",
       "      <td>0.926299</td>\n",
       "      <td>0.768984</td>\n",
       "      <td>918.106125</td>\n",
       "      <td>4.141264e+04</td>\n",
       "      <td>0.539683</td>\n",
       "      <td>0.086549</td>\n",
       "      <td>0.766390</td>\n",
       "      <td>0.650546</td>\n",
       "      <td>1.173200</td>\n",
       "      <td>827.759761</td>\n",
       "      <td>442.667800</td>\n",
       "      <td>29.375234</td>\n",
       "      <td>401.821438</td>\n",
       "      <td>53.513072</td>\n",
       "      <td>0.138552</td>\n",
       "      <td>0.140724</td>\n",
       "      <td>685.230472</td>\n",
       "      <td>27274.441950</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.000102e+06</td>\n",
       "      <td>7.800000e+04</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>370.000000</td>\n",
       "      <td>5.200000e+02</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>370.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1900.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>98001.000000</td>\n",
       "      <td>47.155900</td>\n",
       "      <td>-122.519000</td>\n",
       "      <td>399.000000</td>\n",
       "      <td>651.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>2.123049e+09</td>\n",
       "      <td>3.220000e+05</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>1.750000</td>\n",
       "      <td>1430.000000</td>\n",
       "      <td>5.040000e+03</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>1190.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1951.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>98033.000000</td>\n",
       "      <td>47.471100</td>\n",
       "      <td>-122.328000</td>\n",
       "      <td>1490.000000</td>\n",
       "      <td>5100.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>3.904930e+09</td>\n",
       "      <td>4.500000e+05</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>2.250000</td>\n",
       "      <td>1910.000000</td>\n",
       "      <td>7.618000e+03</td>\n",
       "      <td>1.500000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>1560.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1975.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>98065.000000</td>\n",
       "      <td>47.571800</td>\n",
       "      <td>-122.231000</td>\n",
       "      <td>1840.000000</td>\n",
       "      <td>7620.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>7.308900e+09</td>\n",
       "      <td>6.450000e+05</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>2.500000</td>\n",
       "      <td>2550.000000</td>\n",
       "      <td>1.068500e+04</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>2210.000000</td>\n",
       "      <td>560.000000</td>\n",
       "      <td>1997.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>98118.000000</td>\n",
       "      <td>47.678000</td>\n",
       "      <td>-122.125000</td>\n",
       "      <td>2360.000000</td>\n",
       "      <td>10083.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>9.900000e+09</td>\n",
       "      <td>7.700000e+06</td>\n",
       "      <td>33.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>13540.000000</td>\n",
       "      <td>1.651359e+06</td>\n",
       "      <td>3.500000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>9410.000000</td>\n",
       "      <td>4820.000000</td>\n",
       "      <td>2015.000000</td>\n",
       "      <td>2015.000000</td>\n",
       "      <td>98199.000000</td>\n",
       "      <td>47.777600</td>\n",
       "      <td>-121.315000</td>\n",
       "      <td>6210.000000</td>\n",
       "      <td>871200.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 id         price      bedrooms     bathrooms   sqft_living  \\\n",
       "count  2.159700e+04  2.159700e+04  21597.000000  21597.000000  21597.000000   \n",
       "mean   4.580474e+09  5.402966e+05      3.373200      2.115826   2080.321850   \n",
       "std    2.876736e+09  3.673681e+05      0.926299      0.768984    918.106125   \n",
       "min    1.000102e+06  7.800000e+04      1.000000      0.500000    370.000000   \n",
       "25%    2.123049e+09  3.220000e+05      3.000000      1.750000   1430.000000   \n",
       "50%    3.904930e+09  4.500000e+05      3.000000      2.250000   1910.000000   \n",
       "75%    7.308900e+09  6.450000e+05      4.000000      2.500000   2550.000000   \n",
       "max    9.900000e+09  7.700000e+06     33.000000      8.000000  13540.000000   \n",
       "\n",
       "           sqft_lot        floors    waterfront          view     condition  \\\n",
       "count  2.159700e+04  21597.000000  21597.000000  21597.000000  21597.000000   \n",
       "mean   1.509941e+04      1.494096      0.007547      0.234292      3.409825   \n",
       "std    4.141264e+04      0.539683      0.086549      0.766390      0.650546   \n",
       "min    5.200000e+02      1.000000      0.000000      0.000000      1.000000   \n",
       "25%    5.040000e+03      1.000000      0.000000      0.000000      3.000000   \n",
       "50%    7.618000e+03      1.500000      0.000000      0.000000      3.000000   \n",
       "75%    1.068500e+04      2.000000      0.000000      0.000000      4.000000   \n",
       "max    1.651359e+06      3.500000      1.000000      4.000000      5.000000   \n",
       "\n",
       "              grade    sqft_above  sqft_basement      yr_built  yr_renovated  \\\n",
       "count  21597.000000  21597.000000   21597.000000  21597.000000  21597.000000   \n",
       "mean       7.657915   1788.596842     291.725008   1970.999676     84.464787   \n",
       "std        1.173200    827.759761     442.667800     29.375234    401.821438   \n",
       "min        3.000000    370.000000       0.000000   1900.000000      0.000000   \n",
       "25%        7.000000   1190.000000       0.000000   1951.000000      0.000000   \n",
       "50%        7.000000   1560.000000       0.000000   1975.000000      0.000000   \n",
       "75%        8.000000   2210.000000     560.000000   1997.000000      0.000000   \n",
       "max       13.000000   9410.000000    4820.000000   2015.000000   2015.000000   \n",
       "\n",
       "            zipcode           lat          long  sqft_living15     sqft_lot15  \n",
       "count  21597.000000  21597.000000  21597.000000   21597.000000   21597.000000  \n",
       "mean   98077.951845     47.560093   -122.213982    1986.620318   12758.283512  \n",
       "std       53.513072      0.138552      0.140724     685.230472   27274.441950  \n",
       "min    98001.000000     47.155900   -122.519000     399.000000     651.000000  \n",
       "25%    98033.000000     47.471100   -122.328000    1490.000000    5100.000000  \n",
       "50%    98065.000000     47.571800   -122.231000    1840.000000    7620.000000  \n",
       "75%    98118.000000     47.678000   -122.125000    2360.000000   10083.000000  \n",
       "max    98199.000000     47.777600   -121.315000    6210.000000  871200.000000  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "949aaab1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "450000.0"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['price'].median()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "a94f947c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='price', ylabel='Count'>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1080x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize = (15,8))\n",
    "sns.histplot(df.price, kde = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "66fcd387",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='bedrooms', ylabel='count'>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(data=df, x='bedrooms')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "bdf613ae",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='yr_built', ylabel='Count'>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.histplot(df['yr_built'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "a2f73306",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='yr_renovated', ylabel='Count'>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.histplot(df[df['yr_renovated']!=0]['yr_renovated'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "f14ea615",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1080x576 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize = (15,8))\n",
    "sns.heatmap(df.corr())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "bba7441c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "price            1.000000\n",
       "sqft_living      0.701917\n",
       "grade            0.667951\n",
       "sqft_above       0.605368\n",
       "sqft_living15    0.585241\n",
       "bathrooms        0.525906\n",
       "view             0.397370\n",
       "sqft_basement    0.323799\n",
       "bedrooms         0.308787\n",
       "lat              0.306692\n",
       "waterfront       0.266398\n",
       "floors           0.256804\n",
       "yr_renovated     0.126424\n",
       "sqft_lot         0.089876\n",
       "sqft_lot15       0.082845\n",
       "yr_built         0.053953\n",
       "condition        0.036056\n",
       "long             0.022036\n",
       "id              -0.016772\n",
       "zipcode         -0.053402\n",
       "Name: price, dtype: float64"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.corr()['price'].sort_values(ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "9b305c63",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='sqft_living', ylabel='price'>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.scatterplot(data = df, x='sqft_living', y='price', hue='grade')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "8ff76ced",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='sqft_living', ylabel='grade'>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.scatterplot(data = df, x='sqft_living', y='grade', hue='price')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "cf3b300e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='grade', ylabel='price'>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.scatterplot(data = df, x='grade', y='price', hue='grade')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6f0ce350",
   "metadata": {},
   "source": [
    "\n",
    "import geopandas as gpd\n",
    "import fiona\n",
    "from shapely.geometry import Point, Polygon\n",
    "\n",
    "king_county_map = gpd.read_file('King_County_with_Natural_Shoreline_for_Puget_Sound_and_Lake_Washington___kingsh_area.shp')\n",
    "king_county_map.plot()\n",
    "\n",
    "crs = {'EPSG:4326'}\n",
    "geometry = [Point(xy) for xy in zip(df['long'], df['lat'])]\n",
    "geo_df = gpd.GeoDataFrame(df,crs = crs, geometry = geometry)\n",
    "\n",
    "geo_df['price_log'] = np.log(df['price'])\n",
    "\n",
    "fig, ax = plt.subplots(figsize = (10,10))\n",
    "king_county_map.plot(ax=ax, color='lightgrey', figsize=(20,200))\n",
    "geo_df[geo_df['price']<3e+06].plot(column = 'grade', ax=ax, cmap='summer', \n",
    "                                legend=True, legend_kwds={'shrink': 0.3},\n",
    "                               markersize=10)\n",
    "ax.set_title('King County Real Estate')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "fd41450a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='long', ylabel='lat'>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,8))\n",
    "sns.scatterplot(data=df, x='long', y='lat', hue='price', palette='PuRd')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "1873b95b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='long', ylabel='lat'>"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,8))\n",
    "sns.scatterplot(data=df[df['price']<3e+06], x='long', y='lat', hue='price')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "8c36d822",
   "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>id</th>\n",
       "      <th>date</th>\n",
       "      <th>price</th>\n",
       "      <th>bedrooms</th>\n",
       "      <th>bathrooms</th>\n",
       "      <th>sqft_living</th>\n",
       "      <th>sqft_lot</th>\n",
       "      <th>floors</th>\n",
       "      <th>waterfront</th>\n",
       "      <th>view</th>\n",
       "      <th>...</th>\n",
       "      <th>grade</th>\n",
       "      <th>sqft_above</th>\n",
       "      <th>sqft_basement</th>\n",
       "      <th>yr_built</th>\n",
       "      <th>yr_renovated</th>\n",
       "      <th>zipcode</th>\n",
       "      <th>lat</th>\n",
       "      <th>long</th>\n",
       "      <th>sqft_living15</th>\n",
       "      <th>sqft_lot15</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>7129300520</td>\n",
       "      <td>10/13/2014</td>\n",
       "      <td>221900.0</td>\n",
       "      <td>3</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1180</td>\n",
       "      <td>5650</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>7</td>\n",
       "      <td>1180</td>\n",
       "      <td>0</td>\n",
       "      <td>1955</td>\n",
       "      <td>0</td>\n",
       "      <td>98178</td>\n",
       "      <td>47.5112</td>\n",
       "      <td>-122.257</td>\n",
       "      <td>1340</td>\n",
       "      <td>5650</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>6414100192</td>\n",
       "      <td>12/9/2014</td>\n",
       "      <td>538000.0</td>\n",
       "      <td>3</td>\n",
       "      <td>2.25</td>\n",
       "      <td>2570</td>\n",
       "      <td>7242</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>7</td>\n",
       "      <td>2170</td>\n",
       "      <td>400</td>\n",
       "      <td>1951</td>\n",
       "      <td>1991</td>\n",
       "      <td>98125</td>\n",
       "      <td>47.7210</td>\n",
       "      <td>-122.319</td>\n",
       "      <td>1690</td>\n",
       "      <td>7639</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>5631500400</td>\n",
       "      <td>2/25/2015</td>\n",
       "      <td>180000.0</td>\n",
       "      <td>2</td>\n",
       "      <td>1.00</td>\n",
       "      <td>770</td>\n",
       "      <td>10000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>6</td>\n",
       "      <td>770</td>\n",
       "      <td>0</td>\n",
       "      <td>1933</td>\n",
       "      <td>0</td>\n",
       "      <td>98028</td>\n",
       "      <td>47.7379</td>\n",
       "      <td>-122.233</td>\n",
       "      <td>2720</td>\n",
       "      <td>8062</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2487200875</td>\n",
       "      <td>12/9/2014</td>\n",
       "      <td>604000.0</td>\n",
       "      <td>4</td>\n",
       "      <td>3.00</td>\n",
       "      <td>1960</td>\n",
       "      <td>5000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>7</td>\n",
       "      <td>1050</td>\n",
       "      <td>910</td>\n",
       "      <td>1965</td>\n",
       "      <td>0</td>\n",
       "      <td>98136</td>\n",
       "      <td>47.5208</td>\n",
       "      <td>-122.393</td>\n",
       "      <td>1360</td>\n",
       "      <td>5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1954400510</td>\n",
       "      <td>2/18/2015</td>\n",
       "      <td>510000.0</td>\n",
       "      <td>3</td>\n",
       "      <td>2.00</td>\n",
       "      <td>1680</td>\n",
       "      <td>8080</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>8</td>\n",
       "      <td>1680</td>\n",
       "      <td>0</td>\n",
       "      <td>1987</td>\n",
       "      <td>0</td>\n",
       "      <td>98074</td>\n",
       "      <td>47.6168</td>\n",
       "      <td>-122.045</td>\n",
       "      <td>1800</td>\n",
       "      <td>7503</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           id        date     price  bedrooms  bathrooms  sqft_living  \\\n",
       "0  7129300520  10/13/2014  221900.0         3       1.00         1180   \n",
       "1  6414100192   12/9/2014  538000.0         3       2.25         2570   \n",
       "2  5631500400   2/25/2015  180000.0         2       1.00          770   \n",
       "3  2487200875   12/9/2014  604000.0         4       3.00         1960   \n",
       "4  1954400510   2/18/2015  510000.0         3       2.00         1680   \n",
       "\n",
       "   sqft_lot  floors  waterfront  view  ...  grade  sqft_above  sqft_basement  \\\n",
       "0      5650     1.0           0     0  ...      7        1180              0   \n",
       "1      7242     2.0           0     0  ...      7        2170            400   \n",
       "2     10000     1.0           0     0  ...      6         770              0   \n",
       "3      5000     1.0           0     0  ...      7        1050            910   \n",
       "4      8080     1.0           0     0  ...      8        1680              0   \n",
       "\n",
       "   yr_built  yr_renovated  zipcode      lat     long  sqft_living15  \\\n",
       "0      1955             0    98178  47.5112 -122.257           1340   \n",
       "1      1951          1991    98125  47.7210 -122.319           1690   \n",
       "2      1933             0    98028  47.7379 -122.233           2720   \n",
       "3      1965             0    98136  47.5208 -122.393           1360   \n",
       "4      1987             0    98074  47.6168 -122.045           1800   \n",
       "\n",
       "   sqft_lot15  \n",
       "0        5650  \n",
       "1        7639  \n",
       "2        8062  \n",
       "3        5000  \n",
       "4        7503  \n",
       "\n",
       "[5 rows x 21 columns]"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "4b64810a",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = df.drop('id', axis = 1)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "3a1102cf",
   "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>date</th>\n",
       "      <th>price</th>\n",
       "      <th>bedrooms</th>\n",
       "      <th>bathrooms</th>\n",
       "      <th>sqft_living</th>\n",
       "      <th>sqft_lot</th>\n",
       "      <th>floors</th>\n",
       "      <th>waterfront</th>\n",
       "      <th>view</th>\n",
       "      <th>condition</th>\n",
       "      <th>grade</th>\n",
       "      <th>sqft_above</th>\n",
       "      <th>sqft_basement</th>\n",
       "      <th>yr_built</th>\n",
       "      <th>yr_renovated</th>\n",
       "      <th>zipcode</th>\n",
       "      <th>lat</th>\n",
       "      <th>long</th>\n",
       "      <th>sqft_living15</th>\n",
       "      <th>sqft_lot15</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2014-10-13</td>\n",
       "      <td>221900.0</td>\n",
       "      <td>3</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1180</td>\n",
       "      <td>5650</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>7</td>\n",
       "      <td>1180</td>\n",
       "      <td>0</td>\n",
       "      <td>1955</td>\n",
       "      <td>0</td>\n",
       "      <td>98178</td>\n",
       "      <td>47.5112</td>\n",
       "      <td>-122.257</td>\n",
       "      <td>1340</td>\n",
       "      <td>5650</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2014-12-09</td>\n",
       "      <td>538000.0</td>\n",
       "      <td>3</td>\n",
       "      <td>2.25</td>\n",
       "      <td>2570</td>\n",
       "      <td>7242</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>7</td>\n",
       "      <td>2170</td>\n",
       "      <td>400</td>\n",
       "      <td>1951</td>\n",
       "      <td>1991</td>\n",
       "      <td>98125</td>\n",
       "      <td>47.7210</td>\n",
       "      <td>-122.319</td>\n",
       "      <td>1690</td>\n",
       "      <td>7639</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2015-02-25</td>\n",
       "      <td>180000.0</td>\n",
       "      <td>2</td>\n",
       "      <td>1.00</td>\n",
       "      <td>770</td>\n",
       "      <td>10000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>770</td>\n",
       "      <td>0</td>\n",
       "      <td>1933</td>\n",
       "      <td>0</td>\n",
       "      <td>98028</td>\n",
       "      <td>47.7379</td>\n",
       "      <td>-122.233</td>\n",
       "      <td>2720</td>\n",
       "      <td>8062</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2014-12-09</td>\n",
       "      <td>604000.0</td>\n",
       "      <td>4</td>\n",
       "      <td>3.00</td>\n",
       "      <td>1960</td>\n",
       "      <td>5000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>1050</td>\n",
       "      <td>910</td>\n",
       "      <td>1965</td>\n",
       "      <td>0</td>\n",
       "      <td>98136</td>\n",
       "      <td>47.5208</td>\n",
       "      <td>-122.393</td>\n",
       "      <td>1360</td>\n",
       "      <td>5000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2015-02-18</td>\n",
       "      <td>510000.0</td>\n",
       "      <td>3</td>\n",
       "      <td>2.00</td>\n",
       "      <td>1680</td>\n",
       "      <td>8080</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>8</td>\n",
       "      <td>1680</td>\n",
       "      <td>0</td>\n",
       "      <td>1987</td>\n",
       "      <td>0</td>\n",
       "      <td>98074</td>\n",
       "      <td>47.6168</td>\n",
       "      <td>-122.045</td>\n",
       "      <td>1800</td>\n",
       "      <td>7503</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        date     price  bedrooms  bathrooms  sqft_living  sqft_lot  floors  \\\n",
       "0 2014-10-13  221900.0         3       1.00         1180      5650     1.0   \n",
       "1 2014-12-09  538000.0         3       2.25         2570      7242     2.0   \n",
       "2 2015-02-25  180000.0         2       1.00          770     10000     1.0   \n",
       "3 2014-12-09  604000.0         4       3.00         1960      5000     1.0   \n",
       "4 2015-02-18  510000.0         3       2.00         1680      8080     1.0   \n",
       "\n",
       "   waterfront  view  condition  grade  sqft_above  sqft_basement  yr_built  \\\n",
       "0           0     0          3      7        1180              0      1955   \n",
       "1           0     0          3      7        2170            400      1951   \n",
       "2           0     0          3      6         770              0      1933   \n",
       "3           0     0          5      7        1050            910      1965   \n",
       "4           0     0          3      8        1680              0      1987   \n",
       "\n",
       "   yr_renovated  zipcode      lat     long  sqft_living15  sqft_lot15  \n",
       "0             0    98178  47.5112 -122.257           1340        5650  \n",
       "1          1991    98125  47.7210 -122.319           1690        7639  \n",
       "2             0    98028  47.7379 -122.233           2720        8062  \n",
       "3             0    98136  47.5208 -122.393           1360        5000  \n",
       "4             0    98074  47.6168 -122.045           1800        7503  "
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['date'] = pd.to_datetime(df.date)\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "dc1beee7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2014"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['date'][0].year"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "8a0e062c",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['year'] = df['date'].apply(lambda date: date.year)\n",
    "df['month'] = df['date'].apply(lambda date: date.month)\n",
    "df = df.drop('date', axis = 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "03882c9f",
   "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>price</th>\n",
       "      <th>bedrooms</th>\n",
       "      <th>bathrooms</th>\n",
       "      <th>sqft_living</th>\n",
       "      <th>sqft_lot</th>\n",
       "      <th>floors</th>\n",
       "      <th>waterfront</th>\n",
       "      <th>view</th>\n",
       "      <th>condition</th>\n",
       "      <th>grade</th>\n",
       "      <th>...</th>\n",
       "      <th>sqft_basement</th>\n",
       "      <th>yr_built</th>\n",
       "      <th>yr_renovated</th>\n",
       "      <th>zipcode</th>\n",
       "      <th>lat</th>\n",
       "      <th>long</th>\n",
       "      <th>sqft_living15</th>\n",
       "      <th>sqft_lot15</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>221900.0</td>\n",
       "      <td>3</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1180</td>\n",
       "      <td>5650</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>7</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1955</td>\n",
       "      <td>0</td>\n",
       "      <td>98178</td>\n",
       "      <td>47.5112</td>\n",
       "      <td>-122.257</td>\n",
       "      <td>1340</td>\n",
       "      <td>5650</td>\n",
       "      <td>2014</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>538000.0</td>\n",
       "      <td>3</td>\n",
       "      <td>2.25</td>\n",
       "      <td>2570</td>\n",
       "      <td>7242</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>7</td>\n",
       "      <td>...</td>\n",
       "      <td>400</td>\n",
       "      <td>1951</td>\n",
       "      <td>1991</td>\n",
       "      <td>98125</td>\n",
       "      <td>47.7210</td>\n",
       "      <td>-122.319</td>\n",
       "      <td>1690</td>\n",
       "      <td>7639</td>\n",
       "      <td>2014</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>180000.0</td>\n",
       "      <td>2</td>\n",
       "      <td>1.00</td>\n",
       "      <td>770</td>\n",
       "      <td>10000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1933</td>\n",
       "      <td>0</td>\n",
       "      <td>98028</td>\n",
       "      <td>47.7379</td>\n",
       "      <td>-122.233</td>\n",
       "      <td>2720</td>\n",
       "      <td>8062</td>\n",
       "      <td>2015</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>604000.0</td>\n",
       "      <td>4</td>\n",
       "      <td>3.00</td>\n",
       "      <td>1960</td>\n",
       "      <td>5000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>...</td>\n",
       "      <td>910</td>\n",
       "      <td>1965</td>\n",
       "      <td>0</td>\n",
       "      <td>98136</td>\n",
       "      <td>47.5208</td>\n",
       "      <td>-122.393</td>\n",
       "      <td>1360</td>\n",
       "      <td>5000</td>\n",
       "      <td>2014</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>510000.0</td>\n",
       "      <td>3</td>\n",
       "      <td>2.00</td>\n",
       "      <td>1680</td>\n",
       "      <td>8080</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>8</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1987</td>\n",
       "      <td>0</td>\n",
       "      <td>98074</td>\n",
       "      <td>47.6168</td>\n",
       "      <td>-122.045</td>\n",
       "      <td>1800</td>\n",
       "      <td>7503</td>\n",
       "      <td>2015</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      price  bedrooms  bathrooms  sqft_living  sqft_lot  floors  waterfront  \\\n",
       "0  221900.0         3       1.00         1180      5650     1.0           0   \n",
       "1  538000.0         3       2.25         2570      7242     2.0           0   \n",
       "2  180000.0         2       1.00          770     10000     1.0           0   \n",
       "3  604000.0         4       3.00         1960      5000     1.0           0   \n",
       "4  510000.0         3       2.00         1680      8080     1.0           0   \n",
       "\n",
       "   view  condition  grade  ...  sqft_basement  yr_built  yr_renovated  \\\n",
       "0     0          3      7  ...              0      1955             0   \n",
       "1     0          3      7  ...            400      1951          1991   \n",
       "2     0          3      6  ...              0      1933             0   \n",
       "3     0          5      7  ...            910      1965             0   \n",
       "4     0          3      8  ...              0      1987             0   \n",
       "\n",
       "   zipcode      lat     long  sqft_living15  sqft_lot15  year  month  \n",
       "0    98178  47.5112 -122.257           1340        5650  2014     10  \n",
       "1    98125  47.7210 -122.319           1690        7639  2014     12  \n",
       "2    98028  47.7379 -122.233           2720        8062  2015      2  \n",
       "3    98136  47.5208 -122.393           1360        5000  2014     12  \n",
       "4    98074  47.6168 -122.045           1800        7503  2015      2  \n",
       "\n",
       "[5 rows x 21 columns]"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "fd77f023",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='price', ylabel='month'>"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.scatterplot(data = df, x='price', y='month')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "6e9b2ea6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='month', ylabel='price'>"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(data = df, x='month', y = 'price')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "783b9b8a",
   "metadata": {},
   "outputs": [],
   "source": [
    "##df['zipcode'].value_counts()\n",
    "df = df.drop('zipcode', axis = 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "df2c18ea",
   "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>price</th>\n",
       "      <th>bedrooms</th>\n",
       "      <th>bathrooms</th>\n",
       "      <th>sqft_living</th>\n",
       "      <th>sqft_lot</th>\n",
       "      <th>floors</th>\n",
       "      <th>waterfront</th>\n",
       "      <th>view</th>\n",
       "      <th>condition</th>\n",
       "      <th>grade</th>\n",
       "      <th>sqft_above</th>\n",
       "      <th>sqft_basement</th>\n",
       "      <th>yr_built</th>\n",
       "      <th>yr_renovated</th>\n",
       "      <th>lat</th>\n",
       "      <th>long</th>\n",
       "      <th>sqft_living15</th>\n",
       "      <th>sqft_lot15</th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>221900.0</td>\n",
       "      <td>3</td>\n",
       "      <td>1.00</td>\n",
       "      <td>1180</td>\n",
       "      <td>5650</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>7</td>\n",
       "      <td>1180</td>\n",
       "      <td>0</td>\n",
       "      <td>1955</td>\n",
       "      <td>0</td>\n",
       "      <td>47.5112</td>\n",
       "      <td>-122.257</td>\n",
       "      <td>1340</td>\n",
       "      <td>5650</td>\n",
       "      <td>2014</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>538000.0</td>\n",
       "      <td>3</td>\n",
       "      <td>2.25</td>\n",
       "      <td>2570</td>\n",
       "      <td>7242</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>7</td>\n",
       "      <td>2170</td>\n",
       "      <td>400</td>\n",
       "      <td>1951</td>\n",
       "      <td>1991</td>\n",
       "      <td>47.7210</td>\n",
       "      <td>-122.319</td>\n",
       "      <td>1690</td>\n",
       "      <td>7639</td>\n",
       "      <td>2014</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>180000.0</td>\n",
       "      <td>2</td>\n",
       "      <td>1.00</td>\n",
       "      <td>770</td>\n",
       "      <td>10000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>770</td>\n",
       "      <td>0</td>\n",
       "      <td>1933</td>\n",
       "      <td>0</td>\n",
       "      <td>47.7379</td>\n",
       "      <td>-122.233</td>\n",
       "      <td>2720</td>\n",
       "      <td>8062</td>\n",
       "      <td>2015</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>604000.0</td>\n",
       "      <td>4</td>\n",
       "      <td>3.00</td>\n",
       "      <td>1960</td>\n",
       "      <td>5000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>1050</td>\n",
       "      <td>910</td>\n",
       "      <td>1965</td>\n",
       "      <td>0</td>\n",
       "      <td>47.5208</td>\n",
       "      <td>-122.393</td>\n",
       "      <td>1360</td>\n",
       "      <td>5000</td>\n",
       "      <td>2014</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>510000.0</td>\n",
       "      <td>3</td>\n",
       "      <td>2.00</td>\n",
       "      <td>1680</td>\n",
       "      <td>8080</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>8</td>\n",
       "      <td>1680</td>\n",
       "      <td>0</td>\n",
       "      <td>1987</td>\n",
       "      <td>0</td>\n",
       "      <td>47.6168</td>\n",
       "      <td>-122.045</td>\n",
       "      <td>1800</td>\n",
       "      <td>7503</td>\n",
       "      <td>2015</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      price  bedrooms  bathrooms  sqft_living  sqft_lot  floors  waterfront  \\\n",
       "0  221900.0         3       1.00         1180      5650     1.0           0   \n",
       "1  538000.0         3       2.25         2570      7242     2.0           0   \n",
       "2  180000.0         2       1.00          770     10000     1.0           0   \n",
       "3  604000.0         4       3.00         1960      5000     1.0           0   \n",
       "4  510000.0         3       2.00         1680      8080     1.0           0   \n",
       "\n",
       "   view  condition  grade  sqft_above  sqft_basement  yr_built  yr_renovated  \\\n",
       "0     0          3      7        1180              0      1955             0   \n",
       "1     0          3      7        2170            400      1951          1991   \n",
       "2     0          3      6         770              0      1933             0   \n",
       "3     0          5      7        1050            910      1965             0   \n",
       "4     0          3      8        1680              0      1987             0   \n",
       "\n",
       "       lat     long  sqft_living15  sqft_lot15  year  month  \n",
       "0  47.5112 -122.257           1340        5650  2014     10  \n",
       "1  47.7210 -122.319           1690        7639  2014     12  \n",
       "2  47.7379 -122.233           2720        8062  2015      2  \n",
       "3  47.5208 -122.393           1360        5000  2014     12  \n",
       "4  47.6168 -122.045           1800        7503  2015      2  "
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "3ba0c2ae",
   "metadata": {},
   "outputs": [],
   "source": [
    "X = df.drop('price', axis = 1).values\n",
    "y = df['price'].values\n",
    "\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size = 0.3,\n",
    "                                                   random_state = 101)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "bb71073b",
   "metadata": {},
   "outputs": [],
   "source": [
    "scaler = MinMaxScaler()\n",
    "\n",
    "X_train = scaler.fit_transform(X_train)\n",
    "X_test = scaler.transform(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "e51b6428",
   "metadata": {},
   "outputs": [],
   "source": [
    "model = Sequential()\n",
    "\n",
    "model.add(Dense(19, activation='relu'))\n",
    "model.add(Dense(19, activation='relu'))\n",
    "model.add(Dense(19, activation='relu'))\n",
    "model.add(Dense(19, activation='relu'))\n",
    "\n",
    "model.add(Dense(1))\n",
    "\n",
    "model.compile(optimizer='adam', loss='mse')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "a1304689",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/300\n",
      "119/119 [==============================] - 1s 3ms/step - loss: 430233190400.0000 - val_loss: 418868625408.0000\n",
      "Epoch 2/300\n",
      "119/119 [==============================] - 0s 804us/step - loss: 428383272960.0000 - val_loss: 412454977536.0000\n",
      "Epoch 3/300\n",
      "119/119 [==============================] - 0s 797us/step - loss: 403040894976.0000 - val_loss: 355307913216.0000\n",
      "Epoch 4/300\n",
      "119/119 [==============================] - 0s 797us/step - loss: 289842364416.0000 - val_loss: 190386847744.0000\n",
      "Epoch 5/300\n",
      "119/119 [==============================] - 0s 814us/step - loss: 134495166464.0000 - val_loss: 97877893120.0000\n",
      "Epoch 6/300\n",
      "119/119 [==============================] - 0s 788us/step - loss: 99003998208.0000 - val_loss: 94634426368.0000\n",
      "Epoch 7/300\n",
      "119/119 [==============================] - 0s 780us/step - loss: 96869539840.0000 - val_loss: 92964503552.0000\n",
      "Epoch 8/300\n",
      "119/119 [==============================] - 0s 771us/step - loss: 95017058304.0000 - val_loss: 91157118976.0000\n",
      "Epoch 9/300\n",
      "119/119 [==============================] - 0s 797us/step - loss: 93138141184.0000 - val_loss: 89359777792.0000\n",
      "Epoch 10/300\n",
      "119/119 [==============================] - 0s 779us/step - loss: 91231748096.0000 - val_loss: 87549927424.0000\n",
      "Epoch 11/300\n",
      "119/119 [==============================] - 0s 788us/step - loss: 89248096256.0000 - val_loss: 85557698560.0000\n",
      "Epoch 12/300\n",
      "119/119 [==============================] - 0s 788us/step - loss: 87181672448.0000 - val_loss: 83551518720.0000\n",
      "Epoch 13/300\n",
      "119/119 [==============================] - 0s 772us/step - loss: 85009022976.0000 - val_loss: 81428389888.0000\n",
      "Epoch 14/300\n",
      "119/119 [==============================] - 0s 780us/step - loss: 82756698112.0000 - val_loss: 79208833024.0000\n",
      "Epoch 15/300\n",
      "119/119 [==============================] - 0s 788us/step - loss: 80519790592.0000 - val_loss: 77035397120.0000\n",
      "Epoch 16/300\n",
      "119/119 [==============================] - 0s 797us/step - loss: 78076600320.0000 - val_loss: 74768146432.0000\n",
      "Epoch 17/300\n",
      "119/119 [==============================] - 0s 788us/step - loss: 75613413376.0000 - val_loss: 72293687296.0000\n",
      "Epoch 18/300\n",
      "119/119 [==============================] - 0s 797us/step - loss: 73031942144.0000 - val_loss: 69719638016.0000\n",
      "Epoch 19/300\n",
      "119/119 [==============================] - 0s 775us/step - loss: 70457982976.0000 - val_loss: 67255336960.0000\n",
      "Epoch 20/300\n",
      "119/119 [==============================] - 0s 780us/step - loss: 67811192832.0000 - val_loss: 64642121728.0000\n",
      "Epoch 21/300\n",
      "119/119 [==============================] - 0s 788us/step - loss: 65162911744.0000 - val_loss: 62107750400.0000\n",
      "Epoch 22/300\n",
      "119/119 [==============================] - 0s 771us/step - loss: 62612537344.0000 - val_loss: 59777560576.0000\n",
      "Epoch 23/300\n",
      "119/119 [==============================] - 0s 789us/step - loss: 60270735360.0000 - val_loss: 57526448128.0000\n",
      "Epoch 24/300\n",
      "119/119 [==============================] - 0s 780us/step - loss: 58095095808.0000 - val_loss: 55591673856.0000\n",
      "Epoch 25/300\n",
      "119/119 [==============================] - 0s 780us/step - loss: 56207134720.0000 - val_loss: 53965635584.0000\n",
      "Epoch 26/300\n",
      "119/119 [==============================] - 0s 780us/step - loss: 54595768320.0000 - val_loss: 52490874880.0000\n",
      "Epoch 27/300\n",
      "119/119 [==============================] - 0s 780us/step - loss: 53236387840.0000 - val_loss: 51388420096.0000\n",
      "Epoch 28/300\n",
      "119/119 [==============================] - 0s 788us/step - loss: 52180725760.0000 - val_loss: 50446483456.0000\n",
      "Epoch 29/300\n",
      "119/119 [==============================] - 0s 780us/step - loss: 51253952512.0000 - val_loss: 49540567040.0000\n",
      "Epoch 30/300\n",
      "119/119 [==============================] - 0s 780us/step - loss: 50444001280.0000 - val_loss: 48894668800.0000\n",
      "Epoch 31/300\n",
      "119/119 [==============================] - 0s 770us/step - loss: 49776840704.0000 - val_loss: 48308158464.0000\n",
      "Epoch 32/300\n",
      "119/119 [==============================] - 0s 763us/step - loss: 49209659392.0000 - val_loss: 47732686848.0000\n",
      "Epoch 33/300\n",
      "119/119 [==============================] - 0s 754us/step - loss: 48640004096.0000 - val_loss: 47298179072.0000\n",
      "Epoch 34/300\n",
      "119/119 [==============================] - 0s 770us/step - loss: 48127164416.0000 - val_loss: 46773780480.0000\n",
      "Epoch 35/300\n",
      "119/119 [==============================] - 0s 764us/step - loss: 47685058560.0000 - val_loss: 46305607680.0000\n",
      "Epoch 36/300\n",
      "119/119 [==============================] - 0s 771us/step - loss: 47181225984.0000 - val_loss: 45879607296.0000\n",
      "Epoch 37/300\n",
      "119/119 [==============================] - 0s 771us/step - loss: 46735568896.0000 - val_loss: 45432340480.0000\n",
      "Epoch 38/300\n",
      "119/119 [==============================] - 0s 771us/step - loss: 46327472128.0000 - val_loss: 45023936512.0000\n",
      "Epoch 39/300\n",
      "119/119 [==============================] - 0s 763us/step - loss: 45874184192.0000 - val_loss: 44568170496.0000\n",
      "Epoch 40/300\n",
      "119/119 [==============================] - 0s 771us/step - loss: 45464203264.0000 - val_loss: 44157374464.0000\n",
      "Epoch 41/300\n",
      "119/119 [==============================] - 0s 763us/step - loss: 45011787776.0000 - val_loss: 43724730368.0000\n",
      "Epoch 42/300\n",
      "119/119 [==============================] - 0s 779us/step - loss: 44610506752.0000 - val_loss: 43309621248.0000\n",
      "Epoch 43/300\n",
      "119/119 [==============================] - 0s 779us/step - loss: 44175978496.0000 - val_loss: 42960379904.0000\n",
      "Epoch 44/300\n",
      "119/119 [==============================] - 0s 780us/step - loss: 43855544320.0000 - val_loss: 42519932928.0000\n",
      "Epoch 45/300\n",
      "119/119 [==============================] - 0s 787us/step - loss: 43424944128.0000 - val_loss: 42133118976.0000\n",
      "Epoch 46/300\n",
      "119/119 [==============================] - 0s 778us/step - loss: 43039207424.0000 - val_loss: 41756442624.0000\n",
      "Epoch 47/300\n",
      "119/119 [==============================] - 0s 780us/step - loss: 42684092416.0000 - val_loss: 41408016384.0000\n",
      "Epoch 48/300\n",
      "119/119 [==============================] - 0s 770us/step - loss: 42355077120.0000 - val_loss: 41030893568.0000\n",
      "Epoch 49/300\n",
      "119/119 [==============================] - 0s 797us/step - loss: 41983217664.0000 - val_loss: 40703315968.0000\n",
      "Epoch 50/300\n",
      "119/119 [==============================] - 0s 780us/step - loss: 41623863296.0000 - val_loss: 40371904512.0000\n",
      "Epoch 51/300\n",
      "119/119 [==============================] - 0s 771us/step - loss: 41306009600.0000 - val_loss: 39992901632.0000\n",
      "Epoch 52/300\n",
      "119/119 [==============================] - 0s 780us/step - loss: 40960266240.0000 - val_loss: 39688687616.0000\n",
      "Epoch 53/300\n",
      "119/119 [==============================] - 0s 787us/step - loss: 40659599360.0000 - val_loss: 39366320128.0000\n",
      "Epoch 54/300\n",
      "119/119 [==============================] - 0s 771us/step - loss: 40344772608.0000 - val_loss: 39123374080.0000\n",
      "Epoch 55/300\n",
      "119/119 [==============================] - 0s 771us/step - loss: 40088473600.0000 - val_loss: 38781648896.0000\n",
      "Epoch 56/300\n",
      "119/119 [==============================] - 0s 780us/step - loss: 39829139456.0000 - val_loss: 38546661376.0000\n",
      "Epoch 57/300\n",
      "119/119 [==============================] - 0s 805us/step - loss: 39587102720.0000 - val_loss: 38237257728.0000\n",
      "Epoch 58/300\n",
      "119/119 [==============================] - 0s 805us/step - loss: 39331864576.0000 - val_loss: 38012788736.0000\n",
      "Epoch 59/300\n",
      "119/119 [==============================] - 0s 788us/step - loss: 39055298560.0000 - val_loss: 37738975232.0000\n",
      "Epoch 60/300\n",
      "119/119 [==============================] - 0s 796us/step - loss: 38809186304.0000 - val_loss: 37539676160.0000\n",
      "Epoch 61/300\n",
      "119/119 [==============================] - 0s 780us/step - loss: 38568566784.0000 - val_loss: 37322461184.0000\n",
      "Epoch 62/300\n",
      "119/119 [==============================] - 0s 771us/step - loss: 38331375616.0000 - val_loss: 37065756672.0000\n",
      "Epoch 63/300\n",
      "119/119 [==============================] - 0s 788us/step - loss: 38087720960.0000 - val_loss: 36788150272.0000\n",
      "Epoch 64/300\n",
      "119/119 [==============================] - 0s 771us/step - loss: 37888696320.0000 - val_loss: 36547207168.0000\n",
      "Epoch 65/300\n",
      "119/119 [==============================] - 0s 771us/step - loss: 37692952576.0000 - val_loss: 36339712000.0000\n",
      "Epoch 66/300\n",
      "119/119 [==============================] - 0s 780us/step - loss: 37475930112.0000 - val_loss: 36132462592.0000\n",
      "Epoch 67/300\n",
      "119/119 [==============================] - 0s 771us/step - loss: 37271654400.0000 - val_loss: 35946786816.0000\n",
      "Epoch 68/300\n",
      "119/119 [==============================] - 0s 780us/step - loss: 37077291008.0000 - val_loss: 35747921920.0000\n",
      "Epoch 69/300\n",
      "119/119 [==============================] - 0s 780us/step - loss: 36873822208.0000 - val_loss: 35573256192.0000\n",
      "Epoch 70/300\n",
      "119/119 [==============================] - 0s 771us/step - loss: 36732227584.0000 - val_loss: 35398332416.0000\n",
      "Epoch 71/300\n",
      "119/119 [==============================] - 0s 780us/step - loss: 36564652032.0000 - val_loss: 35253190656.0000\n",
      "Epoch 72/300\n",
      "119/119 [==============================] - 0s 762us/step - loss: 36438507520.0000 - val_loss: 35085508608.0000\n",
      "Epoch 73/300\n",
      "119/119 [==============================] - 0s 771us/step - loss: 36272095232.0000 - val_loss: 34949406720.0000\n",
      "Epoch 74/300\n",
      "119/119 [==============================] - 0s 780us/step - loss: 36142157824.0000 - val_loss: 34817826816.0000\n",
      "Epoch 75/300\n",
      "119/119 [==============================] - 0s 788us/step - loss: 35986235392.0000 - val_loss: 34714849280.0000\n",
      "Epoch 76/300\n",
      "119/119 [==============================] - 0s 788us/step - loss: 35863220224.0000 - val_loss: 34567077888.0000\n",
      "Epoch 77/300\n",
      "119/119 [==============================] - 0s 780us/step - loss: 35782713344.0000 - val_loss: 34453184512.0000\n",
      "Epoch 78/300\n",
      "119/119 [==============================] - 0s 780us/step - loss: 35648110592.0000 - val_loss: 34593783808.0000\n",
      "Epoch 79/300\n",
      "119/119 [==============================] - 0s 771us/step - loss: 35641950208.0000 - val_loss: 34257485824.0000\n",
      "Epoch 80/300\n",
      "119/119 [==============================] - 0s 780us/step - loss: 35446947840.0000 - val_loss: 34154760192.0000\n",
      "Epoch 81/300\n",
      "119/119 [==============================] - 0s 771us/step - loss: 35345563648.0000 - val_loss: 34077933568.0000\n",
      "Epoch 82/300\n",
      "119/119 [==============================] - 0s 765us/step - loss: 35266306048.0000 - val_loss: 33982652416.0000\n",
      "Epoch 83/300\n",
      "119/119 [==============================] - 0s 771us/step - loss: 35181735936.0000 - val_loss: 33896030208.0000\n",
      "Epoch 84/300\n",
      "119/119 [==============================] - 0s 771us/step - loss: 35151073280.0000 - val_loss: 33812359168.0000\n",
      "Epoch 85/300\n",
      "119/119 [==============================] - 0s 779us/step - loss: 35006033920.0000 - val_loss: 33806194688.0000\n",
      "Epoch 86/300\n",
      "119/119 [==============================] - 0s 788us/step - loss: 34921881600.0000 - val_loss: 33694988288.0000\n",
      "Epoch 87/300\n",
      "119/119 [==============================] - 0s 763us/step - loss: 34977964032.0000 - val_loss: 33580384256.0000\n",
      "Epoch 88/300\n",
      "119/119 [==============================] - 0s 770us/step - loss: 34774822912.0000 - val_loss: 33504598016.0000\n",
      "Epoch 89/300\n",
      "119/119 [==============================] - 0s 761us/step - loss: 34713022464.0000 - val_loss: 33439248384.0000\n",
      "Epoch 90/300\n",
      "119/119 [==============================] - 0s 771us/step - loss: 34664513536.0000 - val_loss: 33367697408.0000\n",
      "Epoch 91/300\n",
      "119/119 [==============================] - 0s 763us/step - loss: 34574442496.0000 - val_loss: 33310963712.0000\n",
      "Epoch 92/300\n",
      "119/119 [==============================] - 0s 771us/step - loss: 34496692224.0000 - val_loss: 33270372352.0000\n",
      "Epoch 93/300\n",
      "119/119 [==============================] - 0s 805us/step - loss: 34454052864.0000 - val_loss: 33193574400.0000\n",
      "Epoch 94/300\n",
      "119/119 [==============================] - 0s 814us/step - loss: 34387177472.0000 - val_loss: 33115518976.0000\n",
      "Epoch 95/300\n",
      "119/119 [==============================] - 0s 822us/step - loss: 34323286016.0000 - val_loss: 33183451136.0000\n",
      "Epoch 96/300\n",
      "119/119 [==============================] - 0s 804us/step - loss: 34264930304.0000 - val_loss: 32965076992.0000\n",
      "Epoch 97/300\n",
      "119/119 [==============================] - 0s 780us/step - loss: 34299455488.0000 - val_loss: 32900980736.0000\n",
      "Epoch 98/300\n",
      "119/119 [==============================] - 0s 797us/step - loss: 34127319040.0000 - val_loss: 32837009408.0000\n",
      "Epoch 99/300\n",
      "119/119 [==============================] - 0s 1ms/step - loss: 34081044480.0000 - val_loss: 32818227200.0000\n",
      "Epoch 100/300\n",
      "119/119 [==============================] - 0s 1ms/step - loss: 34036776960.0000 - val_loss: 32777572352.0000\n",
      "Epoch 101/300\n",
      "119/119 [==============================] - 0s 1ms/step - loss: 33987037184.0000 - val_loss: 32694913024.0000\n",
      "Epoch 102/300\n",
      "119/119 [==============================] - 0s 1ms/step - loss: 33911472128.0000 - val_loss: 32610144256.0000\n",
      "Epoch 103/300\n",
      "119/119 [==============================] - 0s 831us/step - loss: 33852084224.0000 - val_loss: 32574849024.0000\n",
      "Epoch 104/300\n",
      "119/119 [==============================] - 0s 889us/step - loss: 33815562240.0000 - val_loss: 32502808576.0000\n",
      "Epoch 105/300\n",
      "119/119 [==============================] - 0s 856us/step - loss: 33750497280.0000 - val_loss: 32428802048.0000\n",
      "Epoch 106/300\n",
      "119/119 [==============================] - 0s 797us/step - loss: 33731907584.0000 - val_loss: 32370679808.0000\n",
      "Epoch 107/300\n",
      "119/119 [==============================] - 0s 805us/step - loss: 33682419712.0000 - val_loss: 32365176832.0000\n",
      "Epoch 108/300\n",
      "119/119 [==============================] - 0s 805us/step - loss: 33637449728.0000 - val_loss: 32245342208.0000\n",
      "Epoch 109/300\n",
      "119/119 [==============================] - 0s 831us/step - loss: 33558736896.0000 - val_loss: 32179814400.0000\n",
      "Epoch 110/300\n",
      "119/119 [==============================] - 0s 805us/step - loss: 33530572800.0000 - val_loss: 32132378624.0000\n",
      "Epoch 111/300\n",
      "119/119 [==============================] - 0s 805us/step - loss: 33465315328.0000 - val_loss: 32090169344.0000\n",
      "Epoch 112/300\n",
      "119/119 [==============================] - 0s 822us/step - loss: 33421580288.0000 - val_loss: 32066107392.0000\n",
      "Epoch 113/300\n",
      "119/119 [==============================] - 0s 805us/step - loss: 33383452672.0000 - val_loss: 32006918144.0000\n",
      "Epoch 114/300\n",
      "119/119 [==============================] - 0s 822us/step - loss: 33339371520.0000 - val_loss: 31956490240.0000\n",
      "Epoch 115/300\n",
      "119/119 [==============================] - 0s 831us/step - loss: 33306253312.0000 - val_loss: 31980904448.0000\n",
      "Epoch 116/300\n",
      "119/119 [==============================] - 0s 814us/step - loss: 33318176768.0000 - val_loss: 31834970112.0000\n",
      "Epoch 117/300\n",
      "119/119 [==============================] - 0s 814us/step - loss: 33233375232.0000 - val_loss: 31770601472.0000\n",
      "Epoch 118/300\n",
      "119/119 [==============================] - 0s 805us/step - loss: 33172641792.0000 - val_loss: 31727257600.0000\n",
      "Epoch 119/300\n",
      "119/119 [==============================] - 0s 814us/step - loss: 33148278784.0000 - val_loss: 31682416640.0000\n",
      "Epoch 120/300\n",
      "119/119 [==============================] - 0s 822us/step - loss: 33062035456.0000 - val_loss: 32018249728.0000\n",
      "Epoch 121/300\n",
      "119/119 [==============================] - 0s 814us/step - loss: 33091252224.0000 - val_loss: 31634589696.0000\n",
      "Epoch 122/300\n",
      "119/119 [==============================] - 0s 839us/step - loss: 33003079680.0000 - val_loss: 31603378176.0000\n",
      "Epoch 123/300\n",
      "119/119 [==============================] - 0s 797us/step - loss: 32981446656.0000 - val_loss: 31517779968.0000\n",
      "Epoch 124/300\n",
      "119/119 [==============================] - 0s 797us/step - loss: 32954554368.0000 - val_loss: 31494541312.0000\n",
      "Epoch 125/300\n",
      "119/119 [==============================] - 0s 831us/step - loss: 32935430144.0000 - val_loss: 31424804864.0000\n",
      "Epoch 126/300\n",
      "119/119 [==============================] - 0s 797us/step - loss: 32885260288.0000 - val_loss: 31377643520.0000\n",
      "Epoch 127/300\n",
      "119/119 [==============================] - 0s 805us/step - loss: 32847329280.0000 - val_loss: 31573757952.0000\n",
      "Epoch 128/300\n",
      "119/119 [==============================] - 0s 838us/step - loss: 32835903488.0000 - val_loss: 31301261312.0000\n",
      "Epoch 129/300\n",
      "119/119 [==============================] - 0s 814us/step - loss: 32774359040.0000 - val_loss: 31271749632.0000\n",
      "Epoch 130/300\n",
      "119/119 [==============================] - 0s 805us/step - loss: 32746483712.0000 - val_loss: 31260665856.0000\n",
      "Epoch 131/300\n",
      "119/119 [==============================] - 0s 797us/step - loss: 32730290176.0000 - val_loss: 31259693056.0000\n",
      "Epoch 132/300\n",
      "119/119 [==============================] - 0s 805us/step - loss: 32678914048.0000 - val_loss: 31150452736.0000\n",
      "Epoch 133/300\n",
      "119/119 [==============================] - 0s 797us/step - loss: 32681510912.0000 - val_loss: 31203346432.0000\n",
      "Epoch 134/300\n",
      "119/119 [==============================] - 0s 797us/step - loss: 32588636160.0000 - val_loss: 31062288384.0000\n",
      "Epoch 135/300\n",
      "119/119 [==============================] - 0s 797us/step - loss: 32559446016.0000 - val_loss: 31029538816.0000\n",
      "Epoch 136/300\n",
      "119/119 [==============================] - 0s 814us/step - loss: 32562106368.0000 - val_loss: 31061813248.0000\n",
      "Epoch 137/300\n",
      "119/119 [==============================] - 0s 814us/step - loss: 32543246336.0000 - val_loss: 30966134784.0000\n",
      "Epoch 138/300\n",
      "119/119 [==============================] - 0s 788us/step - loss: 32483391488.0000 - val_loss: 30920282112.0000\n",
      "Epoch 139/300\n",
      "119/119 [==============================] - 0s 805us/step - loss: 32461086720.0000 - val_loss: 30889392128.0000\n",
      "Epoch 140/300\n",
      "119/119 [==============================] - 0s 795us/step - loss: 32427995136.0000 - val_loss: 30874183680.0000\n",
      "Epoch 141/300\n",
      "119/119 [==============================] - 0s 797us/step - loss: 32405393408.0000 - val_loss: 30867324928.0000\n",
      "Epoch 142/300\n",
      "119/119 [==============================] - 0s 780us/step - loss: 32397156352.0000 - val_loss: 30789101568.0000\n",
      "Epoch 143/300\n",
      "119/119 [==============================] - 0s 797us/step - loss: 32362620928.0000 - val_loss: 30805768192.0000\n",
      "Epoch 144/300\n",
      "119/119 [==============================] - 0s 788us/step - loss: 32295677952.0000 - val_loss: 30968473600.0000\n",
      "Epoch 145/300\n",
      "119/119 [==============================] - 0s 770us/step - loss: 32284043264.0000 - val_loss: 31013029888.0000\n",
      "Epoch 146/300\n",
      "119/119 [==============================] - 0s 795us/step - loss: 32390785024.0000 - val_loss: 30750148608.0000\n",
      "Epoch 147/300\n",
      "119/119 [==============================] - 0s 780us/step - loss: 32226117632.0000 - val_loss: 30623494144.0000\n",
      "Epoch 148/300\n",
      "119/119 [==============================] - 0s 780us/step - loss: 32208347136.0000 - val_loss: 30644899840.0000\n",
      "Epoch 149/300\n",
      "119/119 [==============================] - 0s 797us/step - loss: 32178001920.0000 - val_loss: 30693574656.0000\n",
      "Epoch 150/300\n",
      "119/119 [==============================] - 0s 778us/step - loss: 32174041088.0000 - val_loss: 30559258624.0000\n",
      "Epoch 151/300\n",
      "119/119 [==============================] - 0s 780us/step - loss: 32130080768.0000 - val_loss: 30572916736.0000\n",
      "Epoch 152/300\n",
      "119/119 [==============================] - 0s 780us/step - loss: 32130500608.0000 - val_loss: 30520707072.0000\n",
      "Epoch 153/300\n",
      "119/119 [==============================] - 0s 771us/step - loss: 32074737664.0000 - val_loss: 30443931648.0000\n",
      "Epoch 154/300\n",
      "119/119 [==============================] - 0s 788us/step - loss: 32102752256.0000 - val_loss: 30509379584.0000\n",
      "Epoch 155/300\n",
      "119/119 [==============================] - 0s 797us/step - loss: 32038449152.0000 - val_loss: 30469421056.0000\n",
      "Epoch 156/300\n",
      "119/119 [==============================] - 0s 771us/step - loss: 32008462336.0000 - val_loss: 30419818496.0000\n",
      "Epoch 157/300\n",
      "119/119 [==============================] - 0s 797us/step - loss: 31983056896.0000 - val_loss: 30338658304.0000\n",
      "Epoch 158/300\n",
      "119/119 [==============================] - 0s 763us/step - loss: 31963914240.0000 - val_loss: 30302769152.0000\n",
      "Epoch 159/300\n",
      "119/119 [==============================] - 0s 780us/step - loss: 31929645056.0000 - val_loss: 30263121920.0000\n",
      "Epoch 160/300\n",
      "119/119 [==============================] - 0s 788us/step - loss: 31909304320.0000 - val_loss: 30491715584.0000\n",
      "Epoch 161/300\n",
      "119/119 [==============================] - 0s 822us/step - loss: 31920730112.0000 - val_loss: 30198571008.0000\n",
      "Epoch 162/300\n",
      "119/119 [==============================] - 0s 780us/step - loss: 31824371712.0000 - val_loss: 30190186496.0000\n",
      "Epoch 163/300\n",
      "119/119 [==============================] - 0s 780us/step - loss: 31903492096.0000 - val_loss: 30182459392.0000\n",
      "Epoch 164/300\n",
      "119/119 [==============================] - 0s 780us/step - loss: 31831451648.0000 - val_loss: 30126460928.0000\n",
      "Epoch 165/300\n",
      "119/119 [==============================] - 0s 763us/step - loss: 31792457728.0000 - val_loss: 30163394560.0000\n",
      "Epoch 166/300\n",
      "119/119 [==============================] - 0s 780us/step - loss: 31783895040.0000 - val_loss: 30106740736.0000\n",
      "Epoch 167/300\n",
      "119/119 [==============================] - 0s 788us/step - loss: 31780878336.0000 - val_loss: 30046310400.0000\n",
      "Epoch 168/300\n",
      "119/119 [==============================] - 0s 796us/step - loss: 31710767104.0000 - val_loss: 30184992768.0000\n",
      "Epoch 169/300\n",
      "119/119 [==============================] - 0s 804us/step - loss: 31748939776.0000 - val_loss: 30018347008.0000\n",
      "Epoch 170/300\n",
      "119/119 [==============================] - 0s 797us/step - loss: 31682306048.0000 - val_loss: 29974478848.0000\n",
      "Epoch 171/300\n",
      "119/119 [==============================] - 0s 797us/step - loss: 31677925376.0000 - val_loss: 30056761344.0000\n",
      "Epoch 172/300\n",
      "119/119 [==============================] - 0s 782us/step - loss: 31837415424.0000 - val_loss: 29933524992.0000\n",
      "Epoch 173/300\n",
      "119/119 [==============================] - 0s 780us/step - loss: 31663503360.0000 - val_loss: 30032556032.0000\n",
      "Epoch 174/300\n",
      "119/119 [==============================] - 0s 780us/step - loss: 31631525888.0000 - val_loss: 29929416704.0000\n",
      "Epoch 175/300\n",
      "119/119 [==============================] - 0s 1ms/step - loss: 31624878080.0000 - val_loss: 29900460032.0000\n",
      "Epoch 176/300\n",
      "119/119 [==============================] - 0s 873us/step - loss: 31581601792.0000 - val_loss: 29882664960.0000\n",
      "Epoch 177/300\n",
      "119/119 [==============================] - 0s 821us/step - loss: 31598907392.0000 - val_loss: 29833715712.0000\n",
      "Epoch 178/300\n",
      "119/119 [==============================] - 0s 839us/step - loss: 31562731520.0000 - val_loss: 29799081984.0000\n",
      "Epoch 179/300\n",
      "119/119 [==============================] - 0s 805us/step - loss: 31593027584.0000 - val_loss: 29795647488.0000\n",
      "Epoch 180/300\n",
      "119/119 [==============================] - 0s 788us/step - loss: 31541587968.0000 - val_loss: 29790720000.0000\n",
      "Epoch 181/300\n",
      "119/119 [==============================] - 0s 796us/step - loss: 31512662016.0000 - val_loss: 29753460736.0000\n",
      "Epoch 182/300\n",
      "119/119 [==============================] - 0s 782us/step - loss: 31457357824.0000 - val_loss: 29782470656.0000\n",
      "Epoch 183/300\n",
      "119/119 [==============================] - 0s 780us/step - loss: 31484153856.0000 - val_loss: 29719572480.0000\n",
      "Epoch 184/300\n",
      "119/119 [==============================] - 0s 797us/step - loss: 31438972928.0000 - val_loss: 29708310528.0000\n",
      "Epoch 185/300\n",
      "119/119 [==============================] - 0s 788us/step - loss: 31419281408.0000 - val_loss: 29708527616.0000\n",
      "Epoch 186/300\n",
      "119/119 [==============================] - 0s 788us/step - loss: 31383574528.0000 - val_loss: 29798391808.0000\n",
      "Epoch 187/300\n",
      "119/119 [==============================] - 0s 780us/step - loss: 31430756352.0000 - val_loss: 29623496704.0000\n",
      "Epoch 188/300\n",
      "119/119 [==============================] - 0s 814us/step - loss: 31393071104.0000 - val_loss: 29592469504.0000\n",
      "Epoch 189/300\n",
      "119/119 [==============================] - 0s 797us/step - loss: 31330093056.0000 - val_loss: 29609820160.0000\n",
      "Epoch 190/300\n",
      "119/119 [==============================] - 0s 780us/step - loss: 31329579008.0000 - val_loss: 29563662336.0000\n",
      "Epoch 191/300\n",
      "119/119 [==============================] - 0s 788us/step - loss: 31315896320.0000 - val_loss: 29617029120.0000\n",
      "Epoch 192/300\n",
      "119/119 [==============================] - 0s 780us/step - loss: 31336925184.0000 - val_loss: 29497657344.0000\n",
      "Epoch 193/300\n",
      "119/119 [==============================] - 0s 780us/step - loss: 31292704768.0000 - val_loss: 29465462784.0000\n",
      "Epoch 194/300\n",
      "119/119 [==============================] - 0s 788us/step - loss: 31268925440.0000 - val_loss: 29456568320.0000\n",
      "Epoch 195/300\n",
      "119/119 [==============================] - 0s 797us/step - loss: 31239698432.0000 - val_loss: 29436733440.0000\n",
      "Epoch 196/300\n",
      "119/119 [==============================] - 0s 780us/step - loss: 31244734464.0000 - val_loss: 29404205056.0000\n",
      "Epoch 197/300\n",
      "119/119 [==============================] - 0s 780us/step - loss: 31251970048.0000 - val_loss: 29446264832.0000\n",
      "Epoch 198/300\n",
      "119/119 [==============================] - 0s 788us/step - loss: 31257919488.0000 - val_loss: 29373210624.0000\n",
      "Epoch 199/300\n",
      "119/119 [==============================] - 0s 797us/step - loss: 31204515840.0000 - val_loss: 29396838400.0000\n",
      "Epoch 200/300\n",
      "119/119 [==============================] - 0s 788us/step - loss: 31179986944.0000 - val_loss: 29347407872.0000\n",
      "Epoch 201/300\n",
      "119/119 [==============================] - 0s 780us/step - loss: 31169331200.0000 - val_loss: 29440907264.0000\n",
      "Epoch 202/300\n",
      "119/119 [==============================] - 0s 814us/step - loss: 31152355328.0000 - val_loss: 29454497792.0000\n",
      "Epoch 203/300\n",
      "119/119 [==============================] - 0s 771us/step - loss: 31140184064.0000 - val_loss: 29325336576.0000\n",
      "Epoch 204/300\n",
      "119/119 [==============================] - 0s 788us/step - loss: 31164997632.0000 - val_loss: 29244923904.0000\n",
      "Epoch 205/300\n",
      "119/119 [==============================] - 0s 780us/step - loss: 31136555008.0000 - val_loss: 29245536256.0000\n",
      "Epoch 206/300\n",
      "119/119 [==============================] - 0s 788us/step - loss: 31154446336.0000 - val_loss: 29219850240.0000\n",
      "Epoch 207/300\n",
      "119/119 [==============================] - 0s 788us/step - loss: 31096786944.0000 - val_loss: 29228840960.0000\n",
      "Epoch 208/300\n",
      "119/119 [==============================] - 0s 797us/step - loss: 31098501120.0000 - val_loss: 29217316864.0000\n",
      "Epoch 209/300\n",
      "119/119 [==============================] - 0s 805us/step - loss: 31000399872.0000 - val_loss: 29229324288.0000\n",
      "Epoch 210/300\n",
      "119/119 [==============================] - 0s 788us/step - loss: 31013677056.0000 - val_loss: 29175615488.0000\n",
      "Epoch 211/300\n",
      "119/119 [==============================] - 0s 788us/step - loss: 31083081728.0000 - val_loss: 29224980480.0000\n",
      "Epoch 212/300\n",
      "119/119 [==============================] - 0s 814us/step - loss: 31048130560.0000 - val_loss: 29264527360.0000\n",
      "Epoch 213/300\n",
      "119/119 [==============================] - 0s 856us/step - loss: 30974521344.0000 - val_loss: 29296508928.0000\n",
      "Epoch 214/300\n",
      "119/119 [==============================] - 0s 907us/step - loss: 31007889408.0000 - val_loss: 29177526272.0000\n",
      "Epoch 215/300\n",
      "119/119 [==============================] - 0s 831us/step - loss: 30987425792.0000 - val_loss: 29101461504.0000\n",
      "Epoch 216/300\n",
      "119/119 [==============================] - 0s 839us/step - loss: 30959527936.0000 - val_loss: 29059313664.0000\n",
      "Epoch 217/300\n",
      "119/119 [==============================] - 0s 797us/step - loss: 30939359232.0000 - val_loss: 29023260672.0000\n",
      "Epoch 218/300\n",
      "119/119 [==============================] - 0s 788us/step - loss: 30901774336.0000 - val_loss: 29110272000.0000\n",
      "Epoch 219/300\n",
      "119/119 [==============================] - 0s 797us/step - loss: 30895321088.0000 - val_loss: 29125005312.0000\n",
      "Epoch 220/300\n",
      "119/119 [==============================] - 0s 856us/step - loss: 30912528384.0000 - val_loss: 28979122176.0000\n",
      "Epoch 221/300\n",
      "119/119 [==============================] - 0s 814us/step - loss: 30908127232.0000 - val_loss: 28995145728.0000\n",
      "Epoch 222/300\n",
      "119/119 [==============================] - 0s 814us/step - loss: 30891630592.0000 - val_loss: 29003651072.0000\n",
      "Epoch 223/300\n",
      "119/119 [==============================] - 0s 805us/step - loss: 30892544000.0000 - val_loss: 28925470720.0000\n",
      "Epoch 224/300\n",
      "119/119 [==============================] - 0s 797us/step - loss: 30837184512.0000 - val_loss: 28893679616.0000\n",
      "Epoch 225/300\n",
      "119/119 [==============================] - 0s 814us/step - loss: 30805989376.0000 - val_loss: 28945420288.0000\n",
      "Epoch 226/300\n",
      "119/119 [==============================] - 0s 797us/step - loss: 30804480000.0000 - val_loss: 28880193536.0000\n",
      "Epoch 227/300\n",
      "119/119 [==============================] - 0s 788us/step - loss: 30814406656.0000 - val_loss: 28849461248.0000\n",
      "Epoch 228/300\n",
      "119/119 [==============================] - 0s 822us/step - loss: 30829969408.0000 - val_loss: 28861915136.0000\n",
      "Epoch 229/300\n",
      "119/119 [==============================] - 0s 822us/step - loss: 30784501760.0000 - val_loss: 28900261888.0000\n",
      "Epoch 230/300\n",
      "119/119 [==============================] - 0s 805us/step - loss: 30754281472.0000 - val_loss: 28786997248.0000\n",
      "Epoch 231/300\n",
      "119/119 [==============================] - 0s 882us/step - loss: 30722998272.0000 - val_loss: 28879261696.0000\n",
      "Epoch 232/300\n",
      "119/119 [==============================] - 0s 831us/step - loss: 30774018048.0000 - val_loss: 28761917440.0000\n",
      "Epoch 233/300\n",
      "119/119 [==============================] - 0s 831us/step - loss: 30711918592.0000 - val_loss: 28783960064.0000\n",
      "Epoch 234/300\n",
      "119/119 [==============================] - 0s 805us/step - loss: 30708412416.0000 - val_loss: 28762269696.0000\n",
      "Epoch 235/300\n",
      "119/119 [==============================] - 0s 780us/step - loss: 30680983552.0000 - val_loss: 28709816320.0000\n",
      "Epoch 236/300\n",
      "119/119 [==============================] - 0s 788us/step - loss: 30672228352.0000 - val_loss: 28684015616.0000\n",
      "Epoch 237/300\n",
      "119/119 [==============================] - 0s 822us/step - loss: 30668902400.0000 - val_loss: 28799215616.0000\n",
      "Epoch 238/300\n",
      "119/119 [==============================] - 0s 788us/step - loss: 30682068992.0000 - val_loss: 28690468864.0000\n",
      "Epoch 239/300\n",
      "119/119 [==============================] - 0s 797us/step - loss: 30623971328.0000 - val_loss: 28643026944.0000\n",
      "Epoch 240/300\n",
      "119/119 [==============================] - 0s 805us/step - loss: 30625212416.0000 - val_loss: 28666374144.0000\n",
      "Epoch 241/300\n",
      "119/119 [==============================] - 0s 822us/step - loss: 30654453760.0000 - val_loss: 28613160960.0000\n",
      "Epoch 242/300\n",
      "119/119 [==============================] - 0s 771us/step - loss: 30602643456.0000 - val_loss: 28589287424.0000\n",
      "Epoch 243/300\n",
      "119/119 [==============================] - 0s 814us/step - loss: 30613690368.0000 - val_loss: 28668604416.0000\n",
      "Epoch 244/300\n",
      "119/119 [==============================] - 0s 805us/step - loss: 30562535424.0000 - val_loss: 28637659136.0000\n",
      "Epoch 245/300\n",
      "119/119 [==============================] - 0s 797us/step - loss: 30629998592.0000 - val_loss: 28682893312.0000\n",
      "Epoch 246/300\n",
      "119/119 [==============================] - 0s 814us/step - loss: 30549379072.0000 - val_loss: 28544579584.0000\n",
      "Epoch 247/300\n",
      "119/119 [==============================] - 0s 788us/step - loss: 30558357504.0000 - val_loss: 28563304448.0000\n",
      "Epoch 248/300\n",
      "119/119 [==============================] - 0s 797us/step - loss: 30504509440.0000 - val_loss: 28553615360.0000\n",
      "Epoch 249/300\n",
      "119/119 [==============================] - 0s 788us/step - loss: 30485876736.0000 - val_loss: 28734001152.0000\n",
      "Epoch 250/300\n",
      "119/119 [==============================] - 0s 797us/step - loss: 30501359616.0000 - val_loss: 28498288640.0000\n",
      "Epoch 251/300\n",
      "119/119 [==============================] - 0s 788us/step - loss: 30469470208.0000 - val_loss: 28469612544.0000\n",
      "Epoch 252/300\n",
      "119/119 [==============================] - 0s 805us/step - loss: 30458007552.0000 - val_loss: 28432205824.0000\n",
      "Epoch 253/300\n",
      "119/119 [==============================] - 0s 805us/step - loss: 30440957952.0000 - val_loss: 28438016000.0000\n",
      "Epoch 254/300\n",
      "119/119 [==============================] - 0s 797us/step - loss: 30444756992.0000 - val_loss: 28478699520.0000\n",
      "Epoch 255/300\n",
      "119/119 [==============================] - 0s 805us/step - loss: 30504464384.0000 - val_loss: 28505145344.0000\n",
      "Epoch 256/300\n",
      "119/119 [==============================] - 0s 780us/step - loss: 30393849856.0000 - val_loss: 28429172736.0000\n",
      "Epoch 257/300\n",
      "119/119 [==============================] - 0s 805us/step - loss: 30395723776.0000 - val_loss: 28457316352.0000\n",
      "Epoch 258/300\n",
      "119/119 [==============================] - 0s 797us/step - loss: 30415921152.0000 - val_loss: 28370477056.0000\n",
      "Epoch 259/300\n",
      "119/119 [==============================] - 0s 797us/step - loss: 30366339072.0000 - val_loss: 28380561408.0000\n",
      "Epoch 260/300\n",
      "119/119 [==============================] - 0s 805us/step - loss: 30352588800.0000 - val_loss: 28327899136.0000\n",
      "Epoch 261/300\n",
      "119/119 [==============================] - 0s 797us/step - loss: 30325790720.0000 - val_loss: 28299319296.0000\n",
      "Epoch 262/300\n",
      "119/119 [==============================] - 0s 814us/step - loss: 30346790912.0000 - val_loss: 28282890240.0000\n",
      "Epoch 263/300\n",
      "119/119 [==============================] - 0s 788us/step - loss: 30333235200.0000 - val_loss: 28273868800.0000\n",
      "Epoch 264/300\n",
      "119/119 [==============================] - 0s 890us/step - loss: 30295289856.0000 - val_loss: 28267335680.0000\n",
      "Epoch 265/300\n",
      "119/119 [==============================] - 0s 839us/step - loss: 30294052864.0000 - val_loss: 28382316544.0000\n",
      "Epoch 266/300\n",
      "119/119 [==============================] - 0s 814us/step - loss: 30281459712.0000 - val_loss: 28331503616.0000\n",
      "Epoch 267/300\n",
      "119/119 [==============================] - 0s 788us/step - loss: 30320412672.0000 - val_loss: 28282253312.0000\n",
      "Epoch 268/300\n",
      "119/119 [==============================] - 0s 805us/step - loss: 30238758912.0000 - val_loss: 28249008128.0000\n",
      "Epoch 269/300\n",
      "119/119 [==============================] - 0s 805us/step - loss: 30235387904.0000 - val_loss: 28270891008.0000\n",
      "Epoch 270/300\n",
      "119/119 [==============================] - 0s 797us/step - loss: 30219862016.0000 - val_loss: 28206153728.0000\n",
      "Epoch 271/300\n",
      "119/119 [==============================] - 0s 788us/step - loss: 30203820032.0000 - val_loss: 28172208128.0000\n",
      "Epoch 272/300\n",
      "119/119 [==============================] - 0s 797us/step - loss: 30216599552.0000 - val_loss: 28177377280.0000\n",
      "Epoch 273/300\n",
      "119/119 [==============================] - 0s 780us/step - loss: 30215544832.0000 - val_loss: 28144400384.0000\n",
      "Epoch 274/300\n",
      "119/119 [==============================] - 0s 797us/step - loss: 30180665344.0000 - val_loss: 28149940224.0000\n",
      "Epoch 275/300\n",
      "119/119 [==============================] - 0s 797us/step - loss: 30192738304.0000 - val_loss: 28112590848.0000\n",
      "Epoch 276/300\n",
      "119/119 [==============================] - 0s 797us/step - loss: 30147299328.0000 - val_loss: 28098054144.0000\n",
      "Epoch 277/300\n",
      "119/119 [==============================] - 0s 814us/step - loss: 30138687488.0000 - val_loss: 28069490688.0000\n",
      "Epoch 278/300\n",
      "119/119 [==============================] - 0s 822us/step - loss: 30105341952.0000 - val_loss: 28051179520.0000\n",
      "Epoch 279/300\n",
      "119/119 [==============================] - 0s 831us/step - loss: 30107215872.0000 - val_loss: 28028397568.0000\n",
      "Epoch 280/300\n",
      "119/119 [==============================] - 0s 797us/step - loss: 30119086080.0000 - val_loss: 28013049856.0000\n",
      "Epoch 281/300\n",
      "119/119 [==============================] - 0s 814us/step - loss: 30098857984.0000 - val_loss: 28051953664.0000\n",
      "Epoch 282/300\n",
      "119/119 [==============================] - 0s 856us/step - loss: 30112012288.0000 - val_loss: 28077496320.0000\n",
      "Epoch 283/300\n",
      "119/119 [==============================] - 0s 831us/step - loss: 30052593664.0000 - val_loss: 28003645440.0000\n",
      "Epoch 284/300\n",
      "119/119 [==============================] - 0s 831us/step - loss: 30069422080.0000 - val_loss: 28085628928.0000\n",
      "Epoch 285/300\n",
      "119/119 [==============================] - 0s 882us/step - loss: 30006677504.0000 - val_loss: 27993325568.0000\n",
      "Epoch 286/300\n",
      "119/119 [==============================] - 0s 814us/step - loss: 30030403584.0000 - val_loss: 28069916672.0000\n",
      "Epoch 287/300\n",
      "119/119 [==============================] - 0s 797us/step - loss: 30019237888.0000 - val_loss: 28264491008.0000\n",
      "Epoch 288/300\n",
      "119/119 [==============================] - ETA: 0s - loss: 30474389504.000 - 0s 797us/step - loss: 29992894464.0000 - val_loss: 27936270336.0000\n",
      "Epoch 289/300\n",
      "119/119 [==============================] - 0s 797us/step - loss: 29974149120.0000 - val_loss: 27959949312.0000\n",
      "Epoch 290/300\n",
      "119/119 [==============================] - 0s 865us/step - loss: 29978779648.0000 - val_loss: 27929477120.0000\n",
      "Epoch 291/300\n",
      "119/119 [==============================] - 0s 839us/step - loss: 29965647872.0000 - val_loss: 27928559616.0000\n",
      "Epoch 292/300\n",
      "119/119 [==============================] - 0s 797us/step - loss: 29977262080.0000 - val_loss: 27871989760.0000\n",
      "Epoch 293/300\n",
      "119/119 [==============================] - 0s 788us/step - loss: 29959405568.0000 - val_loss: 27813615616.0000\n",
      "Epoch 294/300\n",
      "119/119 [==============================] - 0s 805us/step - loss: 29929410560.0000 - val_loss: 27800629248.0000\n",
      "Epoch 295/300\n",
      "119/119 [==============================] - 0s 797us/step - loss: 29914372096.0000 - val_loss: 28090902528.0000\n",
      "Epoch 296/300\n",
      "119/119 [==============================] - 0s 822us/step - loss: 29901336576.0000 - val_loss: 27800352768.0000\n",
      "Epoch 297/300\n",
      "119/119 [==============================] - 0s 788us/step - loss: 29905332224.0000 - val_loss: 27793995776.0000\n",
      "Epoch 298/300\n",
      "119/119 [==============================] - 0s 805us/step - loss: 29914843136.0000 - val_loss: 27793473536.0000\n",
      "Epoch 299/300\n",
      "119/119 [==============================] - 0s 814us/step - loss: 29831495680.0000 - val_loss: 27853197312.0000\n",
      "Epoch 300/300\n",
      "119/119 [==============================] - 0s 771us/step - loss: 29836097536.0000 - val_loss: 27769229312.0000\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<keras.callbacks.History at 0x215ec160c50>"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.fit(x=X_train, y=y_train, validation_data=(X_test, y_test),\n",
    "         batch_size=128, epochs=300)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "0b9071d9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'loss': [430233190400.0,\n",
       "  428383272960.0,\n",
       "  403040894976.0,\n",
       "  289842364416.0,\n",
       "  134495166464.0,\n",
       "  99003998208.0,\n",
       "  96869539840.0,\n",
       "  95017058304.0,\n",
       "  93138141184.0,\n",
       "  91231748096.0,\n",
       "  89248096256.0,\n",
       "  87181672448.0,\n",
       "  85009022976.0,\n",
       "  82756698112.0,\n",
       "  80519790592.0,\n",
       "  78076600320.0,\n",
       "  75613413376.0,\n",
       "  73031942144.0,\n",
       "  70457982976.0,\n",
       "  67811192832.0,\n",
       "  65162911744.0,\n",
       "  62612537344.0,\n",
       "  60270735360.0,\n",
       "  58095095808.0,\n",
       "  56207134720.0,\n",
       "  54595768320.0,\n",
       "  53236387840.0,\n",
       "  52180725760.0,\n",
       "  51253952512.0,\n",
       "  50444001280.0,\n",
       "  49776840704.0,\n",
       "  49209659392.0,\n",
       "  48640004096.0,\n",
       "  48127164416.0,\n",
       "  47685058560.0,\n",
       "  47181225984.0,\n",
       "  46735568896.0,\n",
       "  46327472128.0,\n",
       "  45874184192.0,\n",
       "  45464203264.0,\n",
       "  45011787776.0,\n",
       "  44610506752.0,\n",
       "  44175978496.0,\n",
       "  43855544320.0,\n",
       "  43424944128.0,\n",
       "  43039207424.0,\n",
       "  42684092416.0,\n",
       "  42355077120.0,\n",
       "  41983217664.0,\n",
       "  41623863296.0,\n",
       "  41306009600.0,\n",
       "  40960266240.0,\n",
       "  40659599360.0,\n",
       "  40344772608.0,\n",
       "  40088473600.0,\n",
       "  39829139456.0,\n",
       "  39587102720.0,\n",
       "  39331864576.0,\n",
       "  39055298560.0,\n",
       "  38809186304.0,\n",
       "  38568566784.0,\n",
       "  38331375616.0,\n",
       "  38087720960.0,\n",
       "  37888696320.0,\n",
       "  37692952576.0,\n",
       "  37475930112.0,\n",
       "  37271654400.0,\n",
       "  37077291008.0,\n",
       "  36873822208.0,\n",
       "  36732227584.0,\n",
       "  36564652032.0,\n",
       "  36438507520.0,\n",
       "  36272095232.0,\n",
       "  36142157824.0,\n",
       "  35986235392.0,\n",
       "  35863220224.0,\n",
       "  35782713344.0,\n",
       "  35648110592.0,\n",
       "  35641950208.0,\n",
       "  35446947840.0,\n",
       "  35345563648.0,\n",
       "  35266306048.0,\n",
       "  35181735936.0,\n",
       "  35151073280.0,\n",
       "  35006033920.0,\n",
       "  34921881600.0,\n",
       "  34977964032.0,\n",
       "  34774822912.0,\n",
       "  34713022464.0,\n",
       "  34664513536.0,\n",
       "  34574442496.0,\n",
       "  34496692224.0,\n",
       "  34454052864.0,\n",
       "  34387177472.0,\n",
       "  34323286016.0,\n",
       "  34264930304.0,\n",
       "  34299455488.0,\n",
       "  34127319040.0,\n",
       "  34081044480.0,\n",
       "  34036776960.0,\n",
       "  33987037184.0,\n",
       "  33911472128.0,\n",
       "  33852084224.0,\n",
       "  33815562240.0,\n",
       "  33750497280.0,\n",
       "  33731907584.0,\n",
       "  33682419712.0,\n",
       "  33637449728.0,\n",
       "  33558736896.0,\n",
       "  33530572800.0,\n",
       "  33465315328.0,\n",
       "  33421580288.0,\n",
       "  33383452672.0,\n",
       "  33339371520.0,\n",
       "  33306253312.0,\n",
       "  33318176768.0,\n",
       "  33233375232.0,\n",
       "  33172641792.0,\n",
       "  33148278784.0,\n",
       "  33062035456.0,\n",
       "  33091252224.0,\n",
       "  33003079680.0,\n",
       "  32981446656.0,\n",
       "  32954554368.0,\n",
       "  32935430144.0,\n",
       "  32885260288.0,\n",
       "  32847329280.0,\n",
       "  32835903488.0,\n",
       "  32774359040.0,\n",
       "  32746483712.0,\n",
       "  32730290176.0,\n",
       "  32678914048.0,\n",
       "  32681510912.0,\n",
       "  32588636160.0,\n",
       "  32559446016.0,\n",
       "  32562106368.0,\n",
       "  32543246336.0,\n",
       "  32483391488.0,\n",
       "  32461086720.0,\n",
       "  32427995136.0,\n",
       "  32405393408.0,\n",
       "  32397156352.0,\n",
       "  32362620928.0,\n",
       "  32295677952.0,\n",
       "  32284043264.0,\n",
       "  32390785024.0,\n",
       "  32226117632.0,\n",
       "  32208347136.0,\n",
       "  32178001920.0,\n",
       "  32174041088.0,\n",
       "  32130080768.0,\n",
       "  32130500608.0,\n",
       "  32074737664.0,\n",
       "  32102752256.0,\n",
       "  32038449152.0,\n",
       "  32008462336.0,\n",
       "  31983056896.0,\n",
       "  31963914240.0,\n",
       "  31929645056.0,\n",
       "  31909304320.0,\n",
       "  31920730112.0,\n",
       "  31824371712.0,\n",
       "  31903492096.0,\n",
       "  31831451648.0,\n",
       "  31792457728.0,\n",
       "  31783895040.0,\n",
       "  31780878336.0,\n",
       "  31710767104.0,\n",
       "  31748939776.0,\n",
       "  31682306048.0,\n",
       "  31677925376.0,\n",
       "  31837415424.0,\n",
       "  31663503360.0,\n",
       "  31631525888.0,\n",
       "  31624878080.0,\n",
       "  31581601792.0,\n",
       "  31598907392.0,\n",
       "  31562731520.0,\n",
       "  31593027584.0,\n",
       "  31541587968.0,\n",
       "  31512662016.0,\n",
       "  31457357824.0,\n",
       "  31484153856.0,\n",
       "  31438972928.0,\n",
       "  31419281408.0,\n",
       "  31383574528.0,\n",
       "  31430756352.0,\n",
       "  31393071104.0,\n",
       "  31330093056.0,\n",
       "  31329579008.0,\n",
       "  31315896320.0,\n",
       "  31336925184.0,\n",
       "  31292704768.0,\n",
       "  31268925440.0,\n",
       "  31239698432.0,\n",
       "  31244734464.0,\n",
       "  31251970048.0,\n",
       "  31257919488.0,\n",
       "  31204515840.0,\n",
       "  31179986944.0,\n",
       "  31169331200.0,\n",
       "  31152355328.0,\n",
       "  31140184064.0,\n",
       "  31164997632.0,\n",
       "  31136555008.0,\n",
       "  31154446336.0,\n",
       "  31096786944.0,\n",
       "  31098501120.0,\n",
       "  31000399872.0,\n",
       "  31013677056.0,\n",
       "  31083081728.0,\n",
       "  31048130560.0,\n",
       "  30974521344.0,\n",
       "  31007889408.0,\n",
       "  30987425792.0,\n",
       "  30959527936.0,\n",
       "  30939359232.0,\n",
       "  30901774336.0,\n",
       "  30895321088.0,\n",
       "  30912528384.0,\n",
       "  30908127232.0,\n",
       "  30891630592.0,\n",
       "  30892544000.0,\n",
       "  30837184512.0,\n",
       "  30805989376.0,\n",
       "  30804480000.0,\n",
       "  30814406656.0,\n",
       "  30829969408.0,\n",
       "  30784501760.0,\n",
       "  30754281472.0,\n",
       "  30722998272.0,\n",
       "  30774018048.0,\n",
       "  30711918592.0,\n",
       "  30708412416.0,\n",
       "  30680983552.0,\n",
       "  30672228352.0,\n",
       "  30668902400.0,\n",
       "  30682068992.0,\n",
       "  30623971328.0,\n",
       "  30625212416.0,\n",
       "  30654453760.0,\n",
       "  30602643456.0,\n",
       "  30613690368.0,\n",
       "  30562535424.0,\n",
       "  30629998592.0,\n",
       "  30549379072.0,\n",
       "  30558357504.0,\n",
       "  30504509440.0,\n",
       "  30485876736.0,\n",
       "  30501359616.0,\n",
       "  30469470208.0,\n",
       "  30458007552.0,\n",
       "  30440957952.0,\n",
       "  30444756992.0,\n",
       "  30504464384.0,\n",
       "  30393849856.0,\n",
       "  30395723776.0,\n",
       "  30415921152.0,\n",
       "  30366339072.0,\n",
       "  30352588800.0,\n",
       "  30325790720.0,\n",
       "  30346790912.0,\n",
       "  30333235200.0,\n",
       "  30295289856.0,\n",
       "  30294052864.0,\n",
       "  30281459712.0,\n",
       "  30320412672.0,\n",
       "  30238758912.0,\n",
       "  30235387904.0,\n",
       "  30219862016.0,\n",
       "  30203820032.0,\n",
       "  30216599552.0,\n",
       "  30215544832.0,\n",
       "  30180665344.0,\n",
       "  30192738304.0,\n",
       "  30147299328.0,\n",
       "  30138687488.0,\n",
       "  30105341952.0,\n",
       "  30107215872.0,\n",
       "  30119086080.0,\n",
       "  30098857984.0,\n",
       "  30112012288.0,\n",
       "  30052593664.0,\n",
       "  30069422080.0,\n",
       "  30006677504.0,\n",
       "  30030403584.0,\n",
       "  30019237888.0,\n",
       "  29992894464.0,\n",
       "  29974149120.0,\n",
       "  29978779648.0,\n",
       "  29965647872.0,\n",
       "  29977262080.0,\n",
       "  29959405568.0,\n",
       "  29929410560.0,\n",
       "  29914372096.0,\n",
       "  29901336576.0,\n",
       "  29905332224.0,\n",
       "  29914843136.0,\n",
       "  29831495680.0,\n",
       "  29836097536.0],\n",
       " 'val_loss': [418868625408.0,\n",
       "  412454977536.0,\n",
       "  355307913216.0,\n",
       "  190386847744.0,\n",
       "  97877893120.0,\n",
       "  94634426368.0,\n",
       "  92964503552.0,\n",
       "  91157118976.0,\n",
       "  89359777792.0,\n",
       "  87549927424.0,\n",
       "  85557698560.0,\n",
       "  83551518720.0,\n",
       "  81428389888.0,\n",
       "  79208833024.0,\n",
       "  77035397120.0,\n",
       "  74768146432.0,\n",
       "  72293687296.0,\n",
       "  69719638016.0,\n",
       "  67255336960.0,\n",
       "  64642121728.0,\n",
       "  62107750400.0,\n",
       "  59777560576.0,\n",
       "  57526448128.0,\n",
       "  55591673856.0,\n",
       "  53965635584.0,\n",
       "  52490874880.0,\n",
       "  51388420096.0,\n",
       "  50446483456.0,\n",
       "  49540567040.0,\n",
       "  48894668800.0,\n",
       "  48308158464.0,\n",
       "  47732686848.0,\n",
       "  47298179072.0,\n",
       "  46773780480.0,\n",
       "  46305607680.0,\n",
       "  45879607296.0,\n",
       "  45432340480.0,\n",
       "  45023936512.0,\n",
       "  44568170496.0,\n",
       "  44157374464.0,\n",
       "  43724730368.0,\n",
       "  43309621248.0,\n",
       "  42960379904.0,\n",
       "  42519932928.0,\n",
       "  42133118976.0,\n",
       "  41756442624.0,\n",
       "  41408016384.0,\n",
       "  41030893568.0,\n",
       "  40703315968.0,\n",
       "  40371904512.0,\n",
       "  39992901632.0,\n",
       "  39688687616.0,\n",
       "  39366320128.0,\n",
       "  39123374080.0,\n",
       "  38781648896.0,\n",
       "  38546661376.0,\n",
       "  38237257728.0,\n",
       "  38012788736.0,\n",
       "  37738975232.0,\n",
       "  37539676160.0,\n",
       "  37322461184.0,\n",
       "  37065756672.0,\n",
       "  36788150272.0,\n",
       "  36547207168.0,\n",
       "  36339712000.0,\n",
       "  36132462592.0,\n",
       "  35946786816.0,\n",
       "  35747921920.0,\n",
       "  35573256192.0,\n",
       "  35398332416.0,\n",
       "  35253190656.0,\n",
       "  35085508608.0,\n",
       "  34949406720.0,\n",
       "  34817826816.0,\n",
       "  34714849280.0,\n",
       "  34567077888.0,\n",
       "  34453184512.0,\n",
       "  34593783808.0,\n",
       "  34257485824.0,\n",
       "  34154760192.0,\n",
       "  34077933568.0,\n",
       "  33982652416.0,\n",
       "  33896030208.0,\n",
       "  33812359168.0,\n",
       "  33806194688.0,\n",
       "  33694988288.0,\n",
       "  33580384256.0,\n",
       "  33504598016.0,\n",
       "  33439248384.0,\n",
       "  33367697408.0,\n",
       "  33310963712.0,\n",
       "  33270372352.0,\n",
       "  33193574400.0,\n",
       "  33115518976.0,\n",
       "  33183451136.0,\n",
       "  32965076992.0,\n",
       "  32900980736.0,\n",
       "  32837009408.0,\n",
       "  32818227200.0,\n",
       "  32777572352.0,\n",
       "  32694913024.0,\n",
       "  32610144256.0,\n",
       "  32574849024.0,\n",
       "  32502808576.0,\n",
       "  32428802048.0,\n",
       "  32370679808.0,\n",
       "  32365176832.0,\n",
       "  32245342208.0,\n",
       "  32179814400.0,\n",
       "  32132378624.0,\n",
       "  32090169344.0,\n",
       "  32066107392.0,\n",
       "  32006918144.0,\n",
       "  31956490240.0,\n",
       "  31980904448.0,\n",
       "  31834970112.0,\n",
       "  31770601472.0,\n",
       "  31727257600.0,\n",
       "  31682416640.0,\n",
       "  32018249728.0,\n",
       "  31634589696.0,\n",
       "  31603378176.0,\n",
       "  31517779968.0,\n",
       "  31494541312.0,\n",
       "  31424804864.0,\n",
       "  31377643520.0,\n",
       "  31573757952.0,\n",
       "  31301261312.0,\n",
       "  31271749632.0,\n",
       "  31260665856.0,\n",
       "  31259693056.0,\n",
       "  31150452736.0,\n",
       "  31203346432.0,\n",
       "  31062288384.0,\n",
       "  31029538816.0,\n",
       "  31061813248.0,\n",
       "  30966134784.0,\n",
       "  30920282112.0,\n",
       "  30889392128.0,\n",
       "  30874183680.0,\n",
       "  30867324928.0,\n",
       "  30789101568.0,\n",
       "  30805768192.0,\n",
       "  30968473600.0,\n",
       "  31013029888.0,\n",
       "  30750148608.0,\n",
       "  30623494144.0,\n",
       "  30644899840.0,\n",
       "  30693574656.0,\n",
       "  30559258624.0,\n",
       "  30572916736.0,\n",
       "  30520707072.0,\n",
       "  30443931648.0,\n",
       "  30509379584.0,\n",
       "  30469421056.0,\n",
       "  30419818496.0,\n",
       "  30338658304.0,\n",
       "  30302769152.0,\n",
       "  30263121920.0,\n",
       "  30491715584.0,\n",
       "  30198571008.0,\n",
       "  30190186496.0,\n",
       "  30182459392.0,\n",
       "  30126460928.0,\n",
       "  30163394560.0,\n",
       "  30106740736.0,\n",
       "  30046310400.0,\n",
       "  30184992768.0,\n",
       "  30018347008.0,\n",
       "  29974478848.0,\n",
       "  30056761344.0,\n",
       "  29933524992.0,\n",
       "  30032556032.0,\n",
       "  29929416704.0,\n",
       "  29900460032.0,\n",
       "  29882664960.0,\n",
       "  29833715712.0,\n",
       "  29799081984.0,\n",
       "  29795647488.0,\n",
       "  29790720000.0,\n",
       "  29753460736.0,\n",
       "  29782470656.0,\n",
       "  29719572480.0,\n",
       "  29708310528.0,\n",
       "  29708527616.0,\n",
       "  29798391808.0,\n",
       "  29623496704.0,\n",
       "  29592469504.0,\n",
       "  29609820160.0,\n",
       "  29563662336.0,\n",
       "  29617029120.0,\n",
       "  29497657344.0,\n",
       "  29465462784.0,\n",
       "  29456568320.0,\n",
       "  29436733440.0,\n",
       "  29404205056.0,\n",
       "  29446264832.0,\n",
       "  29373210624.0,\n",
       "  29396838400.0,\n",
       "  29347407872.0,\n",
       "  29440907264.0,\n",
       "  29454497792.0,\n",
       "  29325336576.0,\n",
       "  29244923904.0,\n",
       "  29245536256.0,\n",
       "  29219850240.0,\n",
       "  29228840960.0,\n",
       "  29217316864.0,\n",
       "  29229324288.0,\n",
       "  29175615488.0,\n",
       "  29224980480.0,\n",
       "  29264527360.0,\n",
       "  29296508928.0,\n",
       "  29177526272.0,\n",
       "  29101461504.0,\n",
       "  29059313664.0,\n",
       "  29023260672.0,\n",
       "  29110272000.0,\n",
       "  29125005312.0,\n",
       "  28979122176.0,\n",
       "  28995145728.0,\n",
       "  29003651072.0,\n",
       "  28925470720.0,\n",
       "  28893679616.0,\n",
       "  28945420288.0,\n",
       "  28880193536.0,\n",
       "  28849461248.0,\n",
       "  28861915136.0,\n",
       "  28900261888.0,\n",
       "  28786997248.0,\n",
       "  28879261696.0,\n",
       "  28761917440.0,\n",
       "  28783960064.0,\n",
       "  28762269696.0,\n",
       "  28709816320.0,\n",
       "  28684015616.0,\n",
       "  28799215616.0,\n",
       "  28690468864.0,\n",
       "  28643026944.0,\n",
       "  28666374144.0,\n",
       "  28613160960.0,\n",
       "  28589287424.0,\n",
       "  28668604416.0,\n",
       "  28637659136.0,\n",
       "  28682893312.0,\n",
       "  28544579584.0,\n",
       "  28563304448.0,\n",
       "  28553615360.0,\n",
       "  28734001152.0,\n",
       "  28498288640.0,\n",
       "  28469612544.0,\n",
       "  28432205824.0,\n",
       "  28438016000.0,\n",
       "  28478699520.0,\n",
       "  28505145344.0,\n",
       "  28429172736.0,\n",
       "  28457316352.0,\n",
       "  28370477056.0,\n",
       "  28380561408.0,\n",
       "  28327899136.0,\n",
       "  28299319296.0,\n",
       "  28282890240.0,\n",
       "  28273868800.0,\n",
       "  28267335680.0,\n",
       "  28382316544.0,\n",
       "  28331503616.0,\n",
       "  28282253312.0,\n",
       "  28249008128.0,\n",
       "  28270891008.0,\n",
       "  28206153728.0,\n",
       "  28172208128.0,\n",
       "  28177377280.0,\n",
       "  28144400384.0,\n",
       "  28149940224.0,\n",
       "  28112590848.0,\n",
       "  28098054144.0,\n",
       "  28069490688.0,\n",
       "  28051179520.0,\n",
       "  28028397568.0,\n",
       "  28013049856.0,\n",
       "  28051953664.0,\n",
       "  28077496320.0,\n",
       "  28003645440.0,\n",
       "  28085628928.0,\n",
       "  27993325568.0,\n",
       "  28069916672.0,\n",
       "  28264491008.0,\n",
       "  27936270336.0,\n",
       "  27959949312.0,\n",
       "  27929477120.0,\n",
       "  27928559616.0,\n",
       "  27871989760.0,\n",
       "  27813615616.0,\n",
       "  27800629248.0,\n",
       "  28090902528.0,\n",
       "  27800352768.0,\n",
       "  27793995776.0,\n",
       "  27793473536.0,\n",
       "  27853197312.0,\n",
       "  27769229312.0]}"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.history.history"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "009198dd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXQAAAEDCAYAAAAlRP8qAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjQuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8rg+JYAAAACXBIWXMAAAsTAAALEwEAmpwYAAAkFElEQVR4nO3de5xU9X3/8dfnzGV35SICy/0iWA1R+Al2JVpTQmwaL9HwS2oSjJfqz8hDTYzaao3JI8a08dfGtOamlZ9tjFqNQqK13lMfzQVtonHBBUSUEIJxgcqCyEX2NjOf3x/n7O6wzC6zMMvsmX0/H495zJkz3z3zORx9n+98z2XM3RERkfgLyl2AiIiUhgJdRKRCKNBFRCqEAl1EpEIo0EVEKoQCXUSkQpQ10M3sHjPbamavFtF2npmtMLOMmZ3X7b1nzexdM3uy/6oVERnYyt1Dvxc4s8i2fwAuAX5U4L1vAReVpiQRkXgqa6C7+zLgnfx5ZnZM1ONebmbPm9mMqO1Gd18F5Aos57+A3YelaBGRASpZ7gIKuBu4wt1/a2YfAP4ZOL3MNYmIDHgDKtDNbCjwJ8CPzaxjdlX5KhIRiY8BFeiEQ0DvuvvschciIhI35T4oug933wX83sw+BWChE8tclohILBQd6GaWMLNXCp0aaGbzzWynmTVEj5uLXOZDwK+B95lZo5ldBlwAXGZmK4E1wIKo7clm1gh8Cvh/ZrYmbznPAz8G/ixazhnFrpeISKWwYm+fa2Z/BdQBw939nG7vzQeu7z5fREQOn6J66GY2CfgY8K/9W46IiBysYg+Kfgf4G2BYL21OjYZJNhP21tf00pbRo0f70UcfXeTHi4gIwPLly7e5e22h9w4Y6GZ2DrDV3ZdHQyuFrACmuvseMzsbeAw4tsCyFgGLAKZMmUJ9fX1RKyAiIiEze7On94oZcjkN+LiZbQQeBk43swfyG7j7LnffE00/DaTMbHT3Bbn73e5e5+51tbUFdzAiInKQDhjo7n6Tu09y96OBhcDP3P3C/DZmNs6iK4HMbG603O39UK+IiPTgoC8sMrMrANx9MXAecKWZZYBmYKHr16dFRA6rok9bLLW6ujrXGLrI4NPe3k5jYyMtLS3lLmVAq66uZtKkSaRSqX3mm9lyd68r9DcD7dJ/EalwjY2NDBs2jKOPPpq8ezZJHndn+/btNDY2Mm3atKL/bkBd+i8ila+lpYVRo0YpzHthZowaNarP32IU6CJy2CnMD+xg/o1iF+jvvNfG159YQ0t7ttyliIgMKLEL9P9ev417f7WRi37wEu3Z/X68SETkgIYOHVruEvpF7AL93BMn8LVzjufljTtYvWlnucsRERkwYhfoAHOmHAXAjvfaylyJiMSZu3PDDTcwc+ZMZs2axZIlSwDYsmUL8+bNY/bs2cycOZPnn3+ebDbLJZdc0tn229/+dpmr318sT1scOSQNwHYFukisff2JNby2eVdJl3n8hOF87dwTimr76KOP0tDQwMqVK9m2bRsnn3wy8+bN40c/+hFnnHEGX/nKV8hms+zdu5eGhgY2bdrEq6++CsC7775b0rpLIZY99JFV4cVQ7yjQReQQvPDCC5x//vkkEgnGjh3Lhz70IV5++WVOPvlkfvjDH3LLLbewevVqhg0bxvTp09mwYQNXX301zz77LMOHDy93+fuJXw/9tf/giMeuYkrymwp0kZgrtifdX3q6Un7evHksW7aMp556iosuuogbbriBiy++mJUrV/LTn/6UO++8k6VLl3LPPfcc5op7F78eeu37sbY9LKh+he17FOgicvDmzZvHkiVLyGazNDU1sWzZMubOncubb77JmDFjuPzyy7nssstYsWIF27ZtI5fL8Rd/8Rf83d/9HStWrCh3+fuJXw+99jioncGf73iJb7/3mXJXIyIx9olPfIJf//rXnHjiiZgZt912G+PGjeO+++7jW9/6FqlUiqFDh3L//fezadMmLr30UnK58HTpv//7vy9z9fuL5825fnYruWX/yMUjH+CBL36stIWJSL9au3Yt73//+8tdRiwU+rfq7eZc8RtyAZj4xwTkqH6vsdyViIgMGPEM9FQ1AK3N75W5EBGRgSOegZ6sAcAyLbqni4hIpOhAN7OEmb1iZk8WeM/M7Htmtt7MVpnZSaUts5tUGOg1tOniIhGRSF966NcAa3t47yzg2OixCLjrEOvqXRToVbTp8n8RkUhRgW5mk4CPAf/aQ5MFwP0eehEYYWbjS1Tj/pLhGHq1tdGmOy6KiADF99C/A/wN0FN6TgTeynvdGM3bh5ktMrN6M6tvamrqS537yhtyyWT1W9QiIlBEoJvZOcBWd1/eW7MC8/ZLWne/293r3L2utra2D2V2EwV6NW1k1EMXkX7U273TN27cyMyZMw9jNb0rpod+GvBxM9sIPAycbmYPdGvTCEzOez0J2FySCgtJ5gV6Tj10EREo4tJ/d78JuAnAzOYD17v7hd2aPQ58wcweBj4A7HT3LaUtNU8QkAvSVFsbmZx66CKx9cyX4H9Wl3aZ42bBWf/Q49s33ngjU6dO5aqrrgLglltuwcxYtmwZO3bsoL29nW984xssWLCgTx/b0tLClVdeSX19Pclkkttvv50Pf/jDrFmzhksvvZS2tjZyuRyPPPIIEyZM4NOf/jSNjY1ks1m++tWv8pnPHPqtTA76Xi5mdgWAuy8GngbOBtYDe4FLD7myA/BkNdVtbbRrDF1E+mDhwoVce+21nYG+dOlSnn32Wa677jqGDx/Otm3bOOWUU/j4xz/epx9qvvPOOwFYvXo1r7/+Oh/96EdZt24dixcv5pprruGCCy6gra2NbDbL008/zYQJE3jqqacA2LmzNL++1qdAd/dfAL+IphfnzXfg8yWpqEi5ZDXVtJHVkItIfPXSk+4vc+bMYevWrWzevJmmpiaOOuooxo8fz3XXXceyZcsIgoBNmzbx9ttvM27cuKKX+8ILL3D11VcDMGPGDKZOncq6des49dRTufXWW2lsbOSTn/wkxx57LLNmzeL666/nxhtv5JxzzuFP//RPS7Ju8bxSFCBZQ7W16YeiRaTPzjvvPH7yk5+wZMkSFi5cyIMPPkhTUxPLly+noaGBsWPH0tLS0qdl9nSjw89+9rM8/vjj1NTUcMYZZ/Czn/2M4447juXLlzNr1ixuuukm/vZv/7YUqxXD2+dGPOqh79WQi4j00cKFC7n88svZtm0bv/zlL1m6dCljxowhlUrx85//nDfffLPPy5w3bx4PPvggp59+OuvWreMPf/gD73vf+9iwYQPTp0/ni1/8Ihs2bGDVqlXMmDGDkSNHcuGFFzJ06FDuvffekqxXbAOdZDU1tLFbQy4i0kcnnHACu3fvZuLEiYwfP54LLriAc889l7q6OmbPns2MGTP6vMyrrrqKK664glmzZpFMJrn33nupqqpiyZIlPPDAA6RSKcaNG8fNN9/Myy+/zA033EAQBKRSKe66qzQX18fzfuhA27+cyYq33uV3H1vCBR+YWsLKRKQ/6X7oxRsc90MHSFVHFxaphy4iAjEecrFUDVXooKiI9L/Vq1dz0UUX7TOvqqqKl156qUwVFRbjQD+CGp22KBJL7t6nc7zLbdasWTQ0NBzWzzyY4fDYDrlYujq6UlSBLhIn1dXVbN++/aACa7Bwd7Zv3051dXWf/i62PfQgVUO1hlxEYmfSpEk0NjZySHdcHQSqq6uZNGlSn/4mtoFuUaBryEUkXlKpFNOmTSt3GRUptkMupI6g2tppz+g3RUVEINaBHo0ttfft8lwRkUoV30CP7oluWQW6iAjEOdCjHrplmstciIjIwBDjQD8CgECBLiICFPebotVm9hszW2lma8zs6wXazDeznWbWED1u7p9y8ySjHnq2td8/SkQkDoo5bbEVON3d95hZCnjBzJ5x9xe7tXve3c8pfYk9SFYBYBkFuogIFPebog7siV6mokf5T/62BAC5nE5bFBGBIsfQzSxhZg3AVuA5dy90R5pTo2GZZ8zshFIWWVAQlp7LZvr9o0RE4qCoQHf3rLvPBiYBc81sZrcmK4Cp7n4i8H3gsULLMbNFZlZvZvWHfNlv1ENHPXQREaCPZ7m4+7uEPxJ9Zrf5u9x9TzT9NJAys9EF/v5ud69z97ra2tqDLhqAQEMuIiL5ijnLpdbMRkTTNcBHgNe7tRln0b0wzWxutNztJa82XxAN/+c05CIiAsWd5TIeuM/MEoRBvdTdnzSzKwDcfTFwHnClmWWAZmCh9/e9MaMhF8+qhy4iAsWd5bIKmFNg/uK86TuAO0pb2gFEB0XdFegiIhDnK0U7e+gachERgTgHescYuusHLkREINaBHp22qB66iAgQ50DvGHLRGLqICBDnQO/ooSvQRUSAOAe6RaXrwiIRESDOga4Li0RE9hHjQO+4l4vOchERgTgHumkMXUQkX3wDPdDdFkVE8sU/0NVDFxEB4hzo0ZCLKdBFRIA4B3rUQw88Ry5X/l/EExEpt/gGetRDT5CjXWe6iIjEONA7eujkyKqHLiIS40CPeuhJy9KeVaCLiBTzE3TVZvYbM1tpZmvM7OsF2piZfc/M1pvZKjM7qX/KzRMEOEZAjkxWQy4iIsX8BF0rcLq77zGzFPCCmT3j7i/mtTkLODZ6fAC4K3ruV24JEhpyEREBiuihe2hP9DIVPbon6ALg/qjti8AIMxtf2lIL1GYBCZx2BbqISHFj6GaWMLMGYCvwnLu/1K3JROCtvNeN0bzuy1lkZvVmVt/U1HSQJXdxS2jIRUQkUlSgu3vW3WcDk4C5ZjazWxMr9GcFlnO3u9e5e11tbW2fi91veZYgiQ6KiohAH89ycfd3gV8AZ3Z7qxGYnPd6ErD5UAorqp6oh64xdBGR4s5yqTWzEdF0DfAR4PVuzR4HLo7OdjkF2OnuW0pd7P7FBeGFRRpyEREp6iyX8cB9ZpYg3AEsdfcnzewKAHdfDDwNnA2sB/YCl/ZTvfvwIDzLJaMeuojIgQPd3VcBcwrMX5w37cDnS1taETpPW1QPXUQkvleKEvXQLYdGXEREYh7odJy2qB66iEj8Az1BTj8rKiJCzAO946Bo1nVQVEQk1oEe9tCzOigqIkLcA72jh648FxGJeaB3XimqRBcRiXegq4cuItIp1oFunVeKKtFFRGId6B099JzOchERiXmgm64UFRHpEOtAt0AHRUVEOsQ60AmSOigqIhKJdaCHB0V1YZGICMQ80LtOW9RBURGRWAd62EN39JOiIiLF/QTdZDP7uZmtNbM1ZnZNgTbzzWynmTVEj5v7p9xun6uDoiIinYr5CboM8NfuvsLMhgHLzew5d3+tW7vn3f2c0pfYM0skSZLVQVEREYroobv7FndfEU3vBtYCE/u7sKLoXi4iIp36NIZuZkcT/r7oSwXePtXMVprZM2Z2Qg9/v8jM6s2svqmpqe/Vdl9eQqctioh0KDrQzWwo8Ahwrbvv6vb2CmCqu58IfB94rNAy3P1ud69z97ra2tqDLDmvpiAIrxTVpf8iIsUFupmlCMP8QXd/tPv77r7L3fdE008DKTMbXdJKC9XVeWGRuugiIsWc5WLAD4C17n57D23GRe0ws7nRcreXstDCxen2uSIiHYo5y+U04CJgtZk1RPO+DEwBcPfFwHnAlWaWAZqBhe6HYRyk88IiJbqIyAED3d1fAOwAbe4A7ihVUUVTD11EpFOsrxQlSBCY7ocuIgKxD/QkSf1ikYgIEPdAtyC6sKjchYiIlF+8A10HRUVEOsU70Dsv/S93ISIi5RfvQO+4sCibLXclIiJlF/NATwDgrkAXEYl3oFtUvnroIiIxD/Soh57NZcpciIhI+cU70C0actFZLiIiMQ/0ILpzQba9vHWIiAwAMQ/0joOi6qGLiMQ70DsOiuZ0UFREJN6B3tFD10FREZG4B3o0hq6DoiIiRf1i0WQz+7mZrTWzNWZ2TYE2ZmbfM7P1ZrbKzE7qn3K7f3BHD10HRUVEivnFogzw1+6+wsyGAcvN7Dl3fy2vzVnAsdHjA8Bd0XP/0kFREZFOB+yhu/sWd18RTe8G1gITuzVbANzvoReBEWY2vuTVdhf10E0HRUVE+jaGbmZHA3OAl7q9NRF4K+91I/uHPma2yMzqzay+qampj6UWEITluwJdRKT4QDezocAjwLXuvqv72wX+ZL/fhXP3u929zt3ramtr+1ZpIdFBUdNZLiIixQW6maUIw/xBd3+0QJNGYHLe60nA5kMv70CFdRwUVQ9dRKSYs1wM+AGw1t1v76HZ48DF0dkupwA73X1LCessLDooim6fKyJS1FkupwEXAavNrCGa92VgCoC7LwaeBs4G1gN7gUtLXmkhUQ9d56GLiBQR6O7+AoXHyPPbOPD5UhVVtERYfuA6D11EJN5XiibSgA6KiohA3AM9SIVPulJURCTmgZ4IAz2JeugiIjEP9I4hF/XQRURiHuhRD93VQxcRqYhAT+gsFxGRuAd6OOQS6CwXEZHKCPSEDoqKiMQ80KObcyW9nfDaJhGRwSvegR710FNkyCnPRWSQq4hAT5Ilq0QXkUEu5oEenuWStowCXUQGvXgHuhk5S5IiQ1Zj6CIyyMU70IGsJUmRJZtVoIvI4Bb7QM8FKfXQRUSogED3IBpy0Ri6iAxyxfwE3T1mttXMXu3h/flmttPMGqLHzaUvs2c5S4VDLgp0ERnkivkJunuBO4D7e2nzvLufU5KK+igXpEiahlxERA7YQ3f3ZcA7h6GWg5IL0qTJ6KCoiAx6pRpDP9XMVprZM2Z2Qk+NzGyRmdWbWX1TU1NJPjgcQ8+qhy4ig14pAn0FMNXdTwS+DzzWU0N3v9vd69y9rra2tgQfDZ5I6aCoiAglCHR33+Xue6Lpp4GUmY0+5MqK/fxAgS4iAiUIdDMbZ2YWTc+Nlrn9UJdbrDDQdZaLiMgBz3Ixs4eA+cBoM2sEvgakANx9MXAecKWZZYBmYKEfxnvZepAipXu5iIgcONDd/fwDvH8H4WmNZdE5hq6DoiIyyMX+SlESaQ25iIhQCYEeHRRtz+bKXYmISFnFPtATqTQpMrzXqt8VFZHBLfaBnkxVkbQsu1sU6CIyuMU/0NNVpMmwu6W93KWIiJRV7AM9laoiRYZd6qGLyCAX+0DvGEPXkIuIDHaxD3RLpElZVkMuIjLoxT7QiS4s2t2sQBeRwa0CAj1NgPNeS2u5KxERKasKCPQUAM0tzWUuRESkvCog0NMANKuHLiKDXPwDPQh76K3qoYvIIBf/QI+GXFpb1UMXkcGtAgI9HHJpbWslpzsuisggdsBAN7N7zGyrmb3aw/tmZt8zs/VmtsrMTip9mb2IeugpMuxp08VFIjJ4FdNDvxc4s5f3zwKOjR6LgLsOvaw+yAt0XS0qIoPZAQPd3ZcB7/TSZAFwv4deBEaY2fhSFXhA0ZBLSjfoEpFBrhRj6BOBt/JeN0bz9mNmi8ys3szqm5qaSvDR5AV6lo3b9pZmmSIiMVSKQLcC8woenXT3u929zt3ramtrS/DRQNVwAOYN28T1P17Jb37f25cJEZHKVYpAbwQm572eBGwuwXKLM3kuTP0g19pDnDR0Oxff8xLL1pWo9y8iEiOlCPTHgYujs11OAXa6+5YSLLc4ZvDx7xEESe7Nfplzj9zIZfe9zFOrDl8JIiIDQfJADczsIWA+MNrMGoGvASkAd18MPA2cDawH9gKX9lexPRp1DFz+XwQ/+gy3vfNVpo66mi885OxqmcX5c6cc9nJERMrhgIHu7ucf4H0HPl+yig7WyOlw2XPY0ov5wu9vZ+KYi7nuUae1Pcslp00rd3UiIv3ugIEeKzUj4MJH4PEv8omV93PkmF1c9oRTk07wmZPVUxeRylZZgQ7hhUYL7oQjRnL6r+/gvlHNXPIoVKcSLJhd8GxKEZGKUHmBDhAEcMatkB7KvF/+A/eMyHH5UuOIdJI/P35suasTEekX8b85V28+fBPMv4n5zc/x/eEPcPVDy1nxhx3lrkpEpF9UdqADzP8SnHYtZ7Y8w43Vj/G5++rZuO29clclIlJylR/oAB+5BWZfyKXtSzgv9yyfu79e930RkYozOALdDM79Lhx3Jjf5D5ix/Wdc+3ADWd0/XUQqyOAIdIBEEs77ITbpZL6bvpM9b/ySf/rPN8pdlYhIyQyeQAdIHwGfXUIwaho/POK7PPHLX/HEysN32xkRkf40uAId4IiR2PkPU5MK+NGQb/P1n7zI2i27yl2ViMghG3yBDjDqGOzT9zMpu4nvJO/gyvt/w869OkgqIvE2OAMdYPqHsLNv44O+nM/uuZdrlryig6QiEmuDN9ABTv4cnPw5FiWeYORvH+Gbz75e7opERA7a4A50gDP/AZ82j9uqfsDy55/h7mW/K3dFIiIHRYGeSGGfuo/EUVN4oOYfeeqZJ/m3F98sd1UiIn2mQIfwzJe/fILq4bU8VP1N/v0/HuUbT76mMXURiZWiAt3MzjSzN8xsvZl9qcD7881sp5k1RI+bS19qPztyInbJk9SMGMOPq79B7tf/zIX/8iIbmvaUuzIRkaJY+INDvTQwSwDrgD8n/EHol4Hz3f21vDbzgevd/ZxiP7iurs7r6+sPouR+1rwDHvs8vPEU9f5+vt3+SUbO/Aj/54PTmD15BGZW7gpFZBAzs+XuXlfovWLuhz4XWO/uG6KFPQwsAF7r9a/iquYoWPggLP8hc37xTR7ccysr31jCQ2vm83+P/BP+eNYJnHrMKOqmHsWQqsq8nbyIxFMxPfTzgDPd/XPR64uAD7j7F/LazAceIezBbybsra8psKxFwCKAKVOm/PGbbw7wg4/tLdDwANlf3UlixwYAXstN5b9zJ/Aqx9A+5kSm/NFM5kw9ijlTRjBmWHWZCxaRStdbD72YQP8UcEa3QJ/r7lfntRkO5Nx9j5mdDXzX3Y/tbbkDdsilEHfYuhZ++1Oyb/wntqmeINcGwE4fwurc0az26TTWzMAmzmH8lOM4fsKRHD9hOGOGVWmYRkRK5lCHXBqByXmvJxH2wju5+6686afN7J/NbLS7bzuYggccMxh7PIw9nsQHr4Nsexjwm19hSOMK5vxhOae+8wyJ9idgI7zz+6Gszk1nqU9nY/o42sfOZvykaRw/8UiOHz+caaOHkEzoBCMRKa1ieuhJwoOifwZsIjwo+tn8IRUzGwe87e5uZnOBnwBTvZeFx6qHXoxMK7y9Bja/Qttby8m8tYLqd9cReBaArT6CVblprPFp/N4mkxl1HDVjj+PocSM5pnYofzRmCFNHDSGloBeRXhzSkEu0gLOB7wAJ4B53v9XMrgBw98Vm9gXgSiADNAN/5e6/6m2ZFRfohbQ3w/+shs2vkNu0gva3VpDe8VuM8N88Q8CbubGs94n8ziewxUfRXDOe3LAJJEdOZsTIMUwYUcP4ETVMHFHDhBE1HHVESkM4IoPYIQd6fxgUgV5IezNsXw9Nb0DT62TeXkvmf9aS3vUmgWf2abrXq9jiI6PHKDYziiYbTfuQCfiRE0gfNZmhR45i1JA0o4amGTkkzaghVYwcmmbUkDTVqUSZVlJE+suhjqFLKaVqYNys8EG4AZIAuSzseRt2boJdjbBzEzW7NjHpnbcYt6ORut2vU9XSFPbuWwgfb8Mer2FzFPhbfCRrGcZOH8JOhrDXhtKWHk57aji5qiM5Mp0jWz2SXM1ohtWkGJJOMrQ6SXUqQSoRkE4YqUTAEVVJhlcnGVKVJBmE88JH13Syczp8Tgambw4iZaZAHyiCBAyfED44GQADqqIHEB6M3b0Fdm2GnY2waxNDdjYybUcjU3duIti9hkTLuwSed2/3HNAaPfI0U0Wzp9lLFS2eppk0e6mOpqvYQZotnqaNJK2kaSVFmyfDZ1LR6+g5apMNUmStimwiTS5Ik0tUkUuk8UQVnkiTC6pJpFKkop1EMmGk99k5hDuIZCII5wdGKhnktd9/p9Lx98kgIJ0Mn/fZ0XS2iZYdBAQBJMxIBEYQWNd05zPaOUksKdDjJJGCEVPCR8SAVH4bd2jfCy07ofldaHk3nG7ZCUES3muCve9Q076XmvZmRrTvJde6F2/fi7c1Q9t7ePsuaNsL2VaCbBtBtpUg24qRK77WXPRo7z47oM1SZEnSTpIsCdqj6faOaU/QRpI2T4Q7kY7XpMh4gmHWzA4fym6qyRKQIyBDEE57QIYEOQKyGFkSZKP39pn2feflsLy/C8iRgCDALYFbItzhWgIPkmABFiTxIHrPErgFndM5S2CJRPjvbQksCJf7XluWqlSCIelE5w4kMAgs/HaTCIjmGWZ0tjGjs20i+iYUWFfbjvcsb1lB3t9Ytzb5r7svPwgMo3Abs473ogfh/M7/Frt9bkdtYc10TUdtbZ/PD/9r7pxH/ud2fVb39kFeXYEZQUC3f5P916H7fNj/3yGuO3QFeqUxg/SQ8DF8wgGbB/ThDm3ZDGRbwzN6Mi3Rc2vevPzXLZBp62oXtQkyrVRnWiCXCb9xZNui6bbodTvkovnZcL5nWyHzHp5phWwbufQwrHkjlmkBz0Iui+Wy4NnOA879woHswf95x44iS0DO8qbzdjg5ArIWkPVE3vxg352ShzurTMcOyrumM97VNuMBhpMiPDbT4uE3rQxdx1by/70cyGB5O9aOnW4Q7XpztEU73xyGY53Pnvc6R0DGE5076RwBDvs9h90R8M5nunaoHu5kswQMs2ayBOzyI2ghnffZQfR5hhOQ867P76olv86uz891qzn/uaOu7jsXoh3J/jucfXcS++xgrGvn1bXDMM6fO5lF8445+P+YeqBAl+IlkuEjPeSwfqx1e+51B5TLdYZ8+JyJpnNd07lM9F4ub7pjfq5bm0LL6uv88HMSuSyJXIZUyT87A97WrU00bQk8kQI83Lm2t4Q7TPJ7oF2BiufCnWOuDctl9v/3HSRyBLiF4e7RtOdNQ9frXH67/B2FB+Bdy/K8v2nauhD4csnrVqBLZQmi7xyJ1AGbDhbFDh7s1y6XC78peRYSabAgfJ1pBTwc3nMPd0REz+5dO5SOb2Cey3sv1/W30PVM3rI827Vz8yykh4bvtewMv+l1X17HTrPgo3t9efP2q7trftBjewovf7/PoIf54fS44/7o4DdoLxToIlJYEEDQ7f5EQU14ppYMSLosUUSkQijQRUQqhAJdRKRCKNBFRCqEAl1EpEIo0EVEKoQCXUSkQijQRUQqRNnuh25mTcDB/kr0aKAyft5O6zJQaV0GJq1L+GtwtYXeKFugHwozq+/pBu9xo3UZmLQuA5PWpXcachERqRAKdBGRChHXQL+73AWUkNZlYNK6DExal17EcgxdRET2F9ceuoiIdKNAFxGpELELdDM708zeMLP1ZvalctfTV2a20cxWm1mDmdVH80aa2XNm9tvo+ahy11mImd1jZlvN7NW8eT3WbmY3RdvpDTM7ozxVF9bDutxiZpuibdNgZmfnvTcg18XMJpvZz81srZmtMbNrovmx2y69rEsct0u1mf3GzFZG6/L1aH7/bhd3j80DSAC/A6YDaWAlcHy56+rjOmwERnebdxvwpWj6S8A3y11nD7XPA04CXj1Q7cDx0fapAqZF2y1R7nU4wLrcAlxfoO2AXRdgPHBSND0MWBfVG7vt0su6xHG7GDA0mk4BLwGn9Pd2iVsPfS6w3t03uHsb8DCwoMw1lcIC4L5o+j7gf5evlJ65+zLgnW6ze6p9AfCwu7e6+++B9YTbb0DoYV16MmDXxd23uPuKaHo3sBaYSAy3Sy/r0pOBvC7u7nuil6no4fTzdolboE8E3sp73UjvG3wgcuA/zWy5mS2K5o119y0Q/kcNjClbdX3XU+1x3VZfMLNV0ZBMx9fhWKyLmR0NzCHsDcZ6u3RbF4jhdjGzhJk1AFuB59y937dL3AK90A+Yx+28y9Pc/STgLODzZjav3AX1kzhuq7uAY4DZwBbgn6L5A35dzGwo8Ahwrbvv6q1pgXkDfV1iuV3cPevus4FJwFwzm9lL85KsS9wCvRGYnPd6ErC5TLUcFHffHD1vBf6d8GvV22Y2HiB63lq+Cvusp9pjt63c/e3of8Ic8C90feUd0OtiZinCAHzQ3R+NZsdyuxRal7hulw7u/i7wC+BM+nm7xC3QXwaONbNpZpYGFgKPl7mmopnZEDMb1jENfBR4lXAd/jJq9pfAf5SnwoPSU+2PAwvNrMrMpgHHAr8pQ31F6/gfLfIJwm0DA3hdzMyAHwBr3f32vLdit116WpeYbpdaMxsRTdcAHwFep7+3S7mPBh/E0eOzCY9+/w74Srnr6WPt0wmPZK8E1nTUD4wC/gv4bfQ8sty19lD/Q4RfedsJexSX9VY78JVoO70BnFXu+otYl38DVgOrov/Bxg/0dQE+SPjVfBXQED3OjuN26WVd4rhd/hfwSlTzq8DN0fx+3S669F9EpELEbchFRER6oEAXEakQCnQRkQqhQBcRqRAKdBGRCqFAFxGpEAp0EZEK8f8BQxX2ZsJWJFIAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "model_history = pd.DataFrame(model.history.history)\n",
    "model_history.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "2087cb12",
   "metadata": {},
   "outputs": [],
   "source": [
    "y_pred = model.predict(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "3fea13f9",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "MAE: 102545.88578076774\n",
      "MSE: 27769228018.641956\n",
      "RMSE: 320.2278654033214\n",
      "Exp. variance: 0.7906355078005594\n"
     ]
    }
   ],
   "source": [
    "print(f'MAE: {mean_absolute_error(y_test, y_pred)}')\n",
    "print(f'MSE: {mean_squared_error(y_test, y_pred)}')\n",
    "print(f'RMSE: {np.sqrt(mean_absolute_error(y_test, y_pred))}')\n",
    "print(f'Exp. variance: {explained_variance_score(y_test, y_pred)}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "38da4bd4",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.linear_model import LinearRegression\n",
    "lr = LinearRegression()\n",
    "lr.fit(X_train, y_train)\n",
    "y_pred = lr.predict(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "e50915c6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "MAE: 123999.2993493\n",
      "MSE: 40434066668.251526\n",
      "RMSE: 352.135342374633\n",
      "Exp. variance: 0.6951126522654758\n"
     ]
    }
   ],
   "source": [
    "print(f'MAE: {mean_absolute_error(y_test, y_pred)}')\n",
    "print(f'MSE: {mean_squared_error(y_test, y_pred)}')\n",
    "print(f'RMSE: {np.sqrt(mean_absolute_error(y_test, y_pred))}')\n",
    "print(f'Exp. variance: {explained_variance_score(y_test, y_pred)}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "c8f541c2",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.linear_model import Ridge\n",
    "ridge = Ridge()\n",
    "ridge.fit(X_train, y_train)\n",
    "y_pred = ridge.predict(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "59b9bab0",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "MAE: 123817.36623032865\n",
      "MSE: 40417374876.50221\n",
      "RMSE: 351.8769191497627\n",
      "Exp. variance: 0.6952363793230334\n"
     ]
    }
   ],
   "source": [
    "print(f'MAE: {mean_absolute_error(y_test, y_pred)}')\n",
    "print(f'MSE: {mean_squared_error(y_test, y_pred)}')\n",
    "print(f'RMSE: {np.sqrt(mean_absolute_error(y_test, y_pred))}')\n",
    "print(f'Exp. variance: {explained_variance_score(y_test, y_pred)}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "85923b29",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.svm import SVR\n",
    "svr = SVR()\n",
    "svr.fit(X_train, y_train)\n",
    "y_pred = svr.predict(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "24c4b841",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "MAE: 219261.00846217386\n",
      "MSE: 139617272977.86844\n",
      "RMSE: 468.25314570451513\n",
      "Exp. variance: 0.0013605548789528132\n"
     ]
    }
   ],
   "source": [
    "print(f'MAE: {mean_absolute_error(y_test, y_pred)}')\n",
    "print(f'MSE: {mean_squared_error(y_test, y_pred)}')\n",
    "print(f'RMSE: {np.sqrt(mean_absolute_error(y_test, y_pred))}')\n",
    "print(f'Exp. variance: {explained_variance_score(y_test, y_pred)}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "861ba1de",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.7.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}