CO2-Emissions.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "796dc1b5",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Importing libraries\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "eff2709f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Data</th>\n",
       "      <th>Description</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Model</td>\n",
       "      <td>4WD/4X4 = Four-wheel drive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Model</td>\n",
       "      <td>AWD = All-wheel drive</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Model</td>\n",
       "      <td>FFV = Flexible-fuel vehicle</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Model</td>\n",
       "      <td>SWB = Short wheelbase</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Model</td>\n",
       "      <td>LWB = Long wheelbase</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Model</td>\n",
       "      <td>EWB = Extended wheelbase</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Transmission</td>\n",
       "      <td>A = automatic</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Transmission</td>\n",
       "      <td>AM = automated manual</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Transmission</td>\n",
       "      <td>AS = automatic with select shift</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Transmission</td>\n",
       "      <td>AV = continuously variable</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Transmission</td>\n",
       "      <td>M = manual</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Transmission</td>\n",
       "      <td>3 - 10 = Number of gears</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Fuel type</td>\n",
       "      <td>X = regular gasoline</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Fuel type</td>\n",
       "      <td>Z = premium gasoline</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Fuel type</td>\n",
       "      <td>D = diesel</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Fuel type</td>\n",
       "      <td>E = ethanol (E85)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Fuel type</td>\n",
       "      <td>N = natural gas</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Fuel consumption</td>\n",
       "      <td>City and highway fuel consumption ratings are ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>CO2 emissions</td>\n",
       "      <td>the tailpipe emissions of carbon dioxide (in g...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                Data                                        Description\n",
       "0              Model                         4WD/4X4 = Four-wheel drive\n",
       "1              Model                              AWD = All-wheel drive\n",
       "2              Model                        FFV = Flexible-fuel vehicle\n",
       "3              Model                              SWB = Short wheelbase\n",
       "4              Model                               LWB = Long wheelbase\n",
       "5              Model                           EWB = Extended wheelbase\n",
       "6       Transmission                                      A = automatic\n",
       "7       Transmission                              AM = automated manual\n",
       "8       Transmission                   AS = automatic with select shift\n",
       "9       Transmission                         AV = continuously variable\n",
       "10      Transmission                                         M = manual\n",
       "11      Transmission                           3 - 10 = Number of gears\n",
       "12         Fuel type                               X = regular gasoline\n",
       "13         Fuel type                               Z = premium gasoline\n",
       "14         Fuel type                                         D = diesel\n",
       "15         Fuel type                                  E = ethanol (E85)\n",
       "16         Fuel type                                    N = natural gas\n",
       "17  Fuel consumption  City and highway fuel consumption ratings are ...\n",
       "18     CO2 emissions  the tailpipe emissions of carbon dioxide (in g..."
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Loading the description of the data\n",
    "description=pd.read_csv(\"Data Description.csv\")\n",
    "description"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "8d82d4e0",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Make</th>\n",
       "      <th>Model</th>\n",
       "      <th>Vehicle Class</th>\n",
       "      <th>Engine Size(L)</th>\n",
       "      <th>Cylinders</th>\n",
       "      <th>Transmission</th>\n",
       "      <th>Fuel Type</th>\n",
       "      <th>Fuel Consumption City (L/100 km)</th>\n",
       "      <th>Fuel Consumption Hwy (L/100 km)</th>\n",
       "      <th>Fuel Consumption Comb (L/100 km)</th>\n",
       "      <th>Fuel Consumption Comb (mpg)</th>\n",
       "      <th>CO2 Emissions(g/km)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ACURA</td>\n",
       "      <td>ILX</td>\n",
       "      <td>COMPACT</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4</td>\n",
       "      <td>AS5</td>\n",
       "      <td>Z</td>\n",
       "      <td>9.9</td>\n",
       "      <td>6.7</td>\n",
       "      <td>8.5</td>\n",
       "      <td>33</td>\n",
       "      <td>196</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ACURA</td>\n",
       "      <td>ILX</td>\n",
       "      <td>COMPACT</td>\n",
       "      <td>2.4</td>\n",
       "      <td>4</td>\n",
       "      <td>M6</td>\n",
       "      <td>Z</td>\n",
       "      <td>11.2</td>\n",
       "      <td>7.7</td>\n",
       "      <td>9.6</td>\n",
       "      <td>29</td>\n",
       "      <td>221</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>ACURA</td>\n",
       "      <td>ILX HYBRID</td>\n",
       "      <td>COMPACT</td>\n",
       "      <td>1.5</td>\n",
       "      <td>4</td>\n",
       "      <td>AV7</td>\n",
       "      <td>Z</td>\n",
       "      <td>6.0</td>\n",
       "      <td>5.8</td>\n",
       "      <td>5.9</td>\n",
       "      <td>48</td>\n",
       "      <td>136</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>ACURA</td>\n",
       "      <td>MDX 4WD</td>\n",
       "      <td>SUV - SMALL</td>\n",
       "      <td>3.5</td>\n",
       "      <td>6</td>\n",
       "      <td>AS6</td>\n",
       "      <td>Z</td>\n",
       "      <td>12.7</td>\n",
       "      <td>9.1</td>\n",
       "      <td>11.1</td>\n",
       "      <td>25</td>\n",
       "      <td>255</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>ACURA</td>\n",
       "      <td>RDX AWD</td>\n",
       "      <td>SUV - SMALL</td>\n",
       "      <td>3.5</td>\n",
       "      <td>6</td>\n",
       "      <td>AS6</td>\n",
       "      <td>Z</td>\n",
       "      <td>12.1</td>\n",
       "      <td>8.7</td>\n",
       "      <td>10.6</td>\n",
       "      <td>27</td>\n",
       "      <td>244</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Make       Model Vehicle Class  Engine Size(L)  Cylinders Transmission  \\\n",
       "0  ACURA         ILX       COMPACT             2.0          4          AS5   \n",
       "1  ACURA         ILX       COMPACT             2.4          4           M6   \n",
       "2  ACURA  ILX HYBRID       COMPACT             1.5          4          AV7   \n",
       "3  ACURA     MDX 4WD   SUV - SMALL             3.5          6          AS6   \n",
       "4  ACURA     RDX AWD   SUV - SMALL             3.5          6          AS6   \n",
       "\n",
       "  Fuel Type  Fuel Consumption City (L/100 km)  \\\n",
       "0         Z                               9.9   \n",
       "1         Z                              11.2   \n",
       "2         Z                               6.0   \n",
       "3         Z                              12.7   \n",
       "4         Z                              12.1   \n",
       "\n",
       "   Fuel Consumption Hwy (L/100 km)  Fuel Consumption Comb (L/100 km)  \\\n",
       "0                              6.7                               8.5   \n",
       "1                              7.7                               9.6   \n",
       "2                              5.8                               5.9   \n",
       "3                              9.1                              11.1   \n",
       "4                              8.7                              10.6   \n",
       "\n",
       "   Fuel Consumption Comb (mpg)  CO2 Emissions(g/km)  \n",
       "0                           33                  196  \n",
       "1                           29                  221  \n",
       "2                           48                  136  \n",
       "3                           25                  255  \n",
       "4                           27                  244  "
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Loading the data\n",
    "df=pd.read_csv(\"CO2 Emissions_Canada.csv\")\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "c74e017a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Engine Size(L)</th>\n",
       "      <th>Cylinders</th>\n",
       "      <th>Fuel Consumption City (L/100 km)</th>\n",
       "      <th>Fuel Consumption Hwy (L/100 km)</th>\n",
       "      <th>Fuel Consumption Comb (L/100 km)</th>\n",
       "      <th>Fuel Consumption Comb (mpg)</th>\n",
       "      <th>CO2 Emissions(g/km)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>7385.000000</td>\n",
       "      <td>7385.000000</td>\n",
       "      <td>7385.000000</td>\n",
       "      <td>7385.000000</td>\n",
       "      <td>7385.000000</td>\n",
       "      <td>7385.000000</td>\n",
       "      <td>7385.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>3.160068</td>\n",
       "      <td>5.615030</td>\n",
       "      <td>12.556534</td>\n",
       "      <td>9.041706</td>\n",
       "      <td>10.975071</td>\n",
       "      <td>27.481652</td>\n",
       "      <td>250.584699</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>1.354170</td>\n",
       "      <td>1.828307</td>\n",
       "      <td>3.500274</td>\n",
       "      <td>2.224456</td>\n",
       "      <td>2.892506</td>\n",
       "      <td>7.231879</td>\n",
       "      <td>58.512679</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.900000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>4.200000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>4.100000</td>\n",
       "      <td>11.000000</td>\n",
       "      <td>96.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>2.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>10.100000</td>\n",
       "      <td>7.500000</td>\n",
       "      <td>8.900000</td>\n",
       "      <td>22.000000</td>\n",
       "      <td>208.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>3.000000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>12.100000</td>\n",
       "      <td>8.700000</td>\n",
       "      <td>10.600000</td>\n",
       "      <td>27.000000</td>\n",
       "      <td>246.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>3.700000</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>14.600000</td>\n",
       "      <td>10.200000</td>\n",
       "      <td>12.600000</td>\n",
       "      <td>32.000000</td>\n",
       "      <td>288.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>8.400000</td>\n",
       "      <td>16.000000</td>\n",
       "      <td>30.600000</td>\n",
       "      <td>20.600000</td>\n",
       "      <td>26.100000</td>\n",
       "      <td>69.000000</td>\n",
       "      <td>522.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Engine Size(L)    Cylinders  Fuel Consumption City (L/100 km)  \\\n",
       "count     7385.000000  7385.000000                       7385.000000   \n",
       "mean         3.160068     5.615030                         12.556534   \n",
       "std          1.354170     1.828307                          3.500274   \n",
       "min          0.900000     3.000000                          4.200000   \n",
       "25%          2.000000     4.000000                         10.100000   \n",
       "50%          3.000000     6.000000                         12.100000   \n",
       "75%          3.700000     6.000000                         14.600000   \n",
       "max          8.400000    16.000000                         30.600000   \n",
       "\n",
       "       Fuel Consumption Hwy (L/100 km)  Fuel Consumption Comb (L/100 km)  \\\n",
       "count                      7385.000000                       7385.000000   \n",
       "mean                          9.041706                         10.975071   \n",
       "std                           2.224456                          2.892506   \n",
       "min                           4.000000                          4.100000   \n",
       "25%                           7.500000                          8.900000   \n",
       "50%                           8.700000                         10.600000   \n",
       "75%                          10.200000                         12.600000   \n",
       "max                          20.600000                         26.100000   \n",
       "\n",
       "       Fuel Consumption Comb (mpg)  CO2 Emissions(g/km)  \n",
       "count                  7385.000000          7385.000000  \n",
       "mean                     27.481652           250.584699  \n",
       "std                       7.231879            58.512679  \n",
       "min                      11.000000            96.000000  \n",
       "25%                      22.000000           208.000000  \n",
       "50%                      27.000000           246.000000  \n",
       "75%                      32.000000           288.000000  \n",
       "max                      69.000000           522.000000  "
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "7bb8cf6c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 7385 entries, 0 to 7384\n",
      "Data columns (total 12 columns):\n",
      " #   Column                            Non-Null Count  Dtype  \n",
      "---  ------                            --------------  -----  \n",
      " 0   Make                              7385 non-null   object \n",
      " 1   Model                             7385 non-null   object \n",
      " 2   Vehicle Class                     7385 non-null   object \n",
      " 3   Engine Size(L)                    7385 non-null   float64\n",
      " 4   Cylinders                         7385 non-null   int64  \n",
      " 5   Transmission                      7385 non-null   object \n",
      " 6   Fuel Type                         7385 non-null   object \n",
      " 7   Fuel Consumption City (L/100 km)  7385 non-null   float64\n",
      " 8   Fuel Consumption Hwy (L/100 km)   7385 non-null   float64\n",
      " 9   Fuel Consumption Comb (L/100 km)  7385 non-null   float64\n",
      " 10  Fuel Consumption Comb (mpg)       7385 non-null   int64  \n",
      " 11  CO2 Emissions(g/km)               7385 non-null   int64  \n",
      "dtypes: float64(4), int64(3), object(5)\n",
      "memory usage: 692.5+ KB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "c3142f1e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Make                                0.0\n",
       "Model                               0.0\n",
       "Vehicle Class                       0.0\n",
       "Engine Size(L)                      0.0\n",
       "Cylinders                           0.0\n",
       "Transmission                        0.0\n",
       "Fuel Type                           0.0\n",
       "Fuel Consumption City (L/100 km)    0.0\n",
       "Fuel Consumption Hwy (L/100 km)     0.0\n",
       "Fuel Consumption Comb (L/100 km)    0.0\n",
       "Fuel Consumption Comb (mpg)         0.0\n",
       "CO2 Emissions(g/km)                 0.0\n",
       "dtype: float64"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Checking for null values\n",
    "df.isnull().sum()/df.shape[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "b3a3ae70",
   "metadata": {},
   "outputs": [
    {
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      "text/plain": [
       "<Figure size 2500x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Analyzing the amount of C02 emissions for Car-Brand\n",
    "brand_df=pd.DataFrame(df.groupby(\"Make\")[\"CO2 Emissions(g/km)\"].mean().sort_values(ascending=True)).reset_index()\n",
    "plt.figure(figsize=(25,10));\n",
    "sns.barplot(data=brand_df,x='Make',y=\"CO2 Emissions(g/km)\");\n",
    "plt.xlabel(\"Brand\");\n",
    "plt.xticks(rotation=90);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "1b431c7d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Analyzing the amount of C02 emissions for Fuel-Type\n",
    "fuel_df=pd.DataFrame(df.groupby(\"Fuel Type\")[\"CO2 Emissions(g/km)\"].mean().sort_values(ascending=True)).reset_index()\n",
    "sns.barplot(data=fuel_df,x='Fuel Type',y=\"CO2 Emissions(g/km)\");"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "032675b8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Analyzing the amount of C02 emissions for Cylinders\n",
    "cylinders_df=pd.DataFrame(df.groupby(\"Cylinders\")[\"CO2 Emissions(g/km)\"].mean().sort_values(ascending=True)).reset_index()\n",
    "sns.barplot(data=cylinders_df,x='Cylinders',y=\"CO2 Emissions(g/km)\");"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "9e6929c4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x1000 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Analyzing the Fuel Consumption per CO2 Emissions\n",
    "\n",
    "%matplotlib inline\n",
    "plt.subplots(figsize=(10,10))\n",
    "\n",
    "plt.subplot(221)\n",
    "sns.scatterplot(data=df,x='Fuel Consumption City (L/100 km)',y='CO2 Emissions(g/km)',hue=\"Fuel Type\");\n",
    "\n",
    "plt.subplot(222)\n",
    "sns.scatterplot(data=df,x='Fuel Consumption Hwy (L/100 km)',y='CO2 Emissions(g/km)',hue=\"Fuel Type\");\n",
    "\n",
    "\n",
    "plt.subplot(223)\n",
    "sns.scatterplot(data=df,x='Fuel Consumption Comb (L/100 km)',y='CO2 Emissions(g/km)',hue=\"Fuel Type\");\n",
    "\n",
    "plt.subplot(224)\n",
    "sns.scatterplot(data=df,x='Fuel Consumption Comb (mpg)',y='CO2 Emissions(g/km)',hue=\"Fuel Type\");\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "2e711d62",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Creating a Neural Network in order to predict the CO2 Emissions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "19e9fa7b",
   "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>Make</th>\n",
       "      <th>Model</th>\n",
       "      <th>Vehicle Class</th>\n",
       "      <th>Engine Size(L)</th>\n",
       "      <th>Cylinders</th>\n",
       "      <th>Transmission</th>\n",
       "      <th>Fuel Type</th>\n",
       "      <th>Fuel Consumption City (L/100 km)</th>\n",
       "      <th>Fuel Consumption Hwy (L/100 km)</th>\n",
       "      <th>Fuel Consumption Comb (L/100 km)</th>\n",
       "      <th>Fuel Consumption Comb (mpg)</th>\n",
       "      <th>CO2 Emissions(g/km)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ACURA</td>\n",
       "      <td>ILX</td>\n",
       "      <td>COMPACT</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4</td>\n",
       "      <td>AS5</td>\n",
       "      <td>Z</td>\n",
       "      <td>9.9</td>\n",
       "      <td>6.7</td>\n",
       "      <td>8.5</td>\n",
       "      <td>33</td>\n",
       "      <td>196</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ACURA</td>\n",
       "      <td>ILX</td>\n",
       "      <td>COMPACT</td>\n",
       "      <td>2.4</td>\n",
       "      <td>4</td>\n",
       "      <td>M6</td>\n",
       "      <td>Z</td>\n",
       "      <td>11.2</td>\n",
       "      <td>7.7</td>\n",
       "      <td>9.6</td>\n",
       "      <td>29</td>\n",
       "      <td>221</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>ACURA</td>\n",
       "      <td>ILX HYBRID</td>\n",
       "      <td>COMPACT</td>\n",
       "      <td>1.5</td>\n",
       "      <td>4</td>\n",
       "      <td>AV7</td>\n",
       "      <td>Z</td>\n",
       "      <td>6.0</td>\n",
       "      <td>5.8</td>\n",
       "      <td>5.9</td>\n",
       "      <td>48</td>\n",
       "      <td>136</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>ACURA</td>\n",
       "      <td>MDX 4WD</td>\n",
       "      <td>SUV - SMALL</td>\n",
       "      <td>3.5</td>\n",
       "      <td>6</td>\n",
       "      <td>AS6</td>\n",
       "      <td>Z</td>\n",
       "      <td>12.7</td>\n",
       "      <td>9.1</td>\n",
       "      <td>11.1</td>\n",
       "      <td>25</td>\n",
       "      <td>255</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>ACURA</td>\n",
       "      <td>RDX AWD</td>\n",
       "      <td>SUV - SMALL</td>\n",
       "      <td>3.5</td>\n",
       "      <td>6</td>\n",
       "      <td>AS6</td>\n",
       "      <td>Z</td>\n",
       "      <td>12.1</td>\n",
       "      <td>8.7</td>\n",
       "      <td>10.6</td>\n",
       "      <td>27</td>\n",
       "      <td>244</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Make       Model Vehicle Class  Engine Size(L)  Cylinders Transmission  \\\n",
       "0  ACURA         ILX       COMPACT             2.0          4          AS5   \n",
       "1  ACURA         ILX       COMPACT             2.4          4           M6   \n",
       "2  ACURA  ILX HYBRID       COMPACT             1.5          4          AV7   \n",
       "3  ACURA     MDX 4WD   SUV - SMALL             3.5          6          AS6   \n",
       "4  ACURA     RDX AWD   SUV - SMALL             3.5          6          AS6   \n",
       "\n",
       "  Fuel Type  Fuel Consumption City (L/100 km)  \\\n",
       "0         Z                               9.9   \n",
       "1         Z                              11.2   \n",
       "2         Z                               6.0   \n",
       "3         Z                              12.7   \n",
       "4         Z                              12.1   \n",
       "\n",
       "   Fuel Consumption Hwy (L/100 km)  Fuel Consumption Comb (L/100 km)  \\\n",
       "0                              6.7                               8.5   \n",
       "1                              7.7                               9.6   \n",
       "2                              5.8                               5.9   \n",
       "3                              9.1                              11.1   \n",
       "4                              8.7                              10.6   \n",
       "\n",
       "   Fuel Consumption Comb (mpg)  CO2 Emissions(g/km)  \n",
       "0                           33                  196  \n",
       "1                           29                  221  \n",
       "2                           48                  136  \n",
       "3                           25                  255  \n",
       "4                           27                  244  "
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "1e382aaf",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The feature Make contains 42  distinct values \n",
      "The feature Model contains 2053  distinct values \n",
      "The feature Vehicle Class contains 16  distinct values \n",
      "The feature Transmission contains 27  distinct values \n",
      "The feature Fuel Type contains 5  distinct values \n"
     ]
    }
   ],
   "source": [
    "#Finding the categorical features and the amount of different values the have\n",
    "\n",
    "categorical=df.select_dtypes(include=\"object\").columns\n",
    "\n",
    "for line in categorical:\n",
    "    print(\"The feature \" + line + \" contains\" ,  str(len(df[line].unique())) ,\" distinct values \")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "742b3a90",
   "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>Make</th>\n",
       "      <th>Vehicle Class</th>\n",
       "      <th>Engine Size(L)</th>\n",
       "      <th>Cylinders</th>\n",
       "      <th>Transmission</th>\n",
       "      <th>Fuel Type</th>\n",
       "      <th>Fuel Consumption City (L/100 km)</th>\n",
       "      <th>Fuel Consumption Hwy (L/100 km)</th>\n",
       "      <th>Fuel Consumption Comb (L/100 km)</th>\n",
       "      <th>Fuel Consumption Comb (mpg)</th>\n",
       "      <th>CO2 Emissions(g/km)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ACURA</td>\n",
       "      <td>COMPACT</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4</td>\n",
       "      <td>AS5</td>\n",
       "      <td>Z</td>\n",
       "      <td>9.9</td>\n",
       "      <td>6.7</td>\n",
       "      <td>8.5</td>\n",
       "      <td>33</td>\n",
       "      <td>196</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ACURA</td>\n",
       "      <td>COMPACT</td>\n",
       "      <td>2.4</td>\n",
       "      <td>4</td>\n",
       "      <td>M6</td>\n",
       "      <td>Z</td>\n",
       "      <td>11.2</td>\n",
       "      <td>7.7</td>\n",
       "      <td>9.6</td>\n",
       "      <td>29</td>\n",
       "      <td>221</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>ACURA</td>\n",
       "      <td>COMPACT</td>\n",
       "      <td>1.5</td>\n",
       "      <td>4</td>\n",
       "      <td>AV7</td>\n",
       "      <td>Z</td>\n",
       "      <td>6.0</td>\n",
       "      <td>5.8</td>\n",
       "      <td>5.9</td>\n",
       "      <td>48</td>\n",
       "      <td>136</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>ACURA</td>\n",
       "      <td>SUV - SMALL</td>\n",
       "      <td>3.5</td>\n",
       "      <td>6</td>\n",
       "      <td>AS6</td>\n",
       "      <td>Z</td>\n",
       "      <td>12.7</td>\n",
       "      <td>9.1</td>\n",
       "      <td>11.1</td>\n",
       "      <td>25</td>\n",
       "      <td>255</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>ACURA</td>\n",
       "      <td>SUV - SMALL</td>\n",
       "      <td>3.5</td>\n",
       "      <td>6</td>\n",
       "      <td>AS6</td>\n",
       "      <td>Z</td>\n",
       "      <td>12.1</td>\n",
       "      <td>8.7</td>\n",
       "      <td>10.6</td>\n",
       "      <td>27</td>\n",
       "      <td>244</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Make Vehicle Class  Engine Size(L)  Cylinders Transmission Fuel Type  \\\n",
       "0  ACURA       COMPACT             2.0          4          AS5         Z   \n",
       "1  ACURA       COMPACT             2.4          4           M6         Z   \n",
       "2  ACURA       COMPACT             1.5          4          AV7         Z   \n",
       "3  ACURA   SUV - SMALL             3.5          6          AS6         Z   \n",
       "4  ACURA   SUV - SMALL             3.5          6          AS6         Z   \n",
       "\n",
       "   Fuel Consumption City (L/100 km)  Fuel Consumption Hwy (L/100 km)  \\\n",
       "0                               9.9                              6.7   \n",
       "1                              11.2                              7.7   \n",
       "2                               6.0                              5.8   \n",
       "3                              12.7                              9.1   \n",
       "4                              12.1                              8.7   \n",
       "\n",
       "   Fuel Consumption Comb (L/100 km)  Fuel Consumption Comb (mpg)  \\\n",
       "0                               8.5                           33   \n",
       "1                               9.6                           29   \n",
       "2                               5.9                           48   \n",
       "3                              11.1                           25   \n",
       "4                              10.6                           27   \n",
       "\n",
       "   CO2 Emissions(g/km)  \n",
       "0                  196  \n",
       "1                  221  \n",
       "2                  136  \n",
       "3                  255  \n",
       "4                  244  "
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Dropping the feature \"Model\" due to it has a huge amount of distinct values and will generate problems in the Deep Learning Model\n",
    "#when we will convert it into dummies variables\n",
    "\n",
    "df=df.drop(\"Model\",axis=1)\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "8f09d646",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Converting the categorical features into dummies variables\n",
    "\n",
    "df=pd.get_dummies(df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "d3070a6d",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Defining X and y\n",
    "X=df.drop(columns=[\"CO2 Emissions(g/km)\"])\n",
    "y=df[[\"CO2 Emissions(g/km)\"]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "002776e7",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Splitting the data in train and test\n",
    "from sklearn.model_selection import train_test_split\n",
    "X_train,X_test,y_train,y_test=train_test_split(X,y,test_size=0.3, random_state=42)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "46fe1b37",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Standardization the data\n",
    "\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "\n",
    "scaler_x=StandardScaler()\n",
    "scaler_y=StandardScaler()\n",
    "\n",
    "scaler_x.fit(X_train)\n",
    "scaler_y.fit(y_train)\n",
    "\n",
    "X_train=pd.DataFrame(scaler_x.transform(X_train),columns=X_train.columns)\n",
    "\n",
    "y_train=pd.DataFrame(scaler_y.transform(y_train),columns=y_train.columns)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "a7051485",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Importing the libraries for the ANN\n",
    "from tensorflow.keras.models import Sequential\n",
    "from tensorflow.keras.layers import Dense\n",
    "from tensorflow.keras.callbacks import EarlyStopping"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "8d15160c",
   "metadata": {},
   "outputs": [],
   "source": [
    "early=EarlyStopping(monitor=\"val_loss\", patience=5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "e376afa1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/200\n",
      "122/122 [==============================] - 3s 9ms/step - loss: 0.5778 - val_loss: 0.5383\n",
      "Epoch 2/200\n",
      "122/122 [==============================] - 1s 5ms/step - loss: 0.4564 - val_loss: 0.4573\n",
      "Epoch 3/200\n",
      "122/122 [==============================] - 1s 5ms/step - loss: 0.3870 - val_loss: 0.3965\n",
      "Epoch 4/200\n",
      "122/122 [==============================] - 1s 5ms/step - loss: 0.3341 - val_loss: 0.3466\n",
      "Epoch 5/200\n",
      "122/122 [==============================] - 1s 5ms/step - loss: 0.2902 - val_loss: 0.3059\n",
      "Epoch 6/200\n",
      "122/122 [==============================] - 1s 5ms/step - loss: 0.2543 - val_loss: 0.2718\n",
      "Epoch 7/200\n",
      "122/122 [==============================] - 1s 5ms/step - loss: 0.2253 - val_loss: 0.2430\n",
      "Epoch 8/200\n",
      "122/122 [==============================] - 1s 5ms/step - loss: 0.1998 - val_loss: 0.2182\n",
      "Epoch 9/200\n",
      "122/122 [==============================] - 1s 5ms/step - loss: 0.1775 - val_loss: 0.1994\n",
      "Epoch 10/200\n",
      "122/122 [==============================] - 1s 5ms/step - loss: 0.1599 - val_loss: 0.1807\n",
      "Epoch 11/200\n",
      "122/122 [==============================] - 1s 5ms/step - loss: 0.1439 - val_loss: 0.1651\n",
      "Epoch 12/200\n",
      "122/122 [==============================] - 1s 5ms/step - loss: 0.1341 - val_loss: 0.1647\n",
      "Epoch 13/200\n",
      "122/122 [==============================] - 1s 5ms/step - loss: 0.1309 - val_loss: 0.1416\n",
      "Epoch 14/200\n",
      "122/122 [==============================] - 1s 5ms/step - loss: 0.1111 - val_loss: 0.1297\n",
      "Epoch 15/200\n",
      "122/122 [==============================] - 1s 5ms/step - loss: 0.0997 - val_loss: 0.1203\n",
      "Epoch 16/200\n",
      "122/122 [==============================] - 1s 5ms/step - loss: 0.0911 - val_loss: 0.1133\n",
      "Epoch 17/200\n",
      "122/122 [==============================] - 1s 5ms/step - loss: 0.0847 - val_loss: 0.1047\n",
      "Epoch 18/200\n",
      "122/122 [==============================] - 1s 5ms/step - loss: 0.0804 - val_loss: 0.1043\n",
      "Epoch 19/200\n",
      "122/122 [==============================] - 1s 5ms/step - loss: 0.0729 - val_loss: 0.0904\n",
      "Epoch 20/200\n",
      "122/122 [==============================] - 1s 5ms/step - loss: 0.0660 - val_loss: 0.0843\n",
      "Epoch 21/200\n",
      "122/122 [==============================] - 1s 5ms/step - loss: 0.0614 - val_loss: 0.0788\n",
      "Epoch 22/200\n",
      "122/122 [==============================] - 1s 5ms/step - loss: 0.0560 - val_loss: 0.0735\n",
      "Epoch 23/200\n",
      "122/122 [==============================] - 1s 5ms/step - loss: 0.0518 - val_loss: 0.0687\n",
      "Epoch 24/200\n",
      "122/122 [==============================] - 1s 5ms/step - loss: 0.0478 - val_loss: 0.0651\n",
      "Epoch 25/200\n",
      "122/122 [==============================] - 1s 5ms/step - loss: 0.0449 - val_loss: 0.0612\n",
      "Epoch 26/200\n",
      "122/122 [==============================] - 1s 5ms/step - loss: 0.0423 - val_loss: 0.0585\n",
      "Epoch 27/200\n",
      "122/122 [==============================] - 1s 5ms/step - loss: 0.0402 - val_loss: 0.0557\n",
      "Epoch 28/200\n",
      "122/122 [==============================] - 1s 4ms/step - loss: 0.0386 - val_loss: 0.0537\n",
      "Epoch 29/200\n",
      "122/122 [==============================] - 1s 5ms/step - loss: 0.0359 - val_loss: 0.0509\n",
      "Epoch 30/200\n",
      "122/122 [==============================] - 1s 5ms/step - loss: 0.0348 - val_loss: 0.0481\n",
      "Epoch 31/200\n",
      "122/122 [==============================] - 1s 5ms/step - loss: 0.0316 - val_loss: 0.0460\n",
      "Epoch 32/200\n",
      "122/122 [==============================] - 1s 5ms/step - loss: 0.0322 - val_loss: 0.0473\n",
      "Epoch 33/200\n",
      "122/122 [==============================] - 1s 5ms/step - loss: 0.0290 - val_loss: 0.0407\n",
      "Epoch 34/200\n",
      "122/122 [==============================] - 1s 5ms/step - loss: 0.0264 - val_loss: 0.0387\n",
      "Epoch 35/200\n",
      "122/122 [==============================] - 1s 5ms/step - loss: 0.0255 - val_loss: 0.0376\n",
      "Epoch 36/200\n",
      "122/122 [==============================] - 1s 5ms/step - loss: 0.0244 - val_loss: 0.0355\n",
      "Epoch 37/200\n",
      "122/122 [==============================] - 1s 5ms/step - loss: 0.0224 - val_loss: 0.0340\n",
      "Epoch 38/200\n",
      "122/122 [==============================] - 1s 5ms/step - loss: 0.0216 - val_loss: 0.0326\n",
      "Epoch 39/200\n",
      "122/122 [==============================] - 1s 5ms/step - loss: 0.0214 - val_loss: 0.0319\n",
      "Epoch 40/200\n",
      "122/122 [==============================] - 1s 5ms/step - loss: 0.0203 - val_loss: 0.0315\n",
      "Epoch 41/200\n",
      "122/122 [==============================] - 1s 5ms/step - loss: 0.0191 - val_loss: 0.0292\n",
      "Epoch 42/200\n",
      "122/122 [==============================] - 1s 5ms/step - loss: 0.0184 - val_loss: 0.0324\n",
      "Epoch 43/200\n",
      "122/122 [==============================] - 1s 5ms/step - loss: 0.0180 - val_loss: 0.0271\n",
      "Epoch 44/200\n",
      "122/122 [==============================] - 1s 5ms/step - loss: 0.0170 - val_loss: 0.0279\n",
      "Epoch 45/200\n",
      "122/122 [==============================] - 1s 5ms/step - loss: 0.0167 - val_loss: 0.0292\n",
      "Epoch 46/200\n",
      "122/122 [==============================] - 1s 5ms/step - loss: 0.0170 - val_loss: 0.0267\n",
      "Epoch 47/200\n",
      "122/122 [==============================] - 1s 5ms/step - loss: 0.0157 - val_loss: 0.0273\n",
      "Epoch 48/200\n",
      "122/122 [==============================] - 1s 5ms/step - loss: 0.0160 - val_loss: 0.0256\n",
      "Epoch 49/200\n",
      "122/122 [==============================] - 1s 5ms/step - loss: 0.0142 - val_loss: 0.0235\n",
      "Epoch 50/200\n",
      "122/122 [==============================] - 1s 5ms/step - loss: 0.0140 - val_loss: 0.0239\n",
      "Epoch 51/200\n",
      "122/122 [==============================] - 1s 5ms/step - loss: 0.0134 - val_loss: 0.0212\n",
      "Epoch 52/200\n",
      "122/122 [==============================] - 1s 5ms/step - loss: 0.0130 - val_loss: 0.0225\n",
      "Epoch 53/200\n",
      "122/122 [==============================] - 1s 5ms/step - loss: 0.0134 - val_loss: 0.0252\n",
      "Epoch 54/200\n",
      "122/122 [==============================] - 1s 5ms/step - loss: 0.0138 - val_loss: 0.0223\n",
      "Epoch 55/200\n",
      "122/122 [==============================] - 1s 5ms/step - loss: 0.0132 - val_loss: 0.0213\n",
      "Epoch 56/200\n",
      "122/122 [==============================] - 1s 5ms/step - loss: 0.0121 - val_loss: 0.0203\n",
      "Epoch 57/200\n",
      "122/122 [==============================] - 1s 5ms/step - loss: 0.0125 - val_loss: 0.0216\n",
      "Epoch 58/200\n",
      "122/122 [==============================] - 1s 5ms/step - loss: 0.0123 - val_loss: 0.0198\n",
      "Epoch 59/200\n",
      "122/122 [==============================] - 1s 5ms/step - loss: 0.0121 - val_loss: 0.0195\n",
      "Epoch 60/200\n",
      "122/122 [==============================] - 1s 5ms/step - loss: 0.0126 - val_loss: 0.0202\n",
      "Epoch 61/200\n",
      "122/122 [==============================] - 1s 5ms/step - loss: 0.0114 - val_loss: 0.0204\n",
      "Epoch 62/200\n",
      "122/122 [==============================] - 1s 5ms/step - loss: 0.0112 - val_loss: 0.0187\n",
      "Epoch 63/200\n",
      "122/122 [==============================] - 1s 5ms/step - loss: 0.0108 - val_loss: 0.0186\n",
      "Epoch 64/200\n",
      "122/122 [==============================] - 1s 5ms/step - loss: 0.0113 - val_loss: 0.0188\n",
      "Epoch 65/200\n",
      "122/122 [==============================] - 1s 5ms/step - loss: 0.0116 - val_loss: 0.0190\n",
      "Epoch 66/200\n",
      "122/122 [==============================] - 1s 5ms/step - loss: 0.0113 - val_loss: 0.0204\n",
      "Epoch 67/200\n",
      "122/122 [==============================] - 1s 5ms/step - loss: 0.0112 - val_loss: 0.0184\n",
      "Epoch 68/200\n",
      "122/122 [==============================] - 1s 5ms/step - loss: 0.0110 - val_loss: 0.0193\n",
      "Epoch 69/200\n",
      "122/122 [==============================] - 1s 5ms/step - loss: 0.0115 - val_loss: 0.0191\n",
      "Epoch 70/200\n",
      "122/122 [==============================] - 1s 5ms/step - loss: 0.0110 - val_loss: 0.0199\n",
      "Epoch 71/200\n",
      "122/122 [==============================] - 1s 5ms/step - loss: 0.0116 - val_loss: 0.0193\n",
      "Epoch 72/200\n",
      "122/122 [==============================] - 1s 5ms/step - loss: 0.0117 - val_loss: 0.0187\n"
     ]
    }
   ],
   "source": [
    "#Creating the model\n",
    "model=Sequential()\n",
    "model.add(Dense(256,input_dim=X.shape[1],activation=\"relu\"))\n",
    "model.add(Dense(128,activation=\"relu\"))\n",
    "model.add(Dense(64,activation=\"relu\"))\n",
    "model.add(Dense(32,activation=\"relu\"))\n",
    "model.add(Dense(16,activation=\"relu\"))\n",
    "model.add(Dense(8,activation=\"relu\"))\n",
    "model.add(Dense(1,activation=\"linear\"))\n",
    "\n",
    "#Compiling the model\n",
    "model.compile(optimizer=\"adam\", loss=\"mse\")\n",
    "\n",
    "#Fitting the model\n",
    "history=model.fit(X_train,y_train,epochs=200,batch_size=32,validation_split=0.25, callbacks=[early])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "c578465b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.012006806209683418"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Evaluating the model\n",
    "\n",
    "X_test_scaled=pd.DataFrame(scaler_x.transform(X_test),columns=X_test.columns)\n",
    "\n",
    "y_test_scaled=pd.DataFrame(scaler_y.transform(y_test),columns=y_test.columns)\n",
    "\n",
    "model.evaluate(X_test_scaled,y_test_scaled,verbose=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "bea83a57",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "MAE : 3.451974 , MSE : 41.324041 , R2 : 0.987766\n"
     ]
    }
   ],
   "source": [
    "#Evaluating the neural network\n",
    "\n",
    "from sklearn.metrics import mean_absolute_error,mean_squared_error,r2_score\n",
    "\n",
    "X_test_scaled=pd.DataFrame(scaler_x.transform(X_test),columns=X_test.columns)\n",
    "\n",
    "y_pred=pd.DataFrame(scaler_y.inverse_transform(model.predict(X_test_scaled,verbose=0).reshape(-1,1)),columns=y_test.columns)\n",
    "\n",
    "mae=mean_absolute_error(y_test,y_pred)\n",
    "\n",
    "mse=mean_squared_error(y_test,y_pred)\n",
    "\n",
    "r2=r2_score(y_test,y_pred)\n",
    "\n",
    "print(\"MAE : %f , MSE : %f , R2 : %f\" % (mae,mse,r2))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "2d176ceb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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AgGWsyLPPPlvo+/Lvf/8bQgjcuHGjzPGW9/uqOEW9Xnp6Otq3b4+9e/diypQp2Lp1K/bv34+VK1cCuPf3ECj8/Qfkn0FpzjUYDNDr9YXOvfv97u3tXejcosqKMm3aNLz66qto3bo1VqxYgT179mD//v3o0aNHkTHe6/1U8PO7+/eouLKiDBs2DNnZ2Vi6dCkAYP369YiPj8dLL71kOSY2Nhbt27fHlStX8PXXX2P79u3Yv3+/ZVxUab6/dyr4u3GvmM1mMyIjI7Fy5Uq8++672LRpE/bt22f5J6Osr3v369/r71aBB3lfVRacRVJJFQwIjI+PL7Tv6tWrAAAPDw8AgIODAyZPnozJkyfj2rVrltaMxx9/HCdPngQgf+D9/PPPAOSR+b/++ismTZqEnJwc/PDDD0XGUPAGLy4GlUoFV1fXB69sGbm7u2Pv3r0QQlj9siYmJiIvL8/yfXF3d0deXh6Sk5OtflkLPkALuLq6WlqG7hyYeaeQkJAyx9mlSxf873//w7Zt22A2m9GpUyc4OTnBz88P0dHR2LhxI9q3b2/5A17RPDw8MGPGDMyYMQOxsbFYvXo1xo0bh8TERKxbt87yffz222+LnQFR2g+5Oyn1vipqDYvNmzfj6tWr2Lp1q9UslfJYz+N+ubu7Y9++fYXK734fF2fRokXo1KkTZs2aZVVe0j8X94qnuNcvbUwNGzZEq1atMG/ePIwcORLz5s2Dn58fIiMjLcesWrUKGRkZWLlypaX1AMB9r6/j7u5eqpj/+ecfHD58GPPnz8eQIUMs5WfPnr2v173z9Uvzd6sqYQtGJeXg4IDWrVtj5cqVVhmr2WzGokWL4O/vX+R6AN7e3hg6dCj69++PU6dOFdnUXK9ePbz//vto0qQJDh48WGwMoaGhqFmzJn755RcIISzlGRkZWLFihWUGQEXr0qUL0tPTsWrVKqvyglHsXbp0ASA3MQLA4sWLrY775ZdfrJ4bDAZ07twZhw4dQtOmTREeHl5oK+q/iXvp2rUrrl27hhkzZqBNmzaW5s4uXbrgt99+w/79+0vVPVIR/7UEBgbijTfeQLdu3SzviXbt2qFGjRo4fvx4kd+T8PBwS6tTaVtNgPJ7X5UlhgIFf+jvTvJ+/PHHMr9+eenYsSPS0tLw559/WpUX/Pd/L5IkFarfkSNH7ntNj9DQUPj6+mLJkiVWP79Lly5h165dpb7OSy+9hL1792LHjh34/fffMWTIEKuumaJ+NkII/PTTT/cVd+fOnXHs2DEcPnzYqvzuvwdleU+U5T1X2r9bVQlbMBS2efPmIhcG6tWrF6ZOnYpu3bqhc+fOeOedd6DVajFz5kz8888/WLJkieUXoXXr1ujTpw+aNm0KV1dXnDhxAgsXLrT8oT5y5AjeeOMNPPfcc6hbty60Wi02b96MI0eOYNy4ccXGplKp8Pnnn2PgwIHo06cPRo4cCaPRiC+++AK3bt3CZ599Vl7flhINHjwY33//PYYMGYKLFy+iSZMm2LFjBz799FP06tXL8qEdGRmJDh064N1330VGRgbCw8Oxc+dOLFy4sNA1v/76azz66KNo3749Xn31VQQHByMtLQ1nz57F77//js2bN5c5zsceewySJGHDhg2YPHmypbxr166W/4xKk2A0adIES5cuxbJly1CrVi3o9Xo0adKkzPHcKSUlBZ07d8aAAQNQv359ODk5Yf/+/Vi3bh2efvppAPKYiG+//RZDhgzBjRs38Oyzz8LLywvXr1/H4cOHcf36dct/xQXxfP311xgyZAjs7OwQGhpq1YdcoLzeV40bNwYAzJ49G05OTtDr9QgJCSkxOWzbti1cXV0RFRWFiRMnws7ODosXLy70IaSkIUOGYPr06XjxxRcxZcoU1KlTB3/++SfWr18PAFbjWIrSp08ffPzxx5g4cSI6duyIU6dO4aOPPkJISAjy8vLKHI9KpcLHH3+MESNG4KmnnsLLL7+MW7duYdKkSaXuIgHkMSRjxoxB//79YTQaC00p7datG7RaLfr37493330X2dnZmDVr1n13n40ePRpz585F7969MWXKFHh7e2Px4sWWVt4C9evXR+3atTFu3DgIIeDm5obff//dMnbqTmV535f271aVotjw0mquYCZFcVvBqOTt27eLxx57TDg4OAh7e3vRpk0b8fvvv1tda9y4cSI8PFy4uroKnU4natWqJd566y3LaOxr166JoUOHivr16wsHBwfh6OgomjZtKqZPn37PqYxCCLFq1SrRunVrodfrhYODg+jSpYvYuXOn1TH3M4vk7hk0BaP0r1+/blU+ZMgQ4eDgYFWWnJwsoqKihK+vr9BoNCIoKEiMHz9eZGdnWx1369YtMWzYMFGjRg1hMBhEt27dxMmTJwvNIhFCHkU/bNgwUbNmTWFnZyc8PT1F27ZtxZQpU6yOQRlG7rdo0UIAsPp+XblyRQAQ7u7uVqPw7/we3OnixYsiMjJSODk5CQCW0fLFfc9LE2N2draIiooSTZs2Fc7OzsLe3l6EhoaKiRMnioyMDKtjt23bJnr37i3c3NyEnZ2dqFmzpujdu3eh1x0/frzw8/MTKpWqxFH5BWz9vhJCiBkzZoiQkBChVqutvgcdO3YUjRo1KvKcXbt2iYiICGEwGISnp6cYMWKEOHjwYKHvYXGzSHr37l3omnfPIChuFsnd7+viXic2NlY8/fTTwtHRUTg5OYlnnnlGrF27ttCshqIYjUbxzjvviJo1awq9Xi9atmwpVq1aVWjmRcH75osvvih0jaJ+X+bMmSPq1q0rtFqtqFevnpg7d26RszlKMmDAAAFAtGvXrsj9v//+u2jWrJnQ6/WiZs2a4v/+7/8ss8Pu/l7eaxaJEEIcP35cdOvWTej1euHm5iaGDx9umTZ75/UKjnNychKurq7iueeeE7GxsUV+H4p739/9HhCi9H+3AIjXX3+90PejqDpVZpIQd7RxERHRQ+HTTz/F+++/j9jYWK7+SpUSu0iIiCq57777DoDcfJ+bm4vNmzfjm2++wYsvvsjkgiotJhhERJWcwWDA9OnTcfHiRRiNRgQGBmLs2LF4//33lQ6NqFjsIiEiIiKb4zRVIiIisjkmGERERGRzTDCIiIjI5hQf5Dlz5kx88cUXiI+PR6NGjTBjxgy0b9++2OONRiM++ugjLFq0CAkJCfD398eECRMwbNiwUr2e2WzG1atX4eTkVOTSwURERFQ0IQTS0tLg5+d3z0XeFE0wli1bhtGjR2PmzJlo164dfvzxR/Ts2RPHjx+3ujvhnZ5//nlcu3YNP//8M+rUqWNZx720rl69ioCAAFtVgYiIqNqJi4u75xRpRWeRtG7dGi1btrS6CU+DBg3Qt29fTJ06tdDx69atwwsvvIDz588XuuNmaaWkpKBGjRqIi4uDs7PzfcdORERU3aSmpiIgIAC3bt2Ci4tLiccq1oKRk5ODAwcOFLoXRmRkZLE3zFm9ejXCw8Px+eefY+HChXBwcMATTzyBjz/+GPb29kWeYzQaYTQaLc8L7iDo7OzMBIOIiOg+lGaIgWIJRlJSEkwmU6HbPXt7exd7y9/z589jx44d0Ov1+O2335CUlITXXnsNN27cwNy5c4s8Z+rUqVY3miIiIqLyp/gskruzICFEsZmR2WyGJElYvHgxWrVqhV69emHatGmYP39+sbfLHT9+PFJSUixbXFyczetARERE1hRrwfDw8IBarS7UWpGYmFioVaOAr68vatasadXv06BBAwghcPnyZdStW7fQOTqdDjqdzrbBExERUYkUSzC0Wi3CwsIQHR2Np556ylIeHR2NJ598sshz2rVrh+XLlyM9PR2Ojo4AgNOnT0OlUvGGP0RECjGZTMjNzVU6DLIROzs7qNXqB76OotNUx4wZg0GDBiE8PBwRERGYPXs2YmNjERUVBUDu3rhy5QoWLFgAABgwYAA+/vhjvPTSS5g8eTKSkpLwf//3fxg2bFixgzyJiKj8pKen4/Lly+BtraoOSZLg7+9v+Uf+fimaYPTr1w/Jycn46KOPEB8fj8aNG2Pt2rUICgoCAMTHxyM2NtZyvKOjI6KjozFq1CiEh4fD3d0dzz//PKZMmaJUFYiIqi2TyYTLly/DYDDA09OTixdWAUIIXL9+3TLs4EFaMqrd3VRTU1Ph4uKClJQUTlMlInoA2dnZuHDhAoKDg9mKXIVkZWXh4sWLCAkJgV6vt9pXls9QxWeREBHRw40tF1WLrX6eTDCIiIjI5hS/2VlVcCEpAyfjUxHgZkDjmiUvnUpERFQdsAXDBpbuj8Wriw9ixcHLSodCREQK6NSpE0aPHl3q4y9evAhJkhATE1NuMSmNLRg24O0kD4JJTDXe40giIlLSvcYXDBkyBPPnzy/zdVeuXAk7O7tSHx8QEID4+Hh4eHiU+bUeFkwwbMDLWV4pNDEtW+FIiIioJPHx8Zavly1bhg8//BCnTp2ylN09GyY3N7dUiUNZ7/CtVqvh4+NTpnMeNuwisQFv5/wWjDS2YBBR9SWEQGZOniJbaVdc8PHxsWwuLi6QJMnyPDs7GzVq1MCvv/6KTp06Qa/XY9GiRUhOTkb//v3h7+8Pg8GAJk2aYMmSJVbXvbuLJDg4GJ9++imGDRsGJycnBAYGYvbs2Zb9d3eRbN26FZIkYdOmTQgPD4fBYEDbtm2tkh8AmDJlCry8vODk5IQRI0Zg3LhxaN68+X39vMobWzBswMtJbsG4lppd4s3aiIiqsqxcExp+uF6R1z7+UXcYtLb5SBs7diy++uorzJs3DzqdDtnZ2QgLC8PYsWPh7OyMNWvWYNCgQahVqxZat25d7HW++uorfPzxx3jvvffw3//+F6+++io6dOiA+vXrF3vOhAkT8NVXX8HT0xNRUVEYNmwYdu7cCQBYvHgxPvnkE8ycORPt2rXD0qVL8dVXXyEkJMQm9bY1Jhg24JU/BiM714w0Yx6c9aXvhyMiospl9OjRePrpp63K3nnnHcvXo0aNwrp167B8+fISE4xevXrhtddeAyAnLdOnT8fWrVtLTDA++eQTdOzYEQAwbtw49O7dG9nZ2dDr9fj2228xfPhwvPTSSwCADz/8EBs2bEB6evp917U8McGwAXutGk56DdKy85CYms0Eg4iqJXs7NY5/1F2x17aV8PBwq+cmkwmfffYZli1bhitXrsBoNMJoNMLBwaHE6zRt2tTydUFXTGJiYqnP8fX1BSDfZTwwMBCnTp2yJCwFWrVqhc2bN5eqXhWNCYaNeDnp8hMMI+p4OSkdDhFRhZMkyWbdFEq6O3H46quvMH36dMyYMQNNmjSBg4MDRo8ejZycnBKvc/fgUEmSYDabS31OQXf7nefc3QVfme/2wUGeNlIw0PMaZ5IQEVUp27dvx5NPPokXX3wRzZo1Q61atXDmzJkKjyM0NBT79u2zKvv7778rPI7SYoJhIwUDPbkWBhFR1VKnTh1ER0dj165dOHHiBEaOHImEhIQKj2PUqFH4+eef8Z///AdnzpzBlClTcOTIkUo7seDhb8uqJDhVlYioavrggw9w4cIFdO/eHQaDAa+88gr69u2LlJSUCo1j4MCBOH/+PN555x1kZ2fj+eefx9ChQwu1alQWvF27jczZfh5T1pxAn6a++G5AS5tdl4iosiq4XXtRt/WmitGtWzf4+Phg4cKFNrtmST/XsnyGsgXDRrzYgkFEROUoMzMTP/zwA7p37w61Wo0lS5Zg48aNiI6OVjq0IjHBsBFvyxgMDvIkIiLbkyQJa9euxZQpU2A0GhEaGooVK1aga9euSodWJCYYNsIWDCIiKk/29vbYuHGj0mGUGmeR2EjBLJLMHBPSjXkKR0NERKQsJhg24qDTwFEnNwhdYzcJERFVc0wwbMhy23auhUFERNUcEwwbsiy2xdU8iYiommOCYQv7fgJmPYoXclcBYAsGEREREwxbyE4Brh1FLfNFAByDQURExATDFtzrAAC8c68A4FRVIqKqrFOnThg9erTleXBwMGbMmFHiOZIkYdWqVQ/82ra6TkVggmEL+QmGa9YlAIJjMIiIKqnHH3+82IWpdu/eDUmScPDgwTJdc//+/XjllVdsEZ7FpEmT0Lx580Ll8fHx6Nmzp01fq7wwwbAFt1oAAG1uKlyRxjEYRESV1PDhw7F582ZcunSp0L65c+eiefPmaNmybPeT8vT0hMFgsFWIJfLx8YFOp6uQ13pQTDBsQWsAnP0BACFSArtIiKh6EgLIyVBmK+V9O/v06QMvLy/Mnz/fqjwzMxPLli1D37590b9/f/j7+8NgMKBJkyZYsmRJide8u4vkzJkz6NChA/R6PRo2bFjkvULGjh2LevXqwWAwoFatWvjggw+Qm5sLAJg/fz4mT56Mw4cPQ5IkSJJkiffuLpKjR4/iscceg729Pdzd3fHKK68gPT3dsn/o0KHo27cvvvzyS/j6+sLd3R2vv/665bXKE5cKtxX32kDqZdRSxeOgsR4yjHlw0PHbS0TVSG4m8KmfMq/93lVA63DPwzQaDQYPHoz58+fjww8/hCRJAIDly5cjJycHI0aMwJIlSzB27Fg4OztjzZo1GDRoEGrVqoXWrVvf8/pmsxlPP/00PDw8sGfPHqSmplqN1yjg5OSE+fPnw8/PD0ePHsXLL78MJycnvPvuu+jXrx/++ecfrFu3zrI0uIuLS6FrZGZmokePHmjTpg3279+PxMREjBgxAm+88YZVArVlyxb4+vpiy5YtOHv2LPr164fmzZvj5Zdfvmd9HgRbMGwlfxxGPc01ABzoSURUWQ0bNgwXL17E1q1bLWVz587F008/jZo1a+Kdd95B8+bNUatWLYwaNQrdu3fH8uXLS3XtjRs34sSJE1i4cCGaN2+ODh064NNPPy103Pvvv4+2bdsiODgYjz/+ON5++238+uuvAOR7jjg6OkKj0cDHxwc+Pj6wt7cvdI3FixcjKysLCxYsQOPGjfHYY4/hu+++w8KFC3Ht2jXLca6urvjuu+9Qv3599OnTB71798amTZvK+F0rO/6LbSsedQEAoZprgFGeqhrice9smoioyrAzyC0JSr12KdWvXx9t27bF3Llz0blzZ5w7dw7bt2/Hhg0bYDKZ8Nlnn2HZsmW4cuUKjEYjjEYjHBxK9/f8xIkTCAwMhL+/v6UsIiKi0HH//e9/MWPGDJw9exbp6enIy8uDs7NzqetQ8FrNmjWziq1du3Ywm804deoUvL29AQCNGjWCWq22HOPr64ujR4+W6bXuB1swbCW/BSNYigfAFgwiqoYkSe6mUGLL7+ooreHDh2PFihVITU3FvHnzEBQUhC5duuCrr77C9OnT8e6772Lz5s2IiYlB9+7dkZOTU6rriiLGgkh3xbZnzx688MIL6NmzJ/744w8cOnQIEyZMKPVr3Plad1+7qNe0s7MrtM9sNpfpte4HEwxbca8NAPA1XYUEMxK52BYRUaX1/PPPQ61W45dffsF//vMfvPTSS5AkCdu3b8eTTz6JF198Ec2aNUOtWrVw5syZUl+3YcOGiI2NxdWrt1tydu/ebXXMzp07ERQUhAkTJiA8PBx169YtNKtFq9XCZDLd87ViYmKQkZFhdW2VSoV69eqVOubywgTDVlwCAZUdtCIHfkhmCwYRUSXm6OiIfv364b333sPVq1cxdOhQAECdOnUQHR2NXbt24cSJExg5ciQSEhJKfd2uXbsiNDQUgwcPxuHDh7F9+3ZMmDDB6pg6deogNjYWS5cuxblz5/DNN9/gt99+szomODgYFy5cQExMDJKSkmA0Fv5MGThwIPR6PYYMGYJ//vkHW7ZswahRozBo0CBL94iSmGDYiloDuIUAAEJUCWzBICKq5IYPH46bN2+ia9euCAwMBAB88MEHaNmyJbp3745OnTrBx8cHffv2LfU1VSoVfvvtNxiNRrRq1QojRozAJ598YnXMk08+ibfeegtvvPEGmjdvjl27duGDDz6wOuaZZ55Bjx490LlzZ3h6ehY5VdZgMGD9+vW4ceMGHnnkETz77LPo0qULvvvuu7J/M8qBJIrqMKrCUlNT4eLigpSUlDIPqLmnJf2BU2vxQe5QnA3qjyWvtLHt9YmIKpHs7GxcuHABISEh0Ov1SodDNlLSz7Usn6FswbCl/HEYtaR4LhdORETVGhMMW8qfSRIiJXC5cCIiqtYUTzBmzpxpaYYJCwvD9u3biz1269atlmVT79xOnjxZgRGXwJJgxCPNmIesnJJHABMREVVViiYYy5Ytw+jRozFhwgQcOnQI7du3R8+ePREbG1vieadOnUJ8fLxlq1u3bgVFfA/5CYa/dB1a5LKbhIiIqi1FE4xp06Zh+PDhGDFiBBo0aIAZM2YgICAAs2bNKvE8Ly8vy/KpPj4+ViuUKcrRG9A6Qi0JBEiJuMZuEiKqBqrZXIEqz1Y/T8USjJycHBw4cACRkZFW5ZGRkdi1a1eJ57Zo0QK+vr7o0qULtmzZUuKxRqMRqampVlu5kSQO9CSiaqPgn7uyrkBJlVvBz/NB/3lX7F4kSUlJMJlMhRYD8fb2LnZRE19fX8yePRthYWEwGo1YuHAhunTpgq1bt6JDhw5FnjN16lRMnjzZ5vEXy70uEH8YIVI8WzCIqErTaDQwGAy4fv067OzsoFIpPqyPHpDZbMb169dhMBig0TxYiqD4zc7uXke9pLXVQ0NDERoaankeERGBuLg4fPnll8UmGOPHj8eYMWMsz1NTUxEQEGCDyItxx0ySi2zBIKIqTJIk+Pr64sKFC4WWuqaHl0qlQmBgYLGfxaWlWILh4eEBtVpdqLUiMTGxTEuctmnTBosWLSp2v06ng06nu+84yyw/wailisd+tmAQURWn1WpRt25ddpNUIVqt1iatUYolGFqtFmFhYYiOjsZTTz1lKY+OjsaTTz5Z6uscOnQIvr6+5RHi/bljDMY1tmAQUTWgUqm4kicVomgXyZgxYzBo0CCEh4cjIiICs2fPRmxsLKKiogDI3RtXrlzBggULAAAzZsxAcHAwGjVqhJycHCxatAgrVqzAihUrlKyGtfwEw1NKQXrKDYWDISIiUoaiCUa/fv2QnJyMjz76CPHx8WjcuDHWrl2LoKAgAEB8fLzVmhg5OTl45513cOXKFdjb26NRo0ZYs2YNevXqpVQVCtO7IM/eE5qs67BPu6h0NERERIrgzc7KQd6c7tBc3oN/5byOzyd/DL1dJVmng4iI6AHwZmcKU3vKK4vWUsXzniRERFQtMcEoB9KdNz3jQE8iIqqGmGCUhztuepaYxhYMIiKqfphglIc7WjCupWQpHAwREVHFY4JRHtxCYIYKTlIWMm7EKx0NERFRhWOCUR40OqTp8xf/Sj6rbCxEREQKYIJRTrKcQgAA+tQLCkdCRERU8ZhglBOTm7yip3PGRWUDISIiUgATjHKiyV8LwzMnTuFIiIiIKh4TjHLi4CffVj7AfBXGPJPC0RAREVUsJhjlxMFXTjACpWtIvJWhcDREREQViwlGOZFcAmCEHbSSCbfizysdDhERUYViglFeVCokqP0AANkJpxQOhoiIqGIxwShHyfpAAIBI4loYRERUvTDBKEfpjvJaGNobbMEgIqLqhQlGOTJ5NwUAuKYcUzgSIiKiisUEoxw5134EAOCXcxHI411ViYio+mCCUY6Ca9XHLeEAO+Qh6/JRpcMhIiKqMEwwypG7kx6nVPKS4Uln9ikcDRERUcVhglHOEh0bAABy4g4oHAkREVHFYYJRzrI9mwAA7JP+UTgSIiKiisMEo5wZgsIAAJ6Z54C8HIWjISIiqhhMMMpZzZAGSBEG2CEXuH5C6XCIiIgqBBOMclbPxwn/mOUFt9Iv/K1wNERERBWDCUY5M2g1uKSrCwBIv8gEg4iIqgcmGBUgzbUxAECdcFjhSIiIiCoGE4wKoK7ZAgBQI+0MYMpVOBoiIqLyxwSjAngF10eqsIedyAGun1Q6HCIionLHBKMC1Pd1wbH8gZ7i6iGFoyEiIip/TDAqQIiHA45BTjAyLnJFTyIiqvqYYFQAO7UKSU7ykuGmKzHKBkNERFQBmGBUkFzvZgAAw80TgClP4WiIiIjKFxOMCuIWUB9pwh52ZiOQdErpcIiIiMoVE4wKEurjguMiSH5yNUbRWIiIiMobE4wKEurjhKP5M0lMnElCRERVHBOMClKzhj1Oq2oDAHLimGAQEVHVxgSjgqhUEjLcmwAA7K4fA8wmhSMiIiIqP0wwKpBzzVBkCB00piwg6bTS4RAREZUbJhgVqK5PDRwTwfITDvQkIqIqTPEEY+bMmQgJCYFer0dYWBi2b99eqvN27twJjUaD5s2bl2+ANlTfxwn/5A/0RHyMorEQERGVJ0UTjGXLlmH06NGYMGECDh06hPbt26Nnz56IjY0t8byUlBQMHjwYXbp0qaBIbaPenTNJuKInERFVYYomGNOmTcPw4cMxYsQINGjQADNmzEBAQABmzZpV4nkjR47EgAEDEBERUUGR2oaHow6X7evJTxKOcKAnERFVWYolGDk5OThw4AAiIyOtyiMjI7Fr165iz5s3bx7OnTuHiRMnlup1jEYjUlNTrTYlab1DkSl0UOdlAslnFY2FiIiovCiWYCQlJcFkMsHb29uq3NvbGwkJCUWec+bMGYwbNw6LFy+GRqMp1etMnToVLi4uli0gIOCBY38Q9XxrcEVPIiKq8hQf5ClJktVzIUShMgAwmUwYMGAAJk+ejHr16pX6+uPHj0dKSopli4uLe+CYH0So9+1xGLi8X9FYiIiIykvpmgHKgYeHB9RqdaHWisTExEKtGgCQlpaGv//+G4cOHcIbb7wBADCbzRBCQKPRYMOGDXjssccKnafT6aDT6cqnEvch1McJs8318RLWA7G7lQ6HiIioXCjWgqHVahEWFobo6Gir8ujoaLRt27bQ8c7Ozjh69ChiYmIsW1RUFEJDQxETE4PWrVtXVOgPpK63E/ab6wMAxLVjQOYNhSMiIiKyPcVaMABgzJgxGDRoEMLDwxEREYHZs2cjNjYWUVFRAOTujStXrmDBggVQqVRo3Lix1fleXl7Q6/WFyiszR50GelcfnMvwRW1VPBC3FwjtqXRYRERENqVogtGvXz8kJyfjo48+Qnx8PBo3boy1a9ciKEgeBBkfH3/PNTEeRvV9nLD3TH05wbi0kwkGERFVOZIQQigdREVKTU2Fi4sLUlJS4OzsrEgM06JPI3bLPMzQzgRqhgEvb1YkDiIiorIoy2eo4rNIqqOwIFfsyx+HgasxgDFd0XiIiIhsjQmGAloE1kC85IHLwgMQJk5XJSKiKocJhgKc9XYI9Xa63YpxqfiVS4mIiB5GTDAU0vLObhImGEREVMUwwVBI+J0JxuX9QJ5R2YCIiIhsiAmGQsKCXHFe+CJJuAAmI3DloNIhERER2QwTDIUEuhng4ajHXnOoXHBpp7IBERER2RATDIVIkoSwoBrYZ24gF3AcBhERVSFMMBRktR5G3D7AlKdsQERERDbCBENBYUFuOCUCkAoHICcNuHZU6ZCIiIhsggmGghrXdIZGo8E+Uz25gN0kRERURTDBUJBOo0bTmi6W27czwSAioqqCCYbCwu5ecMtsVjYgIiIiG2CCobCWQa74R4QgGzog6waQdErpkIiIiB4YEwyFhQW5Ihca/G2qIxdwPQwiIqoCmGAozMNRh2B3wx3rYexWNiAiIiIbYIJRCYQFuWGfuGMchhDKBkRERPSAmGBUAmFBrjhkroM8aIC0q8DNi0qHRERE9ECYYFQCYUGuMEKLw6K2XHBxh7IBERERPSAmGJVAXS9HOOk12GFqKBec3ahsQERERA+ICUYloFJJaBnois2mFnLBuc1AXo6yQRERET0AJhiVRHiQK46IWkhVuwLGVCCWs0mIiOjhxQSjkggLcoWACtuR34pxer2yARERET0AJhiVRLOAGlCrJPye1VQuOMMEg4iIHl5MMCoJB50GDXydsMPcGGbJDkg+CySdVTosIiKi+8IEoxJ5JNgN6TDgnEMzuYCtGERE9JBiglGJdKjrCQBYa8zvJjm9TsFoiIiI7h8TjEqkdS032KklrExvLBdc2gVkpygbFBER0X1gglGJGLQahAe54ZLwQYpDMGDOA85tUTosIiKiMmOCUcl0qCd3k+xRPyIXcLoqERE9hJhgVDLt63oAAJbeyr+76pkNgNmkYERERERlxwSjkmno6wx3By2259RFnp0jkJkEXDmodFhERERlwgSjklGpJLSv64E8aHDWuY1cyNkkRET0kGGCUQm1t0xX5XoYRET0cCpTgvH5558jKyvL8vyvv/6C0Wi0PE9LS8Nrr71mu+iqqYJxGIuT60JAAhKOAilXFI6KiIio9MqUYIwfPx5paWmW53369MGVK7c/+DIzM/Hjjz/aLrpqystZj/o+TkgWzrjpxlYMIiJ6+JQpwRBClPicbMcyXVXD6apERPTw4RiMSqpg2fDFN/Knq57fBuRmlXAGERFR5aF4gjFz5kyEhIRAr9cjLCwM27dvL/bYHTt2oF27dnB3d4e9vT3q16+P6dOnV2C0FSc82BV6OxV2pvsg18EXyMuSkwwiIqKHgKasJ8yZMweOjo4AgLy8PMyfPx8eHvKgxDvHZ5TGsmXLMHr0aMycORPt2rXDjz/+iJ49e+L48eMIDAwsdLyDgwPeeOMNNG3aFA4ODtixYwdGjhwJBwcHvPLKK2WtSqWmt1OjdYg7tp2+jtOuHdAoYxlw7DcgtIfSoREREd2TJMowkCI4OBiSJN3zuAsXLpTqeq1bt0bLli0xa9YsS1mDBg3Qt29fTJ06tVTXePrpp+Hg4ICFCxeW6vjU1FS4uLggJSUFzs7OpTpHKXO2n8eUNScwLCgRH14bDWgdgXfOAFqD0qEREVE1VJbP0DK1YFy8ePFB4rKSk5ODAwcOYNy4cVblkZGR2LVrV6mucejQIezatQtTpkwp9hij0Wg1lTY1NfX+AlZAh3qewJoTWHzFG++7B0KVEgucWgs0eVbp0IiIiEqk2BiMpKQkmEwmeHt7W5V7e3sjISGhxHP9/f2h0+kQHh6O119/HSNGjCj22KlTp8LFxcWyBQQE2CT+ilDXyxE+znoY8wQu+/eWC4/+V9mgiIiISqFMCcbevXvx559/WpUtWLAAISEh8PLywiuvvGLVWlAad3e5CCHu2Q2zfft2/P333/jhhx8wY8YMLFmypNhjx48fj5SUFMsWFxdXpviUJEmSZdGtdaoOcuHZaCDzhoJRERER3VuZEoxJkybhyJEjludHjx7F8OHD0bVrV4wbNw6///57qcdOeHh4QK1WF2qtSExMLNSqcbeQkBA0adIEL7/8Mt566y1MmjSp2GN1Oh2cnZ2ttodJwXoYK+McAZ8mgDlPHuxJRERUiZUpwYiJiUGXLl0sz5cuXYrWrVvjp59+wpgxY/DNN9/g119/LdW1tFotwsLCEB0dbVUeHR2Ntm3bljomIUSZW00eJu3qeECSgJMJaUir97RcyG4SIiKq5Mo0yPPmzZtWrQvbtm1Djx63p00+8sgjZeqCGDNmDAYNGoTw8HBERERg9uzZiI2NRVRUFAC5e+PKlStYsGABAOD7779HYGAg6teXF5/asWMHvvzyS4waNaos1XiouDlo0aSmC45cTsFWTXs8DgmI3QXcigVqFJ7KS0REVBmUKcHw9vbGhQsXEBAQgJycHBw8eBCTJ0+27E9LS4OdnV2pr9evXz8kJyfjo48+Qnx8PBo3boy1a9ciKCgIABAfH4/Y2FjL8WazGePHj8eFCxeg0WhQu3ZtfPbZZxg5cmRZqvHQ6drAG0cup2DlOYHHgx8FLm6XWzHaj1E6NCIioiKVaR2MkSNH4ujRo/j3v/+NVatW4T//+Q+uXr0KrVYLAFi8eDFmzJiB/fv3l1vAD+phWgejwNnEdHSdtg0alYQjjyfAsP4twKsR8FrppvMSERHZQlk+Q8s0BmPKlClQq9Xo2LEjfvrpJ8yePduSXADA3LlzERkZeX9RU7HqeDmivo8T8swC60UrQK0FEo8B144pHRoREVGRytRF4unpie3btyMlJQWOjo5Qq9VW+5cvXw4nJyebBkiy3k18cTIhDatOZuKpupHAyT+AI78C3Sbf+2QiIqIKVqYEY9iwYaU6bu7cufcVDBWvV1NffBV9GjvPJiHjuafgcPIP4J8VQJeJgErxe9YRERFZKVOCMX/+fAQFBaFFixYow9ANsoHano5o4OuME/GpWGdshme0TkBKHBC3Bwgq/bReIiKiilCmBCMqKgpLly7F+fPnMWzYMLz44otwc3Mrr9joLr2b+OBEfCr+d/wmnmn4BBCzWO4mYYJBRESVTJna1mfOnIn4+HiMHTsWv//+OwICAvD8889j/fr1bNGoAL2a+AIAdp5NQlrdp+TC46uAvBzlgiIiIipCmTvvdTod+vfvj+joaBw/fhyNGjXCa6+9hqCgIKSnp5dHjJSvlqcjGvo6w2QWWJteB3D0BrJuAmc2KB0aERGRlQcaHShJEiRJghACZrPZVjFRCXo3lVsx/vgnEWj2glz4988KRkRERFRYmRMMo9GIJUuWoFu3bggNDcXRo0fx3XffITY2Fo6OjuURI92hd343ya5zybjVcBAACTi3GUg6q2xgREREdyhTgvHaa6/B19cX//73v9GnTx9cvnwZy5cvR69evaDiVMkKEezhgEZ+cjfJn1d0QN38hc3YikFERJVImZYKV6lUCAwMRIsWLSBJUrHHrVy50ibBlYeHcanwu83cehafrzuFR+t4YFHHVGDxs4DOBXj7BKB1UDo8IiKqosryGVqmaaqDBw8uMbGgitG7iS8+X3cKu84lIbnfY3B3DQFuXgCOLgfChiodHhERUdkX2iLlBbk7oElNFxy9koJ1xxMx8JHhwIb3gf1zgJZDACaBRESkMA6ceEgVrImx9mg80HwgoNEDCUeBuH0KR0ZERMQE46FVMJtk97lkJJkdgMbPyjv2/6RgVERERDImGA+pQHcDmvq7wCyAVYeuAK1GyDuOrQLSExWNjYiIiAnGQ+z58AAAwOK9sTD7NAdqhgPmXODgf5QNjIiIqj0mGA+xvi1qwlGnwYWkDOw8lwS0elne8fc8wJSnbHBERFStMcF4iDnqNHimZU0AwILdl4CGfQGDO5B6BTj9p7LBERFRtcYE4yH3YpsgAMCmE9dwJUMALQfLO/ZxsCcRESmHCcZDrq63EyJqucMsgF/2XgLChwGSCriwDbh+SunwiIiommKCUQUMjpBbMZbtj4PRsSYQ2kvesWO6glEREVF1xgSjCuja0Bvezjokpedg3T8JQPsx8o4jvwI3LigbHBERVUtMMKoAO7UKA1rJrRgLd18CaoYBtbsAwsRWDCIiUgQTjCqif6sAaFQS/r50E8evpgId35V3xPwC3IpTNjgiIqp2mGBUEV7OenRv7AMAWLjnEhDYBghuLy+8tfNrhaMjIqLqhglGFTIof8rqqkNXkJKVe7sV4+ACIC1BwciIiKi6YYJRhbQOcUM9b0dk5Zqw4sBluQUjoDVgMgK7vlU6PCIiqkaYYFQhkiRhUEQwAGDRnksQANAhvxXj77lARpJSoRERUTXDBKOKeSr//iTnkzLw15kkoE4XwK8FkJsJ7P5O6fCIiKiaYIJRxTjqNHgu3B8A8MPWc4Ak3W7F2PcTkHlDweiIiKi6YIJRBY1oXwsalYTd55NxKPYmENoT8G4C5KQDe39UOjwiIqoGmGBUQTVr2KNvC/kuqzMtrRjvyDv3zgKyUxSMjoiIqgMmGFVUVMfakCQg+vg1nL6WBjR4AvCsLycXmz5SOjwiIqrimGBUUXW8HNG9obzw1g9bzwEqFdDrC3nn/jlA7B4FoyMioqqOCUYV9lrn2gCA/x2+irgbmUBIB6DFIHnn6lFAnlHB6IiIqCpjglGFNfWvgUfreMBkFpiz/bxcGPkx4OAFJJ0Gtn+lbIBERFRlMcGo4l7rJLdiLN0fh6R0I2DverurZPs04NpxBaMjIqKqSvEEY+bMmQgJCYFer0dYWBi2b99e7LErV65Et27d4OnpCWdnZ0RERGD9+vUVGO3DJ6K2O5r5u8CYZ8a8nRfkwoZPAqG95RuhrR4FmE3KBklERFWOognGsmXLMHr0aEyYMAGHDh1C+/bt0bNnT8TGxhZ5/F9//YVu3bph7dq1OHDgADp37ozHH38chw4dquDIHx6SJOHVTnUAAAt2X0Jadq48bbX3l4DOGbjytzzok4iIyIYkIYRQ6sVbt26Nli1bYtasWZayBg0aoG/fvpg6dWqprtGoUSP069cPH374YamOT01NhYuLC1JSUuDs7HxfcT9szGaByBl/4WxiOsb2qI9X87tNsH8OsOZtwM4BeH0vUCNA2UCJiKhSK8tnqGItGDk5OThw4AAiIyOtyiMjI7Fr165SXcNsNiMtLQ1ubm7FHmM0GpGammq1VTcqlYSojnJS8fOOC8jOze8SCRsGBLQBcjOANWMA5XJNIiKqYhRLMJKSkmAymeDt7W1V7u3tjYSEhFJd46uvvkJGRgaef/75Yo+ZOnUqXFxcLFtAQPX8L/3J5n6oWcMeSelGLNpzSS5UqYAnvgHUWuDMBuCfFcoGSUREVYbigzwlSbJ6LoQoVFaUJUuWYNKkSVi2bBm8vLyKPW78+PFISUmxbHFxcQ8c88PITq3Cm13qAgC+23IWKVm58g7PUKDD/8lf//kukJGsUIRERFSVKJZgeHh4QK1WF2qtSExMLNSqcbdly5Zh+PDh+PXXX9G1a9cSj9XpdHB2drbaqqunW9ZEXS9H3MrMxQ/bzt3e0W404NUQyEwG1o9XLD4iIqo6FEswtFotwsLCEB0dbVUeHR2Ntm3bFnvekiVLMHToUPzyyy/o3bt3eYdZpWjUKoztUR8AMHfHBcSnZOXv0AJPfAtAAo4sA85sVC5IIiKqEhTtIhkzZgzmzJmDuXPn4sSJE3jrrbcQGxuLqKgoAHL3xuDBgy3HL1myBIMHD8ZXX32FNm3aICEhAQkJCUhJ4d1BS6tLAy88EuwKY54ZM6LP3N7hHw60eVX++o/RgDFdkfiIiKhqUDTB6NevH2bMmIGPPvoIzZs3x19//YW1a9ciKCgIABAfH2+1JsaPP/6IvLw8vP766/D19bVsb775plJVeOhIkoRxPRsAAJYfiMOZa2m3dz72PlAjEEiJAzZ/rFCERERUFSi6DoYSquM6GEWJWngA644loGsDL8wZ8sjtHWc3AYueBiABwzcAAa0Ui5GIiCqXh2IdDFLW//UIhVolYeOJROy7cOP2jjpdgGYDAAjecZWIiO4bE4xqqranI/o9Iq8JMvXPE7BqyOr+CWDwAK6flG+IRkREVEZMMKqx0V3qwt5OjUOxt7D+2LXbOwxuQK/P5a+3fwVcOaBMgERE9NBiglGNeTnrMaJ9CADg8/UnkWsy397Z6GmgwePyHVd/HQJk3ijmKkRERIUxwajmXulQC24OWpy/noGZW+5YfEuSgCe/B9xqybNKVozgbd2JiKjUmGBUc056O0x8vCEA4NvNZ3Dk8q3bO/UuwPMLAY09cG4T8NcXygRJREQPHSYYhCea+aF3U1/kmQXG/Hr49t1WAcCnMfD4DPnrrZ9xlU8iIioVJhgESZIw5cnG8HTS4WxiOr5Yf8r6gGYvAOHDAAhg5Qjg5iVF4iQioocHEwwCALg6aPH5M00BAHN3XsDuc3fdVbXHZ4BfCyDrJvDrYCA3W4EoiYjoYcGVPMnK+JVHsGRfHGrWsMe60e3hpLe7vfNWLPBjBznJqNcTCGwtj8/Q6AC7/EfvxoBHXeUqQERE5aYsn6FMMMhKujEPPb/+C3E3svB8uD8+f7aZ9QFnNgKLnwVQzNtGYw+8sR+oEVDusRIRUcXiUuF03xx1Gnz1XHNIEvDr35cRffya9QF1uwIDl8tjMpoPlNfLCO0F1H4McK4J5GUB2/6tTPBERFRpsAWDijR17Qn8+Nd5eDhqsfbN9vBy0t/7pNi9wNxIQFIDr+8DPOqUf6BERFRh2IJBD+ytbvVQ38cJSek5eGtZDEzmUuShga2Bej0AYQK2flr+QRIRUaXFBIOKpLdT47sBLWDQqrHzbDK+23y2dCc+9r78+M8KIOFo+QVIRESVGhMMKlYdLyd88lRjAMCMTaex62zSvU/yaQI0fkb+evOUcoyOiIgqMyYYVKKnWvijX3gAhAD+tTQGiWmlWP+i03vyOIzT64C4feUfJBERVTpMMOieJj3RCKHeTkhKN2L00lKMx/CoAzQfIH+96SOgeo0jJiIiMMGgUrDXqvH9wJYwaNXYdS4Z32w6c++TOo4F1Frg4nbg/NZyj5GIiCoXJhhUKnW8HC3jMb7ZfAY77zUeo0YAED5c/pqtGERE1Q4TDCq1p1r444VH5PEYo5YcwqHYmyWf0H4MYOcAXD0InFpbMUESEVGlwASDymTSE43QuKYzbmTkoN+Pe/DfA5eLP9jRC2gTJX+9cRKQnVIhMRIRkfKYYFCZ6O3UWPpKBLo19EaOyYx3lh/GR78fR57JXPQJbf8FGDyApNPAgr7yjdKIiKjKY4JBZeao0+DHF8Pwr8fkpcDn7ryAofP241ZmTuGD7WsAg1cB9m5yV8mCJ4HMGxUaLxERVTwmGHRfVCoJYyJDMXNgS9jbqbHjbBKe+G4njl9NLXywTxNg6B9yS0b8YWDBE0BGcsUHTUREFYY3O6MHdiI+FS8v+BuXb2YBAGp7OqBdHQ+0q+OBNrXc4WJvJx+YeAL4z+NAxnXAqxEwZDXg4KFg5EREVBZl+QxlgkE2cSMjB+/+9zA2n0zEnetwqSSgqX8NDGwdiOfCA4Drp+QkI/0a4NlATjIcvZQLnIiISo0JRgmYYJSvlKxc7DmfjJ1nk7DjbBLOX8+w7Pvl5dZoW9sDSDojJxlp8YBbbeCFXwCv+gpGTUREpcEEowRMMCrW1VtZ+HzdSayKuYrang74880O0GpUQPI5ecBnSpy8Vkbf74FGTykdLhERlaAsn6Ec5Enlyq+GPSY/2Rgejlqcu56BOTvOyzvcawMvbwGC2wO5GcDyocCG9wFTnqLxEhGRbTDBoHLnYm+HCb0bAAC+2XQGcTcy5R2OnsCgVfJaGQCw61tgYV8g/boicRIRke0wwaAK0bd5TbQOcUN2rhmTfz9+e4daA0R+DDz3H0DrKN8cbXZH3uadiOghxwSDKoQkSZjStzE0KgkbT1xD9PFr1gc06gu8vBlwrwukXgF+jgRWvQ6kXSvyekREVLkxwaAKU9fbCS93qAUAmLT6GDJz7hpv4RkqJxnN+gMQQMwi4NswYMcMIM9Y4fESEdH9Y4JBFWrUY3VQs4Y9rtzKwnebzxY+QO8MPPUDMDwa8GsJ5KQBGycC37cGTq7hbd+JiB4STDCoQhm0Gkx8vCEA4Kft53E2Ma3oAwNaASM2AX1/ABx9gJsXgKUDgMXPAWkJFRgxERHdDyYYVOG6NfRGl/peyDUJjFtxFNm5pqIPVKmA5v2BUQeA9m8Dah1wNhqY1RY4ubZigyYiojJhgkEVTpIkTHqiEQxaNf6+dBND5u5DurGE9S90jkCXD4GRfwHeTYDMZGBpf+CPt4CczIoLnIiISo0JBikiwM2AeUMfgaNOg70XbmDgnL1F3+79Tl71gZc3ARFvyM//nitPaY0/XP4BExFRmSieYMycORMhISHQ6/UICwvD9u3biz02Pj4eAwYMQGhoKFQqFUaPHl1xgZLNta7ljl9ebg1Xgx0Ox91Cvx/3IDEtu+STNDqg+yfAoN/ksRlJp4GfugC/9AP+O0ye2rrmbWD9BGDLVOD66YqpDBERWVE0wVi2bBlGjx6NCRMm4NChQ2jfvj169uyJ2NjYIo83Go3w9PTEhAkT0KxZswqOlspDU/8aWDYyAl5OOpy6lobnf9iNyzdL0e1R+zHg1V1A/T6AORc4vQ74Z4U8tXX/HGD3d8C2z4A5XYHEk+VfESIisqLozc5at26Nli1bYtasWZayBg0aoG/fvpg6dWqJ53bq1AnNmzfHjBkzyvSavNlZ5XQpOQMD5+zF5ZtZ8HPRY9GI1qjl6XjvE4UAzm8Bbl4EcrOBvKzbj+e3AQlHAJdAYMRGwMm73OtBRFSVleUzVFNBMRWSk5ODAwcOYNy4cVblkZGR2LVrl81ex2g0wmi8vUhTamqqza5NthPk7oDlURF4cc5enLuegb7f78TUp5uid1Pfkk+UJLk1oygZycDP3YAb54BfngdeWgtoHWwfPBERFaJYF0lSUhJMJhO8va3/q/T29kZCgu3WOZg6dSpcXFwsW0BAgM2uTbbl62KPX0dGoHlADaRm5+H1Xw7i/5YfRkZJM0xK4uAODFwO2LsB8THAf4cD5mKmxBIRkU0pPshTkiSr50KIQmUPYvz48UhJSbFscXFxNrs22Z67ow7LoyLweufakCRg+YHL6P3NdhyOu3WfF6wN9F8qr6Fx+k9g3TiuBkpEVAEUSzA8PDygVqsLtVYkJiYWatV4EDqdDs7OzlYbVW52ahX+r3t9LHm5DXxd9LiYnIlnZu3CzK1nYTLfR3IQ2Bp4erb89b7ZwJ6Ztg2YiIgKUSzB0Gq1CAsLQ3R0tFV5dHQ02rZtq1BUVJm0qeWOdW92QO8mvsgzC3y+7hSe/WEX9l24UfaLNeoLdPtY/nr9BGDfT4DpPrteiIjonhTtIhkzZgzmzJmDuXPn4sSJE3jrrbcQGxuLqKgoAHL3xuDBg63OiYmJQUxMDNLT03H9+nXExMTg+PHjSoRPFcDFYIfvBrTA5882hUGrxqHYW3j+x90YNn8/TsSXccBu21HAIyMACGDtO8D3rYDDyzgug4ioHCg6TRWQF9r6/PPPER8fj8aNG2P69Ono0KEDAGDo0KG4ePEitm7dajm+qPEZQUFBuHjxYqlej9NUH16Jqdn4etMZLN0fB5NZQJKAvs1rYky3eghwM5TuImaT3EWyY7q85DgAeNQDOo4FGj0FqNTlVwEioodcWT5DFU8wKhoTjIffhaQMfLXhFP44Eg8AsFNLeLyZH55qURMRtdyhUZeiYc6YLo/H2PUNkHVTLvOsD7R/R0401IrN4CYiqrSYYJSACUbV8c+VFPx73UlsP5NkKfNw1KFPU1882dwPzQNq3HtGUnYqsPdHYPe3QHaKXOYSCES8DrQcxHUziIjuwASjBEwwqp4Dl27it0OXseZIPG5m5lrKA90MGP5oCF5sEwS16h6JRtYteeDn3h+AzPyExd4VeORloNUrgKNn+VWAiOghwQSjBEwwqq5ckxk7ziThfzFXsOH4NWTmyIM3m9R0wadPNUETf5dSXCQLOLwE2PUtcOO8XKbRA81eAFq/Kt/RlYiommKCUQImGNVDZk4eVhy4jC/Wn0Jqdh5UEjA4IhhvR9aDk97u3hcwm4CTfwA7vwauHLhdXvsxoM1rQO0ugErxdeqIiCoUE4wSMMGoXq6nGTFlzXH8L+YqAMDbWYeJjzdCz8Y+pVsxVgggdrc88+TkGkCY5XL3ukCbKKDpC4CuFDdlIyKqAphglIAJRvW0/cx1fLDqH1xMlm8F37GeJz7o0xB1vMqQHNy8KI/TOLgAMOavwaF1Apo+B4S9BPg2tX3gRESVCBOMEjDBqL6yc02YueUsZm07h1yTgEYlYXBEMN7sWhcu9qXoNilgTAMOLQb2/Xh7nAYA1AwDwoYCjZ/h7BMiqpKYYJSACQZdSMrAJ2uOY+OJRACAm4MW70SGot8jAfeebXInsxm4uB04MB848Ttgzp/BonUC6kUCdbsDdbrKd3UlIqoCmGCUgAkGFdh2+jo+/uM4ziamAwAa+DrjX4/VQZcG3tBqyjiAM/06ELNYTjZuXrhdLqkA/0eAupFAvR6AdyPAhncLJiKqSEwwSsAEg+6UazJj4e5LmL7xNNKy5ZufuRrs8GTzmng2zB+N/JxLNxi0gNkMXN4PnF4HnNkAXPvHer9rMNDgCaDhk3KXCpMNInqIMMEoARMMKkpyuhFzdlzAyoOXcS3VaCmv7+OEZ8P88UxLf7g6aMt+4VtxcqJxZgNwfiuQl317n3NNOdlo8DjgHw5odA9eESKicsQEowRMMKgkJrPA9jPX8d8Dl7Hh+DXk5MnTUu3t1Hgu3B/DHw1BkPt9DuDMyQDORAPH/ycnHDnpt/epdYBvMyCglZxs+LcCXGraoEZERLbDBKMETDCotFIyc/H7kav4ZW8sjuffGl6SgO4NffByh1oIC3K9/4vnZgPnNgMnVsvJRsGdXe/kXBMIbAMERsiPXg15t1ciUhQTjBIwwaCyEkJg97lkzN5+HltPXbeUtwysgRdaBaJ7I5+yTXMt/ALydNfL++Utbh9w7RggTNbH6VzkFo7A1nKy4VlfHtPBpIOIKggTjBIwwaAHcfpaGuZsP49Vh64ixyR3n2jVKnQK9cQTzf3Qpb437LU2+MDPyZCXKI/dI68kGrfPukulgFoHuNcBPEPlpKOgi4XrcBBROWCCUQImGGQLiWnZWLYvDqsPX8WZxNsf/AatGt0aeqN3E190qOcJvZ2NWhdMefKMlNg9cuJx/SSQdAbIyyp8rKSWVxUt6FoJjAAcvWwTBxFVa0wwSsAEg2xJCIFT19KwOuYqVh++iss3b3/gO+o06NLACz0b+6JTqA2TjQJmM5ASC1w/JScc8YflBCT1SuFj3WpbJxzutTlFlojKjAlGCZhgUHkRQuBQ3C38cTgef/4Tj/iU21NSDVo1Otf3Qvs6HmgV4oYQD4eyra9RFrfi5EQjbo/8eO0YgLt+zR085Zkq3g0BrwZy94p7HUB9x1gSIYCsm3LCknoVsHeVFw1jYkJUbTHBKAETDKoIZrNAzOVb+PNoPNYeTcCVW9ZdGR6OOrQOccMjwa5oFeKOUB+nsi1TXhZZt+QxHLG7b3exmIyFj1PZyUmGwR1Ii5eTiru7YEI6AN0+Bvyal0+sRFSpMcEoARMMqmhCCBy5nIKNJ65h74UbiIm7ZVlfo4BBq0aTmi5oHlgDLQJqoHmAK3xc9OUTUJ4RuHpI3hJP3N5y0oo+3uABOPvKXTGmHLmsyfPAY+8DrkHlEyMRVUpMMErABIOUlp1rwtErKdh34Qb2XriBAxdvICPHVOg4H2c96vs6IdTHCfV9nBDq7YzaXg7QacphWqoQQMplOdHITgGc/eTNyRewy090bl4CNk8Bjv4qP1drgdYjgUfHAAY328dERJUOE4wSMMGgysZkFjibmI7DcbdwKO4WYuJu4VRCKsxF/GaqVRKC3Q0IdndAoLsBQW4GBHk4IMjNAH9XQ9lv0nY/rh4CNnwg30kWACDJLRme9W9vXvUB1xBA78IxG0RVCBOMEjDBoIdBZk4ejl9NxcmENJzK304mpCI1/4ZsRbFTS2jo64wWga5oEVgDLQJcEeBmXz6DSYWQlz3fNLnwDd3upNbKA0oLNkcvwCVAvqusT2OgRjCgqoCkiIhsgglGCZhg0MNKCIFrqUacSUzDpeRMxN7IxKXkDFxKzsSl5Exk5RbuZvFw1KKRnwu8nXXwdNLBw/H2Y4CbATVr2D94YOnX5WmyBVviSeD6iaKXP7+bnYM8k8W7EeBeF6gRALj4y0mIgydbP4gqGSYYJWCCQVWREAKXb2YhJu4WDsbexKHYWzh2NQW5ppJ/vQPdDGhXxwOP1vFA29ru93fH2OLkZgEZ1+UtPf8xIxFIPg9cOyonIkXNZimg1snJRo0AoEYg4BIoPxY8N3jId6BlEkJUYZhglIAJBlUX2bkmHI9PxemENCSlG5GUnoPraUZcTzMiKd2I2BuZyLtjoIckAY38nFHfxxlZuSakZ+chw5iH9PzNQatBRG13tKvjgda13OCsf4D7rwDy6qQ3zsldLNeOATcuyANNUy7L02TvXrujKCo7QOeUvznLj3b2gEYvJx93ProGAz5N5K4ZvYv1dcwmID4GOL8NuLANuBoD1AwDIl4Haj/GJIYoHxOMEjDBIJKlG/Ow70IydpxJxo6z13H6WhH3OimGWiWhmb8LHq3jgTa13NE0oAYcdRrbBZeXA6RdlRcNS7kM3IrN3y4BKfll5uLHo9xTQbLhWV+eOXNxuzx7piieDYCI1+SpuXb3mDpsNgHpiXLsqfFA1g2568e3Ke8PQ1UCE4wSMMEgKlpiajZ2nE3C1VtZcNRp4Ki3g6NODUedHRx0alzL37/zbDIuJGVYnauSgHreTmgeUAMtAuV1POp4OZbf4mFmk3zzN2PaXVsqkJsN5GXL633kZctrd+Sky/duSTgqJyhF0bkAwY8CtTrJCcHx/wEHF9y+yZzBAwh/CXDwkhOHrJu3t8xkIC1B3u6+Cy4ASCo5UfFrAdRsAXg3lgfK5mYAOZlAbqZ8gzuzCXCpKSdANYIAnWP5fP+I7hMTjBIwwSB6cJdvZmLX2WTsOJuEA5duFlqpFJB7FWrY28HVQQs3g9by6OaovWOwqRaejvKg0xoGu/JbPv1OmTfkRCPhqDwo1TU4P6loDqjvaoXJTpGTjD0/AKmXS3d9SQ04+chriOid5RaStPj7i9XBU0403ELyl3RvJA+IdfEv326btAQgbq+c9Pi34r1ryIIJRgmYYBDZXmJqNg7F3cKh2FuIibuJI5dTkFnE4mElcdRpUMfLEfW8HVHXywl1vR1Rz9sJPs56qMqrJaS0THnAif8B/6wEVGrA3k2+N0vBZnDLTyr85Km4qrsWQ0uNz1899SBw5aDcmqK2A7QGeSaN1gDYGeQP8ZTLwM2LcstIcXQucsLhVkvuKsrLuqPlJlsem+LXAghoJW/OfsVfKy8HSDqVf/+affI9bG7FWh/j4AUERQCBbeVH78aF60jVAhOMEjDBICp/JrPAjYwc3MzMkR8zcnAjMwc30nOQnJGDpPTbg02T0nOQkpVb7LUkSU4+nPV2cLa3g7NeAye9HfR2KtipVVCrJNipJahVEjQqFVzs7eDlrINnfiuJl7MeHo7a8lkBtTxl3ZLHnNy8CCSfBa4dBxKPA0mnyz7+xNkfCHhEvqtuRqLcQpEaL7esZCYVPl5Sya0lOkc5Ibp7to9KI9+zxsHz9qODR/7mdXvNEwcP+WuzKf+meVeAlPyb56VekddJca8DeNSVH2sE3n/iIoT8OsIsd1MJ8+2kraIIIbf6aB2qbIsPE4wSMMEgqnyMeSbEJmfi9LV0nL6WhjOJaTh9LR0XkjJgKmpJ0/tQw2AHbyc9vJx18HLSw9tZBy8nHWoYtPljTjRw0mvgpLODo14DvZ0KOo26/MaR3K+8HDnJSDwujydR6+TBp5o7tpx04PJ+uZvj2jH5w7YkWifAPxwIbCO3eNQMl7t3AHksy5WDQOwu4NIuIHZv8feteVBqndwd4+Aht8KotXK3lVorP8/LlsfZZKcA2fmPxlQ5xqJmHdk5yK087rXkR7facneTNn9siyUJyH8UJsBslhO4gk2Y5MTFnHfHY548tif16u1BxwUDknMzAH0N+Q7FXvXlsTdeDeR65WTK43Uyk/Ifk+V6qDRyi5a6oM5aObbsFDnRzL51+zEnQ06c7AxyImNpBXOQE0KtU/6j4+0ZVu615ZY2G2CCUQImGEQPj1yTGbcyc5GanYvUrFykZuchLTsXqVl5MOaZkGcSyDML5JnMyDML+fisXCSmGnE93Yjrqdm4nm6853ogJVGrJOg0Kmg1Kug1atQw2FkWK/PIH0/i5qCFvVYNO7UKWrXcsmKnlqBRq5BrMiMnL3/L/9pkFvBw0sHPRQ8fFz2cHnTKb0mM6XLXTNxe+QPR0Ufuzim414yTr9zFU9r/uM0mIP0akJGUv7ZJ0u31Tqy+vi7PqClo/dDXAJxryoNYnf3kr3OzgOQzQNJZecpywc30yLaeXwA0fNImlyrLZ6gN55UREdmWnVoFTye5q+N+CSFwKzMXiWlGJKZl41qqEddSs3E9TX5My09a0ox5SM/OQ1p2ntWqqCazQGaOKX9MSS4SUrNxMsG2/8E76TTwcdHDw1EHsxDIMZktiUlBcuTvao8QDwcEuzvIjx4O8He1h536Hkut6xyBkA7yZgsq9e2b4d2LEPLsHkl17xkxZpM89iP5rPyfuylXTjjMufIYGFOO3Dqjd5bXPNG73P5ao5fjklTyplIDkOQuoBvn5S35nPx484Lc4mH531rcjlWlzt808mBdlca6rGCTVHJrg6NP/uqz+SvQ1giUW19uXry9om3B3YpvxcqtCQY3uVvJ4CE/6l3kVhJTzu16mnLkMp0LYF9DTs4KHrUGOTHLzZRbRHLSb89CMqbLrUvGtPyv0+VHe2VuRsgWDCKiu+SZ5NYGY+6djyZk55rlMSSW8SPyGJLkjBwYc03INckJQW7++XkmAY1agk6jhlajgk4tt4RIEnA9zYirt7JKvL9MaUgSoFFJUEkSNCp5LIpWo4JBq4GDTgNHnRoGrQaOOg0MWjXstWrY26mhs5Mf7e3kcSzGPDOyc+U6ZueakJ1ngjHXDGOeGcY8k/yYK38NAA46uUvJwfI6GrjY28HDSQt3h/wWHid55pBGrYLZLJCdZ0JWjgnZ+a8lBPLHzkh3PaqgUUuWlqCC2UVCCBjzzPkJX54l8XPQquHlrIezXlMxM5Huh9lcJe67wxYMIqIHoFGroFGrYLDhyunFyTDmISE1G/G3spGcYZQTBLUKdnckJHlmgdjkTJxPysDFpAxcTM7AhaQMGPPM8nIaJgFAwHooZuXobpAkwE6lQo7pHuNASlCQfOSZRYljcvR2qjvG1+hh0KqhUd+ZfMmJi1atgr1WDZ1GftRr1NDZqZBnklursnJNyMrJy3+Ukyq5Nel2N1euScDuzuQxvxtNq1ZBpZIgSYAE+VElASpJyh+QrLLUx06tgkoCsnPNhV43J88MnUYNvZ0K+vykUG+nhkYlITPHZFllV340ITvXBLMQEAIQEPLdmAVgFgJje9bHI8EV34rBBIOISEEOOg1qezqitmfJXQhtarlbPTebBVKyci0funlmc/6jQE6eGZk58gdPRv6HUIYxDxk5Jhhz8z/I8lsrsnJNMJmE/EFmJ3/o6vNbOCxf53+AFnxtFsi/3h0fctl5uJWVi6R0I5LT5ZlCNzJyYBYolFxo1Sro7FRQSRJM+fEX1KGo/MFURGKh06jkFhk7NdKNeUjNzkN2rhmxN+QbAdJtNzOUSTaZYBARPYRUKsm2N6crBwXTlXNNZujt1KWamWPOT5LyzHIrwZ0DeO3UclJh0GoKXSM714TEVCOupWXjWmo2ElONyM4zWa53O4mREzC5q8a6y0arlpOogsTFPr9LSaeRB+7e2UqhUausutIKupFy8sx3tCTg9tfidhy5Jrl+eWYBs1lAb3e766rgdbVqudUnK0dunShICvNMAgatGo66211TDjoN7LVywiZJElT5rScqSW5BahZQo3x/0MVQPMGYOXMmvvjiC8THx6NRo0aYMWMG2rdvX+zx27Ztw5gxY3Ds2DH4+fnh3XffRVRUVAVGTEREpaFWSWUeoKtSSdCqJGhRtvEKejs1At0NCHQ3lOk8Kj+KjjhZtmwZRo8ejQkTJuDQoUNo3749evbsidjY2CKPv3DhAnr16oX27dvj0KFDeO+99/Cvf/0LK1asqODIiYiIqCSKziJp3bo1WrZsiVmzZlnKGjRogL59+2Lq1KmFjh87dixWr16NEydOWMqioqJw+PBh7N69u1SvyVkkRERE96csn6GKtWDk5OTgwIEDiIyMtCqPjIzErl27ijxn9+7dhY7v3r07/v77b+TmFr3UsNFoRGpqqtVGRERE5UuxBCMpKQkmkwne3t5W5d7e3khISCjynISEhCKPz8vLQ1JSEevpA5g6dSpcXFwsW0BAgG0qQERERMVSfNWPuxdFEUKUuFBKUccXVV5g/PjxSElJsWxxcXEPGDERERHdi2KzSDw8PKBWqwu1ViQmJhZqpSjg4+NT5PEajQbu7u5FnqPT6aDT3f8yw0RERFR2irVgaLVahIWFITo62qo8Ojoabdu2LfKciIiIQsdv2LAB4eHhsLMrx5sFERERUZko2kUyZswYzJkzB3PnzsWJEyfw1ltvITY21rKuxfjx4zF48GDL8VFRUbh06RLGjBmDEydOYO7cufj555/xzjvvKFUFIiIiKoKiC23169cPycnJ+OijjxAfH4/GjRtj7dq1CAoKAgDEx8dbrYkREhKCtWvX4q233sL3338PPz8/fPPNN3jmmWeUqgIREREVgXdTJSIiolJ5KNbBICIioqpL8XuRVLSCBhsuuEVERFQ2BZ+dpen8qHYJRlpaGgBwwS0iIqL7lJaWBhcXlxKPqXZjMMxmM65evQonJ6cSF/Qqq9TUVAQEBCAuLq7Kj+2oTnUFqld9q1NdgepV3+pUV6B61bci6yqEQFpaGvz8/KBSlTzKotq1YKhUKvj7+5fb9Z2dnav8m7lAdaorUL3qW53qClSv+lanugLVq74VVdd7tVwU4CBPIiIisjkmGERERGRzTDBsRKfTYeLEidXivifVqa5A9apvdaorUL3qW53qClSv+lbWula7QZ5ERERU/tiCQURERDbHBIOIiIhsjgkGERER2RwTDCIiIrI5Jhg2MHPmTISEhECv1yMsLAzbt29XOiSb+Ouvv/D444/Dz88PkiRh1apVVvuFEJg0aRL8/Pxgb2+PTp064dixY8oE+4CmTp2KRx55BE5OTvDy8kLfvn1x6tQpq2OqSn1nzZqFpk2bWhbliYiIwJ9//mnZX1XqWZypU6dCkiSMHj3aUlZV6jxp0iRIkmS1+fj4WPZXlXre6cqVK3jxxRfh7u4Og8GA5s2b48CBA5b9VanOwcHBhX6+kiTh9ddfB1AJ6yrogSxdulTY2dmJn376SRw/fly8+eabwsHBQVy6dEnp0B7Y2rVrxYQJE8SKFSsEAPHbb79Z7f/ss8+Ek5OTWLFihTh69Kjo16+f8PX1FampqcoE/AC6d+8u5s2bJ/755x8RExMjevfuLQIDA0V6errlmKpS39WrV4s1a9aIU6dOiVOnTon33ntP2NnZiX/++UcIUXXqWZR9+/aJ4OBg0bRpU/Hmm29ayqtKnSdOnCgaNWok4uPjLVtiYqJlf1WpZ4EbN26IoKAgMXToULF3715x4cIFsXHjRnH27FnLMVWpzomJiVY/2+joaAFAbNmyRQhR+erKBOMBtWrVSkRFRVmV1a9fX4wbN06hiMrH3QmG2WwWPj4+4rPPPrOUZWdnCxcXF/HDDz8oEKFtJSYmCgBi27ZtQoiqX19XV1cxZ86cKl3PtLQ0UbduXREdHS06duxoSTCqUp0nTpwomjVrVuS+qlTPAmPHjhWPPvposfurYp3v9Oabb4ratWsLs9lcKevKLpIHkJOTgwMHDiAyMtKqPDIyErt27VIoqopx4cIFJCQkWNVdp9OhY8eOVaLuKSkpAAA3NzcAVbe+JpMJS5cuRUZGBiIiIqpsPQHg9ddfR+/evdG1a1er8qpW5zNnzsDPzw8hISF44YUXcP78eQBVr54AsHr1aoSHh+O5556Dl5cXWrRogZ9++smyvyrWuUBOTg4WLVqEYcOGQZKkSllXJhgPICkpCSaTCd7e3lbl3t7eSEhIUCiqilFQv6pYdyEExowZg0cffRSNGzcGUPXqe/ToUTg6OkKn0yEqKgq//fYbGjZsWOXqWWDp0qU4cOAApk6dWmhfVapz69atsWDBAqxfvx4//fQTEhIS0LZtWyQnJ1epehY4f/48Zs2ahbp162L9+vWIiorCv/71LyxYsABA1frZ3m3VqlW4desWhg4dCqBy1rXa3U21PNx923chhE1vBV+ZVcW6v/HGGzhy5Ah27NhRaF9VqW9oaChiYmJw69YtrFixAkOGDMG2bdss+6tKPQEgLi4Ob775JjZs2AC9Xl/scVWhzj179rR83aRJE0RERKB27dr4z3/+gzZt2gCoGvUsYDabER4ejk8//RQA0KJFCxw7dgyzZs3C4MGDLcdVpToX+Pnnn9GzZ0/4+flZlVemurIF4wF4eHhArVYXyg4TExMLZZFVTcHI9KpW91GjRmH16tXYsmUL/P39LeVVrb5arRZ16tRBeHg4pk6dimbNmuHrr7+ucvUEgAMHDiAxMRFhYWHQaDTQaDTYtm0bvvnmG2g0Gku9qlKdCzg4OKBJkyY4c+ZMlfzZ+vr6omHDhlZlDRo0QGxsLICq93tb4NKlS9i4cSNGjBhhKauMdWWC8QC0Wi3CwsIQHR1tVR4dHY22bdsqFFXFCAkJgY+Pj1Xdc3JysG3btoey7kIIvPHGG1i5ciU2b96MkJAQq/1Vrb53E0LAaDRWyXp26dIFR48eRUxMjGULDw/HwIEDERMTg1q1alW5OhcwGo04ceIEfH19q+TPtl27doWmk58+fRpBQUEAqu7v7bx58+Dl5YXevXtbyiplXRUZWlqFFExT/fnnn8Xx48fF6NGjhYODg7h48aLSoT2wtLQ0cejQIXHo0CEBQEybNk0cOnTIMgX3s88+Ey4uLmLlypXi6NGjon///g/t9K9XX31VuLi4iK1bt1pNA8vMzLQcU1XqO378ePHXX3+JCxcuiCNHjoj33ntPqFQqsWHDBiFE1alnSe6cRSJE1anz22+/LbZu3SrOnz8v9uzZI/r06SOcnJwsf4+qSj0L7Nu3T2g0GvHJJ5+IM2fOiMWLFwuDwSAWLVpkOaaq1dlkMonAwEAxduzYQvsqW12ZYNjA999/L4KCgoRWqxUtW7a0TG182G3ZskUAKLQNGTJECCFPAZs4caLw8fEROp1OdOjQQRw9elTZoO9TUfUEIObNm2c5pqrUd9iwYZb3q6enp+jSpYsluRCi6tSzJHcnGFWlzgXrHtjZ2Qk/Pz/x9NNPi2PHjln2V5V63un3338XjRs3FjqdTtSvX1/Mnj3ban9Vq/P69esFAHHq1KlC+ypbXXm7diIiIrI5jsEgIiIim2OCQURERDbHBIOIiIhsjgkGERER2RwTDCIiIrI5JhhERERkc0wwiIiIyOaYYBAREZHNMcEgooeSJElYtWqV0mEQUTGYYBBRmQ0dOhSSJBXaevTooXRoRFRJaJQOgIgeTj169MC8efOsynQ6nULREFFlwxYMIrovOp0OPj4+VpurqysAufti1qxZ6NmzJ+zt7RESEoLly5dbnX/06FE89thjsLe3h7u7O1555RWkp6dbHTN37lw0atQIOp0Ovr6+eOONN6z2JyUl4amnnoLBYEDdunWxevVqy76bN29i4MCB8PT0hL29PerWrVsoISKi8sMEg4jKxQcffIBnnnkGhw8fxosvvoj+/fvjxIkTAIDMzEz06NEDrq6u2L9/P5YvX46NGzdaJRCzZs3C66+/jldeeQVHjx7F6tWrUadOHavXmDx5Mp5//nkcOXIEvXr1wsCBA3Hjxg3L6x8/fhx//vknTpw4gVmzZsHDw6PivgFE1Z1i93EloofWkCFDhFqtFg4ODlbbRx99JIQQAoCIioqyOqd169bi1VdfFUIIMXv2bOHq6irS09Mt+9esWSNUKpVISEgQQgjh5+cnJkyYUGwMAMT7779veZ6eni4kSRJ//vmnEEKIxx9/XLz00ku2qTARlRnHYBDRfencuTNmzZplVebm5mb5OiIiwmpfREQEYmJiAAAnTpxAs2bN4ODgYNnfrl07mM1mnDp1CpIk4erVq+jSpUuJMTRt2tTytYODA5ycnJCYmAgAePXVV/HMM8/g4MGDiIyMRN++fdG2bdv7qisRlR0TDCK6Lw4ODoW6LO5FkiQAgBDC8nVRx9jb25fqenZ2doXONZvNAICePXvi0qVLWLNmDTZu3IguXbrg9ddfx5dfflmmmIno/nAMBhGViz179hR6Xr9+fQBAw4YNERMTg4yMDMv+nTt3QqVSoV69enByckJwcDA2bdr0QDF4enpi6NChWLRoEWbMmIHZs2c/0PWIqPTYgkFE98VoNCIhIcGqTKPRWAZSLl++HOHh4Xj00UexePFi7Nu3Dz///DMAYODAgZg4cSKGDBmCSZMm4fr16xg1ahQGDRoEb29vAMCkSZMQFRUFLy8v9OzZE2lpadi5cydGjRpVqvg+/PBDhIWFoVGjRjAajfjjjz/QoEEDG34HiKgkTDCI6L6sW7cOvr6+VmWhoaE4efIkAHmGx9KlS/Haa6/Bx8cHixcvRsOGDQEABoMB69evx5tvvolHHnkEBoMBzzzzDKZNm2a51pAhQ5CdnY3p06fjnXfegYeHB5599tlSx6fVajF+/HhcvHgR9vb2aN++PZYuXWqDmhNRaUhCCKF0EERUtUiShN9++w19+/ZVOhQiUgjHYBAREZHNMcEgIiIim+MYDCKyOfa8EhFbMIiIiMjmmGAQERGRzTHBICIiIptjgkFEREQ2xwSDiIiIbI4JBhEREdkcEwwiIiKyOSYYREREZHP/D7vf1SWtDPWdAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 600x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "plt.figure(figsize=(6,4))\n",
    "plt.plot(history.history[\"loss\"]);\n",
    "plt.plot(history.history[\"val_loss\"])\n",
    "plt.title(\"Loss of model with set of training and validation\")\n",
    "plt.xlabel(\"Epochs\");\n",
    "plt.ylabel(\"MSE\");\n",
    "plt.legend([\"Training\",\"Validation\"],loc=\"upper right\");"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "87a92041",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Real = 253 , Prediction = 249 \n",
      "Real = 344 , Prediction = 343 \n",
      "Real = 322 , Prediction = 327 \n",
      "Real = 297 , Prediction = 297 \n",
      "Real = 308 , Prediction = 304 \n",
      "Real = 406 , Prediction = 406 \n",
      "Real = 242 , Prediction = 239 \n",
      "Real = 216 , Prediction = 218 \n",
      "Real = 246 , Prediction = 247 \n",
      "Real = 223 , Prediction = 222 \n",
      "Real = 283 , Prediction = 276 \n",
      "Real = 326 , Prediction = 324 \n",
      "Real = 274 , Prediction = 271 \n",
      "Real = 251 , Prediction = 256 \n",
      "Real = 322 , Prediction = 321 \n",
      "Real = 382 , Prediction = 384 \n",
      "Real = 248 , Prediction = 239 \n",
      "Real = 193 , Prediction = 191 \n",
      "Real = 204 , Prediction = 202 \n",
      "Real = 211 , Prediction = 210 \n"
     ]
    }
   ],
   "source": [
    "#Proving the results\n",
    "\n",
    "for i in range(0,20):\n",
    "    print(\"Real = {} , Prediction = {} \".format(y_test.values[i][0] , round(y_pred.values[i][0])) )"
   ]
  }
 ],
 "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": "3.9.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}