ml_models.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Souper-duper predictive model"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Prepare data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import os"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "def day2int(day: str):\n",
    "    ''' Convert a day to an integer. '''\n",
    "    days = ['monday', 'tuesday', 'wednesday', 'thursday', 'friday', 'saturday', 'sunday']\n",
    "    days = {day: idx for (idx, day) in enumerate(days)}\n",
    "    return days.get(day.lower())\n",
    "    \n",
    "def month2int(month: str):\n",
    "    ''' Convert a month to an integer. '''\n",
    "    months = ['january', 'february', 'march', 'april', 'may', 'june', 'july', \n",
    "              'august', 'september', 'october', 'november', 'december']\n",
    "    months = {month: idx for (idx, month) in enumerate(months)}\n",
    "    return months.get(month.lower())\n",
    "\n",
    "def season2int(season: str):\n",
    "    ''' Convert a season to an integer. '''\n",
    "    seasons = ['winter', 'spring', 'summer', 'autumn']\n",
    "    seasons = {season: idx for (idx, season) in enumerate(seasons)}\n",
    "    return seasons.get(season.lower())\n",
    "\n",
    "def date2dayofyear(date: str):\n",
    "    ''' Convert at date of the YYYY-MM-DD format\n",
    "        to the day of the year. '''\n",
    "    from calendar import monthrange\n",
    "    year = int(date[0:4])\n",
    "    month = int(date[5:7])\n",
    "    day = int(date[8:10])\n",
    "    \n",
    "    day_of_year = 0\n",
    "    for m in range(1, month):\n",
    "        day_of_year += monthrange(year, m)[1]\n",
    "    day_of_year += day\n",
    "    \n",
    "    return day_of_year"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(2, 11, 3, 36)"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Just testing functions\n",
    "day2int('Wednesday'), month2int('december'), season2int('AuTUMN'), date2dayofyear('2019-02-05')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "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>locA</th>\n",
       "      <th>locB</th>\n",
       "      <th>total</th>\n",
       "      <th>month</th>\n",
       "      <th>day_of_week</th>\n",
       "      <th>day_of_month</th>\n",
       "      <th>season</th>\n",
       "      <th>event</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2018-02-03</td>\n",
       "      <td>30</td>\n",
       "      <td>15</td>\n",
       "      <td>45</td>\n",
       "      <td>February</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>3</td>\n",
       "      <td>Winter</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2018-02-05</td>\n",
       "      <td>30</td>\n",
       "      <td>17</td>\n",
       "      <td>47</td>\n",
       "      <td>February</td>\n",
       "      <td>Monday</td>\n",
       "      <td>5</td>\n",
       "      <td>Winter</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2018-02-24</td>\n",
       "      <td>25</td>\n",
       "      <td>9</td>\n",
       "      <td>34</td>\n",
       "      <td>February</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>24</td>\n",
       "      <td>Winter</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2018-03-03</td>\n",
       "      <td>30</td>\n",
       "      <td>15</td>\n",
       "      <td>45</td>\n",
       "      <td>March</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>3</td>\n",
       "      <td>Spring</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2018-03-05</td>\n",
       "      <td>30</td>\n",
       "      <td>12</td>\n",
       "      <td>42</td>\n",
       "      <td>March</td>\n",
       "      <td>Monday</td>\n",
       "      <td>5</td>\n",
       "      <td>Spring</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         date  locA  locB  total     month day_of_week  day_of_month  season  \\\n",
       "0  2018-02-03    30    15     45  February    Saturday             3  Winter   \n",
       "1  2018-02-05    30    17     47  February      Monday             5  Winter   \n",
       "2  2018-02-24    25     9     34  February    Saturday            24  Winter   \n",
       "3  2018-03-03    30    15     45     March    Saturday             3  Spring   \n",
       "4  2018-03-05    30    12     42     March      Monday             5  Spring   \n",
       "\n",
       "   event  \n",
       "0      0  \n",
       "1      0  \n",
       "2      0  \n",
       "3      0  \n",
       "4      0  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "path = os.path.join('data', 'souper_with_events.csv')\n",
    "soup = pd.read_csv(path, index_col = 0)\n",
    "soup.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "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>day</th>\n",
       "      <th>month</th>\n",
       "      <th>year</th>\n",
       "      <th>precip_intensity_max</th>\n",
       "      <th>precip_intensity_avg</th>\n",
       "      <th>precip_type</th>\n",
       "      <th>wind_speed_max</th>\n",
       "      <th>wind_speed_avg</th>\n",
       "      <th>gust_max</th>\n",
       "      <th>gust_avg</th>\n",
       "      <th>temp_min</th>\n",
       "      <th>temp_max</th>\n",
       "      <th>temp_avg</th>\n",
       "      <th>temp_day</th>\n",
       "      <th>temp_night</th>\n",
       "      <th>humidity</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2018</td>\n",
       "      <td>0.1336</td>\n",
       "      <td>0.0190</td>\n",
       "      <td>rain</td>\n",
       "      <td>3.27</td>\n",
       "      <td>3.25</td>\n",
       "      <td>10.24</td>\n",
       "      <td>4.03</td>\n",
       "      <td>0.18</td>\n",
       "      <td>2.84</td>\n",
       "      <td>1.58</td>\n",
       "      <td>2.84</td>\n",
       "      <td>-3.10</td>\n",
       "      <td>0.83</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>2018</td>\n",
       "      <td>0.0129</td>\n",
       "      <td>0.0005</td>\n",
       "      <td>rain</td>\n",
       "      <td>7.07</td>\n",
       "      <td>7.05</td>\n",
       "      <td>11.88</td>\n",
       "      <td>7.28</td>\n",
       "      <td>-3.10</td>\n",
       "      <td>-0.07</td>\n",
       "      <td>-1.50</td>\n",
       "      <td>-0.20</td>\n",
       "      <td>-3.27</td>\n",
       "      <td>0.76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>2018</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>no_precip</td>\n",
       "      <td>7.72</td>\n",
       "      <td>7.74</td>\n",
       "      <td>9.97</td>\n",
       "      <td>7.84</td>\n",
       "      <td>-4.58</td>\n",
       "      <td>-1.02</td>\n",
       "      <td>-2.71</td>\n",
       "      <td>-1.02</td>\n",
       "      <td>-5.55</td>\n",
       "      <td>0.74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>6</td>\n",
       "      <td>2</td>\n",
       "      <td>2018</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>no_precip</td>\n",
       "      <td>5.84</td>\n",
       "      <td>5.86</td>\n",
       "      <td>6.98</td>\n",
       "      <td>5.88</td>\n",
       "      <td>-5.55</td>\n",
       "      <td>-2.78</td>\n",
       "      <td>-4.15</td>\n",
       "      <td>-2.78</td>\n",
       "      <td>-5.11</td>\n",
       "      <td>0.74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>2018</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>no_precip</td>\n",
       "      <td>3.62</td>\n",
       "      <td>3.65</td>\n",
       "      <td>5.26</td>\n",
       "      <td>3.74</td>\n",
       "      <td>-5.11</td>\n",
       "      <td>-0.01</td>\n",
       "      <td>-2.72</td>\n",
       "      <td>-0.01</td>\n",
       "      <td>-2.83</td>\n",
       "      <td>0.68</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   day  month  year  precip_intensity_max  precip_intensity_avg precip_type  \\\n",
       "0    3      2  2018                0.1336                0.0190        rain   \n",
       "1    4      2  2018                0.0129                0.0005        rain   \n",
       "2    5      2  2018                0.0000                0.0000   no_precip   \n",
       "3    6      2  2018                0.0000                0.0000   no_precip   \n",
       "4    7      2  2018                0.0000                0.0000   no_precip   \n",
       "\n",
       "   wind_speed_max  wind_speed_avg  gust_max  gust_avg  temp_min  temp_max  \\\n",
       "0            3.27            3.25     10.24      4.03      0.18      2.84   \n",
       "1            7.07            7.05     11.88      7.28     -3.10     -0.07   \n",
       "2            7.72            7.74      9.97      7.84     -4.58     -1.02   \n",
       "3            5.84            5.86      6.98      5.88     -5.55     -2.78   \n",
       "4            3.62            3.65      5.26      3.74     -5.11     -0.01   \n",
       "\n",
       "   temp_avg  temp_day  temp_night  humidity  \n",
       "0      1.58      2.84       -3.10      0.83  \n",
       "1     -1.50     -0.20       -3.27      0.76  \n",
       "2     -2.71     -1.02       -5.55      0.74  \n",
       "3     -4.15     -2.78       -5.11      0.74  \n",
       "4     -2.72     -0.01       -2.83      0.68  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "path = os.path.join('data', 'weather_data_complete.csv')\n",
    "weather = pd.read_csv(path)\n",
    "weather.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "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>day</th>\n",
       "      <th>year</th>\n",
       "      <th>precip_intensity_max</th>\n",
       "      <th>precip_intensity_avg</th>\n",
       "      <th>precip_type</th>\n",
       "      <th>wind_speed_max</th>\n",
       "      <th>wind_speed_avg</th>\n",
       "      <th>gust_max</th>\n",
       "      <th>gust_avg</th>\n",
       "      <th>temp_min</th>\n",
       "      <th>...</th>\n",
       "      <th>date</th>\n",
       "      <th>day_of_year</th>\n",
       "      <th>locA</th>\n",
       "      <th>locB</th>\n",
       "      <th>total</th>\n",
       "      <th>month</th>\n",
       "      <th>day_of_week</th>\n",
       "      <th>day_of_month</th>\n",
       "      <th>season</th>\n",
       "      <th>event</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>3</td>\n",
       "      <td>2018</td>\n",
       "      <td>0.1336</td>\n",
       "      <td>0.019</td>\n",
       "      <td>rain</td>\n",
       "      <td>3.27</td>\n",
       "      <td>3.25</td>\n",
       "      <td>10.24</td>\n",
       "      <td>4.03</td>\n",
       "      <td>0.18</td>\n",
       "      <td>...</td>\n",
       "      <td>2018-02-03</td>\n",
       "      <td>34</td>\n",
       "      <td>30</td>\n",
       "      <td>15</td>\n",
       "      <td>45</td>\n",
       "      <td>February</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>3</td>\n",
       "      <td>Winter</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>5</td>\n",
       "      <td>2018</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>no_precip</td>\n",
       "      <td>7.72</td>\n",
       "      <td>7.74</td>\n",
       "      <td>9.97</td>\n",
       "      <td>7.84</td>\n",
       "      <td>-4.58</td>\n",
       "      <td>...</td>\n",
       "      <td>2018-02-05</td>\n",
       "      <td>36</td>\n",
       "      <td>30</td>\n",
       "      <td>17</td>\n",
       "      <td>47</td>\n",
       "      <td>February</td>\n",
       "      <td>Monday</td>\n",
       "      <td>5</td>\n",
       "      <td>Winter</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>24</td>\n",
       "      <td>2018</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>no_precip</td>\n",
       "      <td>8.92</td>\n",
       "      <td>8.92</td>\n",
       "      <td>12.12</td>\n",
       "      <td>8.92</td>\n",
       "      <td>-9.05</td>\n",
       "      <td>...</td>\n",
       "      <td>2018-02-24</td>\n",
       "      <td>55</td>\n",
       "      <td>25</td>\n",
       "      <td>9</td>\n",
       "      <td>34</td>\n",
       "      <td>February</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>24</td>\n",
       "      <td>Winter</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>2018</td>\n",
       "      <td>0.1913</td>\n",
       "      <td>0.014</td>\n",
       "      <td>snow</td>\n",
       "      <td>5.05</td>\n",
       "      <td>5.08</td>\n",
       "      <td>11.21</td>\n",
       "      <td>5.79</td>\n",
       "      <td>-7.17</td>\n",
       "      <td>...</td>\n",
       "      <td>2018-03-03</td>\n",
       "      <td>62</td>\n",
       "      <td>30</td>\n",
       "      <td>15</td>\n",
       "      <td>45</td>\n",
       "      <td>March</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>3</td>\n",
       "      <td>Spring</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>2018</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>no_precip</td>\n",
       "      <td>4.75</td>\n",
       "      <td>4.76</td>\n",
       "      <td>6.02</td>\n",
       "      <td>4.81</td>\n",
       "      <td>-1.14</td>\n",
       "      <td>...</td>\n",
       "      <td>2018-03-05</td>\n",
       "      <td>64</td>\n",
       "      <td>30</td>\n",
       "      <td>12</td>\n",
       "      <td>42</td>\n",
       "      <td>March</td>\n",
       "      <td>Monday</td>\n",
       "      <td>5</td>\n",
       "      <td>Spring</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 25 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   day  year  precip_intensity_max  precip_intensity_avg precip_type  \\\n",
       "0    3  2018                0.1336                 0.019        rain   \n",
       "1    5  2018                0.0000                 0.000   no_precip   \n",
       "2   24  2018                0.0000                 0.000   no_precip   \n",
       "3    3  2018                0.1913                 0.014        snow   \n",
       "4    5  2018                0.0000                 0.000   no_precip   \n",
       "\n",
       "   wind_speed_max  wind_speed_avg  gust_max  gust_avg  temp_min  ...  \\\n",
       "0            3.27            3.25     10.24      4.03      0.18  ...   \n",
       "1            7.72            7.74      9.97      7.84     -4.58  ...   \n",
       "2            8.92            8.92     12.12      8.92     -9.05  ...   \n",
       "3            5.05            5.08     11.21      5.79     -7.17  ...   \n",
       "4            4.75            4.76      6.02      4.81     -1.14  ...   \n",
       "\n",
       "         date  day_of_year  locA  locB  total     month  day_of_week  \\\n",
       "0  2018-02-03           34    30    15     45  February     Saturday   \n",
       "1  2018-02-05           36    30    17     47  February       Monday   \n",
       "2  2018-02-24           55    25     9     34  February     Saturday   \n",
       "3  2018-03-03           62    30    15     45     March     Saturday   \n",
       "4  2018-03-05           64    30    12     42     March       Monday   \n",
       "\n",
       "   day_of_month  season  event  \n",
       "0             3  Winter      0  \n",
       "1             5  Winter      0  \n",
       "2            24  Winter      0  \n",
       "3             3  Spring      0  \n",
       "4             5  Spring      0  \n",
       "\n",
       "[5 rows x 25 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "weather['date'] = weather['year'].astype(str) + '-' + \\\n",
    "                  weather['month'].astype(str).apply(lambda s: f'{s:0>2}') + '-' + \\\n",
    "                  weather['day'].astype(str).apply(lambda s: f'{s:0>2}')\n",
    "weather = weather.drop(['month'], axis = 1)\n",
    "weather.loc[:, 'day_of_year'] = weather.loc[:, 'date'].apply(date2dayofyear)\n",
    "df = weather.merge(soup, on = 'date')\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "variables = [\n",
    "    'year',\n",
    "    'month',\n",
    "    'day_of_week',\n",
    "    'day_of_month',\n",
    "    'day_of_year',\n",
    "    'season',\n",
    "    'precip_intensity_max',\n",
    "    'precip_intensity_avg',\n",
    "    'wind_speed_max',\n",
    "    'wind_speed_avg',\n",
    "    'gust_max',\n",
    "    'gust_avg',\n",
    "    'temp_min',\n",
    "    'temp_max',\n",
    "    'temp_avg',\n",
    "    'temp_day',\n",
    "    'temp_night',\n",
    "    'humidity',\n",
    "    'event'\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>day_of_week</th>\n",
       "      <th>day_of_month</th>\n",
       "      <th>day_of_year</th>\n",
       "      <th>season</th>\n",
       "      <th>precip_intensity_max</th>\n",
       "      <th>precip_intensity_avg</th>\n",
       "      <th>wind_speed_max</th>\n",
       "      <th>wind_speed_avg</th>\n",
       "      <th>gust_max</th>\n",
       "      <th>gust_avg</th>\n",
       "      <th>temp_min</th>\n",
       "      <th>temp_max</th>\n",
       "      <th>temp_avg</th>\n",
       "      <th>temp_day</th>\n",
       "      <th>temp_night</th>\n",
       "      <th>humidity</th>\n",
       "      <th>event</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2018</td>\n",
       "      <td>February</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>3</td>\n",
       "      <td>34</td>\n",
       "      <td>Winter</td>\n",
       "      <td>0.1336</td>\n",
       "      <td>0.019</td>\n",
       "      <td>3.27</td>\n",
       "      <td>3.25</td>\n",
       "      <td>10.24</td>\n",
       "      <td>4.03</td>\n",
       "      <td>0.18</td>\n",
       "      <td>2.84</td>\n",
       "      <td>1.58</td>\n",
       "      <td>2.84</td>\n",
       "      <td>-3.10</td>\n",
       "      <td>0.83</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2018</td>\n",
       "      <td>February</td>\n",
       "      <td>Monday</td>\n",
       "      <td>5</td>\n",
       "      <td>36</td>\n",
       "      <td>Winter</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>7.72</td>\n",
       "      <td>7.74</td>\n",
       "      <td>9.97</td>\n",
       "      <td>7.84</td>\n",
       "      <td>-4.58</td>\n",
       "      <td>-1.02</td>\n",
       "      <td>-2.71</td>\n",
       "      <td>-1.02</td>\n",
       "      <td>-5.55</td>\n",
       "      <td>0.74</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2018</td>\n",
       "      <td>February</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>24</td>\n",
       "      <td>55</td>\n",
       "      <td>Winter</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>8.92</td>\n",
       "      <td>8.92</td>\n",
       "      <td>12.12</td>\n",
       "      <td>8.92</td>\n",
       "      <td>-9.05</td>\n",
       "      <td>-0.76</td>\n",
       "      <td>-5.33</td>\n",
       "      <td>-0.76</td>\n",
       "      <td>-9.69</td>\n",
       "      <td>0.60</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2018</td>\n",
       "      <td>March</td>\n",
       "      <td>Saturday</td>\n",
       "      <td>3</td>\n",
       "      <td>62</td>\n",
       "      <td>Spring</td>\n",
       "      <td>0.1913</td>\n",
       "      <td>0.014</td>\n",
       "      <td>5.05</td>\n",
       "      <td>5.08</td>\n",
       "      <td>11.21</td>\n",
       "      <td>5.79</td>\n",
       "      <td>-7.17</td>\n",
       "      <td>0.50</td>\n",
       "      <td>-3.55</td>\n",
       "      <td>0.50</td>\n",
       "      <td>-2.01</td>\n",
       "      <td>0.86</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2018</td>\n",
       "      <td>March</td>\n",
       "      <td>Monday</td>\n",
       "      <td>5</td>\n",
       "      <td>64</td>\n",
       "      <td>Spring</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>4.75</td>\n",
       "      <td>4.76</td>\n",
       "      <td>6.02</td>\n",
       "      <td>4.81</td>\n",
       "      <td>-1.14</td>\n",
       "      <td>6.35</td>\n",
       "      <td>2.27</td>\n",
       "      <td>6.35</td>\n",
       "      <td>1.42</td>\n",
       "      <td>0.87</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   year     month day_of_week  day_of_month  day_of_year  season  \\\n",
       "0  2018  February    Saturday             3           34  Winter   \n",
       "1  2018  February      Monday             5           36  Winter   \n",
       "2  2018  February    Saturday            24           55  Winter   \n",
       "3  2018     March    Saturday             3           62  Spring   \n",
       "4  2018     March      Monday             5           64  Spring   \n",
       "\n",
       "   precip_intensity_max  precip_intensity_avg  wind_speed_max  wind_speed_avg  \\\n",
       "0                0.1336                 0.019            3.27            3.25   \n",
       "1                0.0000                 0.000            7.72            7.74   \n",
       "2                0.0000                 0.000            8.92            8.92   \n",
       "3                0.1913                 0.014            5.05            5.08   \n",
       "4                0.0000                 0.000            4.75            4.76   \n",
       "\n",
       "   gust_max  gust_avg  temp_min  temp_max  temp_avg  temp_day  temp_night  \\\n",
       "0     10.24      4.03      0.18      2.84      1.58      2.84       -3.10   \n",
       "1      9.97      7.84     -4.58     -1.02     -2.71     -1.02       -5.55   \n",
       "2     12.12      8.92     -9.05     -0.76     -5.33     -0.76       -9.69   \n",
       "3     11.21      5.79     -7.17      0.50     -3.55      0.50       -2.01   \n",
       "4      6.02      4.81     -1.14      6.35      2.27      6.35        1.42   \n",
       "\n",
       "   humidity  event  \n",
       "0      0.83      0  \n",
       "1      0.74      0  \n",
       "2      0.60      0  \n",
       "3      0.86      0  \n",
       "4      0.87      0  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X = df[variables].copy()\n",
    "y = df['total'].copy()\n",
    "X.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "scrolled": true
   },
   "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>year</th>\n",
       "      <th>month</th>\n",
       "      <th>day_of_week</th>\n",
       "      <th>day_of_month</th>\n",
       "      <th>day_of_year</th>\n",
       "      <th>season</th>\n",
       "      <th>precip_intensity_max</th>\n",
       "      <th>precip_intensity_avg</th>\n",
       "      <th>wind_speed_max</th>\n",
       "      <th>wind_speed_avg</th>\n",
       "      <th>gust_max</th>\n",
       "      <th>gust_avg</th>\n",
       "      <th>temp_min</th>\n",
       "      <th>temp_max</th>\n",
       "      <th>temp_avg</th>\n",
       "      <th>temp_day</th>\n",
       "      <th>temp_night</th>\n",
       "      <th>humidity</th>\n",
       "      <th>event</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2018</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>34</td>\n",
       "      <td>0</td>\n",
       "      <td>0.1336</td>\n",
       "      <td>0.019</td>\n",
       "      <td>3.27</td>\n",
       "      <td>3.25</td>\n",
       "      <td>10.24</td>\n",
       "      <td>4.03</td>\n",
       "      <td>0.18</td>\n",
       "      <td>2.84</td>\n",
       "      <td>1.58</td>\n",
       "      <td>2.84</td>\n",
       "      <td>-3.10</td>\n",
       "      <td>0.83</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2018</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>36</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>7.72</td>\n",
       "      <td>7.74</td>\n",
       "      <td>9.97</td>\n",
       "      <td>7.84</td>\n",
       "      <td>-4.58</td>\n",
       "      <td>-1.02</td>\n",
       "      <td>-2.71</td>\n",
       "      <td>-1.02</td>\n",
       "      <td>-5.55</td>\n",
       "      <td>0.74</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2018</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>24</td>\n",
       "      <td>55</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>8.92</td>\n",
       "      <td>8.92</td>\n",
       "      <td>12.12</td>\n",
       "      <td>8.92</td>\n",
       "      <td>-9.05</td>\n",
       "      <td>-0.76</td>\n",
       "      <td>-5.33</td>\n",
       "      <td>-0.76</td>\n",
       "      <td>-9.69</td>\n",
       "      <td>0.60</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2018</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>62</td>\n",
       "      <td>1</td>\n",
       "      <td>0.1913</td>\n",
       "      <td>0.014</td>\n",
       "      <td>5.05</td>\n",
       "      <td>5.08</td>\n",
       "      <td>11.21</td>\n",
       "      <td>5.79</td>\n",
       "      <td>-7.17</td>\n",
       "      <td>0.50</td>\n",
       "      <td>-3.55</td>\n",
       "      <td>0.50</td>\n",
       "      <td>-2.01</td>\n",
       "      <td>0.86</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2018</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>64</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>4.75</td>\n",
       "      <td>4.76</td>\n",
       "      <td>6.02</td>\n",
       "      <td>4.81</td>\n",
       "      <td>-1.14</td>\n",
       "      <td>6.35</td>\n",
       "      <td>2.27</td>\n",
       "      <td>6.35</td>\n",
       "      <td>1.42</td>\n",
       "      <td>0.87</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   year  month  day_of_week  day_of_month  day_of_year  season  \\\n",
       "0  2018      1            5             3           34       0   \n",
       "1  2018      1            0             5           36       0   \n",
       "2  2018      1            5            24           55       0   \n",
       "3  2018      2            5             3           62       1   \n",
       "4  2018      2            0             5           64       1   \n",
       "\n",
       "   precip_intensity_max  precip_intensity_avg  wind_speed_max  wind_speed_avg  \\\n",
       "0                0.1336                 0.019            3.27            3.25   \n",
       "1                0.0000                 0.000            7.72            7.74   \n",
       "2                0.0000                 0.000            8.92            8.92   \n",
       "3                0.1913                 0.014            5.05            5.08   \n",
       "4                0.0000                 0.000            4.75            4.76   \n",
       "\n",
       "   gust_max  gust_avg  temp_min  temp_max  temp_avg  temp_day  temp_night  \\\n",
       "0     10.24      4.03      0.18      2.84      1.58      2.84       -3.10   \n",
       "1      9.97      7.84     -4.58     -1.02     -2.71     -1.02       -5.55   \n",
       "2     12.12      8.92     -9.05     -0.76     -5.33     -0.76       -9.69   \n",
       "3     11.21      5.79     -7.17      0.50     -3.55      0.50       -2.01   \n",
       "4      6.02      4.81     -1.14      6.35      2.27      6.35        1.42   \n",
       "\n",
       "   humidity  event  \n",
       "0      0.83      0  \n",
       "1      0.74      0  \n",
       "2      0.60      0  \n",
       "3      0.86      0  \n",
       "4      0.87      0  "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X['day_of_week'] = X['day_of_week'].apply(day2int)\n",
    "X['month'] = X['month'].apply(month2int)\n",
    "X['season'] = X['season'].apply(season2int)\n",
    "X.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Data analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "from matplotlib import pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "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>year</th>\n",
       "      <th>month</th>\n",
       "      <th>day_of_week</th>\n",
       "      <th>day_of_month</th>\n",
       "      <th>day_of_year</th>\n",
       "      <th>season</th>\n",
       "      <th>precip_intensity_max</th>\n",
       "      <th>precip_intensity_avg</th>\n",
       "      <th>wind_speed_max</th>\n",
       "      <th>wind_speed_avg</th>\n",
       "      <th>gust_max</th>\n",
       "      <th>gust_avg</th>\n",
       "      <th>temp_min</th>\n",
       "      <th>temp_max</th>\n",
       "      <th>temp_avg</th>\n",
       "      <th>temp_day</th>\n",
       "      <th>temp_night</th>\n",
       "      <th>humidity</th>\n",
       "      <th>event</th>\n",
       "      <th>total</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2018</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>34</td>\n",
       "      <td>0</td>\n",
       "      <td>0.1336</td>\n",
       "      <td>0.019</td>\n",
       "      <td>3.27</td>\n",
       "      <td>3.25</td>\n",
       "      <td>10.24</td>\n",
       "      <td>4.03</td>\n",
       "      <td>0.18</td>\n",
       "      <td>2.84</td>\n",
       "      <td>1.58</td>\n",
       "      <td>2.84</td>\n",
       "      <td>-3.10</td>\n",
       "      <td>0.83</td>\n",
       "      <td>0</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2018</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>36</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>7.72</td>\n",
       "      <td>7.74</td>\n",
       "      <td>9.97</td>\n",
       "      <td>7.84</td>\n",
       "      <td>-4.58</td>\n",
       "      <td>-1.02</td>\n",
       "      <td>-2.71</td>\n",
       "      <td>-1.02</td>\n",
       "      <td>-5.55</td>\n",
       "      <td>0.74</td>\n",
       "      <td>0</td>\n",
       "      <td>47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2018</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>24</td>\n",
       "      <td>55</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>8.92</td>\n",
       "      <td>8.92</td>\n",
       "      <td>12.12</td>\n",
       "      <td>8.92</td>\n",
       "      <td>-9.05</td>\n",
       "      <td>-0.76</td>\n",
       "      <td>-5.33</td>\n",
       "      <td>-0.76</td>\n",
       "      <td>-9.69</td>\n",
       "      <td>0.60</td>\n",
       "      <td>0</td>\n",
       "      <td>34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2018</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>62</td>\n",
       "      <td>1</td>\n",
       "      <td>0.1913</td>\n",
       "      <td>0.014</td>\n",
       "      <td>5.05</td>\n",
       "      <td>5.08</td>\n",
       "      <td>11.21</td>\n",
       "      <td>5.79</td>\n",
       "      <td>-7.17</td>\n",
       "      <td>0.50</td>\n",
       "      <td>-3.55</td>\n",
       "      <td>0.50</td>\n",
       "      <td>-2.01</td>\n",
       "      <td>0.86</td>\n",
       "      <td>0</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2018</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>64</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>4.75</td>\n",
       "      <td>4.76</td>\n",
       "      <td>6.02</td>\n",
       "      <td>4.81</td>\n",
       "      <td>-1.14</td>\n",
       "      <td>6.35</td>\n",
       "      <td>2.27</td>\n",
       "      <td>6.35</td>\n",
       "      <td>1.42</td>\n",
       "      <td>0.87</td>\n",
       "      <td>0</td>\n",
       "      <td>42</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   year  month  day_of_week  day_of_month  day_of_year  season  \\\n",
       "0  2018      1            5             3           34       0   \n",
       "1  2018      1            0             5           36       0   \n",
       "2  2018      1            5            24           55       0   \n",
       "3  2018      2            5             3           62       1   \n",
       "4  2018      2            0             5           64       1   \n",
       "\n",
       "   precip_intensity_max  precip_intensity_avg  wind_speed_max  wind_speed_avg  \\\n",
       "0                0.1336                 0.019            3.27            3.25   \n",
       "1                0.0000                 0.000            7.72            7.74   \n",
       "2                0.0000                 0.000            8.92            8.92   \n",
       "3                0.1913                 0.014            5.05            5.08   \n",
       "4                0.0000                 0.000            4.75            4.76   \n",
       "\n",
       "   gust_max  gust_avg  temp_min  temp_max  temp_avg  temp_day  temp_night  \\\n",
       "0     10.24      4.03      0.18      2.84      1.58      2.84       -3.10   \n",
       "1      9.97      7.84     -4.58     -1.02     -2.71     -1.02       -5.55   \n",
       "2     12.12      8.92     -9.05     -0.76     -5.33     -0.76       -9.69   \n",
       "3     11.21      5.79     -7.17      0.50     -3.55      0.50       -2.01   \n",
       "4      6.02      4.81     -1.14      6.35      2.27      6.35        1.42   \n",
       "\n",
       "   humidity  event  total  \n",
       "0      0.83      0     45  \n",
       "1      0.74      0     47  \n",
       "2      0.60      0     34  \n",
       "3      0.86      0     45  \n",
       "4      0.87      0     42  "
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "viz = X.copy()\n",
    "viz['total'] = y\n",
    "viz.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1008x792 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "f = plt.figure(figsize = (14, 11))\n",
    "plt.matshow(viz.corr(), fignum = f.number, cmap = 'coolwarm', vmin = -1, vmax = 1)\n",
    "plt.xticks(range(viz.shape[1]), viz.columns, fontsize=14, rotation=65)\n",
    "plt.yticks(range(viz.shape[1]), viz.columns, fontsize=14)\n",
    "cb = plt.colorbar()\n",
    "cb.ax.tick_params(labelsize=14)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Model selection"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split, cross_val_score\n",
    "from sklearn import linear_model, svm, ensemble, neural_network"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "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>year</th>\n",
       "      <th>month</th>\n",
       "      <th>day_of_week</th>\n",
       "      <th>day_of_month</th>\n",
       "      <th>day_of_year</th>\n",
       "      <th>season</th>\n",
       "      <th>precip_intensity_max</th>\n",
       "      <th>precip_intensity_avg</th>\n",
       "      <th>wind_speed_max</th>\n",
       "      <th>wind_speed_avg</th>\n",
       "      <th>...</th>\n",
       "      <th>gust_avg</th>\n",
       "      <th>temp_min</th>\n",
       "      <th>temp_max</th>\n",
       "      <th>temp_avg</th>\n",
       "      <th>temp_day</th>\n",
       "      <th>temp_night</th>\n",
       "      <th>humidity</th>\n",
       "      <th>event</th>\n",
       "      <th>total</th>\n",
       "      <th>date</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2018</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>34</td>\n",
       "      <td>0</td>\n",
       "      <td>0.1336</td>\n",
       "      <td>0.019</td>\n",
       "      <td>3.27</td>\n",
       "      <td>3.25</td>\n",
       "      <td>...</td>\n",
       "      <td>4.03</td>\n",
       "      <td>0.18</td>\n",
       "      <td>2.84</td>\n",
       "      <td>1.58</td>\n",
       "      <td>2.84</td>\n",
       "      <td>-3.10</td>\n",
       "      <td>0.83</td>\n",
       "      <td>0</td>\n",
       "      <td>45</td>\n",
       "      <td>2018-01-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2018</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>36</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>7.72</td>\n",
       "      <td>7.74</td>\n",
       "      <td>...</td>\n",
       "      <td>7.84</td>\n",
       "      <td>-4.58</td>\n",
       "      <td>-1.02</td>\n",
       "      <td>-2.71</td>\n",
       "      <td>-1.02</td>\n",
       "      <td>-5.55</td>\n",
       "      <td>0.74</td>\n",
       "      <td>0</td>\n",
       "      <td>47</td>\n",
       "      <td>2018-01-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2018</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>24</td>\n",
       "      <td>55</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>8.92</td>\n",
       "      <td>8.92</td>\n",
       "      <td>...</td>\n",
       "      <td>8.92</td>\n",
       "      <td>-9.05</td>\n",
       "      <td>-0.76</td>\n",
       "      <td>-5.33</td>\n",
       "      <td>-0.76</td>\n",
       "      <td>-9.69</td>\n",
       "      <td>0.60</td>\n",
       "      <td>0</td>\n",
       "      <td>34</td>\n",
       "      <td>2018-01-24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2018</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>62</td>\n",
       "      <td>1</td>\n",
       "      <td>0.1913</td>\n",
       "      <td>0.014</td>\n",
       "      <td>5.05</td>\n",
       "      <td>5.08</td>\n",
       "      <td>...</td>\n",
       "      <td>5.79</td>\n",
       "      <td>-7.17</td>\n",
       "      <td>0.50</td>\n",
       "      <td>-3.55</td>\n",
       "      <td>0.50</td>\n",
       "      <td>-2.01</td>\n",
       "      <td>0.86</td>\n",
       "      <td>0</td>\n",
       "      <td>45</td>\n",
       "      <td>2018-02-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2018</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>64</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>4.75</td>\n",
       "      <td>4.76</td>\n",
       "      <td>...</td>\n",
       "      <td>4.81</td>\n",
       "      <td>-1.14</td>\n",
       "      <td>6.35</td>\n",
       "      <td>2.27</td>\n",
       "      <td>6.35</td>\n",
       "      <td>1.42</td>\n",
       "      <td>0.87</td>\n",
       "      <td>0</td>\n",
       "      <td>42</td>\n",
       "      <td>2018-02-05</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   year  month  day_of_week  day_of_month  day_of_year  season  \\\n",
       "0  2018      1            5             3           34       0   \n",
       "1  2018      1            0             5           36       0   \n",
       "2  2018      1            5            24           55       0   \n",
       "3  2018      2            5             3           62       1   \n",
       "4  2018      2            0             5           64       1   \n",
       "\n",
       "   precip_intensity_max  precip_intensity_avg  wind_speed_max  wind_speed_avg  \\\n",
       "0                0.1336                 0.019            3.27            3.25   \n",
       "1                0.0000                 0.000            7.72            7.74   \n",
       "2                0.0000                 0.000            8.92            8.92   \n",
       "3                0.1913                 0.014            5.05            5.08   \n",
       "4                0.0000                 0.000            4.75            4.76   \n",
       "\n",
       "   ...  gust_avg  temp_min  temp_max  temp_avg  temp_day  temp_night  \\\n",
       "0  ...      4.03      0.18      2.84      1.58      2.84       -3.10   \n",
       "1  ...      7.84     -4.58     -1.02     -2.71     -1.02       -5.55   \n",
       "2  ...      8.92     -9.05     -0.76     -5.33     -0.76       -9.69   \n",
       "3  ...      5.79     -7.17      0.50     -3.55      0.50       -2.01   \n",
       "4  ...      4.81     -1.14      6.35      2.27      6.35        1.42   \n",
       "\n",
       "   humidity  event  total        date  \n",
       "0      0.83      0     45  2018-01-03  \n",
       "1      0.74      0     47  2018-01-05  \n",
       "2      0.60      0     34  2018-01-24  \n",
       "3      0.86      0     45  2018-02-03  \n",
       "4      0.87      0     42  2018-02-05  \n",
       "\n",
       "[5 rows x 21 columns]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ml_viz = viz.copy()\n",
    "ml_viz['date'] = ml_viz['year'].astype(str) + '-' + \\\n",
    "                 ml_viz['month'].astype(str).apply(lambda s: f'{s:0>2}') + '-' + \\\n",
    "                 ml_viz['day_of_month'].astype(str).apply(lambda s: f'{s:0>2}')\n",
    "ml_viz.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "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>year</th>\n",
       "      <th>month</th>\n",
       "      <th>day_of_week</th>\n",
       "      <th>day_of_month</th>\n",
       "      <th>day_of_year</th>\n",
       "      <th>season</th>\n",
       "      <th>precip_intensity_max</th>\n",
       "      <th>precip_intensity_avg</th>\n",
       "      <th>wind_speed_max</th>\n",
       "      <th>wind_speed_avg</th>\n",
       "      <th>...</th>\n",
       "      <th>gust_avg</th>\n",
       "      <th>temp_min</th>\n",
       "      <th>temp_max</th>\n",
       "      <th>temp_avg</th>\n",
       "      <th>temp_day</th>\n",
       "      <th>temp_night</th>\n",
       "      <th>humidity</th>\n",
       "      <th>event</th>\n",
       "      <th>total</th>\n",
       "      <th>date</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2018</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>34</td>\n",
       "      <td>0</td>\n",
       "      <td>0.1336</td>\n",
       "      <td>0.019</td>\n",
       "      <td>3.27</td>\n",
       "      <td>3.25</td>\n",
       "      <td>...</td>\n",
       "      <td>4.03</td>\n",
       "      <td>0.18</td>\n",
       "      <td>2.84</td>\n",
       "      <td>1.58</td>\n",
       "      <td>2.84</td>\n",
       "      <td>-3.10</td>\n",
       "      <td>0.83</td>\n",
       "      <td>0</td>\n",
       "      <td>45</td>\n",
       "      <td>2018-01-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2018</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>36</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>7.72</td>\n",
       "      <td>7.74</td>\n",
       "      <td>...</td>\n",
       "      <td>7.84</td>\n",
       "      <td>-4.58</td>\n",
       "      <td>-1.02</td>\n",
       "      <td>-2.71</td>\n",
       "      <td>-1.02</td>\n",
       "      <td>-5.55</td>\n",
       "      <td>0.74</td>\n",
       "      <td>0</td>\n",
       "      <td>47</td>\n",
       "      <td>2018-01-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2018</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>24</td>\n",
       "      <td>55</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>8.92</td>\n",
       "      <td>8.92</td>\n",
       "      <td>...</td>\n",
       "      <td>8.92</td>\n",
       "      <td>-9.05</td>\n",
       "      <td>-0.76</td>\n",
       "      <td>-5.33</td>\n",
       "      <td>-0.76</td>\n",
       "      <td>-9.69</td>\n",
       "      <td>0.60</td>\n",
       "      <td>0</td>\n",
       "      <td>34</td>\n",
       "      <td>2018-01-24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2018</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>62</td>\n",
       "      <td>1</td>\n",
       "      <td>0.1913</td>\n",
       "      <td>0.014</td>\n",
       "      <td>5.05</td>\n",
       "      <td>5.08</td>\n",
       "      <td>...</td>\n",
       "      <td>5.79</td>\n",
       "      <td>-7.17</td>\n",
       "      <td>0.50</td>\n",
       "      <td>-3.55</td>\n",
       "      <td>0.50</td>\n",
       "      <td>-2.01</td>\n",
       "      <td>0.86</td>\n",
       "      <td>0</td>\n",
       "      <td>45</td>\n",
       "      <td>2018-02-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2018</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>64</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>4.75</td>\n",
       "      <td>4.76</td>\n",
       "      <td>...</td>\n",
       "      <td>4.81</td>\n",
       "      <td>-1.14</td>\n",
       "      <td>6.35</td>\n",
       "      <td>2.27</td>\n",
       "      <td>6.35</td>\n",
       "      <td>1.42</td>\n",
       "      <td>0.87</td>\n",
       "      <td>0</td>\n",
       "      <td>42</td>\n",
       "      <td>2018-02-05</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   year  month  day_of_week  day_of_month  day_of_year  season  \\\n",
       "0  2018      1            5             3           34       0   \n",
       "1  2018      1            0             5           36       0   \n",
       "2  2018      1            5            24           55       0   \n",
       "3  2018      2            5             3           62       1   \n",
       "4  2018      2            0             5           64       1   \n",
       "\n",
       "   precip_intensity_max  precip_intensity_avg  wind_speed_max  wind_speed_avg  \\\n",
       "0                0.1336                 0.019            3.27            3.25   \n",
       "1                0.0000                 0.000            7.72            7.74   \n",
       "2                0.0000                 0.000            8.92            8.92   \n",
       "3                0.1913                 0.014            5.05            5.08   \n",
       "4                0.0000                 0.000            4.75            4.76   \n",
       "\n",
       "   ...  gust_avg  temp_min  temp_max  temp_avg  temp_day  temp_night  \\\n",
       "0  ...      4.03      0.18      2.84      1.58      2.84       -3.10   \n",
       "1  ...      7.84     -4.58     -1.02     -2.71     -1.02       -5.55   \n",
       "2  ...      8.92     -9.05     -0.76     -5.33     -0.76       -9.69   \n",
       "3  ...      5.79     -7.17      0.50     -3.55      0.50       -2.01   \n",
       "4  ...      4.81     -1.14      6.35      2.27      6.35        1.42   \n",
       "\n",
       "   humidity  event  total        date  \n",
       "0      0.83      0     45  2018-01-03  \n",
       "1      0.74      0     47  2018-01-05  \n",
       "2      0.60      0     34  2018-01-24  \n",
       "3      0.86      0     45  2018-02-03  \n",
       "4      0.87      0     42  2018-02-05  \n",
       "\n",
       "[5 rows x 21 columns]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_idx = (ml_viz['year'] == 2018) | (ml_viz['month'] < 4) | \\\n",
    "               ((ml_viz['month'] == 4) & (ml_viz['day_of_month'] <= 20))\n",
    "train, test = ml_viz[train_idx], ml_viz[~train_idx]\n",
    "train.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "def viz_model(model):\n",
    "    from matplotlib import pyplot as plt\n",
    "    \n",
    "    model.fit(train[variables], train['total'])\n",
    "    preds = test.copy()[variables]\n",
    "    preds['total'] = [model.predict([preds.iloc[idx, :]])[0] for idx in range(len(preds))]\n",
    "    preds['date'] = preds['year'].astype(str) + '-' + \\\n",
    "                    preds['month'].astype(str).apply(lambda s: f'{s:0>2}') + '-' + \\\n",
    "                    preds['day_of_month'].astype(str).apply(lambda s: f'{s:0>2}')\n",
    "    preds = preds[['date', 'total']]\n",
    "    plt.style.use('seaborn-ticks')\n",
    "    \n",
    "    fig, ax = plt.subplots(figsize = (15, 10))\n",
    "    plt.plot(preds['date'], preds['total'], label = 'prediction', color = 'blue', linewidth = 2)\n",
    "    plt.plot(test['date'], test['total'], label = 'true', color = 'grey', linewidth = 2)\n",
    "    plt.legend(fontsize = 17)\n",
    "    plt.xticks(rotation =  60)\n",
    "    plt.title(f'Predictions - {model.__class__.__name__}', fontsize = 18)\n",
    "    plt.show()\n",
    "    \n",
    "    plt.style.use('seaborn-ticks')\n",
    "    fig, ax = plt.subplots(figsize = (15, 10))\n",
    "    plt.bar(preds['date'], preds['total'] - test['total'])\n",
    "    plt.title(f'Prediction error - {model.__class__.__name__}', fontsize = 18)\n",
    "    plt.xticks(rotation = 60)\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Linear regression"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "LinearRegression(copy_X=True, fit_intercept=True, n_jobs=None, normalize=False)"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "linreg = linear_model.LinearRegression()\n",
    "linreg.fit(X, y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1.786862450846409, 17.95608404661017)"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "scores = -cross_val_score(linreg, X, y, cv = 10)\n",
    "np.mean(scores), np.var(scores)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1080x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1080x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "viz_model(linreg)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Ridge regression"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Ridge(alpha=50, copy_X=True, fit_intercept=True, max_iter=None, normalize=False,\n",
       "      random_state=None, solver='auto', tol=0.001)"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ridge = linear_model.Ridge(alpha = 50)\n",
    "ridge.fit(X, y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(0.9445876343817361, 2.375575580704106)"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "scores = -cross_val_score(ridge, X, y, cv = 10)\n",
    "np.mean(scores), np.var(scores)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1080x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1080x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "viz_model(ridge)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Support vector machine"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "SVR(C=1, cache_size=200, coef0=0.0, degree=3, epsilon=0.1, gamma=1,\n",
       "    kernel='rbf', max_iter=-1, shrinking=True, tol=0.001, verbose=False)"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sv = svm.SVR(C = 1, gamma = 1, kernel = 'rbf')\n",
    "sv.fit(X, y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(0.7360432847786345, 0.6988873320862303)"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "scores = -cross_val_score(sv, X, y, cv = 10)\n",
    "np.mean(scores), np.var(scores)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1080x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1080x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "viz_model(sv)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Random forest"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "RandomForestRegressor(bootstrap=True, criterion='mse', max_depth=None,\n",
       "                      max_features='auto', max_leaf_nodes=None,\n",
       "                      min_impurity_decrease=0.0, min_impurity_split=None,\n",
       "                      min_samples_leaf=1, min_samples_split=2,\n",
       "                      min_weight_fraction_leaf=0.0, n_estimators=100,\n",
       "                      n_jobs=None, oob_score=False, random_state=None,\n",
       "                      verbose=0, warm_start=False)"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "forest = ensemble.RandomForestRegressor(n_estimators = 100)\n",
    "forest.fit(X, y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(0.28978204130413043, 0.26718186414004014)"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "scores = -cross_val_score(forest, X, y, cv = 10)\n",
    "np.mean(scores), np.var(scores)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1080x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1080x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "viz_model(forest)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('day_of_year', 0.1353973005273301),\n",
       " ('temp_min', 0.13110051599779857),\n",
       " ('gust_avg', 0.08207591585335307),\n",
       " ('humidity', 0.07688449019487029),\n",
       " ('day_of_week', 0.06805828456457),\n",
       " ('temp_night', 0.06272421794800907),\n",
       " ('temp_avg', 0.055750171636496045),\n",
       " ('day_of_month', 0.05479512220938483),\n",
       " ('season', 0.051791649280165185),\n",
       " ('gust_max', 0.047848223378921965),\n",
       " ('temp_day', 0.04655087450276322),\n",
       " ('precip_intensity_avg', 0.03842031373325576),\n",
       " ('wind_speed_max', 0.03468686220662365),\n",
       " ('temp_max', 0.03135192779540042),\n",
       " ('wind_speed_avg', 0.02762129924779927),\n",
       " ('precip_intensity_max', 0.021452106534990214),\n",
       " ('month', 0.02101154108460683),\n",
       " ('event', 0.010169613120212662),\n",
       " ('year', 0.002309570183448804)]"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "feat_imps = dict(list(zip(forest.feature_importances_, X.columns)))\n",
    "[(feat_imps[i], i) for i in sorted(feat_imps, reverse = True)]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Multilayered Perceptron"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "MLPRegressor(activation='relu', alpha=0.0003, batch_size='auto', beta_1=0.9,\n",
       "             beta_2=0.999, early_stopping=True, epsilon=1e-08,\n",
       "             hidden_layer_sizes=(64,), learning_rate='constant',\n",
       "             learning_rate_init=0.001, max_iter=2000, momentum=0.9,\n",
       "             n_iter_no_change=10, nesterovs_momentum=True, power_t=0.5,\n",
       "             random_state=None, shuffle=True, solver='adam', tol=0.0001,\n",
       "             validation_fraction=0.1, verbose=False, warm_start=False)"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nn = neural_network.MLPRegressor(max_iter = 2000, alpha = 3e-4, hidden_layer_sizes = (64,),\n",
    "                                early_stopping = True)\n",
    "nn.fit(X, y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1.8799778151037683, 3.079651283061053)"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "scores = -cross_val_score(nn, X, y, cv = 10)\n",
    "np.mean(scores), np.var(scores)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1080x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1080x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "viz_model(nn)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}