Machine-Learning_group-project.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "TgUd25L8djhy"
   },
   "source": [
    " # Group Project - Predict a movie's rating\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "colab_type": "text",
    "id": "_a12qwyOdjh0"
   },
   "source": [
    "**Dataset:** https://www.kaggle.com/tmdb/tmdb-movie-metadata\n",
    "    \n",
    "**Questions**\n",
    "\n",
    "     1. How many movies are there in the dataset? And how many features?\n",
    "     2. Are there variables that are not independent of each other?\n",
    "     3. Which regression technique led to the best results?\n",
    "     4. What are the factors that most contribute to the success of a film?\n",
    "     5. Would you recommend your model to a film production company?  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "moKnhyYfdjh2"
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import ast\n",
    "\n",
    "import scipy.stats as stats\n",
    "from scipy.stats import pearsonr, spearmanr\n",
    "\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.linear_model import LinearRegression\n",
    "from sklearn.metrics import r2_score\n",
    "from sklearn.preprocessing import MinMaxScaler\n",
    "from sklearn.preprocessing import PolynomialFeatures\n",
    "from sklearn.preprocessing import OrdinalEncoder\n",
    "from sklearn.preprocessing import OneHotEncoder\n",
    "from category_encoders import BinaryEncoder\n",
    "from sklearn.impute import SimpleImputer\n",
    "from sklearn.preprocessing import MultiLabelBinarizer\n",
    "\n",
    "from sklearn.preprocessing import KBinsDiscretizer\n",
    "\n",
    "import numpy as np\n",
    "\n",
    "pd.options.mode.chained_assignment = None\n",
    "\n",
    "seed = 42"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "colab": {},
    "colab_type": "code",
    "id": "31IJrPzbdjh8"
   },
   "outputs": [],
   "source": [
    "df = pd.read_csv('data/tmdb_5000_movies.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "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>budget</th>\n",
       "      <th>genres</th>\n",
       "      <th>homepage</th>\n",
       "      <th>id</th>\n",
       "      <th>keywords</th>\n",
       "      <th>original_language</th>\n",
       "      <th>original_title</th>\n",
       "      <th>overview</th>\n",
       "      <th>popularity</th>\n",
       "      <th>production_companies</th>\n",
       "      <th>production_countries</th>\n",
       "      <th>release_date</th>\n",
       "      <th>revenue</th>\n",
       "      <th>runtime</th>\n",
       "      <th>spoken_languages</th>\n",
       "      <th>status</th>\n",
       "      <th>tagline</th>\n",
       "      <th>title</th>\n",
       "      <th>vote_average</th>\n",
       "      <th>vote_count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>237000000</td>\n",
       "      <td>[{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...</td>\n",
       "      <td>http://www.avatarmovie.com/</td>\n",
       "      <td>19995</td>\n",
       "      <td>[{\"id\": 1463, \"name\": \"culture clash\"}, {\"id\":...</td>\n",
       "      <td>en</td>\n",
       "      <td>Avatar</td>\n",
       "      <td>In the 22nd century, a paraplegic Marine is di...</td>\n",
       "      <td>150.437577</td>\n",
       "      <td>[{\"name\": \"Ingenious Film Partners\", \"id\": 289...</td>\n",
       "      <td>[{\"iso_3166_1\": \"US\", \"name\": \"United States o...</td>\n",
       "      <td>2009-12-10</td>\n",
       "      <td>2787965087</td>\n",
       "      <td>162.0</td>\n",
       "      <td>[{\"iso_639_1\": \"en\", \"name\": \"English\"}, {\"iso...</td>\n",
       "      <td>Released</td>\n",
       "      <td>Enter the World of Pandora.</td>\n",
       "      <td>Avatar</td>\n",
       "      <td>7.2</td>\n",
       "      <td>11800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>300000000</td>\n",
       "      <td>[{\"id\": 12, \"name\": \"Adventure\"}, {\"id\": 14, \"...</td>\n",
       "      <td>http://disney.go.com/disneypictures/pirates/</td>\n",
       "      <td>285</td>\n",
       "      <td>[{\"id\": 270, \"name\": \"ocean\"}, {\"id\": 726, \"na...</td>\n",
       "      <td>en</td>\n",
       "      <td>Pirates of the Caribbean: At World's End</td>\n",
       "      <td>Captain Barbossa, long believed to be dead, ha...</td>\n",
       "      <td>139.082615</td>\n",
       "      <td>[{\"name\": \"Walt Disney Pictures\", \"id\": 2}, {\"...</td>\n",
       "      <td>[{\"iso_3166_1\": \"US\", \"name\": \"United States o...</td>\n",
       "      <td>2007-05-19</td>\n",
       "      <td>961000000</td>\n",
       "      <td>169.0</td>\n",
       "      <td>[{\"iso_639_1\": \"en\", \"name\": \"English\"}]</td>\n",
       "      <td>Released</td>\n",
       "      <td>At the end of the world, the adventure begins.</td>\n",
       "      <td>Pirates of the Caribbean: At World's End</td>\n",
       "      <td>6.9</td>\n",
       "      <td>4500</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      budget                                             genres  \\\n",
       "0  237000000  [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...   \n",
       "1  300000000  [{\"id\": 12, \"name\": \"Adventure\"}, {\"id\": 14, \"...   \n",
       "\n",
       "                                       homepage     id  \\\n",
       "0                   http://www.avatarmovie.com/  19995   \n",
       "1  http://disney.go.com/disneypictures/pirates/    285   \n",
       "\n",
       "                                            keywords original_language  \\\n",
       "0  [{\"id\": 1463, \"name\": \"culture clash\"}, {\"id\":...                en   \n",
       "1  [{\"id\": 270, \"name\": \"ocean\"}, {\"id\": 726, \"na...                en   \n",
       "\n",
       "                             original_title  \\\n",
       "0                                    Avatar   \n",
       "1  Pirates of the Caribbean: At World's End   \n",
       "\n",
       "                                            overview  popularity  \\\n",
       "0  In the 22nd century, a paraplegic Marine is di...  150.437577   \n",
       "1  Captain Barbossa, long believed to be dead, ha...  139.082615   \n",
       "\n",
       "                                production_companies  \\\n",
       "0  [{\"name\": \"Ingenious Film Partners\", \"id\": 289...   \n",
       "1  [{\"name\": \"Walt Disney Pictures\", \"id\": 2}, {\"...   \n",
       "\n",
       "                                production_countries release_date     revenue  \\\n",
       "0  [{\"iso_3166_1\": \"US\", \"name\": \"United States o...   2009-12-10  2787965087   \n",
       "1  [{\"iso_3166_1\": \"US\", \"name\": \"United States o...   2007-05-19   961000000   \n",
       "\n",
       "   runtime                                   spoken_languages    status  \\\n",
       "0    162.0  [{\"iso_639_1\": \"en\", \"name\": \"English\"}, {\"iso...  Released   \n",
       "1    169.0           [{\"iso_639_1\": \"en\", \"name\": \"English\"}]  Released   \n",
       "\n",
       "                                          tagline  \\\n",
       "0                     Enter the World of Pandora.   \n",
       "1  At the end of the world, the adventure begins.   \n",
       "\n",
       "                                      title  vote_average  vote_count  \n",
       "0                                    Avatar           7.2       11800  \n",
       "1  Pirates of the Caribbean: At World's End           6.9        4500  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Index(['budget', 'genres', 'homepage', 'id', 'keywords', 'original_language',\n",
      "       'original_title', 'overview', 'popularity', 'production_companies',\n",
      "       'production_countries', 'release_date', 'revenue', 'runtime',\n",
      "       'spoken_languages', 'status', 'tagline', 'title', 'vote_average',\n",
      "       'vote_count'],\n",
      "      dtype='object')\n"
     ]
    }
   ],
   "source": [
    "print(df.columns)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "budget                    int64\n",
       "genres                   object\n",
       "homepage                 object\n",
       "id                        int64\n",
       "keywords                 object\n",
       "original_language        object\n",
       "original_title           object\n",
       "overview                 object\n",
       "popularity              float64\n",
       "production_companies     object\n",
       "production_countries     object\n",
       "release_date             object\n",
       "revenue                   int64\n",
       "runtime                 float64\n",
       "spoken_languages         object\n",
       "status                   object\n",
       "tagline                  object\n",
       "title                    object\n",
       "vote_average            float64\n",
       "vote_count                int64\n",
       "dtype: object"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = df[['budget', 'original_language', 'popularity', 'genres', 'production_companies', 'release_date', 'revenue', 'runtime', 'vote_count', 'vote_average', 'keywords']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "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>vote_average</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>7.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>6.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>6.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>7.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>6.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4798</th>\n",
       "      <td>6.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4799</th>\n",
       "      <td>5.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4800</th>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4801</th>\n",
       "      <td>5.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4802</th>\n",
       "      <td>6.3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>4803 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      vote_average\n",
       "0              7.2\n",
       "1              6.9\n",
       "2              6.3\n",
       "3              7.6\n",
       "4              6.1\n",
       "...            ...\n",
       "4798           6.6\n",
       "4799           5.9\n",
       "4800           7.0\n",
       "4801           5.7\n",
       "4802           6.3\n",
       "\n",
       "[4803 rows x 1 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Visualização da nossa variável target\n",
    "data['vote_average'].to_frame()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### View `original_language`"
   ]
  },
  {
   "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>original_language</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>en</th>\n",
       "      <td>4505</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fr</th>\n",
       "      <td>70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>es</th>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>zh</th>\n",
       "      <td>27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>de</th>\n",
       "      <td>27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>hi</th>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ja</th>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>it</th>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cn</th>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ru</th>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ko</th>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pt</th>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>da</th>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sv</th>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>nl</th>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fa</th>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>th</th>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>he</th>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ta</th>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cs</th>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ro</th>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>id</th>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ar</th>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>vi</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sl</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ps</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>no</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ky</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>hu</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pl</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>af</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>nb</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tr</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>is</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>xx</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>te</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>el</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    original_language\n",
       "en               4505\n",
       "fr                 70\n",
       "es                 32\n",
       "zh                 27\n",
       "de                 27\n",
       "hi                 19\n",
       "ja                 16\n",
       "it                 14\n",
       "cn                 12\n",
       "ru                 11\n",
       "ko                 11\n",
       "pt                  9\n",
       "da                  7\n",
       "sv                  5\n",
       "nl                  4\n",
       "fa                  4\n",
       "th                  3\n",
       "he                  3\n",
       "ta                  2\n",
       "cs                  2\n",
       "ro                  2\n",
       "id                  2\n",
       "ar                  2\n",
       "vi                  1\n",
       "sl                  1\n",
       "ps                  1\n",
       "no                  1\n",
       "ky                  1\n",
       "hu                  1\n",
       "pl                  1\n",
       "af                  1\n",
       "nb                  1\n",
       "tr                  1\n",
       "is                  1\n",
       "xx                  1\n",
       "te                  1\n",
       "el                  1"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['original_language'].value_counts().to_frame()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['[{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"name\": \"Adventure\"}, {\"id\": 14, \"name\": \"Fantasy\"}, {\"id\": 878, \"name\": \"Science Fiction\"}]',\n",
       "       '[{\"id\": 12, \"name\": \"Adventure\"}, {\"id\": 14, \"name\": \"Fantasy\"}, {\"id\": 28, \"name\": \"Action\"}]',\n",
       "       '[{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"name\": \"Adventure\"}, {\"id\": 80, \"name\": \"Crime\"}]',\n",
       "       ...,\n",
       "       '[{\"id\": 53, \"name\": \"Thriller\"}, {\"id\": 27, \"name\": \"Horror\"}, {\"id\": 35, \"name\": \"Comedy\"}]',\n",
       "       '[{\"id\": 10769, \"name\": \"Foreign\"}, {\"id\": 53, \"name\": \"Thriller\"}]',\n",
       "       '[{\"id\": 35, \"name\": \"Comedy\"}, {\"id\": 18, \"name\": \"Drama\"}, {\"id\": 10749, \"name\": \"Romance\"}, {\"id\": 10770, \"name\": \"TV Movie\"}]'],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['genres'].unique()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Note:** The group found it interesting to work with the `genres` and `production_companies` variables, for that purpose the necessary information was extracted from these variables that were written in json."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Transformation of variables"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### a) Genres & Production Companies"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'[{\"id\": 28, \"name\": \"Action\"}, {\"id\": 80, \"name\": \"Crime\"}, {\"id\": 53, \"name\": \"Thriller\"}]'"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[\"genres\"][500]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'[{\"name\": \"Mikona Productions GmbH & Co. KG\", \"id\": 24}, {\"name\": \"Universal Pictures\", \"id\": 33}, {\"name\": \"Original Film\", \"id\": 333}, {\"name\": \"Ardustry Entertainment\", \"id\": 26281}]'"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[\"production_companies\"][500]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Para criar uma lista com todos os ´values´ da key 'name' (ou seja, no caso de aplicado à variável genre, vai devolver uma lista de todos os generos para cada observação).\n",
    "\n",
    "def converter(obj):\n",
    "    L = []\n",
    "    for i in ast.literal_eval(obj):\n",
    "        L.append(i['name'])\n",
    "    return L"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "data['genres_1'] = data['genres'].apply(converter)\n",
    "data['production_companies_1'] = data['production_companies'].apply(converter)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "# To create MultiLabelBinarizer object\n",
    "\n",
    "mlb = MultiLabelBinarizer()\n",
    "\n",
    "# fit and transform genres_1 \n",
    "ohe_df = pd.DataFrame(mlb.fit_transform(data['genres_1']), columns=mlb.classes_)\n",
    "\n",
    "# concatenate the OHE dataframe with the original dataframe\n",
    "data = pd.concat([data, ohe_df], axis=1)"
   ]
  },
  {
   "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>budget</th>\n",
       "      <th>original_language</th>\n",
       "      <th>popularity</th>\n",
       "      <th>genres</th>\n",
       "      <th>production_companies</th>\n",
       "      <th>release_date</th>\n",
       "      <th>revenue</th>\n",
       "      <th>runtime</th>\n",
       "      <th>vote_count</th>\n",
       "      <th>vote_average</th>\n",
       "      <th>...</th>\n",
       "      <th>History</th>\n",
       "      <th>Horror</th>\n",
       "      <th>Music</th>\n",
       "      <th>Mystery</th>\n",
       "      <th>Romance</th>\n",
       "      <th>Science Fiction</th>\n",
       "      <th>TV Movie</th>\n",
       "      <th>Thriller</th>\n",
       "      <th>War</th>\n",
       "      <th>Western</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>237000000</td>\n",
       "      <td>en</td>\n",
       "      <td>150.437577</td>\n",
       "      <td>[{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...</td>\n",
       "      <td>[{\"name\": \"Ingenious Film Partners\", \"id\": 289...</td>\n",
       "      <td>2009-12-10</td>\n",
       "      <td>2787965087</td>\n",
       "      <td>162.0</td>\n",
       "      <td>11800</td>\n",
       "      <td>7.2</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>300000000</td>\n",
       "      <td>en</td>\n",
       "      <td>139.082615</td>\n",
       "      <td>[{\"id\": 12, \"name\": \"Adventure\"}, {\"id\": 14, \"...</td>\n",
       "      <td>[{\"name\": \"Walt Disney Pictures\", \"id\": 2}, {\"...</td>\n",
       "      <td>2007-05-19</td>\n",
       "      <td>961000000</td>\n",
       "      <td>169.0</td>\n",
       "      <td>4500</td>\n",
       "      <td>6.9</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2 rows × 33 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      budget original_language  popularity  \\\n",
       "0  237000000                en  150.437577   \n",
       "1  300000000                en  139.082615   \n",
       "\n",
       "                                              genres  \\\n",
       "0  [{\"id\": 28, \"name\": \"Action\"}, {\"id\": 12, \"nam...   \n",
       "1  [{\"id\": 12, \"name\": \"Adventure\"}, {\"id\": 14, \"...   \n",
       "\n",
       "                                production_companies release_date     revenue  \\\n",
       "0  [{\"name\": \"Ingenious Film Partners\", \"id\": 289...   2009-12-10  2787965087   \n",
       "1  [{\"name\": \"Walt Disney Pictures\", \"id\": 2}, {\"...   2007-05-19   961000000   \n",
       "\n",
       "   runtime  vote_count  vote_average  ... History Horror Music  Mystery  \\\n",
       "0    162.0       11800           7.2  ...       0      0     0        0   \n",
       "1    169.0        4500           6.9  ...       0      0     0        0   \n",
       "\n",
       "   Romance  Science Fiction  TV Movie  Thriller  War  Western  \n",
       "0        0                1         0         0    0        0  \n",
       "1        0                0         0         0    0        0  \n",
       "\n",
       "[2 rows x 33 columns]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Function that returns the number of `names` (when applied to the genre variable, if we have 4 different genres in a given observation, it will return 4)\n",
    "\n",
    "def n_lista(lista):\n",
    "    return len(lista)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "data[\"n_genres\"] =  data['genres_1'].apply(n_lista)\n",
    "data[\"n_production_companies\"] =  data['production_companies_1'].apply(n_lista)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['budget', 'original_language', 'popularity', 'genres',\n",
       "       'production_companies', 'release_date', 'revenue', 'runtime',\n",
       "       'vote_count', 'vote_average', 'keywords', 'genres_1',\n",
       "       'production_companies_1', 'Action', 'Adventure', 'Animation', 'Comedy',\n",
       "       'Crime', 'Documentary', 'Drama', 'Family', 'Fantasy', 'Foreign',\n",
       "       'History', 'Horror', 'Music', 'Mystery', 'Romance', 'Science Fiction',\n",
       "       'TV Movie', 'Thriller', 'War', 'Western', 'n_genres',\n",
       "       'n_production_companies'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.columns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Note:** Here what the group did was create a variable with the number of different genres for each observation (film) in our dataset, and another variable with the number of companies involved in each observation (film) in our dataset . The idea is to try to understand if one or both variables have some predictive power in our model (thus improving its accuracy)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Eliminamos as originais que nos levaram à criação das novas variáveis\n",
    "\n",
    "data.drop('genres_1', axis=1, inplace = True)\n",
    "data.drop('genres', axis=1, inplace = True)\n",
    "data.drop('production_companies', axis=1, inplace = True)\n",
    "data.drop('production_companies_1', axis=1, inplace = True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### b) `release_date` to `year_released` "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "data[\"release_date\"] = data[\"release_date\"].dropna()\n",
    "data[\"year_released\"] = data[\"release_date\"].astype(\"string\").str[:4]\n",
    "data[\"year_released\"] = pd.to_numeric(data[\"year_released\"], errors=\"coerce\").fillna(0).astype(int)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2009    247\n",
       "2014    238\n",
       "2006    237\n",
       "2013    231\n",
       "2008    227\n",
       "       ... \n",
       "0         1\n",
       "1932      1\n",
       "1916      1\n",
       "1934      1\n",
       "1925      1\n",
       "Name: year_released, Length: 91, dtype: int64"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[\"year_released\"].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "data.drop(data[data['year_released'] == 0].index, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2009    247\n",
       "2014    238\n",
       "2006    237\n",
       "2013    231\n",
       "2008    227\n",
       "       ... \n",
       "1935      1\n",
       "1932      1\n",
       "1916      1\n",
       "1934      1\n",
       "1925      1\n",
       "Name: year_released, Length: 90, dtype: int64"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[\"year_released\"].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "# To delete `release_date`, we no longer need it\n",
    "\n",
    "data.drop('release_date', axis=1, inplace = True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### c) `is_english`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "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>budget</th>\n",
       "      <th>original_language</th>\n",
       "      <th>popularity</th>\n",
       "      <th>revenue</th>\n",
       "      <th>runtime</th>\n",
       "      <th>vote_count</th>\n",
       "      <th>vote_average</th>\n",
       "      <th>keywords</th>\n",
       "      <th>Action</th>\n",
       "      <th>Adventure</th>\n",
       "      <th>...</th>\n",
       "      <th>Mystery</th>\n",
       "      <th>Romance</th>\n",
       "      <th>Science Fiction</th>\n",
       "      <th>TV Movie</th>\n",
       "      <th>Thriller</th>\n",
       "      <th>War</th>\n",
       "      <th>Western</th>\n",
       "      <th>n_genres</th>\n",
       "      <th>n_production_companies</th>\n",
       "      <th>year_released</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>237000000</td>\n",
       "      <td>en</td>\n",
       "      <td>150.437577</td>\n",
       "      <td>2787965087</td>\n",
       "      <td>162.0</td>\n",
       "      <td>11800</td>\n",
       "      <td>7.2</td>\n",
       "      <td>[{\"id\": 1463, \"name\": \"culture clash\"}, {\"id\":...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>2009</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>300000000</td>\n",
       "      <td>en</td>\n",
       "      <td>139.082615</td>\n",
       "      <td>961000000</td>\n",
       "      <td>169.0</td>\n",
       "      <td>4500</td>\n",
       "      <td>6.9</td>\n",
       "      <td>[{\"id\": 270, \"name\": \"ocean\"}, {\"id\": 726, \"na...</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>2007</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2 rows × 31 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      budget original_language  popularity     revenue  runtime  vote_count  \\\n",
       "0  237000000                en  150.437577  2787965087    162.0       11800   \n",
       "1  300000000                en  139.082615   961000000    169.0        4500   \n",
       "\n",
       "   vote_average                                           keywords  Action  \\\n",
       "0           7.2  [{\"id\": 1463, \"name\": \"culture clash\"}, {\"id\":...       1   \n",
       "1           6.9  [{\"id\": 270, \"name\": \"ocean\"}, {\"id\": 726, \"na...       1   \n",
       "\n",
       "   Adventure  ...  Mystery  Romance  Science Fiction  TV Movie  Thriller  War  \\\n",
       "0          1  ...        0        0                1         0         0    0   \n",
       "1          1  ...        0        0                0         0         0    0   \n",
       "\n",
       "   Western  n_genres  n_production_companies  year_released  \n",
       "0        0         4                       4           2009  \n",
       "1        0         3                       3           2007  \n",
       "\n",
       "[2 rows x 31 columns]"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0       1\n",
       "1       1\n",
       "2       1\n",
       "3       1\n",
       "4       1\n",
       "       ..\n",
       "4798    0\n",
       "4799    1\n",
       "4800    1\n",
       "4801    1\n",
       "4802    1\n",
       "Name: is_english, Length: 4802, dtype: int64"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['is_english'] = data['original_language'] == 'en'\n",
    "data['is_english'] = data['is_english'].astype(int)\n",
    "data['is_english']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Drop `original_language`\n",
    "\n",
    "data.drop('original_language', axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### d) `Keywords`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    .dataframe thead th {\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>keywords</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>[{\"id\": 1463, \"name\": \"culture clash\"}, {\"id\":...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>[{\"id\": 270, \"name\": \"ocean\"}, {\"id\": 726, \"na...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>[{\"id\": 470, \"name\": \"spy\"}, {\"id\": 818, \"name...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>[{\"id\": 849, \"name\": \"dc comics\"}, {\"id\": 853,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>[{\"id\": 818, \"name\": \"based on novel\"}, {\"id\":...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4798</th>\n",
       "      <td>[{\"id\": 5616, \"name\": \"united states\\u2013mexi...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4799</th>\n",
       "      <td>[]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4800</th>\n",
       "      <td>[{\"id\": 248, \"name\": \"date\"}, {\"id\": 699, \"nam...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4801</th>\n",
       "      <td>[]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4802</th>\n",
       "      <td>[{\"id\": 1523, \"name\": \"obsession\"}, {\"id\": 224...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>4802 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                               keywords\n",
       "0     [{\"id\": 1463, \"name\": \"culture clash\"}, {\"id\":...\n",
       "1     [{\"id\": 270, \"name\": \"ocean\"}, {\"id\": 726, \"na...\n",
       "2     [{\"id\": 470, \"name\": \"spy\"}, {\"id\": 818, \"name...\n",
       "3     [{\"id\": 849, \"name\": \"dc comics\"}, {\"id\": 853,...\n",
       "4     [{\"id\": 818, \"name\": \"based on novel\"}, {\"id\":...\n",
       "...                                                 ...\n",
       "4798  [{\"id\": 5616, \"name\": \"united states\\u2013mexi...\n",
       "4799                                                 []\n",
       "4800  [{\"id\": 248, \"name\": \"date\"}, {\"id\": 699, \"nam...\n",
       "4801                                                 []\n",
       "4802  [{\"id\": 1523, \"name\": \"obsession\"}, {\"id\": 224...\n",
       "\n",
       "[4802 rows x 1 columns]"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['keywords'].to_frame()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "data['keywords_1'] = data['keywords'].apply(converter)\n",
    "data[\"n_keywords\"] =  data['keywords_1'].apply(n_lista)\n",
    "data.drop('keywords', axis=1, inplace = True)\n",
    "data.drop('keywords_1', axis=1, inplace = True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### e) Target - `vote_average` "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:ylabel='Frequency'>"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data['vote_average'].plot.hist(bins=3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "data['vote_average_target'] = data['vote_average']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "data.drop('vote_average', axis=1, inplace = True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 1. How many movies are there in the dataset? And how many features?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Initial dataset: (4803, 20)\n",
      "Selected dataset (after feature selection): (4802, 31)\n"
     ]
    }
   ],
   "source": [
    "print('Initial dataset:', df.shape)\n",
    "print('Selected dataset (after feature selection):', data.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "budget                    0\n",
       "popularity                0\n",
       "revenue                   0\n",
       "runtime                   2\n",
       "vote_count                0\n",
       "Action                    0\n",
       "Adventure                 0\n",
       "Animation                 0\n",
       "Comedy                    0\n",
       "Crime                     0\n",
       "Documentary               0\n",
       "Drama                     0\n",
       "Family                    0\n",
       "Fantasy                   0\n",
       "Foreign                   0\n",
       "History                   0\n",
       "Horror                    0\n",
       "Music                     0\n",
       "Mystery                   0\n",
       "Romance                   0\n",
       "Science Fiction           0\n",
       "TV Movie                  0\n",
       "Thriller                  0\n",
       "War                       0\n",
       "Western                   0\n",
       "n_genres                  0\n",
       "n_production_companies    0\n",
       "year_released             0\n",
       "is_english                0\n",
       "n_keywords                0\n",
       "vote_average_target       0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.isnull().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As we can see above, in our initial dataset, the one given to us by the teacher has 4803 movies (4803 observations), and 20 features. After having carried out the feature selection, that is, selecting the variables with which we want to work, we were left with a dataset with 4803 films, and 9 features.\n",
    "\n",
    "- We have a variable with missing values - `runtime`, for this variable the observations (2) with missing values will be removed."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='runtime', ylabel='vote_average'>"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.scatterplot(x = 'runtime', y = 'vote_average', data = df)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1.1. Handle `runtime` missing values\n",
    "\n",
    "**Technique:** Drop NaN"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "data.dropna(subset=['runtime'], axis=0, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['runtime'].isnull().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 2. Are there variables that are not independent of each other?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['budget', 'popularity', 'revenue', 'runtime', 'vote_count', 'Action',\n",
       "       'Adventure', 'Animation', 'Comedy', 'Crime', 'Documentary', 'Drama',\n",
       "       'Family', 'Fantasy', 'Foreign', 'History', 'Horror', 'Music', 'Mystery',\n",
       "       'Romance', 'Science Fiction', 'TV Movie', 'Thriller', 'War', 'Western',\n",
       "       'n_genres', 'n_production_companies', 'year_released', 'is_english',\n",
       "       'n_keywords', 'vote_average_target'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Check the variables in our dataset\n",
    "\n",
    "data.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 4000x2000 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Let's first visualize the movie genre variables, because there are many, so first let's visualize their correlation, choose those with a low correlation between them and a stronger correlation with the target.\n",
    "\n",
    "fig = plt.figure(figsize = (40, 20))\n",
    "sns.heatmap(data.corr(), \n",
    "            cmap='bwr',\n",
    "            square=True, \n",
    "            annot = True,\n",
    "            mask=np.triu(data.corr().notnull().round(2))\n",
    "           );"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "budget -- > PearsonRResult(statistic=0.0922244652626006, pvalue=1.538778528502586e-10)\n",
      "popularity -- > PearsonRResult(statistic=0.27421224612916106, pvalue=1.5119212506921508e-83)\n",
      "revenue -- > PearsonRResult(statistic=0.19729110188821125, pvalue=2.5125401788974747e-43)\n",
      "runtime -- > PearsonRResult(statistic=0.37188792563872364, pvalue=2.5640086655146386e-157)\n",
      "vote_count -- > PearsonRResult(statistic=0.31369277133643547, pvalue=4.3527677800124215e-110)\n",
      "Action -- > PearsonRResult(statistic=-0.049687323437694594, pvalue=0.0005738773844759271)\n",
      "Adventure -- > PearsonRResult(statistic=0.023347591957587212, pvalue=0.10579891687538806)\n",
      "Animation -- > PearsonRResult(statistic=0.04705682268746483, pvalue=0.0011096143194630028)\n",
      "Comedy -- > PearsonRResult(statistic=-0.09371083055197652, pvalue=7.763947217223123e-11)\n",
      "Crime -- > PearsonRResult(statistic=0.06227228106694213, pvalue=1.578658121255718e-05)\n",
      "Documentary -- > PearsonRResult(statistic=0.025779432673797543, pvalue=0.07411818919777383)\n",
      "Drama -- > PearsonRResult(statistic=0.23671444575909265, pvalue=4.03867897761934e-62)\n",
      "Family -- > PearsonRResult(statistic=-0.018873147871217657, pvalue=0.19109525577778677)\n",
      "Fantasy -- > PearsonRResult(statistic=0.0005867386181860612, pvalue=0.9675830066498569)\n",
      "Foreign -- > PearsonRResult(statistic=0.018373387124637874, pvalue=0.20311688960019234)\n",
      "History -- > PearsonRResult(statistic=0.10887368972027184, pvalue=3.9231206973597587e-14)\n",
      "Horror -- > PearsonRResult(statistic=-0.13709769610927636, pvalue=1.4144120892355325e-21)\n",
      "Music -- > PearsonRResult(statistic=0.04401463272140712, pvalue=0.0022875978559145985)\n",
      "Mystery -- > PearsonRResult(statistic=0.021046799219658484, pvalue=0.1448552275683204)\n",
      "Romance -- > PearsonRResult(statistic=0.045600903386229866, pvalue=0.0015769102815447419)\n",
      "Science Fiction -- > PearsonRResult(statistic=-0.02648341932824129, pvalue=0.06655474749984211)\n",
      "TV Movie -- > PearsonRResult(statistic=-0.014853319048900764, pvalue=0.3035469414464988)\n",
      "Thriller -- > PearsonRResult(statistic=-0.04222459685888645, pvalue=0.0034340739421485356)\n",
      "War -- > PearsonRResult(statistic=0.09167743397379549, pvalue=1.9740218578238509e-10)\n",
      "Western -- > PearsonRResult(statistic=0.009274268616838244, pvalue=0.5206221697772903)\n",
      "n_genres -- > PearsonRResult(statistic=0.08254585559960768, pvalue=1.0208321153980157e-08)\n",
      "n_production_companies -- > PearsonRResult(statistic=0.15269629882382008, pvalue=1.9665243090175252e-26)\n",
      "year_released -- > PearsonRResult(statistic=-0.198239991145057, pvalue=9.797246576823301e-44)\n",
      "is_english -- > PearsonRResult(statistic=-0.08546801820839722, pvalue=3.0162795322259116e-09)\n",
      "n_keywords -- > PearsonRResult(statistic=0.28835532978283873, pvalue=1.4303138404848988e-92)\n",
      "vote_average_target -- > PearsonRResult(statistic=0.9999999999999917, pvalue=0.0)\n"
     ]
    }
   ],
   "source": [
    "for col in data.columns:\n",
    "    \n",
    "    corr_pearson = stats.pearsonr(data[col], data['vote_average_target'])\n",
    "    \n",
    "    print(f'{col} -- > {corr_pearson}')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- As we can see above, the `budget` variable has a strong correlation with the `revenue` variable (0.73);\n",
    "\n",
    "- `revenue` is strongly correlated with the `popularity` variable (0.64) - for this reason we will drop the `revenue` variable.\n",
    "\n",
    "- Also the variable `populariy` is strongly correlated with the variable `vote_count` (0.78), for this reason it will also be eliminated.\n",
    "\n",
    "- Finally, we `drop` the `n_genres` variable, due to its weak correlation with the target variable, and due to its relationship with the dummys related to the Genre.\n",
    "\n",
    "- Although some dummy variables related to the film's genre are not correlated with the target variable (p-value>0.05), it was decided not to eliminate them since they provided important information to the forecast models."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [],
   "source": [
    "data.drop(columns = ['revenue', 'popularity', 'n_genres'], axis=1, inplace = True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- We eliminated the `vote_count` variable due to the information it was giving to the target variable (vote_average)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [],
   "source": [
    "data.drop(\"vote_count\", axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Split dataset into training and test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [],
   "source": [
    "train_set, test_set = train_test_split(data, test_size = 0.2, random_state = seed)\n",
    "\n",
    "X_train = train_set.drop(['vote_average_target'], axis = 1)\n",
    "y_train = train_set['vote_average_target']\n",
    "\n",
    "X_test = test_set.drop(['vote_average_target'], axis = 1)\n",
    "y_test = test_set['vote_average_target']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 3. Which regression technique led to the best results?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Index(['budget', 'runtime', 'Action', 'Adventure', 'Animation', 'Comedy',\n",
      "       'Crime', 'Documentary', 'Drama', 'Family', 'Fantasy', 'Foreign',\n",
      "       'History', 'Horror', 'Music', 'Mystery', 'Romance', 'Science Fiction',\n",
      "       'TV Movie', 'Thriller', 'War', 'Western', 'n_production_companies',\n",
      "       'year_released', 'is_english', 'n_keywords', 'vote_average_target'],\n",
      "      dtype='object')\n"
     ]
    }
   ],
   "source": [
    "print(data.columns)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [],
   "source": [
    "def adjusted_r2(r2, X):\n",
    "\n",
    "  return (1 - ((1 - r2)* (X.shape[0] - 1)/(X.shape[0] - X.shape[1] - 1)))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3.1. LINEAR REGRESSION"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "R^2 score: 0.30947230332569486\n"
     ]
    }
   ],
   "source": [
    "# Fit linear regression model\n",
    "lr = LinearRegression().fit(X_train, y_train)\n",
    "\n",
    "# Predict on test set\n",
    "y_preds = lr.predict(X_test)\n",
    "\n",
    "# Evaluate the model\n",
    "r2_score = r2_score(y_test, y_preds)\n",
    "print(\"R^2 score:\", r2_score)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.3047637483523059"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "adjusted_r2(r2_score, X_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [],
   "source": [
    "residuals = y_preds - y_test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x7fdc80bc1cd0>"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(y_preds, residuals)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3.2. NON-LINEAR REGRESSION"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3.2.1. POLYNOMIAL REGRESSION"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.metrics import r2_score"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [],
   "source": [
    "poly = PolynomialFeatures(degree=2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train_transformed = poly.fit_transform(X_train)\n",
    "\n",
    "X_test_transformed = poly.fit_transform(X_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [],
   "source": [
    "X_train_transformed = pd.DataFrame(X_train_transformed, columns = poly.get_feature_names_out(X_train.columns))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [],
   "source": [
    "lr = LinearRegression().fit(X_train_transformed, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/meganejunqueira/opt/anaconda3/lib/python3.9/site-packages/sklearn/base.py:450: UserWarning: X does not have valid feature names, but LinearRegression was fitted with feature names\n",
      "  warnings.warn(\n"
     ]
    }
   ],
   "source": [
    "y_preds = lr.predict(X_test_transformed)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.20155710836354146"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "r2 = r2_score(y_test, y_preds)\n",
    "r2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [],
   "source": [
    "residuals = y_preds - y_test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x7fdca29acd00>"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(y_preds, residuals)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3.2.2. RANDOM FOREST REGRESSION"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.metrics import r2_score"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.ensemble import RandomForestRegressor\n",
    "from sklearn.datasets import make_regression"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "R^2 score: 0.26302831066430354\n"
     ]
    }
   ],
   "source": [
    "rf = RandomForestRegressor(n_estimators=100, random_state=seed)\n",
    "\n",
    "rf.fit(X_train, y_train)\n",
    " \n",
    "# Fazer as predições do modelo no conjunto de teste\n",
    "y_pred = rf.predict(X_test)\n",
    " \n",
    "# Calcular o R² score do modelo\n",
    "r2 = r2_score(y_test, y_pred)\n",
    " \n",
    "print(\"R^2 score:\", r2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [],
   "source": [
    "residuals = y_preds - y_test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x7fdc82264820>"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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usYS/X7WNLfivZaH5DGL+h/98QNVz603slcs9AaC74ZyVzeqYDG0fpuaIzJ07F0OGDEFWVhby8/Pxne98B59//rmZL0lENiIurwDokOuhZXlFqcQ52hbwdmkhL7fEIkXM/9h/7LSq++tJ7JXLPZmytBJTdOalWJ3TwmRo+zB1RuS9997D1KlTMWTIEJw/fx4PPfQQrr/+etTU1CAzM9PMlyYimzB7eSXaq2o7tZBXWi4IJ+Z/rNh6EN5sN75s8htaiqpmF1+5cUXKsbBDTgvLd+3D1EBk3bp1IT8vWbIE+fn52LZtG6699lozX5qIbKI1IMCTnopff/tS1DefRU5nN7zZxiyvRFrGUOpRYtTjjaZnGUDMZZhR3g/z1u82NLFXa2AkNS6pHAs75GfYPRnaqtwZK8Q0R6SxsREAkJMjHWH6/X74/f72n5uammIyLqJE+tLHktxsQ7Tvb7RX1Xa4Kg8XzTJAYV6m4TNPRuRHSD2HXfIzzJyti+aYYqdZuliIWSAiCALuvfdejBgxAiUlJZL3mTt3LmbPnh2rIREBSLwvvRKjgjKzZxuivapW+/hn3t6F4X3zYhKcKi0XyMnPSkNZn1xDE3uNyI+Qeg6r8zPM7j4bzTHFbrN0sRCzQGTatGnYsWMH3n///Yj3eeCBB3Dvvfe2/9zU1ISCgoJYDI8SVLx86Y0MHowIymIx2/B2TZ2q+0ldVbcGBGzc85Wqx89/dw/mv7snJsGp0oaBUsJzGYws8Y4mMJLLsbAyP8Ps7rPRHFPsOEsXCzHprPqLX/wCq1atwrvvvosePXpEvJ/b7UZ2dnbIPyKzqEnEm726xrIKCrXWVddixJMbMHHxZkxfUYWJizcrbigX6XmkqhhqL1RHaHm+zXuPm7ph3brqWvx5435V9w2/qhbfr/nv7tX0mrGq5lDaMDCY2bkMaqqe5P5fpHEZVU2lldmVOtEeUxJ1o0dTAxFBEDBt2jS8+uqr2LBhA4qKisx8OUpgesov4+FLb9SBVU3Z6P2v7lT1vq6rrsXUZdL7d4TTkwOg1BEzmM+Thit6dW3/bDy7fpdkuakasQxOK0p8eH/mKCyfPAzPTijF8snDsOCWy+HNjn2Lf7ntBZ6bNBjP6dx6INbbFsTiwiPaY4pdcmdizdSlmalTp2LZsmVYuXIlsrKyUFfXNpXq8XiQnp5u5ktTAtG7nODEL33wEkxephuzVhkzjaumOuLE6XOYv2EPppf3i3ifSNPSkejJAdBSyXHTZT5886l3dVd+hItlt83wJZa2oDL0nRWE2MzWKTWV05uXEstmdbGo1In2mGJ17oxVTA1EFi5cCAD41re+FXL7kiVLcNttt5n50pQgolmPtcOXXktuh1TAJUfNgVV8/bUqZ06WfLAP00b11VyFEi6aHAC1B/vr+l+ERf/epzm3wcgxGCXS5/zLJn/Mcpnkck+iyUuJ1bYFsbjwiPaYkqi9TUwNRGIVrVNiijaxy+ovvZaZHK0zDcEiHVi1BjZA26yI3iqUYNFssa72YL/90AlTghAtYzBCoiYwGi0WFx7RHlPs3tvELDFJViUyQ7TrsVYlzAHacju0tv0OJ3VgjfT6akQKbLRcSXbNSMHoYq/m1wa+PthH+qu4AORmpqK++Zyu589KS474/1xoCxaNDE6V8pviIZfJDtR8bqL92xpxTIl17owdcNM7ciwjplqt2N1V6xWu3u6Wka6+zAhs5G6X0iAzs6JEzVXj+NLuqqtqgiW5gJMtrZL/z4zgVM2smNFLConavC9Wsw1GHFMSbaNHBiLkWEZNtcb6S681aU7PmrXcgdXowEYkXnGqfe5o1uIjHew9GSm4/eoiXFnYVVcgIlcwYXRwqja/SevnXC7QSPTmfbG68DDimBKr3Bk7YCBCjhXNeqzUwTpWX3qtV7h61qzlDqxGBzYi8YpzylJ1pbvR5lmMLvYiy52CpR/ux793H0OzvxUnTp/DM+t3wZvtRpeMFDSePqdq5ifJJR+E5Gam4r37RiK1kzGr2VpmxbR8zuUCDQBx0bwvWrG68EikQCJaDETIsfROtVp9Vaj1CndoUQ682W7UNfkl7+cC0C3bjd/9sBTHTvkVD6x6AoCczFQ88d0SxfenosSHBbdcjmnLt0c8sRuRBKyUaBu8C61ch9Iu6SkoH5CPv1celn29481nse1Ag2EnFq2zYmo+52/X1EUMNKYsrUSXjBQmvF7AIMFemKxKjqY1scvszopqaE2ae7umDi3nAxHvCwCzbhqI4X3zML70YpT1yZU9mbQFNtqCkYfHDlAdpI0Z1B3zJw6WHW80a/FqEm3Fk2uXjBR0k/ldT5w5pxiEiIws2dU6K6b0OR9d7FVs1nXidOTkXSa8kpU4I0KOp3aq1S5lkFpmcpTKdj0ZKfjt976haSanLbCRTsiMxOvR1oBwzCAfnkvSvxYfKc9BS6KtgLaT7/dK8/FqlbpgQ46RJbv7j53W/Jpyn/NNCi311bJT8z5KHAxEKC6omWqNRWdFOeEn1z/eMhhz3ox8olZz0k1PSdZUBqunH0mXjBRdyyiRTpwAsHH3MWz64hiAtr/bsN65qhIqPempmk+40QYhRveTaQ0IWL7loOL9vNnuDq8Z6XNuVAARbx07yRkYiFDCsLKle6ST6yNjB6BrpltyJkdNdYuWwElv2a6auaFIMxhSbcrvf3VnyDLB/Hf3oMuFmR1APqHy9uGFGkevjVFlnXKVK1v21aOuSfkzNnFoT9WvGW0AEa8dO8kZGIhQwrCqpbtcmebUZduxcNJgye3HjQ6c9JbtKvX8UJv8u666NmJFzYnT51QlVK6sOqJ5/GrNKO+H5VsOhQQJeso6ld4PtX+vwrxM1a+pprLGc6GKCEicjp3BErV/ihy7vCcMRChhWNHSPZq8FKMDp2hmeuTaxKspCW0NCJi16hPF11FKqDzefBY5mSloaFZXlqtWTmYK+uV3RrSbyql5P8wIiNXkHYkzTrFs3mcXVlfK2ZGd3hNWzVDCsKKl+2aFJEK5aoUrenVFTmZqxMdqbUkdzUyP1GO1bKvethwhXX6s1XcvzB4Zed32/cEXY+qy7R3GKG4qJ1VNFd6a/ez5gKr344peXU1pNa6mgqyixIf3Z47C8snD8OyEUiyfPAzvzxwVtyfj1oCAZ9fvwhSLK+Xsxg7Vg8E4I0IJJZYt3ddV1+L+f+xUdd+6xjMdHjt7dQ3qm89K3l9P4KQ0IxRJpGRVLcm/RubdlBd7MaQop8PfMCstOWJ7djmTrynCGztqFQOI4FkrqavJnMzUiH8v8blqG1uw7UBDxNkLkd6AWE0FWaL00FhXXYtZq2oi5uMkYv8UwD7Vg8EYiFDCiUVnRa3VKXPe/BTpqcmoKPGpeqyewCl4+l6LE6fPYc4bn+DbA30h75OWHBYj8m6Cl86Sk1wd/oZX9OqKbz71rupAKyczFY+PL0HXzFQs/s8+2fvWNrbgv/9ahR9cWYDG02cxddn2Dq8hF4QEO3qyBeNLL8bCSYM7JO4CbbkcIj1r+LEINKzILdDymmq/f2ZXytmR1dWDUhiIUEIy82Ctpzqlofks7l5aiT/ecjnmvPmp7GNzMlN0txuPNCOk5MUPDuDFDw6ErCHvP9as6rHiSUOuO6yos7sTTvnPq6pekfobKs00BEtNdiEpSX1A9VrVEbxWdQQul/JzywkOyqRyYsTE3ev6X4TthxpDAhw75DVozS0wImjR8pp6vn+J1D/FyurBSJgjQmQwPdUpwoV/M1/dofjY+uZz2HagQdPzB+czeNLb9k1ZPnkY7hheiKw09dcjtRfWkNfsqFXVC8MXNIMxvrS74v1P+c+jS0ZKyKwAIN0pNzxHozUgRMyTkCLmf6htLibSmL/aLjj3QzxZynnns686zLIYvYYv9R7K0ZpbsK66FiOe3ICJizdj+ooqTFy8GSOe3KBp/FpfU8/3L5H6p1hVPSiHMyJEBovmSkJtjoOW15C7mvw/4wbiGz26YMYrVaqfTwDw8Os7US9T4SLyZqdhy756XNGrK1Z9rO7kI25UN6O8HwrzMiWvopWukEcXezF/w248s3637O/hArBi60F0zeiEhtPnVY1PLwHAmJK25aRAQNBVSm3kGr6emQ0tuQVqK6rk6Mln0PLdSMT+KVZUDyrhjAiRwWJxJaH2Kl7N1aTWfWcAqApCAGD7oROYuHgzhs19R/WJ9+sA4RBuHNS9w945kX6n2gubu63Z0dZrZMXWQ6peq7axBWW9jV2my8kMndERh//Cxv2YuHgzJr/8ke7nNmJfGD1VE1pyC7RUVMnR8poird+/eO+fEs6K6kElDESIDKa0qZ0R5q3fpTi9rfZkIJaTmkltIqdIPMG8uHFfyLKBmvX/acu34w/v7NY049D7oixN45Pj86Rh8wPl7UtfADrsRHz6rPbqnnB6Z970BglacguiKVvX+5qihuazUHMO9Wa7Vc3KxCOtm4WajUszRAYTrzgidRE1itL0vNqTgVhOavZ49Zjz5qft/+3zpGHCkALFACMgAPPeibwkI+Wqohz8o1J7abOUmy7zIbVTEoYW5eDev1ZF+WyR6Z1501s1ofb1/rPrK6zZWafqvkqBhtZ8hnXVtZi6TLlaZkb5JZg2qm9CzYSEi0X1oFqcESEyQUWJDzPK+5n2/EpXlOIBWY2jJ1tQUeLDglsuV3UlaZW6xhbZnI9oJLkiT1drterjWpw9H8CLG/cZsiNuOL0Nz0R6qybUzPS5XMDfKw/j9Dl1Mz55nd2y/1/pNaUSgOWCkCQXsOCWyzG9vF9CByEisfJsfOnFHZZAY4mBCJFJtOwVopfUSUVc/z9xRl0eh3g1OWZQd8yfONjQ8RnJyJbu4Y41+zVV3MipbWzBsLnvhMzmGEXPGn54ZUxepvzJXxSehySXWyDSXFGkcH8t+QxqqmUCAtBV5e9PscOlGSKTqJ1WzkrrhJMt+io2wl9Daw+F8CvrMYN8eC5Je58Rpzt20o+VVYeRn5WG9+4biW0HGrC+pg6vfHQIp/za8zm05sSopbWRnVRljDc7DV0ubIAn9zmZt34XLvV2DnmtSH1oklwd82DUONas3PZfbTdkO/bHIHUYiBCZRE2ZXJeMFM0bq4mPlSqx09pD4abLfB2urIPXjuuaWlB/yo/jzWex4F97NY/TCZJcHXNRHh1XjEfGDcTMGwbgpQ/2Yev+BmSmJmOANxu/WfeZqeORasaWkZqMn1/bG9NGqV9SiFQ++2WT+jwYqTyk8NyCYyf9umd/lIJ1sRma/3wAT//gMsAFHDvll8xnsGN/DFKHgQiRSZR2RBUANMiUwWa6k9Hsb1XVZVSk9Wpv1ce1+HXFgA7PE961dM2OWlXdSqORmZqMG0q8+HvlYRNfpaPwK/m6C2XAgws8+PzoKTQHzYhsyq6HJ70TGs+Y13NE6j0+c7YV89bvxqXeLFWzIWr6b2Re6GIrN45Irb6DPx8rq7T/vdT0qpDrcyLVFdmO/TFIHeaIEJlIrkyuS1j30HBZ7k5YcItyiV1wDsCxk9p2uFVTQqm2EkE0o7xfhz4aanRKdmFU/3xdjzWS+HtWHmoMCUIAoK6pxdQgRGlManpvAOoqY+SCkGBGVbaEkwqkxc/yY6s/0bxjrh37Y5A6nBEhw1mxIZYdyU0rBwICbn3hQ9nH1zX50TUzFe/PHBXx/ZS6atS6Xi93otGTc3JlrxwcO3UWL28+oH4QABrPnMfUZdsx8OJs1DerS7RNJFo2IzMyD0Ip0BhalKO483CwSN1bpT7L4ZQ6y8Zyd20yDgMRMpTWttFOpRRsKU0rq53OPnqyJeIGfZFyALQmDcqdaLTmnNQ3n1UMsOQIAD453KT78YkgPMiQ+iyqnaXIyUxBQ7N00qrSUkbw615V1BVrq79UfL1pI/tixuhLOgQQWnarVgrI7NQfg9RhIOIwemcbYjFLYcTeEk6gFGypeR+iTazTs8OoFKV+FFqvrP3nA1GOyNw8lHgQ/JmQropx40dDCtAlPUW2hDs3MxU3XebDkg86zlwpLWWomb2QMrxvnuRyjJ7Pstxn08zdtcl4DEQcRO9sQyxmKfRsTuVESkHGH2+5HHPe/FTxfXjvvpFRJdbp2WFUilTVTDBWGNhH+Gci4mexyY9n39mj+HzHm8+2ByHhy3me9BTcPrwQo4u9HR6nZfYi0tiD6f0s87MZP5is6hB6NqmK5nFa6dmcymnU7NHx8MpqTW3VAX2JdUblAKz6uFY2+VGsRCD1MlOTDX/O8M+EUTNiIrGCPOPC2E+cOYdn1u/GiCc3hBwj9Lyu0udZ62c52s6yZD8MRBxA7yZVRu2AqYbag0ldk72bCYV3oQx+b9QEW2qTLMW26no3njLqalApOBQrEZw7hxV7zQZsaBcu/DNh1IyYSPyUh2/GF37Boud1lT7PWj7LrH6JT1yacQC9m1TpfZweag8mc974BOkpSbbMFVFawjK6EqE1IMCTnopfV/RH/Sk/cjJT4fWkq8rfUeqZoIXS7yUGTLNW1dg+kLRaRmqyITvrin5a1hMVJd1DPhOtAQEb93xl2GvICV9WVfsdmDayL/p166wqH03LZ5nVL/GJgYgD6G1dHMuWx2oPJvXN52yZuGpkgqkSb7YbDc1+jHhyg2TQo+ZKL7hZWrTE3+vs+QBe3rQfB+pPo1dOBn5cVojUTm2TpmIlwj0rKrF6h7qdVROR2iDktrJe+PzLJmz6oiHifUYX52P2+G+E3KY3STQawRcsar8Dw/vmoaxPrqokebnGf6I7hxeivNjL6pc4xUDEAfRWWMSy5bGag0kwNYmrsepHojbRVinBVK0hhV0xddn2qKuLKkp8uKf8Ejyzfpfusfg8bT1N7nhxC979/KuQTcueWPMpxnzDh9HF3ZCflYYrenXFRwdO6H6teOYC4MlIwQmZTrnBXtx0AJOvKcKgHl2w+D/7QhJFk1zAnSOKcP8NA7BxzzFs2nscgIBOSUl49p3dllUVHT3ZghtKfLI9Q4KTUrUkyUfq/xGPpf/UkUvQs9FFjDQ1NcHj8aCxsRHZ2dlWD8cyrQEBI57coFhh8f7MUSEnar2Pi8a66lo8+Fq1quZGj4wdgNuGF6kuDzTroLRp73FMXLxZ8X7LJw9D45mzmisGwsmVVQb/TQAoBmIrqw5j+ooq3WMREx/V0NK0KhHN0BEU/vzaIvzq+v4dZqI2fPYl7n91p+rAJhZmlPfDiq2HIs7GiJ/MhZPadnCW+p4E30fqe8xmiPFDy/mbyaoOoLd1sRUtjytKfHhk7ABV953z5qcdsvKB2FX6iLQsYYlXbtG0IZfr7SBOg8/fsAcjntyAiYs3Y/qKKkxcvFnyvVK7pXskWhKVGYRE5gLQ+6JMZKVpm2Re9O99AIA7r+mNx8aX4M5remPDZ19iytJKWwUhAPDM+t2yS0JiUuroYq/uJHmx/8f40otR1ieXQUiCYCDiEHorLKKpzNDL60lXfd/w4CKWlT4itUtT+481A7gQbN04UPPriLvtqvHM+l3qAjEep21BAPCL5dtxqkXbPjQCgAdf3dH+c2tAwKxVNbrHcUOJF11VfsaMlJOZgvfuG4mKEl9ClPKTsZgj4iB6WxfHuuWxliz48Kz8WFb6aB3vM0G7n3qzteXViO/07VcX6c7pkGoMd+yUtk3uyFx6wuO/Vx5GeXG39pN4NJVJPykrxPUDvZjxSpXu59Cjvvkcth1oQFmfXE0zjFyKIYCBiOPobV0cy5bHWhNXg4OLWFb6iNRWoAQHAVrLZ8Wyw9HFXqzYelB3wmt4ILb/2Gkdz0J2o7U8VorY5MuqmYaNe45p2udm/7HmiJVjTkxOZVClH5dmyBSRloTkiF9gNYxu7yxWoMgJDgLU5N/MKO+HZyeUYvnkYXh/5ihUlPhUPU4N8Wpy+ZaDGh5FdqW1PFaKmO8l7oYba/Pfbctramj2w+dJi/h5dgHompEimXNiVh6Y2dZV16rK6SJpDETINBUlPrw/c5Tq5FXxKkLpIGZWe+fCvAxV9xOvWiMFWzmZqVhwy2BML79EMulO7nH3XNdP1Rjys9KinsYne6lrPIOhRTmal/0A4JuX5LXPIiQnufCd0u5GD0+VusYWTF22HTdd1jaWSMF2pNlAs/LAzBTr5Pp4xECETJWc5MJtw4tUBxdWVPqI9MzGiFVCwVU0x5vP4sHXduKZtz/Hxj3HOrSLFzuqVgzshqy05JDHrdh6UDGhNTM1GdWHT2DNTh7g4smcNz/F2zV1mHVTsebHXtvvopCfpTar00vLN00MHVZWHcH06/rBkx76WfZ60nBP+SWyFUFOSma1Irk+HjFHhEwnlzMiFVxEam5kdnvnK3p1RU5mSsT9YqR2EF1XXSvZnOzEmXMXdkD9ehfULukpGNEvDx/tb4g4k/Flk18xd6T5bCueWPOZ8i9EjlLffBZTllZiwS2D8dykwZj5jx1oPKNchZPkAn5cVhhymzizqKcDa9eMFDQEBQrdst1oOR9QXU4soG0H4Hnv7G6/rUt6Cm4fXoRpo/rijR1HVD2PkXlgZrEiuT4eMRChmNAaXGit9Ik2UUxsoCYXhAChAZPWnUhPnDmHN3bIz2LwuommLa/E/ImXo/KR6/GHd3aHnNCl3Dni61b8ovAEbC2fq/874XJ0Sk5q/y4FBAG3Pv+h1l8jRNtuvrvQL7+zZXlgZrAiuT4eMRChmNEaXKit9FHqwqoUpETaZyaYVMBk9A6oRAAQEID/WrYdz01y4Z7Rl6C/Lwv3/vXjiPvY/G3bYVzRK0d123Ql9afPYnzpxe0/r6w6rO8XkTBteSX+749KZSvOpGYe7SqegiorMRChmDK6jFhps7qfXVuEVR/XygYpSrMauZmpeO++kR2uOnmVQ2Z64NWdGNW/GzzpqfjRlT2w5IMDkvc7cfocpiytxHMXGhSGB94PjhmAXyzfrvp1xZ2hxec4dtK4XjUBAZi2ogo/v7YIi/69T9VSrZ0plfE7KaiyEgMRcpTgA2RephuzVskniv3pQgvtYMGby3nSUxWvFo83n8XLm/YjL8sdMqPCqxwyU8Ppcxg8522c8qvr1jp7dQ0CAQFz3vw05DOt5Xzu86RJ7gyd5AKMzLdc9XEt/njLYMx5M7Z5YEbTmv9G0rjpHTmGkVugi1cqv67or7kLpS+oOVn4Adtq3JiOoiHOVMTipLB88rD2BmxObwIWy006nULL+TsmMyILFizAU089hdraWgwcOBDz5s3DNddcE4uXpjihJo9DCzGbXc+0c/CMyqPjijFFoSNrrPg8aXjvvpHYdqChfcboFyu2MzAhRWkpSXjqB5fhN2s+lf2Ohc+M+DxpmDCkJwrzMpCX6cav/vax6t42ay/013Bq8BEs1ttoxBvTZ0ReeeUV/PjHP8aCBQswfPhw/OlPf8Lzzz+Pmpoa9OzZU/axnBEhoG05xqyZh//6Vm8s+NcXmh8nzqi8P3MU3qquxYy/fgz/+YDh49Ni8jVFeGhsaA+Kx1Z/gj9v3G/NgMhR1M6mPTJ2QIdlStG66lrNgXlOZiq+U9q9fesEnrzjg5bzt+kNzX7/+9/jzjvvxF133YUBAwZg3rx5KCgowMKFC81+aYoTZlanJLn0fQXEGZWZf9+Bx96osTwIAYAX3t+HNWE9GoxsbEXxTe3MWV6WW7JjMNA2M7DglsGa8lLqm8/izxv3sy16AjM1EDl79iy2bduG66+/PuT266+/Hh988EGH+/v9fjQ1NYX8I9JTnaJ0HBS7uUZbwfP3yv9FXZM9dsAVyz7XBPUquaJXV6R1YgNlMo5SkvaYQT7Mn3i5rueuZVv0hGTqEerYsWNobW1Ft27dQm7v1q0b6urqOtx/7ty58Hg87f8KCgrMHB45hJ7qFK8nDT+/tgguyLeKH9Y7V7b9vBNNW16JN6oO49n1u1D62D/RYoPZGjJP14wULLhlsOmfY6V9nloDAjbtPY6VVYfRNdONBbdcDp+GTS+DsS16YolJsqrLFfr1EAShw20A8MADD+Dee+9t/7mpqYnBCKmq1e+W7cadI3rjUMNp9MrJwI/LCpGc5EJGaics2bgfJ8583TE1vEQwuANlPBB7NVD8qijphr4XZaGsTy6G9W5bIklKgmQZqVEEtOWHSOVwRKoaeWRsMbpmpmJtdS3+skm6D4rU67AtemIxNRDJy8tDcnJyh9mPo0ePdpglAQC32w23223mkMiBlGr1BQAt5wN4Ys2n7bf/4d22PV6C98cI3u9CajfcB1/bGbHFO5GdfHyoEd8pvRjDeueGVGpI9eYw0pw3P0VSkiukJFWuqeDUZW3VZTeU+FQHIiI2DEwcpgYiqampuOKKK/D222/ju9/9bvvtb7/9NsaPH2/mS1OcidSuusuFDbrCN+SS2qCr8cw5zFu/C5d6O0u2wz5zLqC5pwiRFeoaWzBlaSW6ZKSEfNbbZiEGoGumG2/X1OHPG/cbOkMSXLqu1JlYQNuFwuzVNXjvvpGys5pS2DAwcZiexXbvvffi+eefx5///Gd8+umnmDFjBg4ePIgpU6aY/dIUB4LXnT3pba3Wl08ehmcnlOL/3XUV3BoSMcO35Q5+7k17jyM/i7Nx5AziZzk84K5tbMF/LduOhmY//s+4gXhu0mB4w/I0umSkAFBO6JZ7XfE7pHb32W0HGvDouGJVr6uUi0Lxx/QckR/96Ec4fvw4HnvsMdTW1qKkpARr1qxBr169zH5psoFodsWV61Y4vvRibNxzTHPFinhgnL9hN1ZsPRTaXjrb3eEKk8iJpi3fjmcFIK+zG7/+9qWobz6LnM5ueLPbvoNvVdfh4ZXVuprdid+hFzfuw4H606oec/RkC8aXXoyFkwZj1qpPIn5v2RY9MbHFO5kmmrbHkdadxUPTz64twitb/zckCZWIIhO/ewAM2ypBreWTh6GsTy7WVddi1qqaiN1XtbRFj+Yih8yn5fzNQIRMoRRIiGvMUszspGoGnycNhTmZ2LTvuNVDsbWMlCScPsdSYrVSklw4Z2AJq1nVNEqvKXYgfrumTnabhhnll3RIJI+Ee7vYn606q1J8CM+nkKvxV0pgA+T7BJjZSdVo00b2xXv3jcS+46esHortsS2ENkYGIYA1QQiAkFmYSGNwAVix9aCq5xUvcsKPEXVshuZYMekjYjec0tNG69WH2gS2SH0CzCrbM+OKcHjfPGw70GCb7qp2xsZqiSW4X8+mvcejOiaI1FbpjC728pjuIAkXiDhpSs8OAZNcj4DgMr5gagOJSPczomwvIzUZqZ2SQhJPvRd2Cn1m/a6onx/4OrP/jbD9XYgS2U/KeuGGEl/I8SraY4Io2oscsqeECkT0nFStYoeASe/Vh9pAItL9lDqpqrH4x1diWJ/cDoEcALy0ab+uaoFwN13mQ3KSi/0OiILcUOLrEAREe0wQGRXQkL0kTI5ItHkLsWSXNVAtVx/BxEAi0tyNUp8AsZOqeN/wx8oRn3vYhZ1By/rkhuwUmpzkwndKuys8izorq460lRA3nkFOZqquvgxdL/R0IHI6ue91tMcEkVEBDdlLwgQiek+qsWangEnv1YeaQEKpT4DYSTW8GZPazezknnt0sTfi/9OirsmPW5//EDP++jHqm89qnr3xedLw4YPlmFF+iSHjIbKK0nfPiGMCYFxAQ/aSMEszTpnSs9MaqNqrirxMNzbtPR6yBBKpJXv4hnNyeTAVJT6MLvZK/v/Le3aN+Nyji70dxhN8gBMPZlZX5jwythipnZIwvbwfLvV2jnlvh2hlprpw5pzAahiLqU3CzslMMW0vpfDvtRS1xwQ5SvtOAWyG5kQJE4g4ZUrPTgGTml1vPRkp+NXfPg5pUBScyxIpkADU5cGIyyvhIj332zV1HXqQSD2neDCz8hw6580aJCW1/S5Sv8+HXxzHvHd2WzhCec1nGYFEYmbPjiRXaCl0t2w3Zt00EEDHRmU5mSn4bunFKC/24opeXfHNp96NKvcq2LSRfdCvW5amRHqlY4IaRgQ0ZC8J09BMbJIld1IVG+9YGU1v2nscExdvVryf2KnQbGK+CiC9660UNU3LtDQ8U1s9pLWJ2rPrdxtWQRONBbcMxphBHX/XddV1WFtdp/Bosqvxl/ngcrV9+l6vir6ySvzOdUlPCeko7M1Ow6ybits3oZP7rkT6PusRq2NQJHaoKqTI2Fk1ArmTKiB/4owVOwZMUjMX3mw3Ws4HIu7LIjdOpc6p4d0Y1VQPaXlOcTwrqw5j+ooq5TdAJ7VXxUkuYP7Ey5GU5HLc8gwp82a7cbLlPJrPtkb1PJnuZDT7Oz6H1uOX1PdZC7tctJG9MRCRYYeyWCV2DJjCrz4CgoBbn/9Q8XFSV01qZ31mlPfDvPW7Vc1w6JlJUvsYPWaU9+uwqR5RNJRmIbUEB+L3eeOeY5j/7h5NYwDscdFG9qbl/J0wOSIiI9YozWbHNdDwXI2VVYdVPU4ql0VtfsuSjftV9zDRk1tjRL8SKT5PGqaN6tf2b1ml7ZdXOiW5cJ4Zp7Yn9xfSmsQufp+HFuXgH5X/q/o7wDwMMkPCBSJA5ARIO7F7wBRN8q/ax8rtrBt+4M3r7Fb1nMH3k8vAj8aEIT0BAG/XOCPHg0FI/NCaxK6mCuWe8ktQmJdhu2MQxY+EDEScws4Bk5qKGq9CcyOlapxI+SfB2g+8as+lYfeLNPvU5cLr6wlQnlm/C8u3HODeKibompGCBhWfi0Slp+rPjjOwlFgYiJAueur5g/NMJgzpiXnrd0V87O1XF6mqaBEPvMea1W06F3w/cTz+8wE8ffNlgND2/4NLgfUm9XETPHNcWdgV3x/cA/e/ulNVoBovXABcrsg7GMsF/mrYfQaW4hsDEdJNy5WUVJJwlwvtzcM3phObkq3YelD1jIvWpSK5pOWhRTlfByg/uAxwAcdOtQUoDc1nMedNVrZY5e2ao/jjLVdg28Ne/GDhB9h+6ITVQ4oJAcDPrinCon/va/9ZZFQjLzvPwFJ8YyBCUVFzJRWpv0fj6XMQ0FZhUpiX2eGxWmZctCwVyW1+OGVpZfuyjEgMUMSD9LdLvLoqDsgYD766A6P6d0uYIAQA7hheiAfGFMt2FOYSCjlVwpXvUmzp6e8RTE25tbjEsr6mDi9s3C/5GkBbyeHoYq/seCKNUXx88MHe7D4kJC09JQnpqZ0M2UE5lqJpsR5cds5GXuQELN8l24h27xw9beLDW2AHXzFu2ntc87JKcLnwqP7dsHVfPTZ9cQyHG85oeh4yxplzAZw5F7sgJCstGSdbomtG5vOk4b37RmLbgQYs/s9ebPjsK9WPzclMCcn94BIKxRsGImQqI/bOiXTgjbTEIgYhdwwvxOhib0jgonePHjFgGjznbZzyn9f1HLGmpfqIpGWndUJTS/R/75su8yG1UxKu6NUVtz6vPggBgMfHl3DGg+JaktUDoPhm1maDrQEBs1fXyJbWvrr9cIdp62g3NXRKECK6razQ6iE4WmmBx5DnWfVxLVoDAl7etF/TbsXX9b8IYwZ1N2QMRHbFQISi0hoQsGnvcaysOoxNe4+jNewoKyaRRrqec6Ft2lpr2aHSkg/QVo0zf0NoMukVvboiJzNV02s5UZf0FCycNBhDCvWVc1Kbf+8+bsjziMuPB+pPa3rcXdf0MeT1ieyMSzOkm5pEUj39RuSIiXprq2tV3X/JB/swbVRfJCe5sGbHETy8slp3wqCT/PHWwRjeN091K34y39GTLeiVk6H6/noCdCInYiBCusiVwN69tDKkwsSozo16dg09cfocnnn7c+w/fhpv7JAPXsSunUa2e481sQppWO+2nJpol6KcLNJutVbJz0rDDSU+PLHmU1XLM9H2BSFyCgYipJlcfobUhnRA9J0bIwU+asx/d6/ifXIyU7D5gXJs+OzLDsGOU9qKR+qv4s12J1yn18xU5SDE3ckFwAV/DFrxd8lIQSAgIDnJhcnXFOFPFxqTSclMTcbvfngZ+4JQwmAgQprpLcnVW3aoJjE1WvXN57DtQINkwHS+NYAf/3mLia+uXZf0TkhL6YS6psgzTOIy1thv+CT7q+gRXhptV81n5YOQzu5OWHjLYPx4SWz+ridOn8OtL3zYvnT582uBxf/ZF/JeugCMHeTDsxMu50wIJRQGIqSZESW5WqhJTDWCON7wgOmOF+0VhABAWZ9cTLqqMKT9vFJ/FSOMvPQivKOhB4bRjFo2O+U/j2VbD+h6bE5mChqaz+kaR/DS5Wdz+uPlTftxoP40euVk4MdlhUjtxPoBSjwMREgzI0ty1XSJNCqgUSI13rlrajQ1n4qVtdVfYm31l/BmuzFxaE8AbQGbuFmf3mWsSMSZEDEIsWJmpLM7GZ3dKSGzQNFYW/2lpvuL+TePjB2Aqcu2SyZfCxfGeSrCslD40uWd1/TWNXaieMJAhDTTsq+LlOCW7K9VHQ6pYgmvugFik3AZ3r0SAM6eD2DxfyKv5cuJVcJrXZMfz6zf3f6zNzsNLedbo3ptF4Bu2W787oeleOfTL/HnjR17X1ixMcQpfyv+NOlKfHSgPuR3joXg/JuKEh8WJrk6zDiJzeMiBSEipW7CRImGgQhpFk1JrtKSgVTVjVLgYwSp7pVam0+JQRQAU5ZF1DBitkAAMPYbPkAA1uysi3gfF9qSMFOSXDh6KjYt14+e8mPF1kMxea1g4fk34blEeZlu/OpvHwNQn9Qcq5k+IrtjIEK66CnJVVP5IlV1Ixf4GOHn1xa1d68MXir6cF+96ufIzUzFe/eNbF/jF09SG/d8papqxy7EJZcXNu5XTHAVgLZy5xjmVdaf8scswBtT0g3fLvFFXDIMziXatPe45iAwkUuriYIxECHdtJTkaql8kZq6jhT4RCM3MxVzxpdgzKC2oCmaBM/jzWex7UBD+3jFk9TQohz8fdthw/IazJCTmYLLC7rgnc++0pX3EYtlGnG5L9quuFpyWy71ejC+9GJV99Uyu6G0dEmUaBiIUFTUluRu1rHrbfjBvcN0eGc3fvXXKnzZ5FcV4HRJ74TbhxehMC9Tssok2gRPqZNRcpILs24qxpSllVE8s3HEk+DTP7gMx5rbqm2u6NUV33zqXauHpujRccXwpOsLRIq7Z6HmyElNgda89btwqbezqn4eWmc32KyM6GsMRMh066prcf8/dmp+nNTBPTzwmXXTQNyt8iSfntoJ00b163ACMKpPSaSTUUWJD89NGoz7X91p6U64wfk7w/vlAWj73V/cuM+SfBa1ghOYWwOCrnyhOp2/X3hjvkjU5jF5s92YddNANisjCsJAhEyld6ZB7T4b4pLNg6/tVNxDJlKlghF9SsTOma0XumdKjXN0sRebvziOD/Ycw4sf7FdsuqWXmETq7pQU0lFVzN8ZXezFpr3HJauW7CI3MxXjS7tjdLE3ZOZKa76QC0BOZiqON2tPphWXCDfvPY6kJJfs8qOacc0ov6R93yMi+hoDETJNNDMNWqauK0p8OHMugBmvVCneV2r5xIjqhfDOmVJXvMlJLgzvm4cklwt//Jc5CaziO3bb1UXomZOO+uazyOnshjc7rb3HyIgnN9h2BuTO4YUoDwo+pPrMqM0XEt+L8aXd8ecoOstOXVaJE2fkS8yByHlMcp8JImIgQibSO9Nw5/BCzQdtb7b+Jmtq1/dvHOTDtgMNsr+TVPlxuGgDn0fGDkBelhv7j53G8i0HQxJhu2SkQADwzPpd7beJJ0IzGp0ZpWtGCuZ+7xvtyy9q+swE5wtJvRfiDJAnPTWqQCQ4CAHk/8bR7qlElIgYiJBp9J5wy4u9krfLdWGNpsma2vX9N3bU4vare6F7lwzMf3c3Gs+c73CfSJv+BYu2bDMvy91ezTFtVN+gk3GzZKOvusYWTFla2R6k2MX1xd1wSbcslPXJxbDeuUhOcmnuMxO8zBb8XgR/PvTmlUSi9DfWu6cSUaJiIEKm0XPCjZQbInWCCr46jqbJmvhYNZUtSz5Q3p9EqXNmtA3agt9X8aTXGhAw4skNEccDIGaJsi6XupLe24cXhbw/evvMiCIFAGb0oWF3VCLjcIclMo14wtUyKS0VLIgnqPCrZPHqeF11LYCv1+i9ntAAyOtJk10qER87o7yfhpEqizQjJJ4YAWh6b0QNEomXsdoYMJwLbZUgD40ZgJ+U9cIjYwegZnaF7N/dhY4Bp94+M2pF+mz4PGn4+bVF8IXd3iU9RdXzsjsqUfQ4I0Km0XIlGpwjEEzuBCV1day0Ri+3vFOYl2nEr91ObkYomgZtc96swbdLQmcDrDwhSpWjap2d0hNIaf2d5T4bv64YEHJ7QBBw6/MfKj4nu6MSRY+BCJkq0gk3JzMVVxV1RZ+LQnMEwimdoKSmyCNN0Sst7xh1UlG76Z//fABP33wZAq0CfrFie4ekyEiklgSsOCEmuYD5E6VnmrRuAaAnkNLzO8st3wTfrpRXwu6oRMZhIEKmi6aSQO0JSul+kfIPgpMfRxd7o05q1LPpX05mquogRBT++6pJ1vVkpKDxQp6IEXkSAQHoKtNyXcvfXUtQIQYBgYCAlVWHTalMiSbniIi0YSBCMaG3kkDtCUruflqWd6JNatSz6V+9jmZb4b+vmhPnb7/3DQDG7gysFACq/bsPLcqBNztN1Z48AoAz51px6wtfL52Y0atDz8aORKQdAxGytWjKcsUlkI17jqle3tGSuyG1b4sRm/6peU2p31ftifPrnYGPYf67e6Iaj1FLQm/X1KHlvHKn2a4ZKWg4fa5DBZCa/i16sC8IkfkYiJCt6Z0i17OTrnh1H3zyWV9ThxckmmFJ7dsix8iqFrklATUnzuCdgf9R+b+6lqKizZEIThqO1P9E1NndCT+8sgeuG9ANv/prleR91PRv0Yt9QYjMxUCEbE/rFLne/W2k+nOU9cnFkKKcqKfnjahq6ZKRgt+GdR+VCjbUnjj19teINkdCa5DY2Z2Mh8YWY8u++pC9c8KxtweRMzEQIUdQO0WuZwlE6ereiOn5/ceaNYxI2h8nDsbwfnmK1T9aRAryxE3nPOmpEVun61kC0RMk1jX52997Ndjbg8hZTAtE9u/fjzlz5mDDhg2oq6tD9+7dMWnSJDz00ENITY2caU8UiZorfa1LIGqv7qOZnm8NCFi+5aCuxwJtY+yW7QZcwGOrP5HcNyWaHAmlQCtS63StosmTqWtqiWo/ISKyL9MCkc8++wyBQAB/+tOf0LdvX1RXV2Py5Mlobm7G008/bdbLUoLTejUciwoIpSWFYFJ5MAKAlvMB2QZb0eZIyAVaRuVIRJMnM+eNT/D4+BL29iCKQ6YFIhUVFaioqGj/uXfv3vj888+xcOFCBiImk8sfiHdqr4anjeyD4X0visl7ozY4umN4IdZW14WcrD0ZKTghUSUixa45EuLnce2FVvx61Defw9Rl2/Gza4uw6N/72NuDKI7ENEeksbEROTmRr1b8fj/8/q+vHJuammIxrLhiZP6AE6kt950x+tKYnbDUBkeji73tSZlHT7YgL9ONX/3tYwDRNTuzkp7qJTmrPq7FH28ZjDlvsrcHUbyIWSCyd+9e/OEPf8Dvfve7iPeZO3cuZs+eHashxR013UPj/UBtRUdMpRkoLb1QgpdBNu09rqrBVzi75EjorV6KRJzx6ZqZivdnjkrYWT+ieKN5991Zs2bB5XLJ/vvoo49CHnPkyBFUVFTg5ptvxl133RXxuR944AE0Nja2/zt06JD23yhBKXUPBdryB1oDRp0W7CuaXXi1WlddixFPbsDExZsxfUUVJi7ejBFPbmjfERiQ321XLjjSOrMhtautVbQmpmoJIY6ebGkP2MaXXoyyPtL7FBGRM2ieEZk2bRomTJgge5/CwsL2/z5y5AhGjhyJsrIyLFq0SPZxbrcbbrdb65AI+jaHi2ex6IipZQZKT7twrfuvAPbJkdCamOr1pGHCkJ54Zv0uxfvaZcaHiIyhORDJy8tDXp5yJ0kAOHz4MEaOHIkrrrgCS5YsQVKS5gkYUok9FjoysyOmlv1rxMBAa3CktKQTzG45Emo/Zz8p64UbSnztszgrth5kVQxRgjEtR+TIkSP41re+hZ49e+Lpp5/GV1991f7/vF6vWS+bsIzYHI7U0zsDpSU4UtP59M7hhSgv9touR0Lt5+yGEl/I+8Edb4kSj2lTFP/85z+xZ88ebNiwAT169IDP52v/R8YTr54jHaLtlD8QD2I1AxUp38XnScNzkwbjkXEDbZkjoffzGMv8HiKyB5cgCLbNXmxqaoLH40FjYyOys7OtHo7tiTkLgPTVJA/kxtm09zgmLt6seL/lk4cZsjzkxN4w0Xwenfj7EtHXtJy/GYjEmUTvIxIrrQEBI57coJjP8P7MUQl9AuXnkSgxMRBJcLyajA3OQKnDzyNR4mEgQhQjvOInIupIy/k7pi3eieJNLPqVEBHFMwYiZDmnT92b2a+EiCjeMRAhS9llacPpwRARkVMxEIkCT17RscsmfXYJhoiIEhEDEZ148oqOnhbpZrBLMERElKi4+YsO4skrvMW3ePIK3nmVpGlpkW4W7lhMRGQ9BiIa8eRlDDts0meHYIiIKNExENGIJy9j2GGTPjsEQ8FaAwI27T2OlVWHsWnvcQazRJQQmCOikd1OXk6ltMV9LLZ8t0MwJGLOERElKs6IaGSnk5eTiVvcA+iwQ2ustny3y47FzDkiokTGQEQju5y84oHVW77bIRhizhERJTouzWgknrzuXloJF6Q3OzP75BVPrG6RLgZD4csi3hgti2jJOWL3ViKKRwxEdNBy8mLTM2VWt0i3MhhizhERJToGIjqpOXkxAdE5rAqGmHNERImOgUgU5E5e7NhJatiheoiIyEpMVjUBExBJLTskzBIRWYmBiAnY9Iy0sLp6iIjISlyaMQETEEkrq6uHiIiswkDEBExAJD2srh4iIrICl2ZMwKZnRERE6jAQMQETEImIiNRhIGISJiASEREpY46IiZiASEREJI+BiMmYgEhERBQZl2aIiIjIMgxEiIiIyDIMRIiIiMgyDESIiIjIMgxEiIiIyDIMRIiIiMgyDESIiIjIMgxEiIiIyDIMRIiIiMgyDESIiIjIMgxEiIiIyDIMRIiIiMgyDESIiIjIMgxEiIiIyDIMRIiIiMgyDESIiIjIMgxEiIiIyDIMRIiIiMgyDESIiIjIMgxEiIiIyDIMRIiIiMgyDESIiIjIMjEJRPx+P0pLS+FyuVBVVRWLlyQiIiIHiEkg8utf/xrdu3ePxUsRERGRg5geiKxduxb//Oc/8fTTT5v9UkREROQwncx88i+//BKTJ0/G66+/joyMDMX7+/1++P3+9p+bmprMHB4RERFZzLQZEUEQcNttt2HKlCm48sorVT1m7ty58Hg87f8KCgrMGh4RERHZgOZAZNasWXC5XLL/PvroI/zhD39AU1MTHnjgAdXP/cADD6CxsbH936FDh7QOj4iIiBzEJQiCoOUBx44dw7Fjx2TvU1hYiAkTJmD16tVwuVztt7e2tiI5ORm33norXnrpJcXXampqgsfjQWNjI7Kzs7UMk4iIiCyi5fytORBR6+DBgyE5HkeOHMG3v/1t/P3vf8dVV12FHj16KD4HAxEiIiLn0XL+Ni1ZtWfPniE/d+7cGQDQp08fVUEIERERxT92ViUiIiLLmFq+G6ywsBAmrQIRERGRQ3FGhIiIiCzDQISIiIgsw0CEiIiILMNAhIiIiCzDQISIiIgsw0CEiIiILMNAhIiIiCzDQISIiIgsw0CEiIiILMNAhIiIiCzDQISIiIgsw0CEiIiILMNAhIiIiCwTs913iRJda0DAln31OHqyBflZaRhalIPkJJfVwyIishQDEaIYWFddi9mra1Db2NJ+m8+ThkfHFaOixGfhyIiIrMWlGSKTrauuxd1LK0OCEACoa2zB3Usrsa661qKRERFZj4EIkYlaAwJmr66BIPH/xNtmr65Ba0DqHkRE8Y+BCJGJtuyr7zATEkwAUNvYgi376mM3KCIiG2EgQmSioycjByF67kdEFG8YiBCZKD8rzdD7ERHFGwYiRCYaWpQDnycNkYp0XWirnhlalBPLYRER2QYDESITJSe58Oi4YgDoEIyIPz86rpj9RIgoYTEQITJZRYkPCycNhtcTuvzi9aRh4aTB7CNCRAmNDc2IYqCixIfRxV52ViUiCsNAhChGkpNcKOuTa/UwiIhshUszREREZBkGIkRERGQZBiJERERkGQYiREREZBkGIkRERGQZBiJERERkGQYiREREZBkGIkRERGQZBiJERERkGVt3VhUEAQDQ1NRk8UiIiIhILfG8LZ7H5dg6EDl58iQAoKCgwOKREBERkVYnT56Ex+ORvY9LUBOuWCQQCODIkSPIysqCyxXd5mBNTU0oKCjAoUOHkJ2dbdAI4xPfK3X4PqnH90odvk/q8H1Sz6r3ShAEnDx5Et27d0dSknwWiK1nRJKSktCjRw9DnzM7O5sfXJX4XqnD90k9vlfq8H1Sh++Tela8V0ozISImqxIREZFlGIgQERGRZRImEHG73Xj00UfhdrutHort8b1Sh++Tenyv1OH7pA7fJ/Wc8F7ZOlmViIiI4lvCzIgQERGR/TAQISIiIsswECEiIiLLMBAhIiIiy8R9ILJw4UIMGjSovZlLWVkZ1q5da/WwbG/u3LlwuVy45557rB6K7cyaNQsulyvkn9frtXpYtnT48GFMmjQJubm5yMjIQGlpKbZt22b1sGynsLCww2fK5XJh6tSpVg/NVs6fP4+HH34YRUVFSE9PR+/evfHYY48hEAhYPTTbOXnyJO655x706tUL6enpuPrqq7F161arhyXJ1p1VjdCjRw/89re/Rd++fQEAL730EsaPH4/t27dj4MCBFo/OnrZu3YpFixZh0KBBVg/FtgYOHIj169e3/5ycnGzhaOypoaEBw4cPx8iRI7F27Vrk5+dj79696NKli9VDs52tW7eitbW1/efq6mqMHj0aN998s4Wjsp8nn3wSzz33HF566SUMHDgQH330EW6//XZ4PB5Mnz7d6uHZyl133YXq6mq8/PLL6N69O5YuXYry8nLU1NTg4osvtnp4IRKyfDcnJwdPPfUU7rzzTquHYjunTp3C4MGDsWDBAjz++OMoLS3FvHnzrB6WrcyaNQuvv/46qqqqrB6Krd1///3YuHEj/vOf/1g9FMe555578MYbb2D37t1R77MVT2688UZ069YNL7zwQvtt3//+95GRkYGXX37ZwpHZy5kzZ5CVlYWVK1di7Nix7beXlpbixhtvxOOPP27h6DqK+6WZYK2trVixYgWam5tRVlZm9XBsaerUqRg7dizKy8utHoqt7d69G927d0dRUREmTJiAL774wuoh2c6qVatw5ZVX4uabb0Z+fj4uv/xyLF682Oph2d7Zs2exdOlS3HHHHQxCwowYMQLvvPMOdu3aBQD4+OOP8f7772PMmDEWj8xezp8/j9bWVqSlpYXcnp6ejvfff9+iUUUW90szALBz506UlZWhpaUFnTt3xmuvvYbi4mKrh2U7K1asQGVlpW3XEe3iqquuwl/+8hdccskl+PLLL/H444/j6quvxieffILc3Fyrh2cbX3zxBRYuXIh7770XDz74ILZs2YJf/vKXcLvd+MlPfmL18Gzr9ddfx4kTJ3DbbbdZPRTbmTlzJhobG9G/f38kJyejtbUVTzzxBCZOnGj10GwlKysLZWVlmDNnDgYMGIBu3bph+fLl+PDDD9GvXz+rh9eRkAD8fr+we/duYevWrcL9998v5OXlCZ988onVw7KVgwcPCvn5+UJVVVX7bd/85jeF6dOnWzcohzh16pTQrVs34Xe/+53VQ7GVlJQUoaysLOS2X/ziF8KwYcMsGpEzXH/99cKNN95o9TBsafny5UKPHj2E5cuXCzt27BD+8pe/CDk5OcKLL75o9dBsZ8+ePcK1114rABCSk5OFIUOGCLfeeqswYMAAq4fWQUIEIuGuu+464Wc/+5nVw7CV1157rf0DK/4DILhcLiE5OVk4f/681UO0tfLycmHKlClWD8NWevbsKdx5550hty1YsEDo3r27RSOyv/379wtJSUnC66+/bvVQbKlHjx7C/PnzQ26bM2eOcOmll1o0Ivs7deqUcOTIEUEQBOGHP/yhMGbMGItH1FFCLM2EEwQBfr/f6mHYynXXXYedO3eG3Hb77bejf//+mDlzJqtCZPj9fnz66ae45pprrB6KrQwfPhyff/55yG27du1Cr169LBqR/S1ZsgT5+fkhCYb0tdOnTyMpKTS1MTk5meW7MjIzM5GZmYmGhga89dZb+J//+R+rh9RB3AciDz74IG644QYUFBTg5MmTWLFiBf71r39h3bp1Vg/NVrKyslBSUhJyW2ZmJnJzczvcnuj++7//G+PGjUPPnj1x9OhRPP7442hqasJPf/pTq4dmKzNmzMDVV1+N3/zmN/jhD3+ILVu2YNGiRVi0aJHVQ7OlQCCAJUuW4Kc//Sk6dYr7Q7Mu48aNwxNPPIGePXti4MCB2L59O37/+9/jjjvusHpotvPWW29BEARceuml2LNnD+677z5ceumluP32260eWkdWT8mY7Y477hB69eolpKamChdddJFw3XXXCf/85z+tHpYjMEdE2o9+9CPB5/MJKSkpQvfu3YXvfe97zDmKYPXq1UJJSYngdruF/v37C4sWLbJ6SLb11ltvCQCEzz//3Oqh2FZTU5Mwffp0oWfPnkJaWprQu3dv4aGHHhL8fr/VQ7OdV155Rejdu7eQmpoqeL1eYerUqcKJEyesHpakhOwjQkRERPaQUH1EiIiIyF4YiBAREZFlGIgQERGRZRiIEBERkWUYiBAREZFlGIgQERGRZRiIEBERkWUYiBAREZFlGIgQERGRZRiIEBERkWUYiBAREZFlGIgQERGRZf4/iKqFU/WXQlAAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(y_preds, residuals)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- The Regression that led to the best results was the Linear Regression."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 4. What are the factors that most contribute to the success of a film?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Factors with **Linear Regression**, the one that obtained the best R^2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [],
   "source": [
    "lr = LinearRegression().fit(X_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [],
   "source": [
    "coefficients = lr.coef_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 7.97039252e-10,  1.29768632e-02, -1.33605510e-01, -6.24685185e-03,\n",
       "        7.85814791e-01,  1.04887481e-01,  1.38181147e-01,  7.88784730e-01,\n",
       "        4.24363456e-01, -9.13974129e-02,  8.38082329e-03,  3.08330686e-01,\n",
       "       -6.38727799e-03, -1.29962008e-01,  6.43840238e-02,  7.32730331e-02,\n",
       "        5.78113924e-02,  4.06010528e-02, -2.19126737e-02, -4.01113760e-02,\n",
       "       -3.27731376e-02, -4.19661780e-02,  5.95529245e-02, -1.71902672e-02,\n",
       "       -2.53917780e-01,  3.81116459e-02])"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "coefficients"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['budget', 'runtime', 'Action', 'Adventure', 'Animation', 'Comedy',\n",
       "       'Crime', 'Documentary', 'Drama', 'Family', 'Fantasy', 'Foreign',\n",
       "       'History', 'Horror', 'Music', 'Mystery', 'Romance', 'Science Fiction',\n",
       "       'TV Movie', 'Thriller', 'War', 'Western', 'n_production_companies',\n",
       "       'year_released', 'is_english', 'n_keywords'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_train.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [],
   "source": [
    "coefficients = pd.DataFrame({'Columns': X_train.columns, 'Coefficient': lr.coef_})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "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>Columns</th>\n",
       "      <th>Coefficient</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Documentary</td>\n",
       "      <td>7.887847e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Animation</td>\n",
       "      <td>7.858148e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Drama</td>\n",
       "      <td>4.243635e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Foreign</td>\n",
       "      <td>3.083307e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Crime</td>\n",
       "      <td>1.381811e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Comedy</td>\n",
       "      <td>1.048875e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Mystery</td>\n",
       "      <td>7.327303e-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Music</td>\n",
       "      <td>6.438402e-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>n_production_companies</td>\n",
       "      <td>5.955292e-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Romance</td>\n",
       "      <td>5.781139e-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Science Fiction</td>\n",
       "      <td>4.060105e-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>n_keywords</td>\n",
       "      <td>3.811165e-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>runtime</td>\n",
       "      <td>1.297686e-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Fantasy</td>\n",
       "      <td>8.380823e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>budget</td>\n",
       "      <td>7.970393e-10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Adventure</td>\n",
       "      <td>-6.246852e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>History</td>\n",
       "      <td>-6.387278e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>year_released</td>\n",
       "      <td>-1.719027e-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>TV Movie</td>\n",
       "      <td>-2.191267e-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>War</td>\n",
       "      <td>-3.277314e-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Thriller</td>\n",
       "      <td>-4.011138e-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Western</td>\n",
       "      <td>-4.196618e-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Family</td>\n",
       "      <td>-9.139741e-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Horror</td>\n",
       "      <td>-1.299620e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Action</td>\n",
       "      <td>-1.336055e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>is_english</td>\n",
       "      <td>-2.539178e-01</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   Columns   Coefficient\n",
       "7              Documentary  7.887847e-01\n",
       "4                Animation  7.858148e-01\n",
       "8                    Drama  4.243635e-01\n",
       "11                 Foreign  3.083307e-01\n",
       "6                    Crime  1.381811e-01\n",
       "5                   Comedy  1.048875e-01\n",
       "15                 Mystery  7.327303e-02\n",
       "14                   Music  6.438402e-02\n",
       "22  n_production_companies  5.955292e-02\n",
       "16                 Romance  5.781139e-02\n",
       "17         Science Fiction  4.060105e-02\n",
       "25              n_keywords  3.811165e-02\n",
       "1                  runtime  1.297686e-02\n",
       "10                 Fantasy  8.380823e-03\n",
       "0                   budget  7.970393e-10\n",
       "3                Adventure -6.246852e-03\n",
       "12                 History -6.387278e-03\n",
       "23           year_released -1.719027e-02\n",
       "18                TV Movie -2.191267e-02\n",
       "20                     War -3.277314e-02\n",
       "19                Thriller -4.011138e-02\n",
       "21                 Western -4.196618e-02\n",
       "9                   Family -9.139741e-02\n",
       "13                  Horror -1.299620e-01\n",
       "2                   Action -1.336055e-01\n",
       "24              is_english -2.539178e-01"
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "coefficients.sort_values('Coefficient', ascending=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- The variables that most contribute to the model are 8 variables related to the genre of the film, followed by n_production_companies."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 5. Would you recommend your model to a film production company?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Yes, although our model's R^2 is only **0.30,** it's better than the baseline. However, this means that the explanatory variables we used only explain 30% of the Target's variability."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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