date-a-scientist.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## PROJECT: OKCUPID: DATE-A-SCIENTIST"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This project is part of Codecademy Data Science career path. \n",
    "\n",
    "In this project, I aim to apply different techniques to build several supervised classification models using some common ML algorithms such as `DecisionTreeClassifier`, `RandomForestClassifier`, `KNeighborsClassifier` and `LogisticRegression` to predict users' sexuality (M or F)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "## import essential libraries\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import numpy as np\n",
    "\n",
    "%matplotlib inline\n",
    "pd.options.display.max_columns = 31"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Load the dataset and take a first glance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "## load the data\n",
    "profiles = pd.read_csv('profiles.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(59946, 31)"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "profiles.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This dataset contains 59946 records and 31 columns."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "age              int64\n",
       "body_type       object\n",
       "diet            object\n",
       "drinks          object\n",
       "drugs           object\n",
       "education       object\n",
       "essay0          object\n",
       "essay1          object\n",
       "essay2          object\n",
       "essay3          object\n",
       "essay4          object\n",
       "essay5          object\n",
       "essay6          object\n",
       "essay7          object\n",
       "essay8          object\n",
       "essay9          object\n",
       "ethnicity       object\n",
       "height         float64\n",
       "income           int64\n",
       "job             object\n",
       "last_online     object\n",
       "location        object\n",
       "offspring       object\n",
       "orientation     object\n",
       "pets            object\n",
       "religion        object\n",
       "sex             object\n",
       "sign            object\n",
       "smokes          object\n",
       "speaks          object\n",
       "status          object\n",
       "dtype: object"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "profiles.dtypes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Variables Info:\n",
    "Numerical and categorical variables seem to be of correct data type except for `last_online`, which should be formatted as `datetime` object. However, this feature is seemingly not useful for any of our models, so it can be dropped without much investigation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>age</th>\n",
       "      <th>body_type</th>\n",
       "      <th>diet</th>\n",
       "      <th>drinks</th>\n",
       "      <th>drugs</th>\n",
       "      <th>education</th>\n",
       "      <th>essay0</th>\n",
       "      <th>essay1</th>\n",
       "      <th>essay2</th>\n",
       "      <th>essay3</th>\n",
       "      <th>essay4</th>\n",
       "      <th>essay5</th>\n",
       "      <th>essay6</th>\n",
       "      <th>essay7</th>\n",
       "      <th>essay8</th>\n",
       "      <th>essay9</th>\n",
       "      <th>ethnicity</th>\n",
       "      <th>height</th>\n",
       "      <th>income</th>\n",
       "      <th>job</th>\n",
       "      <th>last_online</th>\n",
       "      <th>location</th>\n",
       "      <th>offspring</th>\n",
       "      <th>orientation</th>\n",
       "      <th>pets</th>\n",
       "      <th>religion</th>\n",
       "      <th>sex</th>\n",
       "      <th>sign</th>\n",
       "      <th>smokes</th>\n",
       "      <th>speaks</th>\n",
       "      <th>status</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>59946.000000</td>\n",
       "      <td>54650</td>\n",
       "      <td>35551</td>\n",
       "      <td>56961</td>\n",
       "      <td>45866</td>\n",
       "      <td>53318</td>\n",
       "      <td>54458</td>\n",
       "      <td>52374</td>\n",
       "      <td>50308</td>\n",
       "      <td>48470</td>\n",
       "      <td>49409</td>\n",
       "      <td>49096</td>\n",
       "      <td>46175</td>\n",
       "      <td>47495</td>\n",
       "      <td>40721</td>\n",
       "      <td>47343</td>\n",
       "      <td>54266</td>\n",
       "      <td>59943.000000</td>\n",
       "      <td>59946.000000</td>\n",
       "      <td>51748</td>\n",
       "      <td>59946</td>\n",
       "      <td>59946</td>\n",
       "      <td>24385</td>\n",
       "      <td>59946</td>\n",
       "      <td>40025</td>\n",
       "      <td>39720</td>\n",
       "      <td>59946</td>\n",
       "      <td>48890</td>\n",
       "      <td>54434</td>\n",
       "      <td>59896</td>\n",
       "      <td>59946</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>unique</th>\n",
       "      <td>NaN</td>\n",
       "      <td>12</td>\n",
       "      <td>18</td>\n",
       "      <td>6</td>\n",
       "      <td>3</td>\n",
       "      <td>32</td>\n",
       "      <td>54350</td>\n",
       "      <td>51516</td>\n",
       "      <td>48635</td>\n",
       "      <td>43533</td>\n",
       "      <td>49260</td>\n",
       "      <td>48963</td>\n",
       "      <td>43603</td>\n",
       "      <td>45554</td>\n",
       "      <td>39324</td>\n",
       "      <td>45443</td>\n",
       "      <td>217</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>21</td>\n",
       "      <td>30123</td>\n",
       "      <td>199</td>\n",
       "      <td>15</td>\n",
       "      <td>3</td>\n",
       "      <td>15</td>\n",
       "      <td>45</td>\n",
       "      <td>2</td>\n",
       "      <td>48</td>\n",
       "      <td>5</td>\n",
       "      <td>7647</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>top</th>\n",
       "      <td>NaN</td>\n",
       "      <td>average</td>\n",
       "      <td>mostly anything</td>\n",
       "      <td>socially</td>\n",
       "      <td>never</td>\n",
       "      <td>graduated from college/university</td>\n",
       "      <td>.</td>\n",
       "      <td>enjoying it.</td>\n",
       "      <td>listening</td>\n",
       "      <td>my smile</td>\n",
       "      <td>ask me</td>\n",
       "      <td>ask me</td>\n",
       "      <td>my future</td>\n",
       "      <td>out with friends</td>\n",
       "      <td>ask me</td>\n",
       "      <td>you want to.</td>\n",
       "      <td>white</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>other</td>\n",
       "      <td>2012-06-29-22-56</td>\n",
       "      <td>san francisco, california</td>\n",
       "      <td>doesn&amp;rsquo;t have kids</td>\n",
       "      <td>straight</td>\n",
       "      <td>likes dogs and likes cats</td>\n",
       "      <td>agnosticism</td>\n",
       "      <td>m</td>\n",
       "      <td>gemini and it&amp;rsquo;s fun to think about</td>\n",
       "      <td>no</td>\n",
       "      <td>english</td>\n",
       "      <td>single</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>freq</th>\n",
       "      <td>NaN</td>\n",
       "      <td>14652</td>\n",
       "      <td>16585</td>\n",
       "      <td>41780</td>\n",
       "      <td>37724</td>\n",
       "      <td>23959</td>\n",
       "      <td>12</td>\n",
       "      <td>61</td>\n",
       "      <td>82</td>\n",
       "      <td>529</td>\n",
       "      <td>16</td>\n",
       "      <td>6</td>\n",
       "      <td>161</td>\n",
       "      <td>89</td>\n",
       "      <td>45</td>\n",
       "      <td>199</td>\n",
       "      <td>32831</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7589</td>\n",
       "      <td>24</td>\n",
       "      <td>31064</td>\n",
       "      <td>7560</td>\n",
       "      <td>51606</td>\n",
       "      <td>14814</td>\n",
       "      <td>2724</td>\n",
       "      <td>35829</td>\n",
       "      <td>1782</td>\n",
       "      <td>43896</td>\n",
       "      <td>21828</td>\n",
       "      <td>55697</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>32.340290</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>68.295281</td>\n",
       "      <td>20033.222534</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>9.452779</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.994803</td>\n",
       "      <td>97346.192104</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>18.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>26.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>66.000000</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>30.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>68.000000</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>37.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>71.000000</td>\n",
       "      <td>-1.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>110.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>95.000000</td>\n",
       "      <td>1000000.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 age body_type             diet    drinks  drugs  \\\n",
       "count   59946.000000     54650            35551     56961  45866   \n",
       "unique           NaN        12               18         6      3   \n",
       "top              NaN   average  mostly anything  socially  never   \n",
       "freq             NaN     14652            16585     41780  37724   \n",
       "mean       32.340290       NaN              NaN       NaN    NaN   \n",
       "std         9.452779       NaN              NaN       NaN    NaN   \n",
       "min        18.000000       NaN              NaN       NaN    NaN   \n",
       "25%        26.000000       NaN              NaN       NaN    NaN   \n",
       "50%        30.000000       NaN              NaN       NaN    NaN   \n",
       "75%        37.000000       NaN              NaN       NaN    NaN   \n",
       "max       110.000000       NaN              NaN       NaN    NaN   \n",
       "\n",
       "                                education essay0        essay1     essay2  \\\n",
       "count                               53318  54458         52374      50308   \n",
       "unique                                 32  54350         51516      48635   \n",
       "top     graduated from college/university      .  enjoying it.  listening   \n",
       "freq                                23959     12            61         82   \n",
       "mean                                  NaN    NaN           NaN        NaN   \n",
       "std                                   NaN    NaN           NaN        NaN   \n",
       "min                                   NaN    NaN           NaN        NaN   \n",
       "25%                                   NaN    NaN           NaN        NaN   \n",
       "50%                                   NaN    NaN           NaN        NaN   \n",
       "75%                                   NaN    NaN           NaN        NaN   \n",
       "max                                   NaN    NaN           NaN        NaN   \n",
       "\n",
       "          essay3  essay4  essay5     essay6            essay7  essay8  \\\n",
       "count      48470   49409   49096      46175             47495   40721   \n",
       "unique     43533   49260   48963      43603             45554   39324   \n",
       "top     my smile  ask me  ask me  my future  out with friends  ask me   \n",
       "freq         529      16       6        161                89      45   \n",
       "mean         NaN     NaN     NaN        NaN               NaN     NaN   \n",
       "std          NaN     NaN     NaN        NaN               NaN     NaN   \n",
       "min          NaN     NaN     NaN        NaN               NaN     NaN   \n",
       "25%          NaN     NaN     NaN        NaN               NaN     NaN   \n",
       "50%          NaN     NaN     NaN        NaN               NaN     NaN   \n",
       "75%          NaN     NaN     NaN        NaN               NaN     NaN   \n",
       "max          NaN     NaN     NaN        NaN               NaN     NaN   \n",
       "\n",
       "              essay9 ethnicity        height          income    job  \\\n",
       "count          47343     54266  59943.000000    59946.000000  51748   \n",
       "unique         45443       217           NaN             NaN     21   \n",
       "top     you want to.     white           NaN             NaN  other   \n",
       "freq             199     32831           NaN             NaN   7589   \n",
       "mean             NaN       NaN     68.295281    20033.222534    NaN   \n",
       "std              NaN       NaN      3.994803    97346.192104    NaN   \n",
       "min              NaN       NaN      1.000000       -1.000000    NaN   \n",
       "25%              NaN       NaN     66.000000       -1.000000    NaN   \n",
       "50%              NaN       NaN     68.000000       -1.000000    NaN   \n",
       "75%              NaN       NaN     71.000000       -1.000000    NaN   \n",
       "max              NaN       NaN     95.000000  1000000.000000    NaN   \n",
       "\n",
       "             last_online                   location                offspring  \\\n",
       "count              59946                      59946                    24385   \n",
       "unique             30123                        199                       15   \n",
       "top     2012-06-29-22-56  san francisco, california  doesn&rsquo;t have kids   \n",
       "freq                  24                      31064                     7560   \n",
       "mean                 NaN                        NaN                      NaN   \n",
       "std                  NaN                        NaN                      NaN   \n",
       "min                  NaN                        NaN                      NaN   \n",
       "25%                  NaN                        NaN                      NaN   \n",
       "50%                  NaN                        NaN                      NaN   \n",
       "75%                  NaN                        NaN                      NaN   \n",
       "max                  NaN                        NaN                      NaN   \n",
       "\n",
       "       orientation                       pets     religion    sex  \\\n",
       "count        59946                      40025        39720  59946   \n",
       "unique           3                         15           45      2   \n",
       "top       straight  likes dogs and likes cats  agnosticism      m   \n",
       "freq         51606                      14814         2724  35829   \n",
       "mean           NaN                        NaN          NaN    NaN   \n",
       "std            NaN                        NaN          NaN    NaN   \n",
       "min            NaN                        NaN          NaN    NaN   \n",
       "25%            NaN                        NaN          NaN    NaN   \n",
       "50%            NaN                        NaN          NaN    NaN   \n",
       "75%            NaN                        NaN          NaN    NaN   \n",
       "max            NaN                        NaN          NaN    NaN   \n",
       "\n",
       "                                            sign smokes   speaks  status  \n",
       "count                                      48890  54434    59896   59946  \n",
       "unique                                        48      5     7647       5  \n",
       "top     gemini and it&rsquo;s fun to think about     no  english  single  \n",
       "freq                                        1782  43896    21828   55697  \n",
       "mean                                         NaN    NaN      NaN     NaN  \n",
       "std                                          NaN    NaN      NaN     NaN  \n",
       "min                                          NaN    NaN      NaN     NaN  \n",
       "25%                                          NaN    NaN      NaN     NaN  \n",
       "50%                                          NaN    NaN      NaN     NaN  \n",
       "75%                                          NaN    NaN      NaN     NaN  \n",
       "max                                          NaN    NaN      NaN     NaN  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "profiles.describe(include='all')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Quick look at the values:\n",
    "1. Numerical variables:\n",
    "     - The average age is around 32 while the median age is 30, whichs means the distribution of age is left-skewed. Also, the highest age is 110, which might be not the real age. We would figure out what to do with this later.\n",
    "     - The average height is around 68 inches and the median height is 68 inches. This indicates that `height` has a normal distribution. However, there are outliers of 1 inch, which doesn't make any sense. This might be because the users didn't reveal their height. These values will be replaced with `np.nan` later on.\n",
    "     - There is an unsual value (-1.00000000) in the `income` column. This is probably because the users didn't reveal their income. Thus, these values should be replaced with `np.nan`.\n",
    "2. Categorical variables:\n",
    "     - The data is quite messy; similar values are recorded in many different ways."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Clean the data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "        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>body_type</th>\n",
       "      <th>diet</th>\n",
       "      <th>drinks</th>\n",
       "      <th>drugs</th>\n",
       "      <th>education</th>\n",
       "      <th>essay0</th>\n",
       "      <th>essay1</th>\n",
       "      <th>essay2</th>\n",
       "      <th>essay3</th>\n",
       "      <th>essay4</th>\n",
       "      <th>essay5</th>\n",
       "      <th>essay6</th>\n",
       "      <th>essay7</th>\n",
       "      <th>essay8</th>\n",
       "      <th>essay9</th>\n",
       "      <th>ethnicity</th>\n",
       "      <th>job</th>\n",
       "      <th>last_online</th>\n",
       "      <th>location</th>\n",
       "      <th>offspring</th>\n",
       "      <th>orientation</th>\n",
       "      <th>pets</th>\n",
       "      <th>religion</th>\n",
       "      <th>sex</th>\n",
       "      <th>sign</th>\n",
       "      <th>smokes</th>\n",
       "      <th>speaks</th>\n",
       "      <th>status</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>a little extra</td>\n",
       "      <td>strictly anything</td>\n",
       "      <td>socially</td>\n",
       "      <td>never</td>\n",
       "      <td>working on college/university</td>\n",
       "      <td>about me:&lt;br /&gt;\\n&lt;br /&gt;\\ni would love to think...</td>\n",
       "      <td>currently working as an international agent fo...</td>\n",
       "      <td>making people laugh.&lt;br /&gt;\\nranting about a go...</td>\n",
       "      <td>the way i look. i am a six foot half asian, ha...</td>\n",
       "      <td>books:&lt;br /&gt;\\nabsurdistan, the republic, of mi...</td>\n",
       "      <td>food.&lt;br /&gt;\\nwater.&lt;br /&gt;\\ncell phone.&lt;br /&gt;\\n...</td>\n",
       "      <td>duality and humorous things</td>\n",
       "      <td>trying to find someone to hang out with. i am ...</td>\n",
       "      <td>i am new to california and looking for someone...</td>\n",
       "      <td>you want to be swept off your feet!&lt;br /&gt;\\nyou...</td>\n",
       "      <td>asian, white</td>\n",
       "      <td>transportation</td>\n",
       "      <td>2012-06-28-20-30</td>\n",
       "      <td>south san francisco, california</td>\n",
       "      <td>doesn&amp;rsquo;t have kids, but might want them</td>\n",
       "      <td>straight</td>\n",
       "      <td>likes dogs and likes cats</td>\n",
       "      <td>agnosticism and very serious about it</td>\n",
       "      <td>m</td>\n",
       "      <td>gemini</td>\n",
       "      <td>sometimes</td>\n",
       "      <td>english</td>\n",
       "      <td>single</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>average</td>\n",
       "      <td>mostly other</td>\n",
       "      <td>often</td>\n",
       "      <td>sometimes</td>\n",
       "      <td>working on space camp</td>\n",
       "      <td>i am a chef: this is what that means.&lt;br /&gt;\\n1...</td>\n",
       "      <td>dedicating everyday to being an unbelievable b...</td>\n",
       "      <td>being silly. having ridiculous amonts of fun w...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>i am die hard christopher moore fan. i don't r...</td>\n",
       "      <td>delicious porkness in all of its glories.&lt;br /...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>i am very open and will share just about anyth...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>white</td>\n",
       "      <td>hospitality / travel</td>\n",
       "      <td>2012-06-29-21-41</td>\n",
       "      <td>oakland, california</td>\n",
       "      <td>doesn&amp;rsquo;t have kids, but might want them</td>\n",
       "      <td>straight</td>\n",
       "      <td>likes dogs and likes cats</td>\n",
       "      <td>agnosticism but not too serious about it</td>\n",
       "      <td>m</td>\n",
       "      <td>cancer</td>\n",
       "      <td>no</td>\n",
       "      <td>english (fluently), spanish (poorly), french (...</td>\n",
       "      <td>single</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        body_type               diet    drinks      drugs  \\\n",
       "0  a little extra  strictly anything  socially      never   \n",
       "1         average       mostly other     often  sometimes   \n",
       "\n",
       "                       education  \\\n",
       "0  working on college/university   \n",
       "1          working on space camp   \n",
       "\n",
       "                                              essay0  \\\n",
       "0  about me:<br />\\n<br />\\ni would love to think...   \n",
       "1  i am a chef: this is what that means.<br />\\n1...   \n",
       "\n",
       "                                              essay1  \\\n",
       "0  currently working as an international agent fo...   \n",
       "1  dedicating everyday to being an unbelievable b...   \n",
       "\n",
       "                                              essay2  \\\n",
       "0  making people laugh.<br />\\nranting about a go...   \n",
       "1  being silly. having ridiculous amonts of fun w...   \n",
       "\n",
       "                                              essay3  \\\n",
       "0  the way i look. i am a six foot half asian, ha...   \n",
       "1                                                NaN   \n",
       "\n",
       "                                              essay4  \\\n",
       "0  books:<br />\\nabsurdistan, the republic, of mi...   \n",
       "1  i am die hard christopher moore fan. i don't r...   \n",
       "\n",
       "                                              essay5  \\\n",
       "0  food.<br />\\nwater.<br />\\ncell phone.<br />\\n...   \n",
       "1  delicious porkness in all of its glories.<br /...   \n",
       "\n",
       "                        essay6  \\\n",
       "0  duality and humorous things   \n",
       "1                          NaN   \n",
       "\n",
       "                                              essay7  \\\n",
       "0  trying to find someone to hang out with. i am ...   \n",
       "1                                                NaN   \n",
       "\n",
       "                                              essay8  \\\n",
       "0  i am new to california and looking for someone...   \n",
       "1  i am very open and will share just about anyth...   \n",
       "\n",
       "                                              essay9     ethnicity  \\\n",
       "0  you want to be swept off your feet!<br />\\nyou...  asian, white   \n",
       "1                                                NaN         white   \n",
       "\n",
       "                    job       last_online                         location  \\\n",
       "0        transportation  2012-06-28-20-30  south san francisco, california   \n",
       "1  hospitality / travel  2012-06-29-21-41              oakland, california   \n",
       "\n",
       "                                      offspring orientation  \\\n",
       "0  doesn&rsquo;t have kids, but might want them    straight   \n",
       "1  doesn&rsquo;t have kids, but might want them    straight   \n",
       "\n",
       "                        pets                                  religion sex  \\\n",
       "0  likes dogs and likes cats     agnosticism and very serious about it   m   \n",
       "1  likes dogs and likes cats  agnosticism but not too serious about it   m   \n",
       "\n",
       "     sign     smokes                                             speaks  \\\n",
       "0  gemini  sometimes                                            english   \n",
       "1  cancer         no  english (fluently), spanish (poorly), french (...   \n",
       "\n",
       "   status  \n",
       "0  single  \n",
       "1  single  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## create a list of categorical columns\n",
    "cat_cols = profiles.select_dtypes(exclude=np.number).columns.tolist()\n",
    "profiles[cat_cols].head(2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "`education` and `sign` are the columns where values are recorded inconsistently. Since these are all distinctly different, I will have to work on every single one of them. Now take a look at the unique values in each column."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "## create a list of words/phrases to be replaced\n",
    "words_to_replace = ['working on', 'graduated from']\n",
    "\n",
    "## replace words with an empty string\n",
    "for word in words_to_replace:\n",
    "    profiles.education = profiles.education.str.replace(word, '').str.strip()\n",
    "\n",
    "## get the first word in the each string      \n",
    "profiles.sign = profiles.sign.str.split().str.get(0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "    .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>age</th>\n",
       "      <th>height</th>\n",
       "      <th>income</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>59946.000000</td>\n",
       "      <td>59943.000000</td>\n",
       "      <td>59946.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>32.340290</td>\n",
       "      <td>68.295281</td>\n",
       "      <td>20033.222534</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>9.452779</td>\n",
       "      <td>3.994803</td>\n",
       "      <td>97346.192104</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>18.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>-1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>26.000000</td>\n",
       "      <td>66.000000</td>\n",
       "      <td>-1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>30.000000</td>\n",
       "      <td>68.000000</td>\n",
       "      <td>-1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>37.000000</td>\n",
       "      <td>71.000000</td>\n",
       "      <td>-1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>110.000000</td>\n",
       "      <td>95.000000</td>\n",
       "      <td>1000000.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                age        height          income\n",
       "count  59946.000000  59943.000000    59946.000000\n",
       "mean      32.340290     68.295281    20033.222534\n",
       "std        9.452779      3.994803    97346.192104\n",
       "min       18.000000      1.000000       -1.000000\n",
       "25%       26.000000     66.000000       -1.000000\n",
       "50%       30.000000     68.000000       -1.000000\n",
       "75%       37.000000     71.000000       -1.000000\n",
       "max      110.000000     95.000000  1000000.000000"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "num_cols = profiles.select_dtypes(np.number).columns.tolist()\n",
    "profiles[num_cols].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "## replace income's -1.000000 with np.nan\n",
    "profiles.income = profiles.income.replace(-1, np.nan)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Missing values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\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>feature</th>\n",
       "      <th>count</th>\n",
       "      <th>percentage</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>income</td>\n",
       "      <td>48442</td>\n",
       "      <td>0.808094</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>offspring</td>\n",
       "      <td>35561</td>\n",
       "      <td>0.593217</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>diet</td>\n",
       "      <td>24395</td>\n",
       "      <td>0.406950</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>religion</td>\n",
       "      <td>20226</td>\n",
       "      <td>0.337404</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>pets</td>\n",
       "      <td>19921</td>\n",
       "      <td>0.332316</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>essay8</td>\n",
       "      <td>19225</td>\n",
       "      <td>0.320705</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>drugs</td>\n",
       "      <td>14080</td>\n",
       "      <td>0.234878</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>essay6</td>\n",
       "      <td>13771</td>\n",
       "      <td>0.229723</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>essay9</td>\n",
       "      <td>12603</td>\n",
       "      <td>0.210239</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>essay7</td>\n",
       "      <td>12451</td>\n",
       "      <td>0.207704</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>essay3</td>\n",
       "      <td>11476</td>\n",
       "      <td>0.191439</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>sign</td>\n",
       "      <td>11056</td>\n",
       "      <td>0.184433</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>essay5</td>\n",
       "      <td>10850</td>\n",
       "      <td>0.180996</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>essay4</td>\n",
       "      <td>10537</td>\n",
       "      <td>0.175775</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>essay2</td>\n",
       "      <td>9638</td>\n",
       "      <td>0.160778</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>job</td>\n",
       "      <td>8198</td>\n",
       "      <td>0.136756</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>essay1</td>\n",
       "      <td>7572</td>\n",
       "      <td>0.126314</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>education</td>\n",
       "      <td>6628</td>\n",
       "      <td>0.110566</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>ethnicity</td>\n",
       "      <td>5680</td>\n",
       "      <td>0.094752</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>smokes</td>\n",
       "      <td>5512</td>\n",
       "      <td>0.091949</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>essay0</td>\n",
       "      <td>5488</td>\n",
       "      <td>0.091549</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>body_type</td>\n",
       "      <td>5296</td>\n",
       "      <td>0.088346</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>drinks</td>\n",
       "      <td>2985</td>\n",
       "      <td>0.049795</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>speaks</td>\n",
       "      <td>50</td>\n",
       "      <td>0.000834</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>height</td>\n",
       "      <td>3</td>\n",
       "      <td>0.000050</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>sex</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>age</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>orientation</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>location</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>last_online</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>status</td>\n",
       "      <td>0</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        feature  count  percentage\n",
       "0        income  48442    0.808094\n",
       "1     offspring  35561    0.593217\n",
       "2          diet  24395    0.406950\n",
       "3      religion  20226    0.337404\n",
       "4          pets  19921    0.332316\n",
       "5        essay8  19225    0.320705\n",
       "6         drugs  14080    0.234878\n",
       "7        essay6  13771    0.229723\n",
       "8        essay9  12603    0.210239\n",
       "9        essay7  12451    0.207704\n",
       "10       essay3  11476    0.191439\n",
       "11         sign  11056    0.184433\n",
       "12       essay5  10850    0.180996\n",
       "13       essay4  10537    0.175775\n",
       "14       essay2   9638    0.160778\n",
       "15          job   8198    0.136756\n",
       "16       essay1   7572    0.126314\n",
       "17    education   6628    0.110566\n",
       "18    ethnicity   5680    0.094752\n",
       "19       smokes   5512    0.091949\n",
       "20       essay0   5488    0.091549\n",
       "21    body_type   5296    0.088346\n",
       "22       drinks   2985    0.049795\n",
       "23       speaks     50    0.000834\n",
       "24       height      3    0.000050\n",
       "25          sex      0    0.000000\n",
       "26          age      0    0.000000\n",
       "27  orientation      0    0.000000\n",
       "28     location      0    0.000000\n",
       "29  last_online      0    0.000000\n",
       "30       status      0    0.000000"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "null_df = profiles.isnull().sum().sort_values(ascending=False).reset_index().rename(columns={'index':'feature', 0:'count'})\n",
    "null_df['percentage'] = null_df.apply(lambda row: row['count']/len(profiles), axis=1)\n",
    "null_df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Observations:\n",
    "1. There are 18 features where missing values account for more than 10%.  `income` is the column with the most missing values (80%), followed by `offspring`, `diet`, `religion` and `pet` (59%, 40%, 33.7% and 33.2% respectively).\n",
    "2. Our target variable doesn't have any missing values. \n",
    "3. Since we will not use the `essayX` or `last_online` columns, I decide to drop them all. Also, as our models will not work if there're too many missing values, I decide to drop the columns whose missing values percentage is higher than 20%. \n",
    "4. As for the other columns, I decided to fill them with their corresponding most frequent values or their corresponding median values."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "## drop unnecessary columns and columns whose missing values percentage higher than 20%\n",
    "cols_to_drop = profiles.filter(regex='essay.|last_online|income|offspring|diet|religion|pet').columns.tolist()\n",
    "new_profiles = profiles.drop(cols_to_drop, axis=1)\n",
    "\n",
    "## create two list of numerical columns and categorical columns\n",
    "num_cols = new_profiles.select_dtypes(np.number).columns.tolist()\n",
    "cat_cols = new_profiles.select_dtypes(exclude=np.number).columns.tolist()\n",
    "\n",
    "## fill new_profiles np.nan with meaningful values\n",
    "new_profiles[num_cols] = new_profiles[num_cols].apply(lambda x: x.fillna(x.median()))\n",
    "new_profiles[cat_cols] = new_profiles[cat_cols].apply(lambda x: x.fillna(x.value_counts().index[0]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "age            0\n",
       "body_type      0\n",
       "drinks         0\n",
       "drugs          0\n",
       "education      0\n",
       "ethnicity      0\n",
       "height         0\n",
       "job            0\n",
       "location       0\n",
       "orientation    0\n",
       "sex            0\n",
       "sign           0\n",
       "smokes         0\n",
       "speaks         0\n",
       "status         0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## check if there're still Null values\n",
    "new_profiles.isna().sum().sort_values(ascending=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Explore the data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Target variable"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "m    0.597688\n",
      "f    0.402312\n",
      "Name: sex, dtype: float64\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(new_profiles.sex.value_counts(normalize=True))\n",
    "## plot a bar chart for target variable\n",
    "sns.countplot(data=new_profiles, x='sex')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The proportion of female users in this dataset is around 40%, which means that there is some skew in the female class compared to the male class. Yet, here we only have a mild case of imbalanced data. We can overcome this by employing some SMOTE techniques."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Numerical features\n",
    "\n",
    "As discovered in the begining, there are outliers and skewness to our numerical features. Here we will take a closer look by plotting their histograms."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "## plot histograms for age, height \n",
    "plt.figure(figsize=(8,4))\n",
    "plt.subplot(1,2,1)\n",
    "sns.histplot(data=new_profiles, x='age')\n",
    "plt.subplot(1,2,2)\n",
    "sns.histplot(data=new_profiles, x='height')\n",
    "plt.tight_layout()"
   ]
  },
  {
   "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>Skewness</th>\n",
       "      <th>Kurtosis</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Age</th>\n",
       "      <td>1.265773</td>\n",
       "      <td>1.572518</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Height</th>\n",
       "      <td>-0.463061</td>\n",
       "      <td>7.761588</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        Skewness  Kurtosis\n",
       "Age     1.265773  1.572518\n",
       "Height -0.463061  7.761588"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.DataFrame(\n",
    "    {'Skewness':[new_profiles.age.skew(), new_profiles.height.skew()],\n",
    "     'Kurtosis':[new_profiles.age.kurtosis(), new_profiles.height.kurtosis()]}, index=['Age', 'Height'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- As stated before, the distribution of age is slightly left-skewed. Applying log transformation on this feature might help. \n",
    "- The distribution of height looks quite normal. However, there are some outliers ranging from 1 to 40 and over 90, which would affect our models prediction ability. To solve this problem, I will just exclude from the dataset. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "## exclude rows where height is lower than 40 \n",
    "new_profiles = new_profiles.loc[(new_profiles.height > 50) & (new_profiles.height < 90) ]\n",
    "\n",
    "## perform log transformation on age\n",
    "new_profiles.age = np.log(new_profiles.age)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "## plot histograms for age, height \n",
    "plt.figure(figsize=(8,4))\n",
    "plt.subplot(1,2,1)\n",
    "sns.histplot(data=new_profiles, x='age')\n",
    "plt.subplot(1,2,2)\n",
    "sns.histplot(data=new_profiles, x='height')\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Skewness</th>\n",
       "      <th>Kurtosis</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Age</th>\n",
       "      <td>0.587702</td>\n",
       "      <td>-0.058120</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Height</th>\n",
       "      <td>-0.047944</td>\n",
       "      <td>-0.347583</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        Skewness  Kurtosis\n",
       "Age     0.587702 -0.058120\n",
       "Height -0.047944 -0.347583"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.DataFrame(\n",
    "    {'Skewness':[new_profiles.age.skew(), new_profiles.height.skew()],\n",
    "     'Kurtosis':[new_profiles.age.kurtosis(), new_profiles.height.kurtosis()]}, index=['Age', 'Height'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Categorical variales"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "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>body_type</th>\n",
       "      <th>drinks</th>\n",
       "      <th>drugs</th>\n",
       "      <th>education</th>\n",
       "      <th>ethnicity</th>\n",
       "      <th>job</th>\n",
       "      <th>location</th>\n",
       "      <th>orientation</th>\n",
       "      <th>sex</th>\n",
       "      <th>sign</th>\n",
       "      <th>smokes</th>\n",
       "      <th>speaks</th>\n",
       "      <th>status</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>a little extra</td>\n",
       "      <td>socially</td>\n",
       "      <td>never</td>\n",
       "      <td>college/university</td>\n",
       "      <td>asian, white</td>\n",
       "      <td>transportation</td>\n",
       "      <td>south san francisco, california</td>\n",
       "      <td>straight</td>\n",
       "      <td>m</td>\n",
       "      <td>gemini</td>\n",
       "      <td>sometimes</td>\n",
       "      <td>english</td>\n",
       "      <td>single</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>average</td>\n",
       "      <td>often</td>\n",
       "      <td>sometimes</td>\n",
       "      <td>space camp</td>\n",
       "      <td>white</td>\n",
       "      <td>hospitality / travel</td>\n",
       "      <td>oakland, california</td>\n",
       "      <td>straight</td>\n",
       "      <td>m</td>\n",
       "      <td>cancer</td>\n",
       "      <td>no</td>\n",
       "      <td>english (fluently), spanish (poorly), french (...</td>\n",
       "      <td>single</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>thin</td>\n",
       "      <td>socially</td>\n",
       "      <td>never</td>\n",
       "      <td>masters program</td>\n",
       "      <td>white</td>\n",
       "      <td>other</td>\n",
       "      <td>san francisco, california</td>\n",
       "      <td>straight</td>\n",
       "      <td>m</td>\n",
       "      <td>pisces</td>\n",
       "      <td>no</td>\n",
       "      <td>english, french, c++</td>\n",
       "      <td>available</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>thin</td>\n",
       "      <td>socially</td>\n",
       "      <td>never</td>\n",
       "      <td>college/university</td>\n",
       "      <td>white</td>\n",
       "      <td>student</td>\n",
       "      <td>berkeley, california</td>\n",
       "      <td>straight</td>\n",
       "      <td>m</td>\n",
       "      <td>pisces</td>\n",
       "      <td>no</td>\n",
       "      <td>english, german (poorly)</td>\n",
       "      <td>single</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>athletic</td>\n",
       "      <td>socially</td>\n",
       "      <td>never</td>\n",
       "      <td>college/university</td>\n",
       "      <td>asian, black, other</td>\n",
       "      <td>artistic / musical / writer</td>\n",
       "      <td>san francisco, california</td>\n",
       "      <td>straight</td>\n",
       "      <td>m</td>\n",
       "      <td>aquarius</td>\n",
       "      <td>no</td>\n",
       "      <td>english</td>\n",
       "      <td>single</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        body_type    drinks      drugs           education  \\\n",
       "0  a little extra  socially      never  college/university   \n",
       "1         average     often  sometimes          space camp   \n",
       "2            thin  socially      never     masters program   \n",
       "3            thin  socially      never  college/university   \n",
       "4        athletic  socially      never  college/university   \n",
       "\n",
       "             ethnicity                          job  \\\n",
       "0         asian, white               transportation   \n",
       "1                white         hospitality / travel   \n",
       "2                white                        other   \n",
       "3                white                      student   \n",
       "4  asian, black, other  artistic / musical / writer   \n",
       "\n",
       "                          location orientation sex      sign     smokes  \\\n",
       "0  south san francisco, california    straight   m    gemini  sometimes   \n",
       "1              oakland, california    straight   m    cancer         no   \n",
       "2        san francisco, california    straight   m    pisces         no   \n",
       "3             berkeley, california    straight   m    pisces         no   \n",
       "4        san francisco, california    straight   m  aquarius         no   \n",
       "\n",
       "                                              speaks     status  \n",
       "0                                            english     single  \n",
       "1  english (fluently), spanish (poorly), french (...     single  \n",
       "2                               english, french, c++  available  \n",
       "3                           english, german (poorly)     single  \n",
       "4                                            english     single  "
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new_profiles[cat_cols].head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Body type"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:ylabel='body_type'>"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "table=pd.crosstab(new_profiles.body_type,new_profiles.sex)\n",
    "table.div(table.sum(1).astype(float), axis=0).plot(kind='barh', stacked=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "`Body Type` seems to be a good predictor for the target variable."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Drinks"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:ylabel='drinks'>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "table=pd.crosstab(new_profiles.drinks,new_profiles.sex)\n",
    "table.div(table.sum(1).astype(float), axis=0).plot(kind='barh', stacked=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "`Drinking habit` doesn't seem to be a good predictor for the target variable."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Drugs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:ylabel='drugs'>"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "table=pd.crosstab(new_profiles.drugs,new_profiles.sex)\n",
    "table.div(table.sum(1).astype(float), axis=0).plot(kind='barh', stacked=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "`Drugs` doesn't seem to be a good predictor for the target variable."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Education"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:ylabel='education'>"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "table=pd.crosstab(new_profiles.education,new_profiles.sex)\n",
    "table.div(table.sum(1).astype(float), axis=0).plot(kind='barh', stacked=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "`Education` might be a good predictor for our target variable."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Ethnicity"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:ylabel='ethnicity'>"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x3600 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "table=pd.crosstab(new_profiles.ethnicity,new_profiles.sex)\n",
    "table.div(table.sum(1).astype(float), axis=0).plot(kind='barh', stacked=True, figsize=(10,50))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "`Ethnicity` might be a good predictor for our target variable."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Job"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:ylabel='job'>"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "table=pd.crosstab(new_profiles.job,new_profiles.sex)\n",
    "table.div(table.sum(1).astype(float), axis=0).plot(kind='barh', stacked=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "`Job` might be a good predictor for our target variable."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Orientation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:ylabel='orientation'>"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "table=pd.crosstab(new_profiles.orientation,new_profiles.sex)\n",
    "table.div(table.sum(1).astype(float), axis=0).plot(kind='barh', stacked=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "`Sexual Orientation` might be a good predictor for our target variable."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Smokes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:ylabel='smokes'>"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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meXezzzuA76+hvDOBi5Pc7cQTSRqcrp4nl+QDwLPozDAE+HNg0apZjT0tqDPh5LvAq6vqh+PcdpOqerAZyZ0HnF1V5/WhxiXA/LEmkqwPnyc3sfk8OalP+vg8ua5GclX19iQHAXvSOfd1Zp/CY0c60+7PG2/ANY5vLsCeQeeavi/1sDxJ0gam28OVVNUXknxt1TZJnrJqJmOvVNXNwNPXY/uje1jO4+1nZBD7kSStn65CLsn/At4N/DedZ8qFzmzDdQ4kSZL6rduR3NHAM3t9DkqSpH7qdobk7cBD/SxEkqRe63Yk9w7gqiTXMupC7Ko6qi9VTVLztt2MBSceOOwytEbrNwNM0uB1G3Jn0LkX5CI65+QkSZrwug25x6rqbX2tRJKkHuv2nNxlSY5IMivJU1Z99bUySZLWU7cjuVW3engHv32jYi8hkCRNWN2O5I4Bdq6qOcC/03lOW6+eQiBJUl90G3L/WFX3J3kBsD9wDvCRvlUlSVIPdBtyq54GcCBwelV9GXhCf0qSJKk3ug25O5OcQeeBqV9pnp027kftSJI0SN0G1WvoPMD0pVV1H/AU4O39KkqSpF7o9lE7DwFfHPX+buDufhUlSVIveMhRktRahpwkqbUMOUlSaxlykqTWMuQkSa1lyEmSWsuQkyS1liEnSWotQ06S1FqGnCSptQw5SVJrdftkcA3AojuXM3LsRcMuQz2wZMbBwy5B2nAcv7xvTTuSkyS1liEnSWotQ06S1FqGnCSptQw5SVJrGXKSpNaa9CGXZPMkbxr1fpsknx9mTZKk3pj0IQdsDvw65Krqrqp61fDKkST1yoQNuSRPSnJRkhuSLE7y50n2TfK9JIuSnJ1kerPukiQnJLk6yYIkuyW5JMntSY4c1ebbk3wnyY1J3tV8fCKwXZLrk3wgyUiSxc36b0zypSQXJLkjyZuTvK2p4ZokT2nW2y7JV5MsTPKtJNs3n7+6qf2GJFcM9jsoSZrIdzx5KXBXVR0IkGQzYDGwb1X9IMnHgb8GTmnW/0lVPS/JycA5wJ7ADOAm4PQkLwbmAs8GApyfZG/gWGCnqtql2c/IanXsBOzatHUbcExV7drs5w3N/s8EjqyqHyZ5DvBh4I+BdwIvqao7k2zeu2+NJKkbE3YkBywC9kvy/iR7ASPAHVX1g2b5x4C9R61//qjtrq2qB6rqHuDhJmBe3Hx9D/gusD2d0Fuby0a1tRy4YNR+RpJsAjwf+FyS64EzgFnNOt8GzknyV8BGYzWe5Ihm9LlgxUP9u7WNJE1GE3Yk14zWdgcOAN4HXLqWTR5p/l056vWq91PpjN7eV1VnjN5ojJHbmtpdve1V7U4B7ls1ElytD0c2I7sDgeuT7FJVy1Zb50w6I0Gmz5pba6lFkjQOE3Ykl2Qb4KGq+g/gJDqjpZEkf9is8nrg8nE0eQnwF83IiyTbJnkq8ACw6brWWVX3A3ckeXXTbpLs3Lzerqqurap3AvcCv7+u+5Ekjd+EHckB84APJFkJPErn/NtmdA4LTgW+A5zebWNVdWmSHYCrkwA8CLyuqm5P8u1mssnFwIfWodZDgI8k+UdgGvBp4Iam/rl0RpH/2XwmSRqQVHmEbKKYPmtuzTr0lGGXoR7wUTvSOKzno3aSLKyq+WMtm7CHKyVJWl+GnCSptQw5SVJrGXKSpNYy5CRJrTWRLyGYdOZtuxkLTjxw2GWoJ7x7jTQROJKTJLWWISdJai1DTpLUWoacJKm1DDlJUmsZcpKk1jLkJEmtZchJklrLkJMktZYhJ0lqLUNOktRahpwkqbUMOUlSaxlykqTWMuQkSa1lyEmSWsuQkyS1liEnSWotQ06S1FqGnCSptQw5SVJrTR12AfqNRXcuZ+TYi4ZdhiaIJTMOHnYJ0mAcv7xvTTuSkyS1liEnSWotQ06S1FqGnCSptQw5SVJrGXKSpNYy5CRJrWXISZJay5CTJLWWIdcDSUaS3JLk35LclOTSJE9MskuSa5LcmOS8JFsMu1ZJmkwMud6ZC3yoqp4J3AccBHwcOKaqngUsAo5bfaMkRyRZkGTBiof6d2sbSZqMDLneuaOqrm9eLwS2Azavqsubzz4G7L36RlV1ZlXNr6r5G2282WAqlaRJwpDrnUdGvV4BbD6kOiRJDUOuf5YDv0iyV/P+9cDlj7O+JKnHfNROfx0KnJ5kY+BHwGFDrkeSJhVDrgeqagmw06j3J41a/NyBFyRJAjxcKUlqMUNOktRahpwkqbUMOUlSaxlykqTWcnblBDJv281YcOKBwy5DE4a3eZPWlyM5SVJrGXKSpNYy5CRJrWXISZJay5CTJLWWISdJai1DTpLUWoacJKm1DDlJUmsZcpKk1kpVDbsGNZI8ANw67DqGaEvg3mEXMUT23/5P1v6vb9+fVlVbjbXAe1dOLLdW1fxhFzEsSRbYf/s/7DqGZTL3v59993ClJKm1DDlJUmsZchPLmcMuYMjs/+Rm/yevvvXdiSeSpNZyJCdJai1DTpLUWobcECR5aZJbk9yW5NgxlifJac3yG5PsNow6+6WL/h/S9PvGJFcl2XkYdfbL2vo/ar09kqxI8qpB1tdP3fQ9yT5Jrk9yU5LLB11jP3Xxf3+zJBckuaHp/2HDqLMfkpyd5GdJFq9heX9+71WVXwP8AjYCbgeeDjwBuAHYcbV1DgAuBgI8F7h22HUPuP/PB7ZoXr9ssvV/1HrfAL4CvGrYdQ/wZ785cDPwB837pw677gH3/++B9zevtwJ+Djxh2LX3qP97A7sBi9ewvC+/9xzJDd6zgduq6kdV9Svg08ArV1vnlcDHq+MaYPMkswZdaJ+stf9VdVVV/aJ5ew0we8A19lM3P3+AvwG+APxskMX1WTd9Pxj4YlX9GKCqJlv/C9g0SYBN6ITcY4Mtsz+q6go6/VmTvvzeM+QGb1vgJ6PeL20+G+86G6rx9u0v6fx11xZr7X+SbYE/BU4fYF2D0M3P/hnAFkm+mWRhkjcMrLr+66b/HwR2AO4CFgFvqaqVgylv6Prye8/beg1exvhs9es4ullnQ9V135K8iE7IvaCvFQ1WN/0/BTimqlZ0/qBvjW76PhXYHdgXeCJwdZJrquoH/S5uALrp/0uA64E/BrYDvpbkW1V1f59rmwj68nvPkBu8pcDvj3o/m85fbeNdZ0PVVd+SPAs4C3hZVS0bUG2D0E3/5wOfbgJuS+CAJI9V1ZcGUmH/dPt//96q+iXwyyRXADsDbQi5bvp/GHBidU5S3ZbkDmB74LrBlDhUffm95+HKwfsOMDfJnCRPAF4LnL/aOucDb2hmGz0XWF5Vdw+60D5Za/+T/AHwReD1LfkLfrS19r+q5lTVSFWNAJ8H3tSCgIPu/u9/GdgrydQkGwPPAW4ZcJ390k3/f0xnFEuSrYE/An400CqHpy+/9xzJDVhVPZbkzcAldGZbnV1VNyU5sll+Op0ZdQcAtwEP0fnrrhW67P87gZnAh5vRzGPVkruzd9n/Vuqm71V1S5KvAjcCK4GzqmrMKecbmi5/9u8BzkmyiM7hu2OqqhWP30nyKWAfYMskS4HjgGnQ39973tZLktRaHq6UJLWWISdJai1DTpLUWoacJKm1DDlJUmsZcpKk1jLkJEmt9f8B1ZLELOEeoBIAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "table=pd.crosstab(new_profiles.smokes,new_profiles.sex)\n",
    "table.div(table.sum(1).astype(float), axis=0).plot(kind='barh', stacked=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "`Smoking habit` doesn't seem to be a good predictor for our target variable."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Status"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:ylabel='status'>"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "table=pd.crosstab(new_profiles.status,new_profiles.sex)\n",
    "table.div(table.sum(1).astype(float), axis=0).plot(kind='barh', stacked=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "`Status` doesn't seem to be a good predictor for our target variable."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Encode categorical variables and target variable"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "## import encoding libraries\n",
    "from sklearn.preprocessing import LabelEncoder"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "## encode categorical variables\n",
    "encoder = LabelEncoder()\n",
    "for column in cat_cols:\n",
    "    new_profiles[f'{column}_code'] = encoder.fit_transform(new_profiles[column])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "## map target variables\n",
    "new_profiles.sex = new_profiles.sex.map({'m':0, 'f':1})"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Build classification models"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "metadata": {},
   "outputs": [],
   "source": [
    "## import essential libraries\n",
    "from sklearn.model_selection import train_test_split, GridSearchCV, RepeatedStratifiedKFold, cross_val_score\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "from sklearn.pipeline import Pipeline\n",
    "from imblearn.over_sampling import SMOTENC, SMOTE\n",
    "\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.neighbors import KNeighborsClassifier\n",
    "from sklearn.ensemble import RandomForestClassifier\n",
    "from sklearn.tree import DecisionTreeClassifier\n",
    "\n",
    "from sklearn.metrics import classification_report, confusion_matrix"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "X = new_profiles.filter(\n",
    "    ['age', 'height', 'body_type_code', 'education_code', 'ethnicity_code', 'job_code', 'orientation_code'])\n",
    "y = new_profiles.sex"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Since the data is imbalanced, I will add the parameter `stratify` when using train_test_split. This stratify parameter makes a split so that the proportion of values in the sample produced will be the same as the proportion of values provided to parameter stratify.\n",
    "\n",
    "For example, if variable y is a binary categorical variable with values 0 and 1 and there are 25% of zeros and 75% of ones, stratify=y will make sure that your random split has 25% of 0's and 75% of 1's."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "metadata": {},
   "outputs": [],
   "source": [
    "## split data into traning set and testing set\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, train_size=0.8, random_state=42)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Find the best parameters using GridSearchCV\n",
    "`GridSearchCV` helps to loop through predefined hyperparameters and fit your estimator (model) on your training set. So, in the end, you can select the best parameters from the listed hyperparameters."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "## create a list to store models\n",
    "estimators = []\n",
    "\n",
    "## control how data is splitted\n",
    "cv = RepeatedStratifiedKFold(n_splits=10, n_repeats=3, random_state=42)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Logistic Regression"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Best parameters: {'C': 17, 'max_iter': 1000}\n",
      "Best score: 0.8050033617804383\n"
     ]
    }
   ],
   "source": [
    "params = {\n",
    "    'C': range(1,20),\n",
    "    'max_iter':[1000]\n",
    "}\n",
    "\n",
    "log_reg = LogisticRegression()\n",
    "clf_log = GridSearchCV(log_reg, param_grid=params, scoring='f1', cv=cv)\n",
    "clf_log.fit(X_train, y_train)\n",
    "\n",
    "print(f'Best parameters: {clf_log.best_params_}')\n",
    "print(f'Best score: {clf_log.best_score_}')\n",
    "\n",
    "estimators.append(['Log', clf_log.best_estimator_])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### KNeighbors"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Best parameters: {'algorithm': 'ball_tree', 'n_neighbors': 9}\n",
      "Best score: 0.8157551354279248\n"
     ]
    }
   ],
   "source": [
    "params = {\n",
    "    'n_neighbors': range(1,10),\n",
    "}\n",
    "\n",
    "kneighbors = KNeighborsClassifier()\n",
    "clf_kneighbors = GridSearchCV(kneighbors, param_grid=params, scoring='f1', cv=cv)\n",
    "clf_kneighbors.fit(X_train, y_train)\n",
    "\n",
    "print(f'Best parameters: {clf_kneighbors.best_params_}')\n",
    "print(f'Best score: {clf_kneighbors.best_score_}')\n",
    "\n",
    "estimators.append(['KNeighbors', clf_kneighbors.best_estimator_])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Decision Tree"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Best parameters: {'criterion': 'entropy', 'max_depth': 9}\n",
      "Best score: 0.8215032666404686\n"
     ]
    }
   ],
   "source": [
    "params = {\n",
    "    'criterion':['gini','entropy'],\n",
    "    'max_depth': np.arange(3, 15)\n",
    "}\n",
    "\n",
    "dtree = DecisionTreeClassifier()\n",
    "clf_dtree = GridSearchCV(dtree, param_grid=params, scoring='f1', cv=cv)\n",
    "clf_dtree.fit(X_train, y_train)\n",
    "\n",
    "print(f'Best parameters: {clf_dtree.best_params_}')\n",
    "print(f'Best score: {clf_dtree.best_score_}')\n",
    "\n",
    "estimators.append(['Decision Tree', clf_dtree.best_estimator_])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Random Forest "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Best parameters: {'criterion': 'entropy', 'max_depth': 50, 'max_features': 2, 'min_samples_leaf': 3, 'min_samples_split': 8, 'n_estimators': 200}\n",
      "Best score: 0.8406031241274207\n"
     ]
    }
   ],
   "source": [
    "params = {\n",
    "    'n_estimators': [100, 200],\n",
    "    'criterion':['gini','entropy'],\n",
    "    'max_depth': [10, 30, 50],\n",
    "    'max_features': [2, 3],\n",
    "    'min_samples_split': [8, 10, 12],\n",
    "    'min_samples_leaf': [3, 4, 5]\n",
    "}\n",
    "\n",
    "rf = RandomForestClassifier()\n",
    "clf_rf = GridSearchCV(rf, param_grid=params, scoring='f1', cv=cv)\n",
    "clf_rf.fit(X_train, y_train)\n",
    "\n",
    "print(f'Best parameters: {clf_rf.best_params_}')\n",
    "print(f'Best score: {clf_rf.best_score_}')\n",
    "\n",
    "estimators.append(['Random Forest', clf_rf.best_estimator_])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Compare the models"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "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>Model</th>\n",
       "      <th>Accuracy</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Log</td>\n",
       "      <td>0.846170</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>KNeighbors</td>\n",
       "      <td>0.855027</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Decision Tree</td>\n",
       "      <td>0.857949</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Random Forest</td>\n",
       "      <td>0.873290</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           Model  Accuracy\n",
       "0            Log  0.846170\n",
       "1     KNeighbors  0.855027\n",
       "2  Decision Tree  0.857949\n",
       "3  Random Forest  0.873290"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## perform cross validation using `cross_val_score`\n",
    "scores_df = {'Model':[], 'Accuracy':[]}\n",
    "for name, model in estimators:\n",
    "    accuracies = cross_val_score(model, X_train, y_train, scoring='accuracy', cv=cv, n_jobs=-1)\n",
    "    scores_df['Model'].append(name)\n",
    "    scores_df['Accuracy'].append(accuracies.mean())\n",
    "\n",
    "scores_df = pd.DataFrame(scores_df)\n",
    "scores_df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Based the results from cross validation, Random Forest is the best model."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "RandomForestClassifier(criterion='entropy', max_depth=50, max_features=2,\n",
       "                       min_samples_leaf=3, min_samples_split=8,\n",
       "                       n_estimators=200)"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## fit the training data to RandomForest model\n",
    "clf_final = estimators[3][1]\n",
    "clf_final.fit(X_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.88      0.90      0.89      7094\n",
      "           1       0.85      0.83      0.84      4884\n",
      "\n",
      "    accuracy                           0.87     11978\n",
      "   macro avg       0.87      0.87      0.87     11978\n",
      "weighted avg       0.87      0.87      0.87     11978\n",
      "\n"
     ]
    }
   ],
   "source": [
    "## evaluate the model\n",
    "scores = classification_report(y_test, clf_final.predict(X_test))\n",
    "print(scores)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(83.40000000000006, 0.5, 'Actual')"
      ]
     },
     "execution_count": 88,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "table = confusion_matrix(y_test, clf_final.predict(X_test))\n",
    "\n",
    "## plot a heatmap \n",
    "sns.heatmap(table, xticklabels=True, yticklabels=True,\n",
    "            annot=True, fmt='d', square=True)\n",
    "plt.xlabel('Predicted')\n",
    "plt.ylabel('Actual')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Randorm Forest with SMOTENC"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "metadata": {},
   "outputs": [],
   "source": [
    "## create a SMOTENC object\n",
    "smote = SMOTENC(categorical_features=[2,3,4,5,6], random_state=42)\n",
    "X_oversample, y_oversample = smotenc.fit_resample(X_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "RandomForestClassifier(criterion='entropy', max_depth=50, max_features=2,\n",
       "                       min_samples_leaf=3, min_samples_split=8,\n",
       "                       n_estimators=200)"
      ]
     },
     "execution_count": 111,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## fit oversampled data to RandomForest model\n",
    "clf_final2 = estimators[3][1]\n",
    "clf_final2.fit(X_oversample, y_oversample)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.90      0.88      0.89      7094\n",
      "           1       0.83      0.86      0.84      4884\n",
      "\n",
      "    accuracy                           0.87     11978\n",
      "   macro avg       0.86      0.87      0.87     11978\n",
      "weighted avg       0.87      0.87      0.87     11978\n",
      "\n"
     ]
    }
   ],
   "source": [
    "## evaluate the model\n",
    "scores2 = classification_report(y_test, clf_final2.predict(X_test))\n",
    "print(scores2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(83.40000000000006, 0.5, 'Actual')"
      ]
     },
     "execution_count": 113,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "table2 = confusion_matrix(y_test, clf_final2.predict(X_test))\n",
    "\n",
    "## plot a heatmap \n",
    "sns.heatmap(table2, xticklabels=True, yticklabels=True,\n",
    "            annot=True, fmt='d', square=True)\n",
    "plt.xlabel('Predicted')\n",
    "plt.ylabel('Actual')"
   ]
  },
  {
   "cell_type": "markdown",
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    "In conclusion, the oversampled data don't improve our `RandomForest` model for prediction purposes."
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