spotify_classification.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Final Project Machine Learning Course\n",
    "\n",
    "> Spotify dataset classification\n",
    "\n",
    "<img alt=\"spotify-logo\" src=\"https://upload.wikimedia.org/wikipedia/commons/thumb/1/19/Spotify_logo_without_text.svg/2048px-Spotify_logo_without_text.svg.png\" width=\"30\" height=\"30\">\n",
    "\n",
    "### <i>Dataset <a href=\"https://www.kaggle.com/datasets/yamaerenay/spotify-dataset-19212020-600k-tracks?select=tracks.csv\">link</a></i>\n",
    "\n",
    "\n",
    "# Goal\n",
    "The goal of this project is to train machine learning models (supervised) that will classified the popularity of a spotify song to three classes:\n",
    "1. high popular\n",
    "2. medium popular\n",
    "3. non popular"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# data science models\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib.ticker import FormatStrFormatter\n",
    "%matplotlib inline\n",
    "\n",
    "# others\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')\n",
    "warnings.simplefilter('ignore')\n",
    "\n",
    "# utils\n",
    "from utils import get_date_times, apply_popularity, get_years\n",
    "\n",
    "# learning models\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.neighbors import KNeighborsClassifier\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "from sklearn.metrics import classification_report, confusion_matrix, plot_confusion_matrix\n",
    "import xgboost as xgb\n",
    "from sklearn.neural_network import MLPClassifier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "shape of tracks data set is: 586672 rows × 20 columns\n"
     ]
    }
   ],
   "source": [
    "# read data\n",
    "tracks = pd.read_csv(\"data/tracks.csv\")\n",
    "print(f\"shape of tracks data set is: {tracks.shape[0]} rows × {tracks.shape[1]} columns\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plot functions"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "def print_pie(values, lables):\n",
    "    \"\"\"\n",
    "    Function that get values and labels and ploting a pie\n",
    "    \"\"\"\n",
    "    values = list(values)\n",
    "    fig, ax = plt.subplots()\n",
    "    fig.set_figheight(7)\n",
    "    fig.set_figwidth(7)\n",
    "    ax.pie(values, labels=lables, autopct='%1.1f%%', shadow=True, startangle=90)\n",
    "    ax.axis('equal')\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "def my_plot_confusion_matrix(clf, X_test, y_test, title: str = None):\n",
    "    \"\"\"\n",
    "    Function that ploting confusion_matrix\n",
    "    \"\"\"\n",
    "    matrix = plot_confusion_matrix(clf, X_test, y_test, cmap=plt.cm.Blues)\n",
    "    matrix.ax_.set_title(title if title else 'Confusion matrix')\n",
    "    plt.xlabel('Predicted Label')\n",
    "    plt.ylabel('True label')\n",
    "    plt.gcf().set_size_inches(10, 6)\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# function that print the accuracy of a classification model\n",
    "def print_accuracy(clf, X_train, X_test, y_train, y_test):\n",
    "    # fit the train data to the model\n",
    "    clf.fit(X_train, y_train)\n",
    "\n",
    "    # get the pridictions of X_test\n",
    "    pridictions = clf.predict(X_test)\n",
    "\n",
    "    # get the accuracy of the model\n",
    "    accuracy = clf.score(X_test, y_test)\n",
    "\n",
    "    # print the accuracy\n",
    "    print(classification_report(y_test, pridictions))\n",
    "    print('accuracy of the model is: {} %'.format(\"%.2f\" % (accuracy * 100)))\n",
    "    return accuracy"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Understanding the data:"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Data features:\n",
    "\n",
    "1. acousticness (Ranges from 0 to 1)\n",
    "2. artists (List of artists mentioned)\n",
    "3. danceability (Ranges from 0 to 1)\n",
    "4. duration_ms (Integer typically ranging from 200k to 300k)\n",
    "5. energy (Ranges from 0 to 1)\n",
    "6. explicit (0 = No explicit content, 1 = Explicit content) ## Categorical:\n",
    "7. id (Id of track generated by Spotify) ## Numerical:\n",
    "8. id_artists\n",
    "9. instrumentalness (Ranges from 0 to 1)\n",
    "10. key (All keys on octave encoded as values ranging from 0 to 11, starting on C as 0, C# as 1 and so on…)\n",
    "11. liveness (Ranges from 0 to 1)\n",
    "12. loudness (Float typically ranging from -60 to 0)\n",
    "13. mode (0 = Minor, 1 = Major)\n",
    "14. name (Name of the song)\n",
    "15. popularity (Ranges from 0 to 100)\n",
    "16. release_date (Date of release mostly in yyyy-mm-dd format, however precision of date may vary)\n",
    "17. speechiness (Ranges from 0 to 1)\n",
    "18. tempo (Float typically ranging from 50 to 150)\n",
    "19. time_signature\n",
    "20. valence (Ranges from 0 to 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
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       "      <td>-21.180</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0512</td>\n",
       "      <td>0.994</td>\n",
       "      <td>0.0218</td>\n",
       "      <td>0.212</td>\n",
       "      <td>0.457</td>\n",
       "      <td>130.418</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
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       "      <td>0.397</td>\n",
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       "      <td>Lady of the Evening</td>\n",
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       "      <td>['Dick Haymes']</td>\n",
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       "      <td>0.196</td>\n",
       "      <td>103.220</td>\n",
       "      <td>4</td>\n",
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      "text/plain": [
       "                       id                                 name  popularity  \\\n",
       "0  35iwgR4jXetI318WEWsa1Q                                Carve           6   \n",
       "1  021ht4sdgPcrDgSk7JTbKY  Capítulo 2.16 - Banquero Anarquista           0   \n",
       "2  07A5yehtSnoedViJAZkNnc   Vivo para Quererte - Remasterizado           0   \n",
       "3  08FmqUhxtyLTn6pAh6bk45        El Prisionero - Remasterizado           0   \n",
       "4  08y9GfoqCWfOGsKdwojr5e                  Lady of the Evening           0   \n",
       "\n",
       "   duration_ms  explicit              artists                  id_artists  \\\n",
       "0       126903         0              ['Uli']  ['45tIt06XoI0Iio4LBEVpls']   \n",
       "1        98200         0  ['Fernando Pessoa']  ['14jtPCOoNZwquk5wd9DxrY']   \n",
       "2       181640         0  ['Ignacio Corsini']  ['5LiOoJbxVSAMkBS2fUm3X2']   \n",
       "3       176907         0  ['Ignacio Corsini']  ['5LiOoJbxVSAMkBS2fUm3X2']   \n",
       "4       163080         0      ['Dick Haymes']  ['3BiJGZsyX9sJchTqcSA7Su']   \n",
       "\n",
       "  release_date  danceability  energy  key  loudness  mode  speechiness  \\\n",
       "0   1922-02-22         0.645  0.4450    0   -13.338     1       0.4510   \n",
       "1   1922-06-01         0.695  0.2630    0   -22.136     1       0.9570   \n",
       "2   1922-03-21         0.434  0.1770    1   -21.180     1       0.0512   \n",
       "3   1922-03-21         0.321  0.0946    7   -27.961     1       0.0504   \n",
       "4         1922         0.402  0.1580    3   -16.900     0       0.0390   \n",
       "\n",
       "   acousticness  instrumentalness  liveness  valence    tempo  time_signature  \n",
       "0         0.674            0.7440     0.151    0.127  104.851               3  \n",
       "1         0.797            0.0000     0.148    0.655  102.009               1  \n",
       "2         0.994            0.0218     0.212    0.457  130.418               5  \n",
       "3         0.995            0.9180     0.104    0.397  169.980               3  \n",
       "4         0.989            0.1300     0.311    0.196  103.220               4  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tracks.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
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       "      <td>What They'll Say About Us</td>\n",
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       "      <td>['FINNEAS']</td>\n",
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       "      <td>2020-09-02</td>\n",
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       "      <td>2021-03-05</td>\n",
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       "      <td>['Afrosound']</td>\n",
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       "      <td>0.000000</td>\n",
       "      <td>0.2640</td>\n",
       "      <td>0.9750</td>\n",
       "      <td>112.204</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                            id                       name  popularity  \\\n",
       "586667  5rgu12WBIHQtvej2MdHSH0                        云与海          50   \n",
       "586668  0NuWgxEp51CutD2pJoF4OM                      blind          72   \n",
       "586669  27Y1N4Q4U3EfDU5Ubw8ws2  What They'll Say About Us          70   \n",
       "586670  45XJsGpFTyzbzeWK8VzR8S            A Day At A Time          58   \n",
       "586671  5Ocn6dZ3BJFPWh4ylwFXtn           Mar de Emociones          38   \n",
       "\n",
       "        duration_ms  explicit                          artists  \\\n",
       "586667       258267         0                      ['阿YueYue']   \n",
       "586668       153293         0                   ['ROLE MODEL']   \n",
       "586669       187601         0                      ['FINNEAS']   \n",
       "586670       142003         0  ['Gentle Bones', 'Clara Benin']   \n",
       "586671       214360         0                    ['Afrosound']   \n",
       "\n",
       "                                               id_artists release_date  \\\n",
       "586667                         ['1QLBXKM5GCpyQQSVMNZqrZ']   2020-09-26   \n",
       "586668                         ['1dy5WNgIKQU6ezkpZs4y8z']   2020-10-21   \n",
       "586669                         ['37M5pPGs6V1fchFJSgCguX']   2020-09-02   \n",
       "586670  ['4jGPdu95icCKVF31CcFKbS', '5ebPSE9YI5aLeZ1Z2g...   2021-03-05   \n",
       "586671                         ['0i4Qda0k4nf7jnNHmSNpYv']   2015-07-01   \n",
       "\n",
       "        danceability  energy  key  loudness  mode  speechiness  acousticness  \\\n",
       "586667         0.560   0.518    0    -7.471     0       0.0292         0.785   \n",
       "586668         0.765   0.663    0    -5.223     1       0.0652         0.141   \n",
       "586669         0.535   0.314    7   -12.823     0       0.0408         0.895   \n",
       "586670         0.696   0.615   10    -6.212     1       0.0345         0.206   \n",
       "586671         0.686   0.723    6    -7.067     1       0.0363         0.105   \n",
       "\n",
       "        instrumentalness  liveness  valence    tempo  time_signature  \n",
       "586667          0.000000    0.0648   0.2110  131.896               4  \n",
       "586668          0.000297    0.0924   0.6860  150.091               4  \n",
       "586669          0.000150    0.0874   0.0663  145.095               4  \n",
       "586670          0.000003    0.3050   0.4380   90.029               4  \n",
       "586671          0.000000    0.2640   0.9750  112.204               4  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tracks.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 586672 entries, 0 to 586671\n",
      "Data columns (total 20 columns):\n",
      " #   Column            Non-Null Count   Dtype  \n",
      "---  ------            --------------   -----  \n",
      " 0   id                586672 non-null  object \n",
      " 1   name              586601 non-null  object \n",
      " 2   popularity        586672 non-null  int64  \n",
      " 3   duration_ms       586672 non-null  int64  \n",
      " 4   explicit          586672 non-null  int64  \n",
      " 5   artists           586672 non-null  object \n",
      " 6   id_artists        586672 non-null  object \n",
      " 7   release_date      586672 non-null  object \n",
      " 8   danceability      586672 non-null  float64\n",
      " 9   energy            586672 non-null  float64\n",
      " 10  key               586672 non-null  int64  \n",
      " 11  loudness          586672 non-null  float64\n",
      " 12  mode              586672 non-null  int64  \n",
      " 13  speechiness       586672 non-null  float64\n",
      " 14  acousticness      586672 non-null  float64\n",
      " 15  instrumentalness  586672 non-null  float64\n",
      " 16  liveness          586672 non-null  float64\n",
      " 17  valence           586672 non-null  float64\n",
      " 18  tempo             586672 non-null  float64\n",
      " 19  time_signature    586672 non-null  int64  \n",
      "dtypes: float64(9), int64(6), object(5)\n",
      "memory usage: 89.5+ MB\n"
     ]
    }
   ],
   "source": [
    "tracks.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "id                   0\n",
       "name                71\n",
       "popularity           0\n",
       "duration_ms          0\n",
       "explicit             0\n",
       "artists              0\n",
       "id_artists           0\n",
       "release_date         0\n",
       "danceability         0\n",
       "energy               0\n",
       "key                  0\n",
       "loudness             0\n",
       "mode                 0\n",
       "speechiness          0\n",
       "acousticness         0\n",
       "instrumentalness     0\n",
       "liveness             0\n",
       "valence              0\n",
       "tempo                0\n",
       "time_signature       0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# another check for finding null objects\n",
    "tracks.isnull().sum()\n",
    "\n",
    "# as we can see there is null objects at name feature but we drop this feature anyway in data cleaning"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Minimum release date is: 1900-01-01\n",
      "Maximum release date is: 2021-04-16\n"
     ]
    }
   ],
   "source": [
    "date_times = get_date_times(tracks['release_date'])\n",
    "print(f\"Minimum release date is: {min(date_times).strftime('%Y-%m-%d')}\")\n",
    "print(f\"Maximum release date is: {max(date_times).strftime('%Y-%m-%d')}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    586672.000000\n",
       "mean         27.570053\n",
       "std          18.370642\n",
       "min           0.000000\n",
       "25%          13.000000\n",
       "50%          27.000000\n",
       "75%          41.000000\n",
       "max         100.000000\n",
       "Name: popularity, dtype: float64"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tracks['popularity'].describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Show the 10 most popular tracks:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "most_popular_tracks = tracks.nlargest(10, 'popularity')\n",
    "fig, ax = plt.subplots()\n",
    "ax = sns.barplot(x=most_popular_tracks['popularity'].values, y=most_popular_tracks['name'].values)\n",
    "ax.set_xlabel(\"Popularity\")\n",
    "ax.set_title(\"Top 10 Tracks\", fontsize=15)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Show the 10 most popular artists:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "most_popular_artists = tracks.groupby('artists')['popularity'].mean().sort_values(ascending=False).head(10)\n",
    "fig, ax = plt.subplots()\n",
    "ax = sns.barplot(x=most_popular_artists.values, y=most_popular_artists.index)\n",
    "ax.set_xlabel(\"Popularity\")\n",
    "ax.set_title(\"Top 10 Artists\", fontsize=15)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1440x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20, 10))\n",
    "sns.heatmap(tracks.corr(), annot=True, cmap=\"YlGnBu\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Create feature with the year of the release date of the track"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "tracks['year'] = pd.to_numeric(get_years(tracks['release_date']))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Show ratio of each numerical value with popularity"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1980x180 with 11 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "pp = sns.pairplot(data=tracks,\n",
    "                  y_vars=['popularity'],\n",
    "                  x_vars=['danceability', 'energy', 'loudness', 'speechiness', 'instrumentalness', 'liveness',\n",
    "                   'valence', 'tempo', 'year', 'key', 'duration_ms'],\n",
    "                  kind='scatter', plot_kws={'color': 'b', 'alpha': 0.1}, palette='r')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 180x180 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "pp = sns.pairplot(data=tracks,\n",
    "                  y_vars=['popularity'],\n",
    "                  x_vars=['explicit'],\n",
    "                  kind='scatter', plot_kws={'color': 'b', 'alpha': 0.1}, palette='r')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:title={'center':'Growth of popularity by years'}, xlabel='year'>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "tracks.groupby('year')['popularity'].mean().plot(title=\"Growth of popularity by years\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:title={'center':\"Growth of popularity of 'The Beatles' by years\"}, xlabel='year'>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "beatles = tracks[tracks['artists'] == \"['The Beatles']\"]\n",
    "beatles.groupby('year')['popularity'].mean().plot(title=\"Growth of popularity of 'The Beatles' by years\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:title={'center':\"Growth of popularity of 'Eminem' by years\"}, xlabel='year'>"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "beatles = tracks[tracks['artists'] == \"['Eminem']\"]\n",
    "beatles.groupby('year')['popularity'].mean().plot(title=\"Growth of popularity of 'Eminem' by years\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Clearing the data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Remove tracks with 0 popularity (outliners)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0      44690\n",
       "1      12024\n",
       "2       9639\n",
       "3       8154\n",
       "4       7733\n",
       "       ...  \n",
       "96         2\n",
       "97         2\n",
       "98         1\n",
       "99         1\n",
       "100        1\n",
       "Name: popularity, Length: 101, dtype: int64"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# as we can see there is 44690 tracks with 0 popularity, we want to delete theme to make our data more balanced\n",
    "tracks['popularity'].value_counts().sort_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "# remove all the tracks with popularity of 0\n",
    "tracks = tracks[tracks.popularity != 0]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Remove duplicate tracks, keep only the one with the max popularity"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "removed 53347 duplicates tracks\n"
     ]
    }
   ],
   "source": [
    "# remove each row that the name of the artiest + the name of the track is the same - save the maximum value of popularity\n",
    "tracks['artists+name'] = tracks.apply(lambda row: str(row['artists']) + str(row['name']), axis=1)\n",
    "num_of_rows_before_remove_duplicates = tracks.shape[0]\n",
    "tracks = tracks[tracks['popularity'] == tracks.groupby('artists+name')['popularity'].transform('max')]\n",
    "print(f\"removed {num_of_rows_before_remove_duplicates - tracks.shape[0]} duplicates tracks\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Make popularity to be classification values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "# apply popularity for classification in the following format:\n",
    "# \n",
    "# if <= 70 popularity             - high popular      value: 2\n",
    "# else if 40 <= popularity < 70   - medium popular    value: 1\n",
    "# else, popularity < 40           - non popular       value: 0\n",
    "\n",
    "tracks['popularity'] = tracks['popularity'].apply(lambda x: apply_popularity(x))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 504x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot the relative between popularities\n",
    "values = tracks['popularity'].value_counts()\n",
    "labels = ['non popula', 'medium popular', 'high popular']\n",
    "print_pie(values, labels)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Drop unnecessary features"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "# drop id & name of the song\n",
    "tracks = tracks.drop(columns=['id','name','artists', 'id_artists', 'release_date', 'artists+name'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Normalize some values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\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>popularity</th>\n",
       "      <th>duration_ms</th>\n",
       "      <th>explicit</th>\n",
       "      <th>danceability</th>\n",
       "      <th>energy</th>\n",
       "      <th>key</th>\n",
       "      <th>loudness</th>\n",
       "      <th>mode</th>\n",
       "      <th>speechiness</th>\n",
       "      <th>acousticness</th>\n",
       "      <th>instrumentalness</th>\n",
       "      <th>liveness</th>\n",
       "      <th>valence</th>\n",
       "      <th>tempo</th>\n",
       "      <th>time_signature</th>\n",
       "      <th>year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>126903</td>\n",
       "      <td>0</td>\n",
       "      <td>0.645</td>\n",
       "      <td>0.4450</td>\n",
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       "      <td>-13.338</td>\n",
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       "      <td>0.674</td>\n",
       "      <td>0.744000</td>\n",
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       "      <td>0.127</td>\n",
       "      <td>104.851</td>\n",
       "      <td>3</td>\n",
       "      <td>1922</td>\n",
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       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>0</td>\n",
       "      <td>186800</td>\n",
       "      <td>0</td>\n",
       "      <td>0.703</td>\n",
       "      <td>0.2800</td>\n",
       "      <td>0</td>\n",
       "      <td>-15.390</td>\n",
       "      <td>1</td>\n",
       "      <td>0.1740</td>\n",
       "      <td>0.995</td>\n",
       "      <td>0.000068</td>\n",
       "      <td>0.163</td>\n",
       "      <td>0.897</td>\n",
       "      <td>127.531</td>\n",
       "      <td>4</td>\n",
       "      <td>1922</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>0</td>\n",
       "      <td>180800</td>\n",
       "      <td>0</td>\n",
       "      <td>0.420</td>\n",
       "      <td>0.2880</td>\n",
       "      <td>7</td>\n",
       "      <td>-14.005</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0701</td>\n",
       "      <td>0.994</td>\n",
       "      <td>0.000216</td>\n",
       "      <td>0.196</td>\n",
       "      <td>0.400</td>\n",
       "      <td>139.575</td>\n",
       "      <td>3</td>\n",
       "      <td>1922</td>\n",
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       "    <tr>\n",
       "      <th>149</th>\n",
       "      <td>1</td>\n",
       "      <td>177133</td>\n",
       "      <td>0</td>\n",
       "      <td>0.614</td>\n",
       "      <td>0.0423</td>\n",
       "      <td>4</td>\n",
       "      <td>-12.033</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0535</td>\n",
       "      <td>0.996</td>\n",
       "      <td>0.002930</td>\n",
       "      <td>0.183</td>\n",
       "      <td>0.211</td>\n",
       "      <td>89.822</td>\n",
       "      <td>4</td>\n",
       "      <td>1923</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150</th>\n",
       "      <td>0</td>\n",
       "      <td>161933</td>\n",
       "      <td>0</td>\n",
       "      <td>0.831</td>\n",
       "      <td>0.2620</td>\n",
       "      <td>8</td>\n",
       "      <td>-12.386</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0942</td>\n",
       "      <td>0.984</td>\n",
       "      <td>0.912000</td>\n",
       "      <td>0.204</td>\n",
       "      <td>0.901</td>\n",
       "      <td>104.606</td>\n",
       "      <td>4</td>\n",
       "      <td>1923</td>\n",
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       "    <tr>\n",
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       "      <td>0.996</td>\n",
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       "      <td>80.468</td>\n",
       "      <td>4</td>\n",
       "      <td>1923</td>\n",
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       "    <tr>\n",
       "      <th>152</th>\n",
       "      <td>0</td>\n",
       "      <td>192600</td>\n",
       "      <td>0</td>\n",
       "      <td>0.665</td>\n",
       "      <td>0.2540</td>\n",
       "      <td>8</td>\n",
       "      <td>-9.879</td>\n",
       "      <td>1</td>\n",
       "      <td>0.1080</td>\n",
       "      <td>0.976</td>\n",
       "      <td>0.002170</td>\n",
       "      <td>0.644</td>\n",
       "      <td>0.503</td>\n",
       "      <td>125.734</td>\n",
       "      <td>4</td>\n",
       "      <td>1923</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>153</th>\n",
       "      <td>0</td>\n",
       "      <td>181173</td>\n",
       "      <td>0</td>\n",
       "      <td>0.709</td>\n",
       "      <td>0.0620</td>\n",
       "      <td>5</td>\n",
       "      <td>-12.207</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0480</td>\n",
       "      <td>0.995</td>\n",
       "      <td>0.003410</td>\n",
       "      <td>0.120</td>\n",
       "      <td>0.553</td>\n",
       "      <td>85.854</td>\n",
       "      <td>4</td>\n",
       "      <td>1923</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>154</th>\n",
       "      <td>0</td>\n",
       "      <td>167640</td>\n",
       "      <td>0</td>\n",
       "      <td>0.693</td>\n",
       "      <td>0.0270</td>\n",
       "      <td>0</td>\n",
       "      <td>-13.506</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0562</td>\n",
       "      <td>0.992</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.134</td>\n",
       "      <td>0.402</td>\n",
       "      <td>75.749</td>\n",
       "      <td>4</td>\n",
       "      <td>1923</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>155</th>\n",
       "      <td>0</td>\n",
       "      <td>201480</td>\n",
       "      <td>0</td>\n",
       "      <td>0.771</td>\n",
       "      <td>0.0905</td>\n",
       "      <td>3</td>\n",
       "      <td>-7.788</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0613</td>\n",
       "      <td>0.986</td>\n",
       "      <td>0.000141</td>\n",
       "      <td>0.152</td>\n",
       "      <td>0.601</td>\n",
       "      <td>87.571</td>\n",
       "      <td>4</td>\n",
       "      <td>1923</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     popularity  duration_ms  explicit  danceability  energy  key  loudness  \\\n",
       "0             0       126903         0         0.645  0.4450    0   -13.338   \n",
       "13            0       186800         0         0.703  0.2800    0   -15.390   \n",
       "26            0       180800         0         0.420  0.2880    7   -14.005   \n",
       "149           1       177133         0         0.614  0.0423    4   -12.033   \n",
       "150           0       161933         0         0.831  0.2620    8   -12.386   \n",
       "151           0       206600         0         0.537  0.0443    3   -16.474   \n",
       "152           0       192600         0         0.665  0.2540    8    -9.879   \n",
       "153           0       181173         0         0.709  0.0620    5   -12.207   \n",
       "154           0       167640         0         0.693  0.0270    0   -13.506   \n",
       "155           0       201480         0         0.771  0.0905    3    -7.788   \n",
       "\n",
       "     mode  speechiness  acousticness  instrumentalness  liveness  valence  \\\n",
       "0       1       0.4510         0.674          0.744000     0.151    0.127   \n",
       "13      1       0.1740         0.995          0.000068     0.163    0.897   \n",
       "26      1       0.0701         0.994          0.000216     0.196    0.400   \n",
       "149     1       0.0535         0.996          0.002930     0.183    0.211   \n",
       "150     1       0.0942         0.984          0.912000     0.204    0.901   \n",
       "151     0       0.0343         0.996          0.000265     0.152    0.137   \n",
       "152     1       0.1080         0.976          0.002170     0.644    0.503   \n",
       "153     1       0.0480         0.995          0.003410     0.120    0.553   \n",
       "154     0       0.0562         0.992          0.000000     0.134    0.402   \n",
       "155     1       0.0613         0.986          0.000141     0.152    0.601   \n",
       "\n",
       "       tempo  time_signature  year  \n",
       "0    104.851               3  1922  \n",
       "13   127.531               4  1922  \n",
       "26   139.575               3  1922  \n",
       "149   89.822               4  1923  \n",
       "150  104.606               4  1923  \n",
       "151   80.468               4  1923  \n",
       "152  125.734               4  1923  \n",
       "153   85.854               4  1923  \n",
       "154   75.749               4  1923  \n",
       "155   87.571               4  1923  "
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# tracks before normalizaion\n",
    "tracks.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "blacklist_features = ['popularity', 'explicit', 'mode']\n",
    "\n",
    "def min_max_scaling(df):\n",
    "    \"\"\"\n",
    "    Apply the min-max scaling in Pandas using the .min() and .max() methods\n",
    "    \"\"\"\n",
    "    df_norm = df.copy()\n",
    "    for column in df_norm.columns:\n",
    "        if column not in blacklist_features:\n",
    "            df_norm[column] = (df_norm[column] - df_norm[column].min()) / (df_norm[column].max() - df_norm[column].min())\n",
    "    return df_norm\n",
    "    \n",
    "tracks = min_max_scaling(tracks)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>popularity</th>\n",
       "      <th>duration_ms</th>\n",
       "      <th>explicit</th>\n",
       "      <th>danceability</th>\n",
       "      <th>energy</th>\n",
       "      <th>key</th>\n",
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       "      <th>acousticness</th>\n",
       "      <th>instrumentalness</th>\n",
       "      <th>liveness</th>\n",
       "      <th>valence</th>\n",
       "      <th>tempo</th>\n",
       "      <th>time_signature</th>\n",
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       "      <td>0.055098</td>\n",
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       "      <td>0.183</td>\n",
       "      <td>0.211</td>\n",
       "      <td>0.364565</td>\n",
       "      <td>0.8</td>\n",
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       "      <th>150</th>\n",
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       "      <td>0.838547</td>\n",
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       "      <td>0</td>\n",
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       "      <td>0.402</td>\n",
       "      <td>0.307447</td>\n",
       "      <td>0.8</td>\n",
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       "      <td>0.0905</td>\n",
       "      <td>0.272727</td>\n",
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       "      <td>1</td>\n",
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       "      <td>0.152</td>\n",
       "      <td>0.601</td>\n",
       "      <td>0.355429</td>\n",
       "      <td>0.8</td>\n",
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       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     popularity  duration_ms  explicit  danceability  energy       key  \\\n",
       "0             0     0.020012         0      0.650858  0.4450  0.000000   \n",
       "13            0     0.030695         0      0.709384  0.2800  0.000000   \n",
       "26            0     0.029625         0      0.423814  0.2880  0.636364   \n",
       "149           1     0.028971         0      0.619576  0.0423  0.363636   \n",
       "150           0     0.026260         0      0.838547  0.2620  0.727273   \n",
       "151           0     0.034227         0      0.541877  0.0443  0.272727   \n",
       "152           0     0.031730         0      0.671039  0.2540  0.727273   \n",
       "153           0     0.029691         0      0.715439  0.0620  0.454545   \n",
       "154           0     0.027278         0      0.699294  0.0270  0.000000   \n",
       "155           0     0.033313         0      0.778002  0.0905  0.272727   \n",
       "\n",
       "     loudness  mode  speechiness  acousticness  instrumentalness  liveness  \\\n",
       "0    0.713748     1     0.464470      0.676707          0.744000     0.151   \n",
       "13   0.682360     1     0.179197      0.998996          0.000068     0.163   \n",
       "26   0.703546     1     0.072194      0.997992          0.000216     0.196   \n",
       "149  0.733710     1     0.055098      1.000000          0.002930     0.183   \n",
       "150  0.728310     1     0.097013      0.987952          0.912000     0.204   \n",
       "151  0.665779     0     0.035324      1.000000          0.000265     0.152   \n",
       "152  0.766657     1     0.111226      0.979920          0.002170     0.644   \n",
       "153  0.731048     1     0.049434      0.998996          0.003410     0.120   \n",
       "154  0.711178     0     0.057878      0.995984          0.000000     0.134   \n",
       "155  0.798642     1     0.063131      0.989960          0.000141     0.152   \n",
       "\n",
       "     valence     tempo  time_signature      year  \n",
       "0      0.127  0.425564             0.6  0.181818  \n",
       "13     0.897  0.517617             0.8  0.181818  \n",
       "26     0.400  0.566501             0.6  0.181818  \n",
       "149    0.211  0.364565             0.8  0.190083  \n",
       "150    0.901  0.424570             0.8  0.190083  \n",
       "151    0.137  0.326600             0.8  0.190083  \n",
       "152    0.503  0.510323             0.8  0.190083  \n",
       "153    0.553  0.348460             0.8  0.190083  \n",
       "154    0.402  0.307447             0.8  0.190083  \n",
       "155    0.601  0.355429             0.8  0.190083  "
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# tracks after normalizaion\n",
    "tracks.head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Classification Models"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "feature_cols = ['duration_ms', 'explicit', 'danceability', 'energy', 'key', 'loudness',\n",
    "                'mode', 'speechiness', 'acousticness', 'instrumentalness',\n",
    "                'liveness', 'valence', 'tempo', 'time_signature', 'year']\n",
    "X = tracks[feature_cols]\n",
    "y = tracks['popularity']\n",
    "\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, random_state=42, test_size=0.30, shuffle=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Using KNeighborsClassifier model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.79      0.87      0.83    103814\n",
      "           1       0.54      0.43      0.48     40683\n",
      "           2       0.20      0.01      0.02      2094\n",
      "\n",
      "    accuracy                           0.74    146591\n",
      "   macro avg       0.51      0.44      0.44    146591\n",
      "weighted avg       0.71      0.74      0.72    146591\n",
      "\n",
      "accuracy of the model is: 73.56 %\n"
     ]
    }
   ],
   "source": [
    "# get the classifier (found that 5 neighbors is the best predicter)\n",
    "nclf = KNeighborsClassifier(n_neighbors=5)\n",
    "\n",
    "# print accuracy\n",
    "knn_acc = print_accuracy(nclf, X_train, X_test, y_train, y_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 720x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "my_plot_confusion_matrix(nclf, X_test, y_test, title=\"confusion matrix KNeighborsClassifier\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Using LogisticRegression classifier model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.80      0.90      0.85    103814\n",
      "           1       0.60      0.45      0.51     40683\n",
      "           2       0.00      0.00      0.00      2094\n",
      "\n",
      "    accuracy                           0.76    146591\n",
      "   macro avg       0.47      0.45      0.45    146591\n",
      "weighted avg       0.74      0.76      0.74    146591\n",
      "\n",
      "accuracy of the model is: 76.17 %\n"
     ]
    }
   ],
   "source": [
    "# get the classifier \n",
    "lclf = LogisticRegression()\n",
    "\n",
    "# print accuracy\n",
    "lgr_acc = print_accuracy(lclf, X_train, X_test, y_train, y_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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VPPfGVL79aUG6w6rcymE0qbtf4+5/cfcd3f3kMFL0N3fv6e7tw8+lCcvf6O7t3L2Du7+aUD4lrKOdu5+X2/pz97Xufqy7b+fue7j7T8XFlLJkGK4DuR84FOgIHB+uF6mUtm/TjE+/msWadevJydnAB9Nm0mf/XVi5em3eMrVqVCOxJX7Yfjvzy7wlfPvTr0nryq2TlZlB1SqZeDivO2fBUqbPnM+GolvzUgK779yOulvVTCqbPX8Jp18xnKPOuYsTLrqfH2cvKqR2sklTvmPvLttTr05N6m5Vk727bM/7n34HRL+Mhwx7mcvO7LPZ90GKN3X6LNq2bkSbVo2oWiWLo3p1Zvy7X6Y7rErNUjyatKJKZctwD2Cmu//k7n8CTxONIKqUZvw4n+67bUf9urWoUa0Kvbp3omXT6AYJV51zBF+/fAPH9u7KTQ+/AkDN6lW58JRe3Dp8fIHrG3vvIH544xZWrV7HCxM/K7f9iLOr7xrL1ef1Y9yDF/PPs/pw3b3PlajewiUraNa4Xt77po3rsjB0hY9+4QN6dutEk4Z1UhGyFGPB4hV5/w8BWjStz4LFK4qoIVKwVJ4zLOjakD3zLxSG3UZDb6vUTmE4m+b7WQu5Z+QEnh96Hqv/WMf0H+aRnRN1W//7wZf494MvcfGpB3PmcT24Zdh4rjjrcB586i1Wr/mzwPUdc8H9VKuaxbAbTqVH1w68M/nb8tyd2Fm9Zh2fTZ/FhTeMyiv7c302AM+9NpmRz08CYPa8JQy88hGqVMmiVbMG3H/dqUmt/VxmUZJ87d0vGHXnOeWzE/I/Cjs2smkqcwuvrFKZDEt0nYe7DyM6eUpGzSYVun9w9IsfMfrFjwC4+twjmL9oedL8sa99yjN3n8Mtw8bTtdM29D1wV647vx91t6rBhg3OunXrGf7se3nLr/szm1ff+4rD9ttJyTDFfINTp3YNXnj4kv+Zd3TvPTi69x5AdM7w5sv706pZg7z5zRrXY/IXP+a9X7h4BXvs0o4ZM+cxe/5vHHzKLQCsWbeeXqfczISRg1O8N5KrRZN6zFu4LO/9/IXLaNaobhoj2jIoGW5ehV0bUmk1ql+bJctW0appffocsAsHn3YHbVs35qc5iwHo3WNnvp+1EIDDBt6dV++fZx7G6jXrGP7se9SqUZXaNauz8LffyczMoNfeHfn4sx8L2pxsRrVrVadVswa8+u4XHLrfLrg73/20gL+0a1Fs3X26duDOR8fnDZqZNPU7Ljn9MOrVqckHz16Tt9xufa5UIixnnTtuw4+zF/PLvCU0b1KPcROmMfyGU9MdVqWnZLh5fQq0D9eFzCMa2npCCreXciNvPYP6dWuRnZ3DZUPGsGLlGu696kTab9OEDRucOb8u5ZKbny5yHTVrVOPJO8+iWpUsMjIzeP/T73l0XNRFt1vHrRk15Ezq1alJ73124oqzDqf7324sj13b4lxy42gmf/Ejy1aspkf/Gzh/wMHcNvgErr1nHA8+8SbZ2TkcdsCuJUqG9erU5NwTe3HMoHsAGHRSL+rVqVlMLSkPWVmZDLn8OI6+4H5ycpwTj9yLHdo1T3dYlVvp7jG6xbBirkPctJWbHQbcTXRX8kfdvcjf7Bk1m3i1DselLB7Z/L578/Z0hyCl1KRu9XSHIKWw955dmTp1Srmlp6xGbb3u4WX/I3zpyBOmFnMHmgoppRfdu/t4oODhlCIiUiGpm1RERGIt9zrDuFEyFBGRJHFMhrpRt4iIxJ5ahiIikix+DUMlQxERSWDx7CZVMhQRkSRKhiIiEntxTIYaQCMiIrGnlqGIiOTRdYYiIiKg0aQiIhJzGk0qIiISz2SoATQiIhJ7ahmKiEiSOLYMlQxFRCRZ/HKhkqGIiCSLY8tQ5wxFRCT21DIUEZE8ZrroXkRERMlQREREyVBERCR+uVADaERERNQyFBGRJOomFRGReNONukVEJO4MiGEu1DlDERERtQxFRCSBLroXERGJZTepkqGIiCRRy1BEROLN4tky1AAaERGJPbUMRUQkjwEZGfFrGioZiohIkjh2kyoZiohIEg2gERGReNMAGhERkXhSy1BERPJE9yaNX9NQyVBERBLodmwiIiI6ZygiIhJHahmKiEgSdZOKiEi8xfTSCiVDERHJo9GkIiIixLNlqAE0IiISe2oZiohIEnWTiohI7MUwFyoZiohIAlPLMO06tGvJiLH/TncYUgrL/1if7hCklJrUrZ7uEKQCi0aTpjuK8qcBNCIiEnsVqmUoIiLppht1i4iIxLKbVMlQRESSxLFlqHOGIiJSrsysnpmNNbNvzWyGmXUzswZmNsHMfgg/6ycsP9jMZprZd2Z2SEJ5FzP7Ksy710IWN7NqZvZMKP/EzNoUF5OSoYiIbBRu1F3WVwndA7zm7n8BdgFmAFcAE929PTAxvMfMOgL9gU5Ab+ABM8sM63kQGAi0D6/eofx0YJm7bwfcBdxaXEBKhiIikif3Rt1lfRW7frM6QA/gPwDu/qe7Lwf6Ao+HxR4H+oXpvsDT7r7O3X8GZgJ7mFlzoI67f+TuDozMVyd3XWOBnlZMcEqGIiKSZBOTYSMzm5LwGphv9W2BxcBjZvaZmT1iZrWApu6+ACD8bBKWbwnMSag/N5S1DNP5y5PquHs2sAJoWNQ+awCNiIgk2cTxM0vcvWsR87OAzsD57v6Jmd1D6BItLJwCyryI8qLqFEotQxERKU9zgbnu/kl4P5YoOS4MXZ+En4sSlm+dUL8VMD+UtyqgPKmOmWUBdYGlRQWlZCgiIklSec7Q3X8F5phZh1DUE/gGeBEYEMoGAC+E6ReB/mGE6LZEA2Umh67UlWa2VzgfeEq+OrnrOgZ4K5xXLJS6SUVEZKPSjQotq/OBJ8ysKvAT8HeixtkYMzsdmA0cC+Du081sDFHCzAYGuXtOWM85wAigBvBqeEE0OGeUmc0kahH2Ly4gJUMREclj5XA7Nnf/HCjovGLPQpa/EbixgPIpwI4FlK8lJNOSUjIUEZEkMbwBjc4ZioiIqGUoIiJJMmLYNFQyFBGRJDHMhUqGIiKyUXSP0fhlQ50zFBGR2FPLUEREkmTEr2GoZCgiIsni2E2qZCgiIklimAuVDEVEZCMjugtN3GgAjYiIxJ5ahiIikkQDaEREJN5K+CimLY2SoYiIJIlhLlQyFBGRjYx43ptUA2hERCT21DIUEZEkMWwYKhmKiEgyDaAREZFYi55ake4oyl+hydDM7gO8sPnufkFKIhIRESlnRbUMp5RbFCIiUmHEcTRpocnQ3R9PfG9mtdx9depDEhGRdIpfKizBpRVm1s3MvgFmhPe7mNkDKY9MRETSwsJdaMryqqxKcp3h3cAhwG8A7v4F0COFMYmISJpEF92X/VVZleiie3efk68oJwWxiIiIpEVJLq2YY2bdATezqsAFhC5TERHZwlTy7s6yKkkyPBu4B2gJzANeBwalMigREUmfGObC4pOhuy8BTiyHWEREpAKIY8uwJKNJ25rZS2a22MwWmdkLZta2PIITEZHypQE0hXsSGAM0B1oAzwJPpTIoERGR8lSSZGjuPsrds8NrNEXcpk1ERCq3OF5nWNS9SRuEybfN7ArgaaIk+DfglXKITURE0qDyprSyK2oAzVSi5Jf7uZyVMM+BG1IVlIiIpIeZ7k2axN23Lc9ARERE0qVEzzM0sx2BjkD13DJ3H5mqoEREJH1i2DAsPhma2TXA/kTJcDxwKDAJUDIUEdkCVeaBMGVVkpbhMcAuwGfu/nczawo8ktqwKp5FS5Zz033PsXT5KjLM6NOrK8cc3p0HR77Gh1O+pUpWJi2aNeCfg45iq1o18uotXLycARffy6nHHkj/vvsAsH59Nvf852U+n/4zZsYZJ/Riv7068cU3PzP0sfH8+MtC/nXxcezfbcd07e4W4YZ7xvLBlG+pX7c2Tw29CIDvf5rPLQ/8lz/XZ5OZmcHlZ/el0/at+eSzH7h/5GtkZ+eQlZXJBaceRtdd2rF23Z8MvvVJ5i1YSkaGse8eOzBoQG8Anvzv+7wwYQpZGRnUq1uLqy44muZN6qdxj+PpzQ+/YfAdY8nZsIGT+3bn4lMPTndIlV4Mc2GJkuEad99gZtlmVgdYBBR70b2ZPQr0ARa5e6X/rZ6Zmcm5Aw5l+7Yt+GPNOgZe/gBdd96Orju348wTe5GVmcnDo17nyXHvcdbJh+TVu3/EePbctX3SukaPe5d6dWsx+r6L2bBhA7+vWgNAk0b1uGLQ0Tzz4qRy3bctVZ+eXTi2Tzeuu+vZvLL7RrzKGcf3pHuXDnww5VuGjniVB28aSL06tbjjqgE0bliHH3/5lQuveYyXRwwG4MR++9J153asX5/NoKv/w4dTv6N7lw5s37YFj985iOrVqvLc+I8ZOuJVbrz8hHTtbizl5GzgsiFjeH7oebRoWo8DB9zGoT124i9tm6c7tErLsFgOoCnJdYZTzKweMJxohOk0YHIJ6o0Aepc5sgqmYf2t2L5tCwBq1qjGNi0bs2Tp7+y+a3uyMjMB6Lh9axb/tiKvzvuTv6F50wa0ad0kaV3j35rKiX/dD4CMjAzq1akFQPMm9WnXphlWmW/jUIHstuO21KldM6nMzFj9xzoAVq1eS6MGdQDo0K4FjRtG0223bsq69ev5c3021atVpevO7QCoUiWLDu1asGhJdIy77tyO6tWqArBjh61ZtOT3ctkv2Wjq9Fm0bd2INq0aUbVKFkf16sz4d79Md1hSCZXk3qTnhsmHzOw1oI67F/ttc/f3zKzNJsZXIS1YtIwfZi1gh/atksrHvzWVA/beCYA1a//kqf++z+1Xn5rU0lu5OmoFPvr0m3w+/WdaNG3AhWccQYN6tctvB2Ls4jP6cOE1j3LvY+PxDc7wIWf/zzJvffg1Hdq2oGqV5P8eK1etYdLkGfQ/Yu//qfPihE/p1mX7lMUtBVuweAUtm27smm7RtD5Tv56VvoC2BBbPbtJCW4Zm1jn/C2gAZIXpWPpjzTquuf0pzjv1MGrVzBtcy6jn3iEzM4Ne++4CwGPPTOTYPt2pWaNaUv2cnA0s/u13dvzLNgy/bRCdOmzNgyNfLdd9iLNxr37MRWf04aVHr+CiMw7nxvueS5r/0+yF3P/4a1xx7l+TyrNzcrj69qc5rk93WjZrkDTv1bc/Y8bMeZx0lJ55Xd7c//dmWHH8Rb656Q40ye4oYp4DB26OAMxsIDAQoFmLVsUsnV7Z2Tlcc/tTHLTvLvTYq1Ne+WvvTOOjqd9x5zV/z/syzPhhLu9+PJ2HRr3OqtVrycgwqlbN4q+996R6tSrsu8cOAOzfrRPjJ05Ny/7E0StvTeOSM48AoOfeO3HjfePy5i1csoLLbxrFNRcdS6vmDZPq3Tz0eVq3aMjxYRBUrsmfz2TEs2/z4E0D/6clKanXokk95i1clvd+/sJlNGtUN40RbRlK9NT3LUxRF90fUB4BuPswYBjADjvtVmHveeruDHngebZu1ZjjErrJPvnse5767/vcc90ZeeePAO7795l50489M5Ea1atx1KF7AdCty1/4fPrPdN6pHVO/+oltWjUuvx2JucYN6jDt65/pslNbpnz5I61bRElv5ao1XHL9CM49pTe7dGyTVOeh0W+w6o+1/N/5RyWVf/fjfG554Hnuvvbv6uZOk84dt+HH2Yv5Zd4Smjepx7gJ0xh+w6npDqtSM3RphRThq29/4Y33Pqft1k05/dKhAJx5Qi/uffQV1q/P5h83PAZAx/at+cdZfYtc11knH8xN945l6GPjqVenFv8cFP2S/XbmXK4a8iSrVq/hoynfMuKZtxhx9wWp3bEt2FW3PcW0r39m+e+r6fP3mxl4/EEMPu8o7hz+Ejk5G6hWNYvB4bN/9pWPmLvgNx595i0efeYtAO697jTWZ+fw2Ji3adOqMadcHB33Yw/vRt+Dd+e+EeP5Y82fXHnrkwA0a1yP2686JT07G1NZWZkMufw4jr7gfnJynBOP3Isd2mkkqZSeFdTnvllWbPYU0cX6jYCFwDXu/p+i6uyw024+4r9vpyQeSY0aVTPTHYKU0vbNt0p3CFIKe+/ZlalTp5RbU63pdjv68XeMLXP9e/rtMNXdu27GkMpFylqG7n58qtYtIiKpE8eru0rypHszs5PM7F/h/dZmtkfqQxMRkfJmFs/RpCUZNPQA0A3IbemtBO5PWUQiIiLlrCTdpHu6e2cz+wzA3ZeZWdXiKomISOUUx27SkiTD9WaWSXRtIWbWGNiQ0qhERCRtKnFvZ5mVJBneCzwPNDGzG4meYnFVSqMSEZG0MPSk+wK5+xNmNhXoSfQ59XP3GSmPTERE0kJ3oCmAmW0N/AG8lFjm7rNTGZiIiEh5KUk36StE5wsNqA5sC3wHdCqqkoiIVE4x7CUtUTfpTonvwxMrzkpZRCIikjZm8Xy4b6nvQOPu08xs91QEIyIi6RfDXFiic4aXJLzNADoDi1MWkYiISDkrScsw8a6+2UTnEJ8rZFkREankdNF9PuFi+9ruflk5xSMiImmk6wzzMbMsd88OA2ZERCQmYpgLi2wZTiY6P/i5mb0IPAuszp3p7uNSHJuIiJQ3i2c3aUluNNAA+A04EOgDHBF+ioiIlJqZZZrZZ2b2cnjfwMwmmNkP4Wf9hGUHm9lMM/vOzA5JKO9iZl+FefdaeH6UmVUzs2dC+Sdm1qYkMRWVDJuEkaRfA1+Fn9PDz69Lu/MiIlI52Cb8K6ELgcTbel4BTHT39sDE8B4z6wj0J7rJS2/ggTCWBeBBYCDQPrx6h/LTgWXuvh1wF3BrSQIqKhlmArXDa6uE6dyXiIhsYaIBNGV/Fbt+s1bA4cAjCcV9gcfD9ONAv4Typ919nbv/DMwE9jCz5kAdd//I3R0Yma9O7rrGAj1zW41FKeqc4QJ3v764FYiIyJZlE88ZNjKzKQnvh7n7sIT3dwOXk3zZXlN3XwDg7gvMrEkobwl8nLDc3FC2PkznL8+tMyesK9vMVgANgSVFBV1UMozhKVQRESlBQ6ooS9y9ayHr7QMscvepZrZ/SUIpoMyLKC+qTpGKSoY9i6ssIiJSCnsDR5rZYUQPfqhjZqOBhWbWPLQKmwOLwvJzgdYJ9VsB80N5qwLKE+vMNbMsoC6wtLjACj1n6O7FVhYRkS1LKs8Zuvtgd2/l7m2IBsa85e4nAS8CA8JiA4AXwvSLQP8wQnRbooEyk0OX6koz2yucDzwlX53cdR0TtrFJLUMREYkbS8tF97cAY8zsdGA2cCyAu083szHAN0S3Ax3k7jmhzjnACKAG8Gp4AfwHGGVmM4lahP1LEoCSoYiIJCmP27G5+zvAO2H6Nwo5NefuNwI3FlA+BdixgPK1hGRaGiW56F5ERGSLppahiIjkyT1nGDdKhiIikkQ36hYRkZgzMmJ4mbmSoYiI5DHi2TLUABoREYk9tQxFRGSjmD7PUMlQRESSlMd1hhWNkqGIiOSJ6zlDJUMREUkSx5ahBtCIiEjsqWUoIiJJYtgwVDIUEZGNjHh2GSoZiojIRrbJT7qvlOL4B4CIiEgStQxFRCRJ/NqFSoYiIpIgeoRT/NKhkqGIiCSJXypUMhQRkXxi2DDUABoRERG1DEVEJIHF8tIKJUMREcmji+5FRESI50X3SoYiIpIkfqkwnq1hERGRJBWqZVijaiY7b1033WFIKeRs8HSHICKbU0zvTVqhkqGIiKSXBtCIiIgQz5ZhHP8AEBERSaKWoYiIJIlfu1DJUERE8olhL6mSoYiIbBQNoIlfNlQyFBGRJHFsGWoAjYiIxJ5ahiIiksAwdZOKiEjcxbGbVMlQRETyaACNiIiIxbNlqAE0IiISe2oZiohIkji2DJUMRUQkiUaTiohIrBmQEb9cqHOGIiIiahmKiEgSdZOKiEjsaQCNiIjEnlqGIiISaxpAIyIiElNqGYqISAI9tUJEROIupvcmVTIUEZEkMcyFSoYiIrJRNIAmfulQA2hERCT21DIUEZEk8WsXKhmKiEh+McyGSoYiIpIkjpdW6JyhiIjEnlqGIiKSJIaDSZUMRUQkWQxzoZKhiIjkE8NsqGQoIiJ5DA2gERERSSkza21mb5vZDDObbmYXhvIGZjbBzH4IP+sn1BlsZjPN7DszOyShvIuZfRXm3WsWne00s2pm9kwo/8TM2hQXl5KhiIhsFG7UXdZXCWQD/3D3HYC9gEFm1hG4Apjo7u2BieE9YV5/oBPQG3jAzDLDuh4EBgLtw6t3KD8dWObu2wF3AbcWF5SSoYiIJLFNeBXH3Re4+7QwvRKYAbQE+gKPh8UeB/qF6b7A0+6+zt1/BmYCe5hZc6COu3/k7g6MzFcnd11jgZ65rcbCKBmKiEiyTcuGjcxsSsJrYKGbibovdwM+AZq6+wKIEibQJCzWEpiTUG1uKGsZpvOXJ9Vx92xgBdCwqF3WABoREUmwyQ/3XeLuXYvdillt4DngInf/vYiGW0EzvIjyouoUSi1DEREpV2ZWhSgRPuHu40LxwtD1Sfi5KJTPBVonVG8FzA/lrQooT6pjZllAXWBpUTEpGYqISJJUDqAJ5+7+A8xw9zsTZr0IDAjTA4AXEsr7hxGi2xINlJkculJXmtleYZ2n5KuTu65jgLfCecVCqZtURETylHQgzCbYGzgZ+MrMPg9lVwK3AGPM7HRgNnAsgLtPN7MxwDdEI1EHuXtOqHcOMAKoAbwaXhAl21FmNpOoRdi/uKCUDEVEJFkKs6G7TypiCz0LqXMjcGMB5VOAHQsoX0tIpiWlblIREYk9tQxFRCRJHG/HpmQoIiJJ9AgnERGJvRjmQiVDERFJUA7DSSsiDaDZTHJyNrDfSbfS/+KHALhl2Hg6HX4VPU68hR4n3sKED6YnLT/316W03u8f3Dd6YjrCjZ0L/v0EOxx6JfuecHNS+fAx77LXcf9mn+Nv4rr7XkiaN/fXpWxzwKXc/8TGY/TFt7PpceLN7H7M9Qy+YyzFXLok5eDND79h96Ovp/Nfr+WuEW+kOxyppFLWMjSz1kQ3Tm0GbACGufs9qdpeuj309Dts36YpK1evzSs7+/gDOP+kAkcKc+Vd4+jZrWN5hRd7/Q/fk9OP6cF514/OK5s09Xtee+8r3h39T6pVrcLipSuT6lx19/P/c4wuGzKGO67oT9cd29D/4oeY+NEMDuqu45guOTkbuGzIGJ4feh4tmtbjwAG3cWiPnfhL2+bpDq1Si+MAmlS2DAt7TMcWZ97CZUz4YDon9+1WouVfeecL2rRspP+w5aj7bttRv07NpLLHxk3iglN6Ua1qFQAaN9gqb974d7+kTcuG/GXbZnllvy5ZwcrVa9l9p20xM/522B68+t6X5bMDUqCp02fRtnUj2rRqRNUqWRzVqzPj39Ux2RRGyh/hVCGlLBkW8ZiOLc6Vd43j2vP7kpGR/HE+8ux77HPCzZx3wxMs//0PAFavWcc9I9/k8jMOTUeokuDH2Yv5+IsfOeS0OzjynHv47JtfgOgY3TfqTS49PfkY/bp4BS0a18t737xJPRYsXlGeIUs+CxavoGXTvGfA0qJpfR2TzSCVj3CqqMrlnGG+x3Tknzcw91EfS5YsLo9wNqvX3/+axvVrs+sOWyeVn3b0Pkwbdw3vjf4nzRrW4ap7ngeic4nnHH8AtWtWS0e4kiAnZwPLf/+D1/5zCdee148z/u8x3J0hw1/lrP77/88xKuj8YGX+z78lKPCY6KBIGaR8NGn+x3Tkn+/uw4BhAJ27dK10oxE++fInXn3/ayZ8+A3r1q1n5eq1nPWvx3n4+gF5y5zSrzv9L3kYgKlfz+LFtz7n2qEvsGLlGjIyjOpVszjzuP3StQux1bxJXfrsvwtmRudO25CRYfy2fBVTp8/ipbc+5/qhL7JiVXSMqlWtQp8DdmH+4uV59RcsWk6zxnXTtwNCiyb1mLdwWd77+QuX0ayRjskmi+EfFClNhoU8pmOL8q9BR/KvQUcCMGnqDwwdPZGHrx/Ar0tW5P2nfPmdL9ihXXR+cPzwi/Pq3jJsPLVqVlMiTJPDeuzM+1O/Z+8u7flx9iL+XJ9Dw3q1efnhi/KWGTI8OkZnHNsDgNo1qzPl65/p0qkNz4yfzBnH9UhT9ALQueM2/Dh7Mb/MW0LzJvUYN2Eaw284Nd1hVXpxHECTytGkhT2mIxauve8Fvvp+LmbG1s0bcOfgYm+aLik08OoRfDBtJkuXr2LnI67m8jMP44Qj9uLCfz/JvifcTJWsTIb+6ySKeMAoALddfhzn3/AEa9f9yYHdOnKQRgSnVVZWJkMuP46jL7ifnBznxCP3yvvDU8oujl3NlqrrpMxsH+B94CuiSysArnT38YXV6dylq3/w8acpiUdSI2dDpevZjr2sTF1eXJnsvWdXpk6dUm7pacddOvu41yeVuX6H5rWmluRJ9xVNylqGxTymQ0REpMLQ7dhERCRZDJsxSoYiIpInul4wftlQyVBERDaq5HeSKSslQxERSRLDXKinVoiIiKhlKCIiyWLYNFQyFBGRBKYBNCIiInEcQKNzhiIiEntqGYqISJ7K/lzCslIyFBGRZDHMhkqGIiKSRANoREQk9jSARkREJIbUMhQRkSQxbBgqGYqISALdqFtERATi2DZUMhQRkTxGPFuGGkAjIiKxp5ahiIgkiWHDUMlQRESSxbGbVMlQRESSxPEONDpnKCIisaeWoYiIJItfw1DJUEREksUwFyoZiojIRqY70IiIiGgAjYiISCypZSgiIsni1zBUMhQRkWQxzIVKhiIikkwDaEREJOZMA2hERETiSC1DERHJo+cZioiIxJRahiIikkQtQxERkRhSy1BERJLEcTSpkqGIiGykG3WLiEjcGboDjYiISCyzoQbQiIhI7KllKCIiSTSARkREYk8DaEREJPZimAt1zlBERPKxTXiVZPVmvc3sOzObaWZXbO7wy0LJUEREyo2ZZQL3A4cCHYHjzaxjeqNSMhQRkXxsE/6VwB7ATHf/yd3/BJ4G+qZ0h0pAyVBERPLkPsKprK8SaAnMSXg/N5SlVYUaQPPZtKlLalbN+CXdcaRAI2BJuoOQUtExq1y25OO1TXlubNq0qa/XqGKNNmEV1c1sSsL7Ye4+LOF9QSnTN2F7m0WFSobu3jjdMaSCmU1x967pjkNKTsesctHx2nzcvXeKNzEXaJ3wvhUwP8XbLJa6SUVEpDx9CrQ3s23NrCrQH3gxzTFVrJahiIhs2dw928zOA14HMoFH3X16msNSMiwnw4pfRCoYHbPKRcerEnH38cD4dMeRyNzTft5SREQkrXTOUEREYk/JMIUq4i2HpGhm9qiZLTKzr9MdixTPzFqb2dtmNsPMppvZhemOSSondZOmSLjl0PdAL6KhxJ8Cx7v7N2kNTIpkZj2AVcBId98x3fFI0cysOdDc3aeZ2VbAVKCf/p9JaallmDoV8pZDUjR3fw9Ymu44pGTcfYG7TwvTK4EZVIC7mUjlo2SYOhXylkMiWyozawPsBnyS5lCkElIyTJ0KecshkS2RmdUGngMucvff0x2PVD5KhqlTIW85JLKlMbMqRInwCXcfl+54pHJSMkydCnnLIZEtiZkZ8B9ghrvfme54pPJSMkwRd88Gcm85NAMYUxFuOSRFM7OngI+ADmY218xOT3dMUqS9gZOBA83s8/A6LN1BSeWjSytERCT21DIUEZHYUzIUEZHYUzIUEZHYUzIUEZHYUzIUEZHYUzKUtDKznDAc/msze9bMam7CukaY2TFh+hEz61jEsvubWfcybGOWmTUqaXkh6zjVzIZuju2KyOahZCjptsbddw1PiPgTODtxZnj6R6m5+xnFPLlgf6DUyVBEtkxKhlKRvA9sF1ptb5vZk8BXZpZpZreZ2adm9qWZnQXR3UfMbKiZfWNmrwBNcldkZu+YWdcw3dvMppnZF2Y2MdzQ+Wzg4tAq3dfMGpvZc2Ebn5rZ3qFuQzN7w8w+M7OHKfieswUysz3M7MNQ90Mz65Awu7WZvRaed3lNQp2TzGxyiOvhsv4xICKlk5XuAEQAzCwLOBR4LRTtAezo7j+b2UBghbvvbmbVgA/M7A2iJxR0AHYCmgLfAI/mW29jYDjQI6yrgbsvNbOHgFXufntY7kngLnefZGZbE905aAfgGmCSu19vZocDA0uxW9+G7Wab2UHATcDRifsH/AF8GpL5auBvwN7uvt7MHgBOBEaWYpsiUgZKhpJuNczs8zD9PtF9JrsDk93951B+MLBz7vlAoC7QHugBPOXuOcB8M3urgPXvBbyXuy53L+xZhQcBHaNbXQJQJzwstgdwVKj7ipktK8W+1QUeN7P2RE8sqZIwb4K7/wZgZuOAfYBsoAtRcgSoASwqxfZEpIyUDCXd1rj7rokFIRGsTiwCznf31/MtdxjFPxbLSrAMRKcMurn7mgJiKes9C28A3nb3v4au2XcS5uVfp4dYH3f3wWXcnoiUkc4ZSmXwOnBOeFQPZra9mdUC3gP6h3OKzYEDCqj7EbCfmW0b6jYI5SuBrRKWe4PoxuqE5XYNk+8RdVViZocC9UsRd11gXpg+Nd+8XmbWwMxqAP2AD4CJwDFm1iQ3VjPbphTbE5EyUjKUyuARovOB08zsa+Bhol6N54EfgK+AB4F381d098VE5/nGmdkXwDNh1kvAX3MH0AAXAF3DAJ1v2Diq9Tqgh5lNI+qunV1EnF+GJ13MNbM7gSHAzWb2AZB/IMwkYBTwOfCcu08Jo1+vAt4wsy+BCUDzkn1EIrIp9NQKERGJPbUMRUQk9pQMRUQk9pQMRUQk9pQMRUQk9pQMRUQk9pQMRUQk9pQMRUQk9pQMRUQk9v4fTudMsXhdfCYAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 720x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "my_plot_confusion_matrix(lclf, X_test, y_test, title=\"confusion matrix LogisticRegression\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Using Extreme Gradient Boosting:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.81      0.91      0.86    103814\n",
      "           1       0.64      0.47      0.54     40683\n",
      "           2       0.58      0.01      0.02      2094\n",
      "\n",
      "    accuracy                           0.78    146591\n",
      "   macro avg       0.68      0.46      0.47    146591\n",
      "weighted avg       0.76      0.78      0.76    146591\n",
      "\n",
      "accuracy of the model is: 77.74 %\n"
     ]
    }
   ],
   "source": [
    "xgb_model = xgb.XGBClassifier(\n",
    "    learning_rate=0.1,\n",
    "    n_estimators=200,\n",
    "    objective='multi:softmax',\n",
    "    eval_metric='mlogloss',\n",
    "    n_jobs=-1)\n",
    "\n",
    "# print accuracy\n",
    "xgb_acc = print_accuracy(xgb_model, X_train, X_test, y_train, y_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 720x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "my_plot_confusion_matrix(xgb_model, X_test, y_test, title=\"confusion matrix XGBClassifier\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Using MLP classifier model:\n",
    "\n",
    "> Architecture:\n",
    "\n",
    "\n",
    "![architecture](images/mlp-arc.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.71      0.99      0.83    103814\n",
      "           1       0.55      0.03      0.06     40683\n",
      "           2       0.00      0.00      0.00      2094\n",
      "\n",
      "    accuracy                           0.71    146591\n",
      "   macro avg       0.42      0.34      0.30    146591\n",
      "weighted avg       0.66      0.71      0.60    146591\n",
      "\n",
      "accuracy of the model is: 71.08 %\n"
     ]
    }
   ],
   "source": [
    "classifier_mlp = MLPClassifier(\n",
    "    activation='relu', learning_rate='invscaling', solver='sgd',\n",
    "    hidden_layer_sizes=(40, 60, 20, 10 ), random_state=42, max_iter=50)\n",
    "\n",
    "mlp_acc = print_accuracy(classifier_mlp, X_train, X_test, y_train, y_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 720x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "my_plot_confusion_matrix(classifier_mlp, X_test, y_test, title=\"confusion matrix MLPClassifier\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "regular_accuracies = [knn_acc, lgr_acc, xgb_acc, mlp_acc]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Trying to train the same model but with balanced train data size of each class"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [],
   "source": [
    "# separate tracks to different DataFramesa for each popularity class\n",
    "high_tracks = tracks.loc[tracks['popularity'] == 2]\n",
    "mid_tracks = tracks.loc[tracks['popularity'] == 1]\n",
    "low_tracks = tracks.loc[tracks['popularity'] == 0]\n",
    "\n",
    "# take 70% of the size of high_tracks\n",
    "num_of_high = int(high_tracks.shape[0] * 0.7)\n",
    "\n",
    "# for each popularity class DataFrame, sample (randomly) with the size of num_of_high (70% size of all high popularity tracks)\n",
    "high_tracks = high_tracks.sample(n=num_of_high, replace=False)\n",
    "mid_tracks = mid_tracks.sample(n=num_of_high, replace=False)\n",
    "low_tracks = low_tracks.sample(n=num_of_high, replace=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [],
   "source": [
    "training = low_tracks.append(mid_tracks).append(high_tracks)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "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>popularity</th>\n",
       "      <th>duration_ms</th>\n",
       "      <th>explicit</th>\n",
       "      <th>danceability</th>\n",
       "      <th>energy</th>\n",
       "      <th>key</th>\n",
       "      <th>loudness</th>\n",
       "      <th>mode</th>\n",
       "      <th>speechiness</th>\n",
       "      <th>acousticness</th>\n",
       "      <th>instrumentalness</th>\n",
       "      <th>liveness</th>\n",
       "      <th>valence</th>\n",
       "      <th>tempo</th>\n",
       "      <th>time_signature</th>\n",
       "      <th>year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>205695</th>\n",
       "      <td>0</td>\n",
       "      <td>0.033596</td>\n",
       "      <td>0</td>\n",
       "      <td>0.726539</td>\n",
       "      <td>0.420</td>\n",
       "      <td>0.818182</td>\n",
       "      <td>0.744738</td>\n",
       "      <td>0</td>\n",
       "      <td>0.038723</td>\n",
       "      <td>0.623494</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0923</td>\n",
       "      <td>0.782</td>\n",
       "      <td>0.537838</td>\n",
       "      <td>0.8</td>\n",
       "      <td>0.685950</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>448646</th>\n",
       "      <td>1</td>\n",
       "      <td>0.051844</td>\n",
       "      <td>0</td>\n",
       "      <td>0.742684</td>\n",
       "      <td>0.753</td>\n",
       "      <td>0.181818</td>\n",
       "      <td>0.846320</td>\n",
       "      <td>0</td>\n",
       "      <td>0.031102</td>\n",
       "      <td>0.047892</td>\n",
       "      <td>0.000007</td>\n",
       "      <td>0.0725</td>\n",
       "      <td>0.732</td>\n",
       "      <td>0.551974</td>\n",
       "      <td>0.8</td>\n",
       "      <td>0.859504</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>461702</th>\n",
       "      <td>0</td>\n",
       "      <td>0.021513</td>\n",
       "      <td>0</td>\n",
       "      <td>0.852674</td>\n",
       "      <td>0.893</td>\n",
       "      <td>0.363636</td>\n",
       "      <td>0.853310</td>\n",
       "      <td>0</td>\n",
       "      <td>0.215242</td>\n",
       "      <td>0.214859</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.3390</td>\n",
       "      <td>0.824</td>\n",
       "      <td>0.373499</td>\n",
       "      <td>0.8</td>\n",
       "      <td>0.892562</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93079</th>\n",
       "      <td>2</td>\n",
       "      <td>0.024920</td>\n",
       "      <td>0</td>\n",
       "      <td>0.657921</td>\n",
       "      <td>0.631</td>\n",
       "      <td>0.545455</td>\n",
       "      <td>0.830305</td>\n",
       "      <td>0</td>\n",
       "      <td>0.091967</td>\n",
       "      <td>0.526104</td>\n",
       "      <td>0.000579</td>\n",
       "      <td>0.1650</td>\n",
       "      <td>0.350</td>\n",
       "      <td>0.519512</td>\n",
       "      <td>0.8</td>\n",
       "      <td>0.991736</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54157</th>\n",
       "      <td>1</td>\n",
       "      <td>0.037021</td>\n",
       "      <td>0</td>\n",
       "      <td>0.359233</td>\n",
       "      <td>0.123</td>\n",
       "      <td>0.272727</td>\n",
       "      <td>0.600694</td>\n",
       "      <td>1</td>\n",
       "      <td>0.037384</td>\n",
       "      <td>0.902610</td>\n",
       "      <td>0.009380</td>\n",
       "      <td>0.1080</td>\n",
       "      <td>0.102</td>\n",
       "      <td>0.478133</td>\n",
       "      <td>0.8</td>\n",
       "      <td>0.661157</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>345293</th>\n",
       "      <td>0</td>\n",
       "      <td>0.045464</td>\n",
       "      <td>0</td>\n",
       "      <td>0.463169</td>\n",
       "      <td>0.197</td>\n",
       "      <td>0.363636</td>\n",
       "      <td>0.638568</td>\n",
       "      <td>0</td>\n",
       "      <td>0.102987</td>\n",
       "      <td>0.546185</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.1860</td>\n",
       "      <td>0.529</td>\n",
       "      <td>0.481616</td>\n",
       "      <td>0.8</td>\n",
       "      <td>0.454545</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>221185</th>\n",
       "      <td>0</td>\n",
       "      <td>0.041403</td>\n",
       "      <td>0</td>\n",
       "      <td>0.539859</td>\n",
       "      <td>0.832</td>\n",
       "      <td>0.363636</td>\n",
       "      <td>0.839299</td>\n",
       "      <td>1</td>\n",
       "      <td>0.030072</td>\n",
       "      <td>0.007922</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.1000</td>\n",
       "      <td>0.949</td>\n",
       "      <td>0.589092</td>\n",
       "      <td>0.8</td>\n",
       "      <td>0.586777</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>539699</th>\n",
       "      <td>1</td>\n",
       "      <td>0.049388</td>\n",
       "      <td>0</td>\n",
       "      <td>0.565086</td>\n",
       "      <td>0.780</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.810986</td>\n",
       "      <td>1</td>\n",
       "      <td>0.141092</td>\n",
       "      <td>0.049398</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.3280</td>\n",
       "      <td>0.596</td>\n",
       "      <td>0.698918</td>\n",
       "      <td>0.8</td>\n",
       "      <td>0.876033</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>208955</th>\n",
       "      <td>1</td>\n",
       "      <td>0.041530</td>\n",
       "      <td>0</td>\n",
       "      <td>0.494450</td>\n",
       "      <td>0.559</td>\n",
       "      <td>0.818182</td>\n",
       "      <td>0.819934</td>\n",
       "      <td>0</td>\n",
       "      <td>0.150360</td>\n",
       "      <td>0.687751</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.1180</td>\n",
       "      <td>0.298</td>\n",
       "      <td>0.317610</td>\n",
       "      <td>0.8</td>\n",
       "      <td>0.851240</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80782</th>\n",
       "      <td>1</td>\n",
       "      <td>0.041335</td>\n",
       "      <td>0</td>\n",
       "      <td>0.560040</td>\n",
       "      <td>0.418</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.723507</td>\n",
       "      <td>1</td>\n",
       "      <td>0.046859</td>\n",
       "      <td>0.310241</td>\n",
       "      <td>0.001190</td>\n",
       "      <td>0.2370</td>\n",
       "      <td>0.328</td>\n",
       "      <td>0.648443</td>\n",
       "      <td>0.8</td>\n",
       "      <td>0.884298</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>14499 rows × 16 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        popularity  duration_ms  explicit  danceability  energy       key  \\\n",
       "205695           0     0.033596         0      0.726539   0.420  0.818182   \n",
       "448646           1     0.051844         0      0.742684   0.753  0.181818   \n",
       "461702           0     0.021513         0      0.852674   0.893  0.363636   \n",
       "93079            2     0.024920         0      0.657921   0.631  0.545455   \n",
       "54157            1     0.037021         0      0.359233   0.123  0.272727   \n",
       "...            ...          ...       ...           ...     ...       ...   \n",
       "345293           0     0.045464         0      0.463169   0.197  0.363636   \n",
       "221185           0     0.041403         0      0.539859   0.832  0.363636   \n",
       "539699           1     0.049388         0      0.565086   0.780  0.000000   \n",
       "208955           1     0.041530         0      0.494450   0.559  0.818182   \n",
       "80782            1     0.041335         0      0.560040   0.418  0.000000   \n",
       "\n",
       "        loudness  mode  speechiness  acousticness  instrumentalness  liveness  \\\n",
       "205695  0.744738     0     0.038723      0.623494          0.000000    0.0923   \n",
       "448646  0.846320     0     0.031102      0.047892          0.000007    0.0725   \n",
       "461702  0.853310     0     0.215242      0.214859          0.000000    0.3390   \n",
       "93079   0.830305     0     0.091967      0.526104          0.000579    0.1650   \n",
       "54157   0.600694     1     0.037384      0.902610          0.009380    0.1080   \n",
       "...          ...   ...          ...           ...               ...       ...   \n",
       "345293  0.638568     0     0.102987      0.546185          0.000000    0.1860   \n",
       "221185  0.839299     1     0.030072      0.007922          0.000000    0.1000   \n",
       "539699  0.810986     1     0.141092      0.049398          0.000000    0.3280   \n",
       "208955  0.819934     0     0.150360      0.687751          0.000000    0.1180   \n",
       "80782   0.723507     1     0.046859      0.310241          0.001190    0.2370   \n",
       "\n",
       "        valence     tempo  time_signature      year  \n",
       "205695    0.782  0.537838             0.8  0.685950  \n",
       "448646    0.732  0.551974             0.8  0.859504  \n",
       "461702    0.824  0.373499             0.8  0.892562  \n",
       "93079     0.350  0.519512             0.8  0.991736  \n",
       "54157     0.102  0.478133             0.8  0.661157  \n",
       "...         ...       ...             ...       ...  \n",
       "345293    0.529  0.481616             0.8  0.454545  \n",
       "221185    0.949  0.589092             0.8  0.586777  \n",
       "539699    0.596  0.698918             0.8  0.876033  \n",
       "208955    0.298  0.317610             0.8  0.851240  \n",
       "80782     0.328  0.648443             0.8  0.884298  \n",
       "\n",
       "[14499 rows x 16 columns]"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# shuffle the train dataset\n",
    "training.sample(frac=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [],
   "source": [
    "# get the indexes of the row we has in training DataFrame\n",
    "indexes = training.index.values.tolist()\n",
    "\n",
    "# get from tracks only the rows that not in training DataFrame\n",
    "testing = tracks.drop(index=indexes)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [],
   "source": [
    "# rest indexes\n",
    "training.reset_index(drop=True, inplace=True)\n",
    "testing.reset_index(drop=True, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>popularity</th>\n",
       "      <th>duration_ms</th>\n",
       "      <th>explicit</th>\n",
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       "      <th>14495</th>\n",
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       "    <tr>\n",
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       "      <td>2</td>\n",
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       "      <td>0.8</td>\n",
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       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>14499 rows × 16 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       popularity  duration_ms  explicit  danceability  energy       key  \\\n",
       "0               0     0.037368         0      0.442987   0.836  0.636364   \n",
       "1               0     0.026619         0      0.622603   0.548  0.090909   \n",
       "2               0     0.027247         0      0.506559   0.366  0.545455   \n",
       "3               0     0.033506         0      0.627649   0.246  0.181818   \n",
       "4               0     0.007129         0      0.662967   0.468  1.000000   \n",
       "...           ...          ...       ...           ...     ...       ...   \n",
       "14494           2     0.036445         0      0.715439   0.220  0.636364   \n",
       "14495           2     0.038876         0      0.647830   0.553  0.363636   \n",
       "14496           2     0.033672         1      0.673058   0.747  0.090909   \n",
       "14497           2     0.041264         1      0.957619   0.790  0.727273   \n",
       "14498           2     0.025515         0      0.818365   0.323  0.909091   \n",
       "\n",
       "       loudness  mode  speechiness  acousticness  instrumentalness  liveness  \\\n",
       "0      0.836010     0     0.061380      0.905622          0.005700    0.3450   \n",
       "1      0.839329     0     0.031308      0.052510          0.000000    0.1300   \n",
       "2      0.772271     1     0.033883      0.467871          0.000000    0.2560   \n",
       "3      0.721549     0     0.113285      0.764056          0.000000    0.5650   \n",
       "4      0.694857     0     0.985582      0.356426          0.000000    0.3860   \n",
       "...         ...   ...          ...           ...               ...       ...   \n",
       "14494  0.736417     1     0.033677      0.814257          0.000000    0.1750   \n",
       "14495  0.827368     1     0.042122      0.197791          0.000000    0.2040   \n",
       "14496  0.809793     1     0.194645      0.338353          0.000000    0.1150   \n",
       "14497  0.826649     1     0.077858      0.004388          0.000000    0.0816   \n",
       "14498  0.705565     1     0.076622      0.506024          0.000016    0.0190   \n",
       "\n",
       "       valence     tempo  time_signature      year  \n",
       "0        0.700  0.476116             0.8  0.561983  \n",
       "1        0.499  0.337270             0.6  0.900826  \n",
       "2        0.823  0.452945             0.8  0.735537  \n",
       "3        0.659  0.727714             0.8  0.785124  \n",
       "4        0.677  0.573555             0.8  0.702479  \n",
       "...        ...       ...             ...       ...  \n",
       "14494    0.530  0.446771             0.8  0.925620  \n",
       "14495    0.684  0.487505             0.6  0.809917  \n",
       "14496    0.918  0.352775             0.8  0.884298  \n",
       "14497    0.807  0.474882             0.8  0.892562  \n",
       "14498    0.764  0.357243             0.8  0.851240  \n",
       "\n",
       "[14499 rows x 16 columns]"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "training"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>popularity</th>\n",
       "      <th>duration_ms</th>\n",
       "      <th>explicit</th>\n",
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       "  </tbody>\n",
       "</table>\n",
       "<p>474136 rows × 16 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        popularity  duration_ms  explicit  danceability  energy       key  \\\n",
       "0                0     0.020012         0      0.650858  0.4450  0.000000   \n",
       "1                0     0.030695         0      0.709384  0.2800  0.000000   \n",
       "2                0     0.029625         0      0.423814  0.2880  0.636364   \n",
       "3                1     0.028971         0      0.619576  0.0423  0.363636   \n",
       "4                0     0.026260         0      0.838547  0.2620  0.727273   \n",
       "...            ...          ...       ...           ...     ...       ...   \n",
       "474131           1     0.030419         0      0.567104  0.0331  0.090909   \n",
       "474132           0     0.016284         0      0.631685  0.5300  0.454545   \n",
       "474133           1     0.043442         0      0.565086  0.5180  0.000000   \n",
       "474134           1     0.022705         0      0.702321  0.6150  0.909091   \n",
       "474135           0     0.035611         0      0.692230  0.7230  0.545455   \n",
       "\n",
       "        loudness  mode  speechiness  acousticness  instrumentalness  liveness  \\\n",
       "0       0.713748     1     0.464470      0.676707          0.744000    0.1510   \n",
       "1       0.682360     1     0.179197      0.998996          0.000068    0.1630   \n",
       "2       0.703546     1     0.072194      0.997992          0.000216    0.1960   \n",
       "3       0.733710     1     0.055098      1.000000          0.002930    0.1830   \n",
       "4       0.728310     1     0.097013      0.987952          0.912000    0.2040   \n",
       "...          ...   ...          ...           ...               ...       ...   \n",
       "474131  0.526936     1     0.106076      1.000000          0.961000    0.1110   \n",
       "474132  0.717129     0     0.029248      0.113454          0.856000    0.1040   \n",
       "474133  0.803491     0     0.030072      0.788153          0.000000    0.0648   \n",
       "474134  0.822748     1     0.035530      0.206827          0.000003    0.3050   \n",
       "474135  0.809670     1     0.037384      0.105422          0.000000    0.2640   \n",
       "\n",
       "        valence     tempo  time_signature      year  \n",
       "0         0.127  0.425564             0.6  0.181818  \n",
       "1         0.897  0.517617             0.8  0.181818  \n",
       "2         0.400  0.566501             0.6  0.181818  \n",
       "3         0.211  0.364565             0.8  0.190083  \n",
       "4         0.901  0.424570             0.8  0.190083  \n",
       "...         ...       ...             ...       ...  \n",
       "474131    0.386  0.258526             0.6  0.991736  \n",
       "474132    0.215  0.487509             0.8  0.991736  \n",
       "474133    0.211  0.535333             0.8  0.991736  \n",
       "474134    0.438  0.365406             0.8  1.000000  \n",
       "474135    0.975  0.455408             0.8  0.950413  \n",
       "\n",
       "[474136 rows x 16 columns]"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "testing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [],
   "source": [
    "# split to train and test\n",
    "X_train = training[feature_cols]\n",
    "y_train = training['popularity']\n",
    "X_test = testing[feature_cols]\n",
    "y_test = testing['popularity']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Using KNeighborsClassifier model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.84      0.67      0.75    341204\n",
      "           1       0.38      0.39      0.38    130860\n",
      "           2       0.02      0.54      0.03      2072\n",
      "\n",
      "    accuracy                           0.59    474136\n",
      "   macro avg       0.41      0.53      0.39    474136\n",
      "weighted avg       0.71      0.59      0.64    474136\n",
      "\n",
      "accuracy of the model is: 59.35 %\n"
     ]
    }
   ],
   "source": [
    "# get the classifier (found that 5 neighbors is the best predicter)\n",
    "nclf = KNeighborsClassifier(n_neighbors=5)\n",
    "\n",
    "# print accuracy\n",
    "knn_acc = print_accuracy(nclf, X_train, X_test, y_train, y_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 720x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "my_plot_confusion_matrix(nclf, X_test, y_test, title=\"confusion matrix KNeighborsClassifier\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Using LogisticRegression classifier model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.88      0.68      0.77    341204\n",
      "           1       0.38      0.40      0.39    130860\n",
      "           2       0.02      0.73      0.04      2072\n",
      "\n",
      "    accuracy                           0.60    474136\n",
      "   macro avg       0.43      0.60      0.40    474136\n",
      "weighted avg       0.74      0.60      0.66    474136\n",
      "\n",
      "accuracy of the model is: 60.06 %\n"
     ]
    }
   ],
   "source": [
    "# get the classifier \n",
    "lclf = LogisticRegression()\n",
    "\n",
    "# print accuracy\n",
    "lgr_acc = print_accuracy(lclf, X_train, X_test, y_train, y_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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Jh4Tqe/zxd0hfs4ERtw3y6v9sKpMmzSIpKYmaNasx8IITqFevViIOtUJYsXoDN9zzGunrN5Nkxln9ejLwb70AGPvuJF5+bzIpyUkceXBHbhh8EpNn/MoDz39EZmY2lSolc/3gkzjkwPYAzP51KcPufZ0dOzM5skdHbhl6KmbGtFm/c9eT7zP/jxU8eOs/6HvE/ok85HJLQTIqrkHSzPoCjwDJwPPOubvjub/SlpWVw60Pj2PW/KXUqFaFL8fcyFff/8JjYydw19MfATD47CO54aITuObu18nIyOSupz+k415N6bhXk1Bdn3zzM8+9+TXTxw0Plbdt0YCrL+hD34seZOPm7dSvUyOy7LGxn1OtamUuOO3w+B9sBbN+/Wa+mDCD224fROXKlXjm6f8ybeo8+hx/MKf2PwKACROm8+EHUzj3vOOZMWM+mVlZjBgxiIyMTEYMf56DenSifn0v6M2cOZ+qVSqF9tGiZSNuvmUgVapU4quvfuCdt79i8JBTy/xYK4rk5CRuuuRkOrdvzpZtOzj90oc5rFt70tdvYcKUOXzw7LVUrpzC2vWbAaiTVp2n7riQRvVr8eufKxh003N888b/ATDikXe4/ZozOKBjKy6++XkmTvuFI3t0pEnDOoy84WxGvfl1Ig+1fNv10a0VStxGt/rTBj0BnAB0As7xpxfabaxau4lZ871rVbdsy+DXhStp0qA2m7fuiKxTPbUK3qAp2LZjJ9/99Ac7dmb+pa7psxeyau2mv5QP7H8oz781kY2btwOQvn5LZNnEab+yeWtGqR7TniQnJ4fMzCyys3PYuTOLWrVrkJpaJbJ8Z0ZmZBYt819nZ3vbJCcnk5paGYAdO3Yyfvw0Tux3aKj+ffZpRRU/cLZt25T1/pe3lEzDeml0bu+N6K9RrSptWzZiVfomXnt/CoMHHEXlyt5v+np1agLQqX0zGvk/Ytq3bszOnVns3JnF6rWb2LJtBwd2ao2Z0f+47kyYPAeA5o3rsk/bpiQlKQrEYnEe3bq7iWcm2QNY4Jz7A8DMXsebKmhuHPcZNy2a1GW/Ds2ZMWchEO0+3bRlOydf8miJ692rpTepxCfPX01SUhL3PPcxE76dVxpN3qPVqVOTPn16cNONT1GpUgqdOrWhc+c2ALz77kS++3Y2qalVuPa6cwDo2q0DP/70G9df9zg7d2Zx1tlHU716KgDvvfcNfY7rQeXKlWLub9KkWXTp0jb+B7aHWLpyHfMWLGP/fVpy77MfMn32nzz04v+oUrkSNww+if32aRla/9NvZtGxXTMqV05hVfpGGtevHVnWuEEtVqVvLOMjkIointdJFmn6HzMbbGbTzWy6y9oex+aUXPXUyoy55yKGPfhOJIv8z1Mf0OWkf/PWJ9O5+KwjSlx3SnIybVs05KQhj3DRrS/xyC1/J61Gamk1fY+1desOfvzxN+4aeQn33jeUjJ2ZfPedl02cdtoR3HPvZRx8cCe+/GIGAAsXriDJkrj3vqHcNXII4z+bxpo1G1iyeBVrVq/nwK57x9zXd9/NYdHCFfQ5vkeZHFtFt3V7BlfcNpqbLzuVGtWrkp2dzabN23nzsSu4YfBJXPWfsZHeG4DfFq7k/uc+5varTwcILctVAROcuFImGRXPIFmk6X+cc88657o757pbSvkLDinJSYy+52Le+mQ6H37501+Wv/3JNE45+oAS17989QY+njiLrOwcFi9fy4LFq9mrZYNdaLEAzJu3kPr1a1GzZjVSUpLpeuDe/P77stA6PQ7uxMyZvwIw9fu5dO7ShpSUZNLSqrNXu2YsWriC3/9YzqJFqxh201Pce8/LrFq1jvvvezVSx9y5C/n4oykMvfx0KlXSOLhdlZmVzRUjRnPyMV3p02tfABrVr81xh3fBzNhvn5YkWRLrN24FYOWaDVw+/CXuuXEALZvWB6Bxg9qsTN8QqXPlmo001ICqYlGQjIpnkIw1ldBu5bF//4NfF67kyVe/iJS1bRENYn2P2I9fF64qcf0fff0Tvbp5WUrdWtVp17IhC5etLXmDBYC6ddP444/lZGRk4pzjl18W0aRxPVatil43/NOPC2jcuG5k/fm/LMI5R0bGTv78YzmNm9Sjd+8Due/+oYy8+1JuuPFcGjWqy3XX/x2AxYtX8fLLnzL08tNJS6uekOOsSJxz3HL/m7Rt1Yh/nnFkpPzYwzrz3Y8LAPhz6Roys7KoU6s6m7ZsZ/AtL3DNoBPp1qVNZP2G9dKonlqFH+d6n+d/x0/nmEM7l/nx7M4UJKPi+dN3GtDen0ZoGd6MB3+P4/5KXc/92zKg38HM+W0ZE1+5CYA7nnifc089lPatGpKT41iych3XjHw9ss1P791GzepVqVQphROP3I/T//UE8/9cyW3/OpXTj+9OtaqVmP3hHYx979vI+cejDu7It2/cQk6O4/8e+W/kV/LHz15F+9aNqJ5ahdkf3sEV/3mVL77T+cqiaNu2Kd26deA//3mJ5KQkWrRsRK8j9uf55z9g1cp1mBn16qXxj3O9+7f2PqorL730MSOGvwDAoYftS/PmDQvaBW+//SUZO3byzNPeTFh166Vx+eWnx/fAKrAZsxfy3ucz2LtNE04d4s1Wds2FJ3B63x7cfP+bnHTRfVRKSeHuGwZgZrz838ksXp7Ok698zpOvfA7AqLsvpl6dmoy48nSG3fc6OzKyOKJHB47osQ8As35ZzOUjRrNpyza+/HYuj43+jI9euD5hx1wuaXRriOXXf19qlZudCDyMdwnIKH/WhJiSqjV0VTqcFbf2SOl79rkbE90EKaYj26g7f3dy0jGHMevHGWUWtlLqt3W1+hX4VV2gdWP+PqOwCc53J3E9ieKc+xj4OJ77EBGR0lURu01LSiMNREQkIvc6SfEoSIqISIiCZJTuJykiIhKDMkkREQlTIhmhICkiIlGm7tYgBUkREQlRkIxSkBQRkRAFySgN3BEREYlBmaSIiEToOskwBUkREQlTjIxQkBQRkSiNbg1RkBQRkRAFySgN3BEREYlBmaSIiIQok4xSkBQRkTDFyAgFSRERCVEmGaVzkiIiIjEokxQRkQgzTSYQpCApIiIhCpJRCpIiIhKiIBmlICkiImGKkREauCMiIhKDMkkREQlRd2uUgqSIiERpgvMQBUkREYkwQDEySuckRUREYlAmKSIiAZpMIEhBUkREQhQjoxQkRUQkRJlklIKkiIhEmTLJIA3cERERiUGZpIiIRBiQlKRUMpeCpIiIhKi7NUpBUkREQjRwJ0pBUkREojRwJ0QDd0RERGJQJikiIhHe3K1KJXMpSIqISICmpQtSkBQRkRDFyCidkxQREYlBmaSIiISouzVKQVJERKJ0CUiIgqSIiERodGuYgqSIiIQoRkZp4I6IiEgMyiRFRCRE3a1RCpIiIhKiGBmlICkiIlGmTDKoXAXJzns3573P7kt0M6QY1m3ZmegmSDGt1We2W8nKySnT/XmjW8t0l+WaBu6IiIjEUK4ySRERSTRNcB6kTFJERELMSv4ovG4bZWarzWx2oGyEmS0zsx/9x4mBZcPMbIGZzTez4wPl3czsZ3/Zo+ZHdjOrYmZv+OXfm1nrwDYDzew3/zGwKO+FgqSIiISYWYkfRfAS0Def8oeccwf4j4/9dnQCBgCd/W2eNLNkf/2ngMFAe/+RW+cgYL1zrh3wEHCPX1ddYDhwMNADGG5mdQprrIKkiIiUGefcRGBdEVc/FXjdOZfhnPsTWAD0MLMmQJpz7lvnnAPGAP0D24z2n78NHONnmccD451z65xz64Hx5B+sQxQkRUQkahe6Wv1Esr6ZTQ88Bhdxz5eb2Sy/OzY3w2sGLAmss9Qva+Y/z1se2sY5lwVsBOoVUFeBNHBHREQiSmGC83TnXPdibvMUcAfg/H8fAC70m5OXK6CcEm4TkzJJEREJifM5yb9wzq1yzmU753KA5/DOGYKX7bUIrNocWO6XN8+nPLSNmaUAtfC6d2PVVSAFSRERCYnn6Nb892dNAi9PA3JHvr4PDPBHrLbBG6Az1Tm3AthsZj39843nA+8FtskduXoG8IV/3vJToI+Z1fG7c/v4ZQVSd6uIiJQZM3sN6I137nIp3ojT3mZ2AF7350JgCIBzbo6ZvQnMBbKAoc65bL+qS/FGyqYC//MfAC8AY81sAV4GOcCva52Z3QFM89e73TlX6AAiBUkREQmJ52QCzrlz8il+oYD17wTuzKd8OtAln/IdwJkx6hoFjCpyY1GQFBGRoF3oNq2IFCRFRCTCNC1diIKkiIiEKEZGaXSriIhIDMokRUQkJEmpZISCpIiIhChGRilIiohIhDcpgKJkLp2TFBERiUGZpIiIhCQpkYxQkBQRkRB1t0YpSIqISIhiZJSCpIiIRBjerDvi0cAdERGRGJRJiohIiAbuRClIiohIlGmC8yAFSRERCVGMjFKQFBGRCENztwZp4I6IiEgMyiRFRCREiWSUgqSIiIRo4E6UgqSIiER4dwFJdCvKj5hB0sweA1ys5c65K+LSIhERkXKioExyepm1QkREyg2Nbo2KGSSdc6ODr82sunNua/ybJCIiiaQQGVXoJSBmdoiZzQXm+a/3N7Mn494yERFJCPNn3SnJo6IpynWSDwPHA2sBnHM/AUfEsU0iIpIg3mQCJX9UNEWaTMA5tyRPUXYc2iIiIlKuFOUSkCVmdijgzKwycAV+16uIiFQwFbTbtKSKEiQvAR4BmgHLgE+BofFslIiIJI5iZFShQdI5lw78owzaIiIi5YAyyaiijG5ta2YfmNkaM1ttZu+ZWduyaJyIiJQtDdwJK8rAnVeBN4EmQFPgLeC1eDZKRESkPChKkDTn3FjnXJb/eJkCpqsTEZHdm66TjCpo7ta6/tMvzewm4HW84Hg28FEZtE1ERBKg4oW6kito4M4MvKCY+34NCSxzwB3xapSIiCSGmeZuDSpo7tY2ZdkQERGR8qZI95M0sy5AJ6Bqbplzbky8GiUiIomjRDKq0CBpZsOB3nhB8mPgBGASoCApIlIBVcQBOCVVlEzyDGB/4Afn3D/NrBHwfHybVb5k7Mzk/GufYmdmFtnZOfTptS+Xn3/8LtX538+m88yrEwAY8vdj6N+ne2j5nU/8l3c/ncb09+/cpf3s6c4cch/VUquQlGQkJyfx/H1DeWL0/5gy/RdSUpJp1qguw/51OjWrp7Jx8zb+fd+r/LJgGSccdSBXX3xKpJ75vy/jrsfeIWNnJj27duDKQf0iXyRfTP6ZUW9MwMxo17oxw68+O1GHWyFkZ+dw4XVP0KBeGvffOpBf/1jOfU+/x86dWSQnJ3HdkFPotHcLsrKyGfnEOOb/vpzsnBxO6H0g55/RO1TXDXeOYdmqdbzy6FUAPPLCR8z8+Q8AduzcyfoNW/ns1f8r4yMs/xQjo4oSJLc753LMLMvM0oDVQKGTCZjZKOAkYLVzrssutjOhKldKYdS9Q6ieWoXMrGzOu/oJeh20D/t3bFXothdc9xR3Xnc2zRrXjZRt2LSNp14ezxuPX4kZnDX0EY46pBO1alYDYPavS9i8ZXvcjmdP88jtg6idVj3y+qD92zHk3D6kJCfz1JhPePmdr7n0/L5UrpTCReccyx+LV/Hn4lWhOh545j2uv7Q/nfduwfX/Gc33P/xKz64dWLI8nZfHfc1Tdw2hZo1U1m/YUtaHV+G8+eEUWjdvwNbtGQA8MfoTLjz7aA7p1oEp0+fzxOhPeOLOi/li8s/szMzi5UevZEfGTv5++cMc12t/mjSqA8BX384mtWrlUN1XDuoXef7Wh1P49c8VZXdguwnDNHAnoCjXSU43s9rAc3gjXmcCU4uw3UtA3xK3rBwxM6qnVgEgKyubrOwcDGPx8nQG3/wcZ172MOdd8yR/LF5dpPomz5jPIV3bUzutGrVqVuOQru2ZNH0+4P2Kvv+5j7j2on6F1CIl1eOA9qQkJwPQee8WrFm7CYDUqpXZr2NrKleqFFo/fd0mtm7PoEuHlpgZfXsfyDffe3P8f/D5dE7rezA1a6QCUKd2jTI8kopndfpGpkz/hZOPOyhSZmaRgLll2w7q162Zu4AdOzLJys4mIyOLSpWSqV7N+/902/YMXn9/MhecdVTMfY3/ZhbH9dovfgcjFUJR5m69zH/6tJl9AqQ552YVYbuJZtZ6F9tXbmRn53Dm0IdZvHwt55xyKPt1bMmFNzzD8Cv/RqtmDZg1bzF3PDaOF++7pNC6VqdvpHGD2pHXjerXYnX6RgBefX8yR/XsRIN6afE6lD2KmXHNbS9iZpza5yBO6dMjtPyjL2Zw9GEFf1Gmr9tEg3q1Iq8b1KvFmnVeYF2yPB2AS4c9Q06O48Kzj+bgrnuX8lHsOR5+4UOGDjyBbX5QBLhqUD+uvu1FHn/xf+Q4xzN3e1ejHX1oF76ZOpdT/jmSHRmZXHFhP9L83pjnXv2cc049nKqVK+e7nxWr17Ni9Xq67btX/A9qd2Pqbg0qaDKBrgUtc87NjE+Tyqfk5CTGPX0Nm7Zs54rbRvPbnyv5ce5Crr5jbGSdzEzvNpvvfjqNse9+A8Di5Wu55NYXqJSSTPPGdXl0xAW4fOYrMjNWr93IpxNn8dL9hQdaKZon7xpM/bpprN+whatve5GWzRpwQGfv6qYxb39JclISfY7Yv8A68v+8vH+zs3NYujydx+64iNVrN3L5Lc8x+pErqFk9tbQPpcKbPO0X6tSqwT7tmkXOGwKM++R7rriwH0cd2oUJk2Yx8vFxPHr7IOb+tpTkpCTeHzWMTVu2c9nNz3LQ/u3Yum0HS1es5cpB/Vixan2++/p80iyOOqQzyclFuqXuHkcDd6IKyiQfKGCZA44ujQaY2WBgMEDT5i1Ko8q4SquRSo/92jJ+8s/UrJHKuKev+cs6px1/EKcd73UX5XdOslGDWkz76ffI61XpGzlo/72Yt2A5i5enc8IF9wCwIyOTvhfczScv3RTno6q46tf1MvI6tWtwxMGdmPfbUg7o3Ib/fTmTKdPn8/BtFxb6hdCgXhpr1m6MvF6zdiP163j1NqyXRqe9W5KSkkzTRnVp0aw+S5evpWP75vE7qApq1i+LmDRtHt/OmM/OzCy2bstgxENvMnnaPK6+6CQAjj5sX0Y+8S4An038kYMP3JuUlGTq1q7Bvh1b8cuCpWzcvI35vy/jbxffS3ZODus3bmXoLc/xxJ0XR/b1+TezuG7IKfm2Q4p2Hm5PEfO9cM4dVcCjVAKkv59nnXPdnXPd69arX1rVlqp1G7awyR9IsyMjk29/WECnds1o3rgun078CQDnHL/8vrxI9R3WrQNTZvzKxs3b2Lh5G1Nm/Mph3Tpw5MEdmfjGcMaPvZnxY2+mapVKCpC7YPuOnZFuu+07djLtpwW0bdmI72f+yivvTmTksPOoWiX/7rig+nXTqFa1CnPmL8Y5xydf/cDhPToC0KtHJ36Y7WU9GzZtZenytTQN/CCSorv0vON574WbGPfcDdx+7QC67deWEVefRf26afww+08AZsz6nRZN6gHQqEFtZvz8O845tu/YyZz5i2nVvAF/O6En7784jHHP3cDTdw2hRdN6oQC5aNkaNm/ZTpcOLRNynOWdoblbg4o0mcCebs26Tdx83xvk5OSQk+M4/sj96d2zE+1aNeb2x97h6VcnkJWVzQm9D2CfvZoWWl/ttGpc8o9jOftfjwJw6bnHUTutWrwPY4+zfsMWbr7nFQCyc3I4rtd+HNx1bwZc9gCZmdlcc9sowBu8c90l/QHvkpGt2zPIysrmm+/n8cDwf9KmRUOuHXKKfwlIFj27tqenf96xx4HtmfrTAs694mGSk5K4dGDfyChlKR03XXYaDz//Idk5OVSulMKNl50GwOkn9OTOx97h3CsewTlHv2O60a51k0LrGz/xJ47ttV+F/EKX0mcuvxMupVGx2Wt4kxDUB1YBw51zLxS0zb4HdHXvjZ8cl/ZIfKzbsjPRTZBiSq6IN/2rwP5x8pHMnfVDmX1ojdp1cec88HaJt3+kf8cZzrnuha+5e4hbJumcOydedYuISPzod1RUoednzXOumf2f/7qlmfUobDsREdn9mOmcZFBRBjE9CRwC5GaGm4En4tYiERGRcqIo3a0HO+e6mtkPAM659WZW+JBAERHZLam7NaooQTLTzJLxro3EzBoAOXFtlYiIJEwF7DUtsaIEyUeBd4GGZnYn3l1Bbo1rq0REJCEMNMF5QFHmbn3FzGYAx+C9f/2dc/Pi3jIREUkIzbgTVZSbLrcEtgEfBMucc4vj2TAREZFEK0p360d45yMNqAq0AeYDnePYLhERSRD1tkYVpbt13+Br/+4gQ+LWIhERSRgz3XQ5qNgz7jjnZprZQYWvKSIiuyPFyKiinJMM3gsqCegKrIlbi0RERMqJomSSNQPPs/DOUb4Tn+aIiEiiaTKBqAKDpD+JQA3n3PVl1B4REUkgXScZFvNyGDNLcc5l43WviojIHsKb5Lxkj8LrtlFmttrMZgfK6prZeDP7zf+3TmDZMDNbYGbzzez4QHk3M/vZX/ao+bOrm1kVM3vDL//ezFoHthno7+M3MxtYlPeioGtGp/r//mhm75vZeWb2t9xHUSoXEZHdjHndrSV9FMFLQN88ZTcBE5xz7YEJ/mvMrBMwAO+Sw77Ak34PJ8BTwGCgvf/IrXMQsN451w54CLjHr6suMBw4GOgBDA8G41iKMrFCXWAtcDRwEnCy/6+IiEixOOcmAuvyFJ8KjPafjwb6B8pfd85lOOf+BBYAPcysCZDmnPvWOeeAMXm2ya3rbeAYP8s8HhjvnFvnnFsPjOevwfovCjon2dAf2Tqb6GQCkeMsrGIREdk9GUVLCUtRI+fcCgDn3Aoza+iXNwO+C6y31C/L9J/nLc/dZolfV5aZbQTqBcvz2SamgoJkMlAD8n23FCRFRCogb+DOLlVR38ymB14/65x7dheak1fepC1YXtJtYiooSK5wzt1eWAUiIlKx7GKQTHfOdS/mNqvMrImfRTYBVvvlS4EWgfWaA8v98ub5lAe3WWpmKUAtvO7dpUDvPNt8VVjDCjonqTHAIiJ7IDMr8aOE3gdyR5sOBN4LlA/wR6y2wRugM9Xvmt1sZj39843n59kmt64zgC/885afAn3MrI4/YKePX1aggjLJY4p8eCIiIkVgZq/hZXT1zWwp3ojTu4E3zWwQsBg4E8A5N8fM3gTm4k1mM9S/NBHgUryRsqnA//wHwAvAWDNbgJdBDvDrWmdmdwDT/PVud87lHUD0FzGDZFE2FhGRiqUUzkkWyDl3ToxF+SZmzrk7gTvzKZ8OdMmnfAd+kM1n2ShgVJEbSwkmOBcRkQqsiJMC7CkUJEVEJETT0kUVZTIBERGRPZIySRERiYj3OcndjYKkiIiEqLc1SkFSREQCjCRdJh+hICkiIhGGMskgDdwRERGJQZmkiIhEFf2+kHsEBUkREQnRdZJRCpIiIhKhc5JhCpIiIhKiTDJKA3dERERiUCYpIiIhSiSjFCRFRCTCUBdjkIKkiIhEGZhSyQj9YBAREYlBmaSIiIQoj4xSkBQRkQjvVlkKk7kUJEVEJEQhMkpBUkREQpRIRmngjoiISAzKJEVEJMB0CUiAgqSIiERoMoEwBUkREQlRJhmlICkiIiEKkVHKqkVERGIoV5lk5eQkmtZJTXQzpBj0ee1+nHOJboIUQ9VKyWW7Q83dGlKugqSIiCSWBu6EKUiKiEiIMsko/WAQERGJQZmkiIiEKI+MUpAUEZEQ9bZGKUiKiEiEN3BHUTKXgqSIiIQok4zSwB0REZEYlEmKiEiAYepujVCQFBGREHW3RilIiohIhAbuhClIiohIlCmTDNLAHRERkRiUSYqISIgyySgFSRERCdHo1igFSRERiTAgSTEyQuckRUREYlAmKSIiIepujVKQFBGREA3ciVKQFBGREGWSUQqSIiISoYE7YRq4IyIiEoMySRERCdBdQIIUJEVEJEpzt4YoSIqISIhiZJSCpIiIRHgDdxQmc2ngjoiISAzKJEVEJER5ZJSCpIiIhClKRihIiohIiC4BidI5SRERkRiUSYqISIgGt0YpSIqISIhiZJSCpIiIhClKRuicpIiIRBi5s7eW7L8i7cNsoZn9bGY/mtl0v6yumY03s9/8f+sE1h9mZgvMbL6ZHR8o7+bXs8DMHjXzOorNrIqZveGXf29mrUv6fihIiohIIhzlnDvAOdfdf30TMME51x6Y4L/GzDoBA4DOQF/gSTNL9rd5ChgMtPcfff3yQcB651w74CHgnpI2UkFSRESi/AnOS/rYBacCo/3no4H+gfLXnXMZzrk/gQVADzNrAqQ55751zjlgTJ5tcut6GzgmN8ssLgVJEREJsV14APXNbHrgMTifXTjgMzObEVjeyDm3AsD/t6Ff3gxYEth2qV/WzH+etzy0jXMuC9gI1Cvu+wAauCMiInntWkaYHuhCjeUw59xyM2sIjDezX4rZGldAeUHbFJsySRERCdiVYTtFi67OueX+v6uBd4EewCq/CxX/39X+6kuBFoHNmwPL/fLm+ZSHtjGzFKAWsK7YbwUKkiIiUobMrLqZ1cx9DvQBZgPvAwP91QYC7/nP3wcG+CNW2+AN0Jnqd8luNrOe/vnG8/Nsk1vXGcAX/nnLYlN3q4iIhMR5xp1GwLv+OJoU4FXn3CdmNg1408wGAYuBMwGcc3PM7E1gLpAFDHXOZft1XQq8BKQC//MfAC8AY81sAV4GOaCkjVWQFBGRiMAAnLhwzv0B7J9P+VrgmBjb3AncmU/5dKBLPuU78IPsrlKQFBGRMM24E6FzkiIiIjEokxQRkRDdTzJKQVJEREJ0q6woBUkREQlRjIxSkBQRkah4D2/dzShI7qKlK9dz6YgxrF67iSQzBp52GJeccxT//Xwm9zz7MfMXrmLCS9dxYKdWkW0efPFTXn7/W5KTkrj7ujM45pBOCTyCPc+OjEz6DX6YjMwssrOyOeWYAxk2pF9k+WNjP+f/Hv0vC8bfTb3aNZgxZyFX3fka4M1rddPFJ3LSUX8ZwS6l7PI7XuGzSbOpX6cmU16/GYC7n/2Yse9NoV7tGgD8+7KTOe6wzqzbsJULhr3AD3MXcc5JB3Pv9WdF6hk3fgYPvvgZ2dk59DmsM7dd0T8RhyO7qbgFSTNrgTcre2MgB3jWOfdIvPaXKCkpSfznqr+x/z4t2Lx1B0edfw+9D96Hjns1Zcy9F3P1yNdC6//yxwrGjZ/Jt2/cwso1G+k/9HGmv/N/JCdroHFZqVI5hfeeuoIa1aqQmZXNCRc9yLGHduKgfduwdOV6vpr6C80bR25lR8e9mvLlmBtISUlmZfpGev19JH17dSElJbmAvciu+nu/g7n4zCO4dMTYUPkl5xzFv84NX05XpUoKNw/px7zfVzDvj+WR8nUbtjL80ff4csz11K9Tk8tGjOXrqfM5skeHMjmG3ZUG7kTF85s5C7jWOdcR6AkM9e8LVqE0rl+L/ffxphWsWb0qe7duzIo1G+jQpjHtWzf6y/offz2Lvx3XlSqVK9GqWX3atqjPjDkLy7jVezYzo0a1KgBkZmWTmZVN7l10bnnoHUb8qz/Bu+pUq1o5EhAzMjIp4R13pJgO7dqOOmnVirRu9dQq9DxgL6pUCf/uX7g8nXYtG1C/Tk0AjuzRgQ++/LG0m1qhGAm7VVa5FLdM0p9XL/e2J5vNbB7e7UvmxmufibZ4+VpmzV9Kt86tY66zYs1GuneJLm/asA4r1myMf+MkJDs7h97n3cOfS9cw6Mwj6N6lNR9/PYsmDWqz797N/7L+9NkL+dftL7Nk5Tqevm2gssgEev6tibzx8VQO6NiS/1x5GrULCKRtmzfg10WrWbx8LU0b1uajr2eRmZkdc33xVMBYV2Jl0sdnZq2BA4Hv81k2OPe+Y2vS15RFc+Jiy7YMzr/xeUZeczppNVJjrpffHLsV8ddXeZecnMQ3rw5jzkf/YeacRcz+bRkPvvgpwy7pl+/63bu05ts3b2XC6Bt46KXP2JGRWcYtFoALTz+cmeOGM/HlG2lcL41bH3m3wPVrp1XjgRvP4sJbXuTEwQ/TskldUnRqQ4oh7n8tZlYDeAe4yjm3Ke9y59yzzrnuzrnuDeo3iHdz4iIzK5uBNz7HmX27c/LRBxS4btOGtVm2an3k9fLV62lcv1acWyix1KpZjcO7ted/X89i0fK19Pr7SPY75f9YvnoDR557D6vSw3+yHdo0plpqZeb9vjxGjRJPDeulkZycRFJSEuf3P5SZcxYVuk3fXvvy+YvX8dmoa2nXqhFtW+ye3zNlahfvulyRxDVImlklvAD5inNuXDz3lSjOOf51xyvs3boxQ/+R79y8ISccsR/jxs8kY2cmi5al8/viNQV2z0rpS1+/mY2btwGwfcdOvpo6n307NOe3z+5m1vu3M+v922nasDZfv3wjjeqnsWhZOllZXhfd4hXrWLBoFS2blugm57KLVqZHT018+NVPdNyrSaHbrFm3GYANm7Yx6u1vOO/UQ+PWvooi3veT3J3Ec3Sr4d2uZJ5z7sF47SfRvvvpD974eCqd2jWl199HAvDvoaewc2cWN97/Funrt3D21U+z797NeOexy+m4VxP6H3sgPc+6k5TkJO674SyNbC1jK9M3cdmIsWTn5JCT4zjt2K707bVvzPW//ekPHnnpM1JSkklKMu6/8ezIJQgSPxfd+iKTZyxg7YYtdD7p39x08YlMnvkbP/+6FDOjZZO6PDgsegek/U8dzuatO8jMzOKjr3/mnUcvY5+2TRj24NvM/s3L/K8f1Jd2rRom6pB2GzoFFGUlvA9l4RWbHQ58A/yMdwkIwM3OuY9jbdOtW3c3+fvpcWmPiHji9f+8xMdhPQ9i5ozpZRa2uuzf1Y37dFKJt+/QpPoM51z3UmxSQsVzdOskKmQPtYiI7Ck0446IiIQpvYlQkBQRkQhvkKqiZC4FSRERiaqgM+eUlIKkiIiEKEZG6doDERGRGJRJiohImFLJCAVJEREJqJgz55SUgqSIiIRo4E6UzkmKiIjEoExSREQiKujNPEpMQVJERMIUJSMUJEVEJEQDd6IUJEVEJEQDd6I0cEdERCQGZZIiIhKiRDJKQVJERKI0wXmIgqSIiOShKJlLQVJERCIMZZJBGrgjIiISgzJJEREJUSIZpSApIiIh6m6NUpAUEZEQzbgTpXOSIiIiMSiTFBGRMCWSEQqSIiISohgZpSApIiIRphl3QhQkRUQkRAN3ojRwR0REJAZlkiIiEqZEMkJBUkREQhQjoxQkRUQkRAN3ohQkRUQkwDRwJ0ADd0RERGJQJikiIhG6n2SYMkkREZEYlEmKiEiIMskoZZIiIiIxKJMUEZEQjW6NUpAUEZEoTXAeoiApIiIRhmbcCVKQFBGRMEXJCA3cERERiUGZpIiIhGjgTpSCpIiIhGjgTpSCpIiIhChGRilIiohImKJkhAbuiIiIxKBMUkREQjRwJ0pBUkREInSrrDBzziW6DRFmtgZYlOh2xEF9ID3RjZBi0We2e6nIn1cr51yDstqZmX2C936WVLpzrm9ptSfRylWQrKjMbLpzrnui2yFFp89s96LPS+JFA3dERERiUJAUERGJQUGybDyb6AZIsekz273o85K40DlJERGRGJRJioiIxKAgGUdm1tfM5pvZAjO7KdHtkcKZ2SgzW21msxPdFimcmbUwsy/NbJ6ZzTGzKxPdJqlY1N0aJ2aWDPwKHAcsBaYB5zjn5ia0YVIgMzsC2AKMcc51SXR7pGBm1gRo4pybaWY1gRlAf/1/JqVFmWT89AAWOOf+cM7tBF4HTk1wm6QQzrmJwLpEt0OKxjm3wjk303++GZgHNEtsq6QiUZCMn2bAksDrpeh/XpG4MbPWwIHA9wluilQgCpLxk9/sh+rbFokDM6sBvANc5ZzblOj2SMWhIBk/S4EWgdfNgeUJaotIhWVmlfAC5CvOuXGJbo9ULAqS8TMNaG9mbcysMjAAeD/BbRKpUMzMgBeAec65BxPdHql4FCTjxDmXBVwOfIo3mOBN59ycxLZKCmNmrwHfAh3MbKmZDUp0m6RAhwHnAUeb2Y/+48REN0oqDl0CIiIiEoMySRERkRgUJEVERGJQkBQREYlBQVJERCQGBUkREZEYFCQlocws2x+2P9vM3jKzartQ10tmdob//Hkz61TAur3N7NAS7GOhmdUvanmMOi4ws8dLY78iEl8KkpJo251zB/h33NgJXBJc6N9NpdiccxcVcieI3kCxg6SI7FkUJKU8+QZo52d5X5rZq8DPZpZsZveZ2TQzm2VmQ8CbbcXMHjezuWb2EdAwtyIz+8rMuvvP+5rZTDP7ycwm+BNhXwJc7WexvcysgZm94+9jmpkd5m9bz8w+M7MfzOwZ8p+TN19m1sPMpvjbTjGzDoHFLczsE/9+o8MD25xrZlP9dj1T0h8JIlI6UhLdABEAM0sBTgA+8Yt6AF2cc3+a2WBgo3PuIDOrAkw2s8/w7vjQAdgXaATMBUblqbcB8BxwhF9XXefcOjN7GtjinLvfX+9V4CHn3CQza4k3U1JHYDgwyTl3u5n1AwYX47B+8febZWbHAncBpwePD9gGTPOD/FbgbOAw51ymmT0J/AMYU4x9ikgpUpCUREs1sx/959/gzcN5KDDVOfenX94H2C/3fCNQC2gPHAG85pzLBpab2Rf51N8TmJhbl3Mu1r0ijwU6eVOBApDm38T3COBv/rYfmdn6YhxbLWC0mbXHuwNMpcCy8c65tQBmNg44HMgCuuEFTYBUYHUx9icipUxBUhJtu3PugGCBHyC2BouAfznnPs2z3okUfvsxK8I64J16OMQ5tz2ftpR07sY7gC+dc6f5XbxfBZblrdP5bR3tnBtWwv2JSCnTOUnZHXwKXOrfEgkz29vMqgMTgQH+OcsmwFH5bPstcKSZtfG3reuXbwZqBtb7DG9Cevz1DvCfTsTr8sTMTgDqFKPdtYBl/vML8iw7zszqmlkq0B+YDEwAzjCzhrltNbNWxdifiJQyBUnZHTyPd75xppnNBp7B6wV5F/gN+Bl4Cvg674bOuTV45xHHmdlPwBv+og+A03IH7gBXAN39gUFziY6yvQ04wsxm4nX7Li6gnbP8O4csNbMHgXuBkWY2Gcg7AGcSMBb4EXjHOTfdH417K/CZmc0CxgNNivYWiUg86C4gIiIiMSiTFBERiUFBUkREJAYFSRERkRgUJEVERGJQkBQREYlBQVJERCQGBUkREZEYFCRFRERi+H+kQdsPQOlxwAAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 720x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "my_plot_confusion_matrix(lclf, X_test, y_test, title=\"confusion matrix LogisticRegression\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Using Extreme Gradient Boosting:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.88      0.72      0.79    341204\n",
      "           1       0.44      0.48      0.46    130860\n",
      "           2       0.03      0.69      0.05      2072\n",
      "\n",
      "    accuracy                           0.65    474136\n",
      "   macro avg       0.45      0.63      0.43    474136\n",
      "weighted avg       0.75      0.65      0.70    474136\n",
      "\n",
      "accuracy of the model is: 65.41 %\n"
     ]
    }
   ],
   "source": [
    "xgb_model = xgb.XGBClassifier(\n",
    "    learning_rate=0.1,\n",
    "    n_estimators=200,\n",
    "    objective='multi:softmax',\n",
    "    eval_metric='mlogloss',\n",
    "    n_jobs=-1)\n",
    "\n",
    "# print accuracy\n",
    "xgb_acc = print_accuracy(xgb_model, X_train, X_test, y_train, y_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 720x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "my_plot_confusion_matrix(xgb_model, X_test, y_test, title=\"confusion matrix XGBClassifier\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Using MLP classifier model:\n",
    "\n",
    "> Architecture:\n",
    "\n",
    "\n",
    "![architecture](images/mlp-arc.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       0.73      0.89      0.80    341204\n",
      "           1       0.00      0.00      0.00    130860\n",
      "           2       0.01      0.24      0.02      2072\n",
      "\n",
      "    accuracy                           0.64    474136\n",
      "   macro avg       0.25      0.38      0.27    474136\n",
      "weighted avg       0.52      0.64      0.58    474136\n",
      "\n",
      "accuracy of the model is: 64.16 %\n"
     ]
    }
   ],
   "source": [
    "classifier_mlp = MLPClassifier(\n",
    "    activation='relu', learning_rate='invscaling', solver='sgd',\n",
    "    hidden_layer_sizes=(40, 60, 20, 10 ), random_state=42, max_iter=50)\n",
    "\n",
    "mlp_acc = print_accuracy(classifier_mlp, X_train, X_test, y_train, y_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 720x432 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "my_plot_confusion_matrix(classifier_mlp, X_test, y_test, title=\"confusion matrix MLPClassifier\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [],
   "source": [
    "balanced_accuracies = [knn_acc, lgr_acc, xgb_acc, mlp_acc]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Models Summary:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 480x400 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "X = [\"knn\", \"logistic\", \"xgb\", \"mlp\"]\n",
    "fig = plt.figure(figsize=(6, 5), dpi=80)\n",
    "ax = fig.add_axes([0,0,1,1])\n",
    "ax.bar(X, regular_accuracies, color = 'b', width = 0.25)\n",
    "ax.bar(X, balanced_accuracies, color = 'g', width = 0.25)\n",
    "ax.legend([\"regular\", \"balanced\"], loc='upper right')\n",
    "ax.yaxis.set_major_formatter(FormatStrFormatter('%.2f'))\n",
    "ax.grid()\n",
    "fig.tight_layout()\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Conclusions:\n",
    "\n",
    "It's very difficult to precdict popularity of spotify tracks with the data we have in our data set,\n",
    "Even after we cleaned & normalized our data, and creation balanced and non-balanced training data for our models,\n",
    "We still see that the accuracy of our models is moderate."
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.8"
  },
  "vscode": {
   "interpreter": {
    "hash": "75c306b23597597072656ba1c337e5164d6a7e38417424e0880e7ecaf57ec34a"
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}