Final_version_live_test.ipynb

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  "metadata": {
    "colab": {
      "name": "FinalProject-LiveShow.ipynb",
      "provenance": [],
      "collapsed_sections": [],
      "authorship_tag": "ABX9TyNh1XrXaS3NR94hJMCmvlMB",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/ttarom/Anime_recommendation/blob/master/Final_version_live_test.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "7IWCIpaqO7CR",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 123
        },
        "outputId": "2d1c08d5-bb9b-4d14-eb02-3da3cf18d736"
      },
      "source": [
        "#Let's mount google drive so we can read data files:\n",
        "from google.colab import drive\n",
        "drive.mount('/content/drive')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Go to this URL in a browser: https://accounts.google.com/o/oauth2/auth?client_id=947318989803-6bn6qk8qdgf4n4g3pfee6491hc0brc4i.apps.googleusercontent.com&redirect_uri=urn%3aietf%3awg%3aoauth%3a2.0%3aoob&scope=email%20https%3a%2f%2fwww.googleapis.com%2fauth%2fdocs.test%20https%3a%2f%2fwww.googleapis.com%2fauth%2fdrive%20https%3a%2f%2fwww.googleapis.com%2fauth%2fdrive.photos.readonly%20https%3a%2f%2fwww.googleapis.com%2fauth%2fpeopleapi.readonly&response_type=code\n",
            "\n",
            "Enter your authorization code:\n",
            "··········\n",
            "Mounted at /content/drive\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "193l86S9e8W4",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 71
        },
        "outputId": "d148f092-6b37-4e67-9695-aa14293e466e"
      },
      "source": [
        "import numpy as np \n",
        "import pandas as pd \n",
        "path = \"/content/drive/My Drive/Colab Notebooks/datasets_anime/df_anime_final.csv\"\n",
        "df_anime_final = pd.read_csv(path)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.6/dist-packages/IPython/core/interactiveshell.py:2718: DtypeWarning: Columns (44) have mixed types.Specify dtype option on import or set low_memory=False.\n",
            "  interactivity=interactivity, compiler=compiler, result=result)\n"
          ],
          "name": "stderr"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "KukEzH4COOio",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 71
        },
        "outputId": "9831ce83-4df7-42fa-c66e-cb9c1810b7ac"
      },
      "source": [
        "import os\n",
        "import datetime\n",
        "import seaborn as sns\n",
        "import matplotlib.pyplot as plt\n",
        "import plotly as py\n",
        "import plotly.express as px\n",
        "import plotly.graph_objs as go\n",
        "from sklearn.model_selection import train_test_split, cross_val_score\n",
        "from sklearn.metrics import accuracy_score\n",
        "from sklearn.metrics import confusion_matrix\n",
        "from sklearn.ensemble import ExtraTreesClassifier\n",
        "from sklearn.tree import ExtraTreeClassifier\n",
        "from sklearn.model_selection import train_test_split\n",
        "from sklearn.metrics import classification_report\n",
        "from sklearn.multioutput import MultiOutputClassifier\n",
        "from sklearn.pipeline import make_pipeline\n",
        "from sklearn.linear_model import RidgeClassifierCV\n",
        "from sklearn.neighbors import KNeighborsClassifier\n",
        "from sklearn.pipeline import make_pipeline\n",
        "from sklearn.ensemble import RandomForestClassifier\n",
        "from sklearn.linear_model import SGDClassifier\n",
        "from sklearn.neural_network import MLPClassifier\n",
        "from sklearn.svm import LinearSVC\n",
        "from sklearn.metrics import jaccard_score\n",
        "from sklearn.metrics import multilabel_confusion_matrix\n",
        "from sklearn.metrics import precision_recall_fscore_support\n",
        "from sklearn.metrics import f1_score\n",
        "from sklearn.metrics import precision_score\n",
        "from sklearn.metrics import recall_score\n",
        "from sklearn.metrics import accuracy_score\n",
        "import time\n",
        "from timeit import default_timer as timer\n",
        "from time import strftime\n",
        "from time import gmtime\n",
        "plt.rcParams['figure.facecolor'] = 'white'\n",
        "plt.rcParams[\"figure.figsize\"] = (15,25)\n",
        "import warnings\n",
        "warnings.filterwarnings('ignore')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.6/dist-packages/statsmodels/tools/_testing.py:19: FutureWarning: pandas.util.testing is deprecated. Use the functions in the public API at pandas.testing instead.\n",
            "  import pandas.util.testing as tm\n"
          ],
          "name": "stderr"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "XAdECfMBPK4b",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 931
        },
        "outputId": "85c182a3-aa64-4364-bed3-7a8377bbb272"
      },
      "source": [
        "df_anime_final.head()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "<div>\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>username</th>\n",
              "      <th>anime_id</th>\n",
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              "      <th>user_days_spent_watching</th>\n",
              "      <th>birth_date</th>\n",
              "      <th>join_date</th>\n",
              "      <th>last_online</th>\n",
              "      <th>stats_mean_score</th>\n",
              "      <th>stats_rewatched</th>\n",
              "      <th>stats_episodes</th>\n",
              "      <th>location</th>\n",
              "      <th>gender_Female</th>\n",
              "      <th>gender_Male</th>\n",
              "      <th>title</th>\n",
              "      <th>title_english</th>\n",
              "      <th>title_japanese</th>\n",
              "      <th>title_synonyms</th>\n",
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              "      <th>type</th>\n",
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              "      <th>duration</th>\n",
              "      <th>score</th>\n",
              "      <th>scored_by</th>\n",
              "      <th>...</th>\n",
              "      <th>Magic</th>\n",
              "      <th>Space</th>\n",
              "      <th>Game</th>\n",
              "      <th>Sports</th>\n",
              "      <th>Ecchi</th>\n",
              "      <th>Sci-Fi</th>\n",
              "      <th>Mystery</th>\n",
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              "      <th>Supernatural</th>\n",
              "      <th>Police</th>\n",
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              "      <th>Horror</th>\n",
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              "      <th>Hentai</th>\n",
              "      <th>Music</th>\n",
              "      <th>Dementia</th>\n",
              "      <th>Romance</th>\n",
              "      <th>Seinen</th>\n",
              "      <th>Historical</th>\n",
              "      <th>Kids</th>\n",
              "      <th>School</th>\n",
              "      <th>Thriller</th>\n",
              "      <th>Mecha</th>\n",
              "      <th>Josei</th>\n",
              "      <th>Parody</th>\n",
              "      <th>Super Power</th>\n",
              "      <th>Shounen</th>\n",
              "      <th>Samurai</th>\n",
              "      <th>Cars</th>\n",
              "      <th>Shoujo</th>\n",
              "      <th>Yaoi</th>\n",
              "      <th>Martial Arts</th>\n",
              "      <th>rating_G - All Ages</th>\n",
              "      <th>rating_None</th>\n",
              "      <th>rating_PG - Children</th>\n",
              "      <th>rating_PG-13 - Teens 13 or older</th>\n",
              "      <th>rating_R - 17+ (violence &amp; profanity)</th>\n",
              "      <th>rating_R+ - Mild Nudity</th>\n",
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              "      <td>29</td>\n",
              "      <td>Action</td>\n",
              "      <td>Action, Comedy, Ecchi, Sci-Fi, Shounen, Space,...</td>\n",
              "      <td>131</td>\n",
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              "      <td>2015-12-28 21:31:40</td>\n",
              "      <td>7.50</td>\n",
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              "      <td>CANADA</td>\n",
              "      <td>0</td>\n",
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              "      <td>Battle Athletes</td>\n",
              "      <td>バトルアスリーテス大運動会</td>\n",
              "      <td>Battle Athletes OVA</td>\n",
              "      <td>https://myanimelist.cdn-dena.com/images/anime/...</td>\n",
              "      <td>OVA</td>\n",
              "      <td>Original</td>\n",
              "      <td>6</td>\n",
              "      <td>Finished Airing</td>\n",
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              "      <td>{'from': '1997-05-25', 'to': '1998-06-25'}</td>\n",
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              "      <td>CANADA</td>\n",
              "      <td>19</td>\n",
              "      <td>Action</td>\n",
              "      <td>Action, Comedy, Ecchi, Sci-Fi, Shounen, Space,...</td>\n",
              "      <td>165</td>\n",
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              "      <td>92</td>\n",
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              "      <td>1</td>\n",
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              "      <td>63.645833</td>\n",
              "      <td>2001-07-12</td>\n",
              "      <td>2017-03-11 00:00:00</td>\n",
              "      <td>2018-05-16 01:29:30</td>\n",
              "      <td>7.89</td>\n",
              "      <td>139.0</td>\n",
              "      <td>3836</td>\n",
              "      <td>CANADA</td>\n",
              "      <td>0</td>\n",
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              "      <td>Battle Athletess Daiundoukai</td>\n",
              "      <td>Battle Athletes</td>\n",
              "      <td>バトルアスリーテス大運動会</td>\n",
              "      <td>Battle Athletes OVA</td>\n",
              "      <td>https://myanimelist.cdn-dena.com/images/anime/...</td>\n",
              "      <td>OVA</td>\n",
              "      <td>Original</td>\n",
              "      <td>6</td>\n",
              "      <td>Finished Airing</td>\n",
              "      <td>False</td>\n",
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              "      <td>6.6</td>\n",
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              "      <td>0</td>\n",
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              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>lilstilinski</td>\n",
              "      <td>1185</td>\n",
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              "      <td>2</td>\n",
              "      <td>CANADA</td>\n",
              "      <td>25</td>\n",
              "      <td>Action</td>\n",
              "      <td>Action, Comedy, Ecchi, Sci-Fi, Shounen, Space,...</td>\n",
              "      <td>21</td>\n",
              "      <td>2250905</td>\n",
              "      <td>19</td>\n",
              "      <td>70</td>\n",
              "      <td>7</td>\n",
              "      <td>3</td>\n",
              "      <td>65</td>\n",
              "      <td>49.586806</td>\n",
              "      <td>1994-12-21</td>\n",
              "      <td>2013-03-02 00:00:00</td>\n",
              "      <td>2018-03-26 01:32:15</td>\n",
              "      <td>7.65</td>\n",
              "      <td>23.0</td>\n",
              "      <td>2971</td>\n",
              "      <td>CANADA</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>Battle Athletess Daiundoukai</td>\n",
              "      <td>Battle Athletes</td>\n",
              "      <td>バトルアスリーテス大運動会</td>\n",
              "      <td>Battle Athletes OVA</td>\n",
              "      <td>https://myanimelist.cdn-dena.com/images/anime/...</td>\n",
              "      <td>OVA</td>\n",
              "      <td>Original</td>\n",
              "      <td>6</td>\n",
              "      <td>Finished Airing</td>\n",
              "      <td>False</td>\n",
              "      <td>May 25, 1997 to Jun 25, 1998</td>\n",
              "      <td>{'from': '1997-05-25', 'to': '1998-06-25'}</td>\n",
              "      <td>32 min. per ep.</td>\n",
              "      <td>6.6</td>\n",
              "      <td>1451</td>\n",
              "      <td>...</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
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              "      <td>3941949</td>\n",
              "      <td>0</td>\n",
              "      <td>267</td>\n",
              "      <td>6</td>\n",
              "      <td>0</td>\n",
              "      <td>2022</td>\n",
              "      <td>43.479896</td>\n",
              "      <td>1997-12-26</td>\n",
              "      <td>2014-07-19 00:00:00</td>\n",
              "      <td>2018-05-18 23:09:32</td>\n",
              "      <td>4.64</td>\n",
              "      <td>10.0</td>\n",
              "      <td>2747</td>\n",
              "      <td>CANADA</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>Battle Athletess Daiundoukai</td>\n",
              "      <td>Battle Athletes</td>\n",
              "      <td>バトルアスリーテス大運動会</td>\n",
              "      <td>Battle Athletes OVA</td>\n",
              "      <td>https://myanimelist.cdn-dena.com/images/anime/...</td>\n",
              "      <td>OVA</td>\n",
              "      <td>Original</td>\n",
              "      <td>6</td>\n",
              "      <td>Finished Airing</td>\n",
              "      <td>False</td>\n",
              "      <td>May 25, 1997 to Jun 25, 1998</td>\n",
              "      <td>{'from': '1997-05-25', 'to': '1998-06-25'}</td>\n",
              "      <td>32 min. per ep.</td>\n",
              "      <td>6.6</td>\n",
              "      <td>1451</td>\n",
              "      <td>...</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Fantomdruid</td>\n",
              "      <td>1185</td>\n",
              "      <td>8</td>\n",
              "      <td>2</td>\n",
              "      <td>USA</td>\n",
              "      <td>32</td>\n",
              "      <td>Action</td>\n",
              "      <td>Action, Comedy, Ecchi, Sci-Fi, Shounen, Space,...</td>\n",
              "      <td>89</td>\n",
              "      <td>323166</td>\n",
              "      <td>40</td>\n",
              "      <td>949</td>\n",
              "      <td>38</td>\n",
              "      <td>0</td>\n",
              "      <td>121</td>\n",
              "      <td>199.865278</td>\n",
              "      <td>1987-09-24</td>\n",
              "      <td>2010-05-01 00:00:00</td>\n",
              "      <td>2011-02-17 02:49:00</td>\n",
              "      <td>7.36</td>\n",
              "      <td>31.0</td>\n",
              "      <td>12593</td>\n",
              "      <td>USA</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>Battle Athletess Daiundoukai</td>\n",
              "      <td>Battle Athletes</td>\n",
              "      <td>バトルアスリーテス大運動会</td>\n",
              "      <td>Battle Athletes OVA</td>\n",
              "      <td>https://myanimelist.cdn-dena.com/images/anime/...</td>\n",
              "      <td>OVA</td>\n",
              "      <td>Original</td>\n",
              "      <td>6</td>\n",
              "      <td>Finished Airing</td>\n",
              "      <td>False</td>\n",
              "      <td>May 25, 1997 to Jun 25, 1998</td>\n",
              "      <td>{'from': '1997-05-25', 'to': '1998-06-25'}</td>\n",
              "      <td>32 min. per ep.</td>\n",
              "      <td>6.6</td>\n",
              "      <td>1451</td>\n",
              "      <td>...</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>5 rows × 102 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "       username  anime_id  ...  rating_R+ - Mild Nudity  rating_Rx - Hentai\n",
              "0    xETHEREALx      1185  ...                        0                   0\n",
              "1    Jakiepoolh      1185  ...                        0                   0\n",
              "2  lilstilinski      1185  ...                        0                   0\n",
              "3      D-ohnuts      1185  ...                        0                   0\n",
              "4   Fantomdruid      1185  ...                        0                   0\n",
              "\n",
              "[5 rows x 102 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "1_B5LjiNPOQ0",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "011f74b2-e7f1-4a6f-c6d3-cdd68542594d"
      },
      "source": [
        "#from sklearn.preprocessing import OrdinalEncoder\n",
        "#enc = OrdinalEncoder()\n",
        "#df_anime_final[\"location_enc\"] = enc.fit_transform(df_anime_final[[\"location_x\"]])\n",
        "df_anime_final_frac = df_anime_final\n",
        "loc_codes, loc_uniques = pd.factorize(df_anime_final_frac['location'])\n",
        "df_anime_final_frac['location'] = loc_codes\n",
        "codes, uniques = pd.factorize(df_anime_final_frac['type'])\n",
        "df_anime_final_frac['type'] = codes\n",
        "codes, uniques = pd.factorize(df_anime_final_frac['source'])\n",
        "df_anime_final_frac['source'] = codes\n",
        "codes, uniques = pd.factorize(df_anime_final_frac['status'])\n",
        "df_anime_final_frac['status'] = codes\n",
        "codes, uniques = pd.factorize(df_anime_final_frac['studio'])\n",
        "df_anime_final_frac['studio'] = codes\n",
        "#df_anime_final_frac = df_anime_final_frac.select_dtypes(exclude=['category','object'])\n",
        "df_anime_final_frac = df_anime_final_frac.groupby(\"anime_id\").filter(lambda x: len(x) > 1000)\n",
        "df_anime_final_frac = df_anime_final_frac[df_anime_final_frac['rank'].notna()].reset_index(drop=True)\n",
        "\n",
        "y = pd.get_dummies((df_anime_final_frac.iloc[:,1]),drop_first=False)\n",
        "X = df_anime_final_frac[['age','location','gender_Female','gender_Male','Action','Comedy','Harem','Adventure','Fantasy','Slice of Life','Magic','Space','Game','Sports','Ecchi','Sci-Fi','Mystery','Drama','Supernatural','Police','Demons','Horror','Psychological','Military','Hentai','Music','Dementia','Romance','Seinen','Historical','Kids','School','Thriller','Mecha','Josei','Parody','Super Power','Shounen','Samurai','Cars','Shoujo','Yaoi','Martial Arts']]\n",
        "choice_dict = {}\n",
        "count = 0\n",
        "\n",
        "for s in X.columns:\n",
        "  choice_dict[count] = s  \n",
        "  count+=1 \n",
        "#Begin\n",
        "print(choice_dict)\n",
        "#Age\n",
        "print(\"please enter your age: \")\n",
        "t_age = int(input())\n",
        "#location\n",
        "print(\"please enter your location: \")\n",
        "location_mapper = pd.DataFrame(list(zip(loc_codes,df_anime_final['location_x']))).rename({0:'code',1:'location'},axis=1).drop_duplicates().reset_index(drop=True)\n",
        "temp = input().strip().upper()\n",
        "t_location=int(location_mapper[location_mapper['location']==temp].iloc[0,0])\n",
        "print(t_location)\n",
        "#Gender\n",
        "print(\"please enter your gender:[m,f,nb] \")\n",
        "t_gender = input()\n",
        "#Genres choice\n",
        "print(\"Please enter 5-15 from the following genres (at least 5): \")\n",
        "print(pd.DataFrame(X.columns[4:]).rename({0:' '},axis=1))\n",
        "list_choices=[]\n",
        "t_genre = []\n",
        "flag = 0\n",
        "count = 0\n",
        "print('please choose at least 5 genres')\n",
        "while(flag == 0):\n",
        "  print(\"enter:\")\n",
        "  t_genre= input()\n",
        "  list_choices.append(t_genre)\n",
        "  count += 1\n",
        "  print('exit write y else n')\n",
        "  temp_val=input()\n",
        "  if(temp_val =='y'):\n",
        "    if(count < 5):\n",
        "      print('please choose at least 5 genres')\n",
        "      list_choices=[]\n",
        "      t_genre = []\n",
        "    else:\n",
        "      flag = 1\n",
        "#Finalize the scores\n",
        "final_list_choices=[]\n",
        "final_list_choices.append(t_age)\n",
        "final_list_choices.append(t_location)\n",
        "if(t_gender =='m'):\n",
        "  final_list_choices.append(0)\n",
        "  final_list_choices.append(1)\n",
        "elif(t_gender=='f'):\n",
        "  final_list_choices.append(1)\n",
        "  final_list_choices.append(0)\n",
        "else:\n",
        "  final_list_choices.append(0)\n",
        "  final_list_choices.append(0)\n",
        "while(len(final_list_choices)<len(X.columns)):\n",
        "  final_list_choices.append(0)\n",
        "for s in list_choices:\n",
        "  final_list_choices[4+int(s)]=1\n",
        "\n",
        "print(final_list_choices)\n"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "{0: 'age', 1: 'location', 2: 'gender_Female', 3: 'gender_Male', 4: 'Action', 5: 'Comedy', 6: 'Harem', 7: 'Adventure', 8: 'Fantasy', 9: 'Slice of Life', 10: 'Magic', 11: 'Space', 12: 'Game', 13: 'Sports', 14: 'Ecchi', 15: 'Sci-Fi', 16: 'Mystery', 17: 'Drama', 18: 'Supernatural', 19: 'Police', 20: 'Demons', 21: 'Horror', 22: 'Psychological', 23: 'Military', 24: 'Hentai', 25: 'Music', 26: 'Dementia', 27: 'Romance', 28: 'Seinen', 29: 'Historical', 30: 'Kids', 31: 'School', 32: 'Thriller', 33: 'Mecha', 34: 'Josei', 35: 'Parody', 36: 'Super Power', 37: 'Shounen', 38: 'Samurai', 39: 'Cars', 40: 'Shoujo', 41: 'Yaoi', 42: 'Martial Arts'}\n",
            "please enter your age: \n",
            "35\n",
            "please enter your location: \n",
            "israel\n",
            "11\n",
            "please enter your gender:[m,f,nb] \n",
            "m\n",
            "Please enter 5-15 from the following genres (at least 5): \n",
            "                 \n",
            "0          Action\n",
            "1          Comedy\n",
            "2           Harem\n",
            "3       Adventure\n",
            "4         Fantasy\n",
            "5   Slice of Life\n",
            "6           Magic\n",
            "7           Space\n",
            "8            Game\n",
            "9          Sports\n",
            "10          Ecchi\n",
            "11         Sci-Fi\n",
            "12        Mystery\n",
            "13          Drama\n",
            "14   Supernatural\n",
            "15         Police\n",
            "16         Demons\n",
            "17         Horror\n",
            "18  Psychological\n",
            "19       Military\n",
            "20         Hentai\n",
            "21          Music\n",
            "22       Dementia\n",
            "23        Romance\n",
            "24         Seinen\n",
            "25     Historical\n",
            "26           Kids\n",
            "27         School\n",
            "28       Thriller\n",
            "29          Mecha\n",
            "30          Josei\n",
            "31         Parody\n",
            "32    Super Power\n",
            "33        Shounen\n",
            "34        Samurai\n",
            "35           Cars\n",
            "36         Shoujo\n",
            "37           Yaoi\n",
            "38   Martial Arts\n",
            "please choose at least 5 genres\n",
            "enter:\n",
            "4\n",
            "exit write y else n\n",
            "n\n",
            "enter:\n",
            "11\n",
            "exit write y else n\n",
            "n\n",
            "enter:\n",
            "14\n",
            "exit write y else n\n",
            "n\n",
            "enter:\n",
            "25\n",
            "exit write y else n\n",
            "n\n",
            "enter:\n",
            "31\n",
            "exit write y else n\n",
            "n\n",
            "enter:\n",
            "3\n",
            "exit write y else n\n",
            "n\n",
            "enter:\n",
            "4\n",
            "exit write y else n\n",
            "n\n",
            "enter:\n",
            "16\n",
            "exit write y else n\n",
            "n\n",
            "enter:\n",
            "18\n",
            "exit write y else n\n",
            "n\n",
            "enter:\n",
            "32\n",
            "exit write y else n\n",
            "y\n",
            "[35, 11, 0, 1, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0]\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "maTZqMlGYhEb",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "y = pd.get_dummies((df_anime_final_frac.iloc[:,1]),drop_first=False)\n",
        "X = df_anime_final_frac[['age','location','gender_Female','gender_Male','Action','Comedy','Harem','Adventure','Fantasy','Slice of Life','Magic','Space','Game','Sports','Ecchi','Sci-Fi','Mystery','Drama','Supernatural','Police','Demons','Horror','Psychological','Military','Hentai','Music','Dementia','Romance','Seinen','Historical','Kids','School','Thriller','Mecha','Josei','Parody','Super Power','Shounen','Samurai','Cars','Shoujo','Yaoi','Martial Arts']]"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "1I9Zn1cRP2Ij",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        },
        "outputId": "d8234e30-472b-47f6-f299-ed4d54997969"
      },
      "source": [
        "df_anime_final_frac['anime_id'].value_counts().count()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "615"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ClQwKhDeGLtC",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 931
        },
        "outputId": "e83e1b89-2981-415e-cd74-f6cc045fb8dc"
      },
      "source": [
        "df_anime_final_frac.head()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "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>username</th>\n",
              "      <th>anime_id</th>\n",
              "      <th>my_score</th>\n",
              "      <th>my_status</th>\n",
              "      <th>location_x</th>\n",
              "      <th>age</th>\n",
              "      <th>genre_1</th>\n",
              "      <th>genre_x</th>\n",
              "      <th>animes_rated</th>\n",
              "      <th>user_id</th>\n",
              "      <th>user_watching</th>\n",
              "      <th>user_completed</th>\n",
              "      <th>user_onhold</th>\n",
              "      <th>user_dropped</th>\n",
              "      <th>user_plantowatch</th>\n",
              "      <th>user_days_spent_watching</th>\n",
              "      <th>birth_date</th>\n",
              "      <th>join_date</th>\n",
              "      <th>last_online</th>\n",
              "      <th>stats_mean_score</th>\n",
              "      <th>stats_rewatched</th>\n",
              "      <th>stats_episodes</th>\n",
              "      <th>location</th>\n",
              "      <th>gender_Female</th>\n",
              "      <th>gender_Male</th>\n",
              "      <th>title</th>\n",
              "      <th>title_english</th>\n",
              "      <th>title_japanese</th>\n",
              "      <th>title_synonyms</th>\n",
              "      <th>image_url</th>\n",
              "      <th>type</th>\n",
              "      <th>source</th>\n",
              "      <th>episodes</th>\n",
              "      <th>status</th>\n",
              "      <th>airing</th>\n",
              "      <th>aired_string</th>\n",
              "      <th>aired</th>\n",
              "      <th>duration</th>\n",
              "      <th>score</th>\n",
              "      <th>scored_by</th>\n",
              "      <th>...</th>\n",
              "      <th>Magic</th>\n",
              "      <th>Space</th>\n",
              "      <th>Game</th>\n",
              "      <th>Sports</th>\n",
              "      <th>Ecchi</th>\n",
              "      <th>Sci-Fi</th>\n",
              "      <th>Mystery</th>\n",
              "      <th>Drama</th>\n",
              "      <th>Supernatural</th>\n",
              "      <th>Police</th>\n",
              "      <th>Demons</th>\n",
              "      <th>Horror</th>\n",
              "      <th>Psychological</th>\n",
              "      <th>Military</th>\n",
              "      <th>Hentai</th>\n",
              "      <th>Music</th>\n",
              "      <th>Dementia</th>\n",
              "      <th>Romance</th>\n",
              "      <th>Seinen</th>\n",
              "      <th>Historical</th>\n",
              "      <th>Kids</th>\n",
              "      <th>School</th>\n",
              "      <th>Thriller</th>\n",
              "      <th>Mecha</th>\n",
              "      <th>Josei</th>\n",
              "      <th>Parody</th>\n",
              "      <th>Super Power</th>\n",
              "      <th>Shounen</th>\n",
              "      <th>Samurai</th>\n",
              "      <th>Cars</th>\n",
              "      <th>Shoujo</th>\n",
              "      <th>Yaoi</th>\n",
              "      <th>Martial Arts</th>\n",
              "      <th>rating_G - All Ages</th>\n",
              "      <th>rating_None</th>\n",
              "      <th>rating_PG - Children</th>\n",
              "      <th>rating_PG-13 - Teens 13 or older</th>\n",
              "      <th>rating_R - 17+ (violence &amp; profanity)</th>\n",
              "      <th>rating_R+ - Mild Nudity</th>\n",
              "      <th>rating_Rx - Hentai</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>xETHEREALx</td>\n",
              "      <td>33</td>\n",
              "      <td>0</td>\n",
              "      <td>6</td>\n",
              "      <td>CANADA</td>\n",
              "      <td>29</td>\n",
              "      <td>Action</td>\n",
              "      <td>Action, Adventure, Demons, Drama, Fantasy, Hor...</td>\n",
              "      <td>131</td>\n",
              "      <td>11895</td>\n",
              "      <td>21</td>\n",
              "      <td>830</td>\n",
              "      <td>48</td>\n",
              "      <td>3</td>\n",
              "      <td>438</td>\n",
              "      <td>239.719676</td>\n",
              "      <td>1991-08-08</td>\n",
              "      <td>2007-09-01 00:00:00</td>\n",
              "      <td>2015-12-28 21:31:40</td>\n",
              "      <td>7.50</td>\n",
              "      <td>0.0</td>\n",
              "      <td>14654</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>Kenpuu Denki Berserk</td>\n",
              "      <td>Berserk</td>\n",
              "      <td>剣風伝奇ベルセルク</td>\n",
              "      <td>Berserk: The Chronicles of Wind Blades, Sword-...</td>\n",
              "      <td>https://myanimelist.cdn-dena.com/images/anime/...</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>25</td>\n",
              "      <td>0</td>\n",
              "      <td>False</td>\n",
              "      <td>Oct 8, 1997 to Apr 1, 1998</td>\n",
              "      <td>{'from': '1997-10-08', 'to': '1998-04-01'}</td>\n",
              "      <td>25 min. per ep.</td>\n",
              "      <td>8.45</td>\n",
              "      <td>153890</td>\n",
              "      <td>...</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>dawningofwar3</td>\n",
              "      <td>33</td>\n",
              "      <td>0</td>\n",
              "      <td>2</td>\n",
              "      <td>CANADA</td>\n",
              "      <td>29</td>\n",
              "      <td>Action</td>\n",
              "      <td>Action, Adventure, Demons, Drama, Fantasy, Hor...</td>\n",
              "      <td>70</td>\n",
              "      <td>312781</td>\n",
              "      <td>1</td>\n",
              "      <td>775</td>\n",
              "      <td>17</td>\n",
              "      <td>0</td>\n",
              "      <td>32</td>\n",
              "      <td>244.884954</td>\n",
              "      <td>1991-07-18</td>\n",
              "      <td>2010-04-05 00:00:00</td>\n",
              "      <td>2012-06-29 01:19:00</td>\n",
              "      <td>8.07</td>\n",
              "      <td>0.0</td>\n",
              "      <td>14728</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>Kenpuu Denki Berserk</td>\n",
              "      <td>Berserk</td>\n",
              "      <td>剣風伝奇ベルセルク</td>\n",
              "      <td>Berserk: The Chronicles of Wind Blades, Sword-...</td>\n",
              "      <td>https://myanimelist.cdn-dena.com/images/anime/...</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>25</td>\n",
              "      <td>0</td>\n",
              "      <td>False</td>\n",
              "      <td>Oct 8, 1997 to Apr 1, 1998</td>\n",
              "      <td>{'from': '1997-10-08', 'to': '1998-04-01'}</td>\n",
              "      <td>25 min. per ep.</td>\n",
              "      <td>8.45</td>\n",
              "      <td>153890</td>\n",
              "      <td>...</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>ScarletMuse</td>\n",
              "      <td>33</td>\n",
              "      <td>0</td>\n",
              "      <td>6</td>\n",
              "      <td>CANADA</td>\n",
              "      <td>28</td>\n",
              "      <td>Action</td>\n",
              "      <td>Action, Adventure, Demons, Drama, Fantasy, Hor...</td>\n",
              "      <td>101</td>\n",
              "      <td>295393</td>\n",
              "      <td>5</td>\n",
              "      <td>506</td>\n",
              "      <td>75</td>\n",
              "      <td>0</td>\n",
              "      <td>406</td>\n",
              "      <td>162.502083</td>\n",
              "      <td>1992-05-02</td>\n",
              "      <td>2010-02-16 00:00:00</td>\n",
              "      <td>2014-06-12 20:51:00</td>\n",
              "      <td>7.70</td>\n",
              "      <td>0.0</td>\n",
              "      <td>9883</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>Kenpuu Denki Berserk</td>\n",
              "      <td>Berserk</td>\n",
              "      <td>剣風伝奇ベルセルク</td>\n",
              "      <td>Berserk: The Chronicles of Wind Blades, Sword-...</td>\n",
              "      <td>https://myanimelist.cdn-dena.com/images/anime/...</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>25</td>\n",
              "      <td>0</td>\n",
              "      <td>False</td>\n",
              "      <td>Oct 8, 1997 to Apr 1, 1998</td>\n",
              "      <td>{'from': '1997-10-08', 'to': '1998-04-01'}</td>\n",
              "      <td>25 min. per ep.</td>\n",
              "      <td>8.45</td>\n",
              "      <td>153890</td>\n",
              "      <td>...</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>pollo2019</td>\n",
              "      <td>33</td>\n",
              "      <td>10</td>\n",
              "      <td>2</td>\n",
              "      <td>CANADA</td>\n",
              "      <td>38</td>\n",
              "      <td>Action</td>\n",
              "      <td>Action, Adventure, Demons, Drama, Fantasy, Hor...</td>\n",
              "      <td>86</td>\n",
              "      <td>57684</td>\n",
              "      <td>19</td>\n",
              "      <td>206</td>\n",
              "      <td>55</td>\n",
              "      <td>4</td>\n",
              "      <td>556</td>\n",
              "      <td>55.870139</td>\n",
              "      <td>1982-07-08</td>\n",
              "      <td>2008-05-02 00:00:00</td>\n",
              "      <td>2017-02-27 19:48:00</td>\n",
              "      <td>7.97</td>\n",
              "      <td>10.0</td>\n",
              "      <td>3360</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>Kenpuu Denki Berserk</td>\n",
              "      <td>Berserk</td>\n",
              "      <td>剣風伝奇ベルセルク</td>\n",
              "      <td>Berserk: The Chronicles of Wind Blades, Sword-...</td>\n",
              "      <td>https://myanimelist.cdn-dena.com/images/anime/...</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>25</td>\n",
              "      <td>0</td>\n",
              "      <td>False</td>\n",
              "      <td>Oct 8, 1997 to Apr 1, 1998</td>\n",
              "      <td>{'from': '1997-10-08', 'to': '1998-04-01'}</td>\n",
              "      <td>25 min. per ep.</td>\n",
              "      <td>8.45</td>\n",
              "      <td>153890</td>\n",
              "      <td>...</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Windspirit</td>\n",
              "      <td>33</td>\n",
              "      <td>7</td>\n",
              "      <td>2</td>\n",
              "      <td>CANADA</td>\n",
              "      <td>28</td>\n",
              "      <td>Action</td>\n",
              "      <td>Action, Adventure, Demons, Drama, Fantasy, Hor...</td>\n",
              "      <td>83</td>\n",
              "      <td>24117</td>\n",
              "      <td>9</td>\n",
              "      <td>475</td>\n",
              "      <td>4</td>\n",
              "      <td>82</td>\n",
              "      <td>325</td>\n",
              "      <td>126.038194</td>\n",
              "      <td>1992-08-15</td>\n",
              "      <td>2007-11-29 00:00:00</td>\n",
              "      <td>2014-09-01 16:12:00</td>\n",
              "      <td>5.91</td>\n",
              "      <td>248.0</td>\n",
              "      <td>7349</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>Kenpuu Denki Berserk</td>\n",
              "      <td>Berserk</td>\n",
              "      <td>剣風伝奇ベルセルク</td>\n",
              "      <td>Berserk: The Chronicles of Wind Blades, Sword-...</td>\n",
              "      <td>https://myanimelist.cdn-dena.com/images/anime/...</td>\n",
              "      <td>2</td>\n",
              "      <td>1</td>\n",
              "      <td>25</td>\n",
              "      <td>0</td>\n",
              "      <td>False</td>\n",
              "      <td>Oct 8, 1997 to Apr 1, 1998</td>\n",
              "      <td>{'from': '1997-10-08', 'to': '1998-04-01'}</td>\n",
              "      <td>25 min. per ep.</td>\n",
              "      <td>8.45</td>\n",
              "      <td>153890</td>\n",
              "      <td>...</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>5 rows × 102 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "        username  anime_id  ...  rating_R+ - Mild Nudity  rating_Rx - Hentai\n",
              "0     xETHEREALx        33  ...                        1                   0\n",
              "1  dawningofwar3        33  ...                        1                   0\n",
              "2    ScarletMuse        33  ...                        1                   0\n",
              "3      pollo2019        33  ...                        1                   0\n",
              "4     Windspirit        33  ...                        1                   0\n",
              "\n",
              "[5 rows x 102 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "JLTehdfJt0uX",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "from sklearn.model_selection import train_test_split\n",
        "X_train, _, y_train, y_test = train_test_split(X, y, test_size=0.3, random_state=1)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "uBdXR5GjQnVt",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "#Elya's choice test\n",
        "X_test = pd.DataFrame([final_list_choices],columns=X.columns)\n",
        "#X_test = pd.DataFrame([[28,11,1,0,1,0,1,1,1,0,0,1,0,0,1,1,0,1,0,1,1,1,0,1,0,1,0,0,0,0,1,1,0,0,0,0,0,1,1,0,0,1,1]],columns = X_test.columns)\n",
        "X_test = pd.concat([X_test]*len(y_test),ignore_index=True)\n",
        "#Taking the user choice and creating a variation of genres only with the genres that he or she chosed.\n",
        "import random\n",
        "for i in range(1,40):\n",
        "  if(X_test.iloc[:,-i].sum() > 0):\n",
        "    X_test.iloc[:,-i] = np.random.choice([0,1], size=len(y_test))"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "dcBuljElokD8",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 260
        },
        "outputId": "a7e2ca28-b7e5-4435-ce75-507900fd3861"
      },
      "source": [
        "X_test.head()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
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              "  <thead>\n",
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              "      <th></th>\n",
              "      <th>age</th>\n",
              "      <th>location</th>\n",
              "      <th>gender_Female</th>\n",
              "      <th>gender_Male</th>\n",
              "      <th>Action</th>\n",
              "      <th>Comedy</th>\n",
              "      <th>Harem</th>\n",
              "      <th>Adventure</th>\n",
              "      <th>Fantasy</th>\n",
              "      <th>Slice of Life</th>\n",
              "      <th>Magic</th>\n",
              "      <th>Space</th>\n",
              "      <th>Game</th>\n",
              "      <th>Sports</th>\n",
              "      <th>Ecchi</th>\n",
              "      <th>Sci-Fi</th>\n",
              "      <th>Mystery</th>\n",
              "      <th>Drama</th>\n",
              "      <th>Supernatural</th>\n",
              "      <th>Police</th>\n",
              "      <th>Demons</th>\n",
              "      <th>Horror</th>\n",
              "      <th>Psychological</th>\n",
              "      <th>Military</th>\n",
              "      <th>Hentai</th>\n",
              "      <th>Music</th>\n",
              "      <th>Dementia</th>\n",
              "      <th>Romance</th>\n",
              "      <th>Seinen</th>\n",
              "      <th>Historical</th>\n",
              "      <th>Kids</th>\n",
              "      <th>School</th>\n",
              "      <th>Thriller</th>\n",
              "      <th>Mecha</th>\n",
              "      <th>Josei</th>\n",
              "      <th>Parody</th>\n",
              "      <th>Super Power</th>\n",
              "      <th>Shounen</th>\n",
              "      <th>Samurai</th>\n",
              "      <th>Cars</th>\n",
              "      <th>Shoujo</th>\n",
              "      <th>Yaoi</th>\n",
              "      <th>Martial Arts</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>35</td>\n",
              "      <td>11</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>35</td>\n",
              "      <td>11</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>35</td>\n",
              "      <td>11</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>35</td>\n",
              "      <td>11</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>35</td>\n",
              "      <td>11</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   age  location  gender_Female  gender_Male  ...  Cars  Shoujo  Yaoi  Martial Arts\n",
              "0   35        11              0            1  ...     0       0     0             0\n",
              "1   35        11              0            1  ...     0       0     0             0\n",
              "2   35        11              0            1  ...     0       0     0             0\n",
              "3   35        11              0            1  ...     0       0     0             0\n",
              "4   35        11              0            1  ...     0       0     0             0\n",
              "\n",
              "[5 rows x 43 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 11
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "UJNJoW2WblWB",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "#Random person test\n",
        "#X_test = pd.DataFrame(data = [X_test.iloc[288012,:]],columns=X_test.columns)\n",
        "#X_test = pd.concat([X_test]*len(y_test),ignore_index=True)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "0vDIAoCUnZD1",
        "colab_type": "text"
      },
      "source": [
        "So it seems like we should hug trees, the best model is \"ExtraTree classifier\" by F1 score and... minimal runtime...<br> It takes 12 minutes to compute 615 labels (anime shows) and for Randomforest it takes around 5 hours to get almost the same results.<br> I also condidered KNN which is a fantastic option, but then again, the runtime will take aeons.<br> It is claer that we have a winner and we are gonna use the ExtraTree for predicitng the cold start problem of Anime recommendations.<br>\n",
        "![alt text](https://img3.goodfon.com/wallpaper/nbig/c/b7/art-anbe-yoshirou-hatsune-4845.jpg)"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "uENIv92ItB--",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "et_clf = ExtraTreeClassifier(criterion = 'entropy', random_state=0, class_weight = 'balanced')\n",
        "clf = MultiOutputClassifier(et_clf)\n",
        "clf.fit(X_train, y_train)\n",
        "y_pred = clf.predict(X_test)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "qRqAZdHlhzpf",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "c2a4f211-a49f-45de-980d-dba24b4549fb"
      },
      "source": [
        "#Visualize the Feature Importance\n",
        "feat_impts = []\n",
        "for i in range(len(y_test.columns)):\n",
        "  feat_impts.append([clf.estimators_][0][i].feature_importances_)\n",
        "feat_impts = pd.DataFrame(list(zip(X_test.columns,np.mean(feat_impts, axis=0)))).rename(columns={0:\"Feature\",1:'Importance'})\n",
        "feat_impts = feat_impts.sort_values(by='Importance',ascending=False)\n",
        "sns.barplot(x=feat_impts['Importance'], y=feat_impts['Feature'])\n",
        "plt.xlabel('Feature Importance Score')\n",
        "plt.ylabel('Features')\n",
        "plt.title(\"Visualizing Important Features\")\n",
        "plt.show()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1080x1800 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "mS1zSh-0ujJY",
        "colab_type": "text"
      },
      "source": [
        "The Jaccard index, or Jaccard similarity coefficient, defined as the size of the intersection divided by the size of the union of two label sets, is used to compare set of predicted labels for a sample to the corresponding set of labels in the true y."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "SMXjHQss44Df",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "c4998f26-f272-4a4c-82b0-01b13fb7f1a5"
      },
      "source": [
        "#Using Jaccard index, we can estimate each label Relevance probability (A intersect B / A union B)\n",
        "print(jaccard_score(y_test, y_pred, average=None))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "[0.         0.         0.         0.         0.         0.\n",
            " 0.         0.         0.         0.00105152 0.         0.\n",
            " 0.         0.         0.         0.         0.         0.\n",
            " 0.         0.         0.         0.         0.00142146 0.\n",
            " 0.         0.         0.         0.         0.         0.\n",
            " 0.         0.         0.         0.         0.         0.\n",
            " 0.         0.         0.         0.         0.         0.\n",
            " 0.         0.         0.         0.         0.         0.\n",
            " 0.         0.         0.         0.         0.         0.\n",
            " 0.         0.         0.         0.         0.         0.\n",
            " 0.         0.         0.         0.         0.         0.\n",
            " 0.         0.         0.         0.         0.         0.\n",
            " 0.         0.         0.         0.         0.         0.\n",
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            " 0.         0.         0.        ]\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "1eOwW085wU57",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "df_model = list(zip(y_test.columns,jaccard_score(y_test, y_pred, average=None)))\n",
        "df_model = pd.DataFrame(df_model)\n",
        "df_model = pd.DataFrame(df_model).rename(columns={0:\"anime_id\",1:\"Probability\"})     "
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "cAgJZub_5Lki",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "local = df_anime_final['anime_id'][df_anime_final['anime_id'].isin(df_model['anime_id'])]\n",
        "df_local = df_anime_final[df_anime_final['anime_id'].isin(local)]\n",
        "df_model = pd.merge(df_model, df_local[['username','anime_id','my_score']], left_on = 'anime_id', right_on = 'anime_id', how = 'inner')\n",
        "df_model['adjustesd_score'] = df_model.Probability * df_model.my_score\n",
        "df_model.drop_duplicates(keep=\"first\", inplace=False)\n",
        "df_model_frac = df_model[df_model['Probability'] > 0]"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "KHOD92B9eGkr",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "outputId": "53ab68df-979d-43f5-f35e-23f8ce39fd9b"
      },
      "source": [
        "df_model_frac.head()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "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>anime_id</th>\n",
              "      <th>Probability</th>\n",
              "      <th>username</th>\n",
              "      <th>my_score</th>\n",
              "      <th>adjustesd_score</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>20590</th>\n",
              "      <td>27</td>\n",
              "      <td>0.001052</td>\n",
              "      <td>DarkMaga</td>\n",
              "      <td>7</td>\n",
              "      <td>0.007361</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>20591</th>\n",
              "      <td>27</td>\n",
              "      <td>0.001052</td>\n",
              "      <td>Tiisai_Kay</td>\n",
              "      <td>5</td>\n",
              "      <td>0.005258</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>20592</th>\n",
              "      <td>27</td>\n",
              "      <td>0.001052</td>\n",
              "      <td>INDYKU</td>\n",
              "      <td>6</td>\n",
              "      <td>0.006309</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>20593</th>\n",
              "      <td>27</td>\n",
              "      <td>0.001052</td>\n",
              "      <td>elsewherecw</td>\n",
              "      <td>7</td>\n",
              "      <td>0.007361</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>20594</th>\n",
              "      <td>27</td>\n",
              "      <td>0.001052</td>\n",
              "      <td>ManiTaku94</td>\n",
              "      <td>0</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "       anime_id  Probability     username  my_score  adjustesd_score\n",
              "20590        27     0.001052     DarkMaga         7         0.007361\n",
              "20591        27     0.001052   Tiisai_Kay         5         0.005258\n",
              "20592        27     0.001052       INDYKU         6         0.006309\n",
              "20593        27     0.001052  elsewherecw         7         0.007361\n",
              "20594        27     0.001052   ManiTaku94         0         0.000000"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 18
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "eGEWb9mWsbtu",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 314
        },
        "outputId": "fdbda60b-9421-437a-aae8-4b7fa39412ec"
      },
      "source": [
        "! pip install surprise\n",
        "import surprise\n",
        "import surprise as sp\n",
        "from surprise import Reader\n",
        "from surprise import Dataset\n",
        "from surprise.model_selection import cross_validate\n",
        "from surprise import NormalPredictor\n",
        "from surprise import KNNBasic\n",
        "from surprise import KNNWithMeans\n",
        "from surprise import KNNWithZScore\n",
        "from surprise import KNNBaseline\n",
        "from surprise import SVD\n",
        "from surprise import BaselineOnly\n",
        "from surprise import SVDpp\n",
        "from surprise import NMF\n",
        "from surprise import SlopeOne\n",
        "from surprise import CoClustering\n",
        "from surprise.accuracy import rmse\n",
        "from surprise import accuracy\n",
        "from surprise.model_selection import train_test_split"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Collecting surprise\n",
            "  Downloading https://files.pythonhosted.org/packages/61/de/e5cba8682201fcf9c3719a6fdda95693468ed061945493dea2dd37c5618b/surprise-0.1-py2.py3-none-any.whl\n",
            "Collecting scikit-surprise\n",
            "\u001b[?25l  Downloading https://files.pythonhosted.org/packages/97/37/5d334adaf5ddd65da99fc65f6507e0e4599d092ba048f4302fe8775619e8/scikit-surprise-1.1.1.tar.gz (11.8MB)\n",
            "\u001b[K     |████████████████████████████████| 11.8MB 8.7MB/s \n",
            "\u001b[?25hRequirement already satisfied: joblib>=0.11 in /usr/local/lib/python3.6/dist-packages (from scikit-surprise->surprise) (0.16.0)\n",
            "Requirement already satisfied: numpy>=1.11.2 in /usr/local/lib/python3.6/dist-packages (from scikit-surprise->surprise) (1.18.5)\n",
            "Requirement already satisfied: scipy>=1.0.0 in /usr/local/lib/python3.6/dist-packages (from scikit-surprise->surprise) (1.4.1)\n",
            "Requirement already satisfied: six>=1.10.0 in /usr/local/lib/python3.6/dist-packages (from scikit-surprise->surprise) (1.15.0)\n",
            "Building wheels for collected packages: scikit-surprise\n",
            "  Building wheel for scikit-surprise (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for scikit-surprise: filename=scikit_surprise-1.1.1-cp36-cp36m-linux_x86_64.whl size=1670919 sha256=dfe626037c7276581e257600876c9fc627e6238a08d72bb12ab746a118c63df8\n",
            "  Stored in directory: /root/.cache/pip/wheels/78/9c/3d/41b419c9d2aff5b6e2b4c0fc8d25c538202834058f9ed110d0\n",
            "Successfully built scikit-surprise\n",
            "Installing collected packages: scikit-surprise, surprise\n",
            "Successfully installed scikit-surprise-1.1.1 surprise-0.1\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "k4nqEMOYYnzw",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 363
        },
        "outputId": "8593ee8a-80b5-451f-bebf-c247153cb651"
      },
      "source": [
        "kSplit = surprise.model_selection.split.KFold(n_splits=5, shuffle=True) # split data into folds. \n",
        "reader = Reader(rating_scale=(0, 10))\n",
        "sim_options = {'name': 'cosine','user_based': False}  # compute  similarities between items\n",
        "data = Dataset.load_from_df(df_model_frac[['username', 'anime_id', 'adjustesd_score']][df_model_frac['adjustesd_score']>0].sample(frac=0.01), reader)\n",
        "analysis_df = []\n",
        "algo = 0\n",
        "# Iterate over all algorithms\n",
        "for algorithm in [SVD(), SVDpp(), SlopeOne(), NMF(), NormalPredictor(), KNNBaseline(), KNNBasic(), KNNWithMeans(), KNNWithZScore(), BaselineOnly(), CoClustering()]:\n",
        "    # Perform cross validation\n",
        "    results = cross_validate(algorithm, data, measures=['RMSE'], cv=2, verbose=False)\n",
        "    temp_algo = pd.DataFrame.from_dict(results).mean(axis=0)\n",
        "    if(algo > temp_algo[0]):\n",
        "      algo = temp_algo[0]\n",
        "      model = algorithm\n",
        "    else:\n",
        "      model = SVD()\n",
        "    # Get results & append algorithm name\n",
        "    tmp = pd.DataFrame.from_dict(results).mean(axis=0)\n",
        "    tmp = tmp.append(pd.Series([str(algorithm).split(' ')[0].split('.')[-1]], index=['Algorithm']))\n",
        "    analysis_df.append(tmp)\n"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Estimating biases using als...\n",
            "Computing the msd similarity matrix...\n",
            "Done computing similarity matrix.\n",
            "Estimating biases using als...\n",
            "Computing the msd similarity matrix...\n",
            "Done computing similarity matrix.\n",
            "Computing the msd similarity matrix...\n",
            "Done computing similarity matrix.\n",
            "Computing the msd similarity matrix...\n",
            "Done computing similarity matrix.\n",
            "Computing the msd similarity matrix...\n",
            "Done computing similarity matrix.\n",
            "Computing the msd similarity matrix...\n",
            "Done computing similarity matrix.\n",
            "Computing the msd similarity matrix...\n",
            "Done computing similarity matrix.\n",
            "Computing the msd similarity matrix...\n",
            "Done computing similarity matrix.\n",
            "Estimating biases using als...\n",
            "Estimating biases using als...\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "xO7j5vqvS03t",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 394
        },
        "outputId": "fcd26a4d-637c-43a5-b50b-e6f885f6ba28"
      },
      "source": [
        "analysis_df = pd.DataFrame(analysis_df).sort_values(by='test_rmse').reset_index(drop=True)\n",
        "analysis_df['RMSE^-1'] = analysis_df['test_rmse'] ** -1\n",
        "analysis_df"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
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              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
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              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>test_rmse</th>\n",
              "      <th>fit_time</th>\n",
              "      <th>test_time</th>\n",
              "      <th>Algorithm</th>\n",
              "      <th>RMSE^-1</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>0.003702</td>\n",
              "      <td>0.001494</td>\n",
              "      <td>0.000493</td>\n",
              "      <td>KNNBaseline</td>\n",
              "      <td>270.146029</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>0.004003</td>\n",
              "      <td>0.000360</td>\n",
              "      <td>0.000417</td>\n",
              "      <td>BaselineOnly</td>\n",
              "      <td>249.790939</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>0.005305</td>\n",
              "      <td>0.001643</td>\n",
              "      <td>0.000487</td>\n",
              "      <td>KNNWithMeans</td>\n",
              "      <td>188.510662</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>0.005308</td>\n",
              "      <td>0.000908</td>\n",
              "      <td>0.000513</td>\n",
              "      <td>SlopeOne</td>\n",
              "      <td>188.392749</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>0.005310</td>\n",
              "      <td>0.000620</td>\n",
              "      <td>0.000603</td>\n",
              "      <td>KNNBasic</td>\n",
              "      <td>188.328993</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>0.005353</td>\n",
              "      <td>0.010837</td>\n",
              "      <td>0.000624</td>\n",
              "      <td>NMF</td>\n",
              "      <td>186.796085</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>0.005366</td>\n",
              "      <td>0.011495</td>\n",
              "      <td>0.000524</td>\n",
              "      <td>CoClustering</td>\n",
              "      <td>186.351870</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>0.005443</td>\n",
              "      <td>0.003790</td>\n",
              "      <td>0.000610</td>\n",
              "      <td>KNNWithZScore</td>\n",
              "      <td>183.720036</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>0.007574</td>\n",
              "      <td>0.000165</td>\n",
              "      <td>0.000642</td>\n",
              "      <td>NormalPredictor</td>\n",
              "      <td>132.025995</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>0.010203</td>\n",
              "      <td>0.005587</td>\n",
              "      <td>0.000494</td>\n",
              "      <td>SVD</td>\n",
              "      <td>98.015050</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>0.018028</td>\n",
              "      <td>0.008484</td>\n",
              "      <td>0.000517</td>\n",
              "      <td>SVDpp</td>\n",
              "      <td>55.468588</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "    test_rmse  fit_time  test_time        Algorithm     RMSE^-1\n",
              "0    0.003702  0.001494   0.000493      KNNBaseline  270.146029\n",
              "1    0.004003  0.000360   0.000417     BaselineOnly  249.790939\n",
              "2    0.005305  0.001643   0.000487     KNNWithMeans  188.510662\n",
              "3    0.005308  0.000908   0.000513         SlopeOne  188.392749\n",
              "4    0.005310  0.000620   0.000603         KNNBasic  188.328993\n",
              "5    0.005353  0.010837   0.000624              NMF  186.796085\n",
              "6    0.005366  0.011495   0.000524     CoClustering  186.351870\n",
              "7    0.005443  0.003790   0.000610    KNNWithZScore  183.720036\n",
              "8    0.007574  0.000165   0.000642  NormalPredictor  132.025995\n",
              "9    0.010203  0.005587   0.000494              SVD   98.015050\n",
              "10   0.018028  0.008484   0.000517            SVDpp   55.468588"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 21
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "jO12Kd92RGKV",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "#path = \"/content/drive/My Drive/Colab Notebooks/datasets_anime/surprise_results.csv\"\n",
        "#surprise_results = pd.read_csv(path)\n",
        "#surprise_results"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "CauvJ2KSSdfH",
        "colab_type": "text"
      },
      "source": [
        "The algorithm varies dependeing on the dataset"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "LYjRKS7Cb4wS",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 51
        },
        "outputId": "a675a348-b0d0-431e-e186-3a0d959fe29b"
      },
      "source": [
        "reader = Reader(rating_scale=(0, 10))\n",
        "data = Dataset.load_from_df(df_model[['username', 'anime_id', 'adjustesd_score']], reader)\n",
        "trainset, testset = train_test_split(data, test_size=0.3)\n",
        "algo = model\n",
        "predictions = algo.fit(trainset).test(testset)\n",
        "accuracy.rmse(predictions)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "RMSE: 0.0048\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0.004849195290972692"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 23
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "G8ZQPKKfDOCz",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "def get_Iu(uid):\n",
        "    \"\"\" return the number of items rated by given user\n",
        "    args: \n",
        "      uid: the id of the user\n",
        "    returns: \n",
        "      the number of items rated by the user\n",
        "    \"\"\"\n",
        "    try:\n",
        "        return len(trainset.ur[trainset.to_inner_uid(uid)])\n",
        "    except ValueError: # user was not part of the trainset\n",
        "        return 0\n",
        "    \n",
        "def get_Ui(iid):\n",
        "    \"\"\" return number of users that have rated given item\n",
        "    args:\n",
        "      iid: the raw id of the item\n",
        "    returns:\n",
        "      the number of users that have rated the item.\n",
        "    \"\"\"\n",
        "    try: \n",
        "        return len(trainset.ir[trainset.to_inner_iid(iid)])\n",
        "    except ValueError:\n",
        "        return 0\n",
        "    \n",
        "df = pd.DataFrame(predictions, columns=['uid', 'iid', 'rui', 'est', 'details'])\n",
        "df['Iu'] = df.uid.apply(get_Iu)\n",
        "df['Ui'] = df.iid.apply(get_Ui)\n",
        "df['err'] = abs(df.est - df.rui)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "LZC3naraSlWo",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "df_user_best = df.sort_values(by='err')\n",
        "df_user_worst = df.sort_values(by='err')"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "wun2ClYZyAga",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "df_user_best = pd.merge(df_user_best, df_anime_final.drop_duplicates(['title']), left_on = 'iid', right_on = 'anime_id', how = 'left')\n",
        "df_user_worst = pd.merge(df_user_worst, df_anime_final.drop_duplicates(['title']), left_on = 'iid', right_on = 'anime_id', how = 'left')"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "37hf0UfJAdDx",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "df_model = df_model[['anime_id','adjustesd_score']].groupby('anime_id').mean()"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "NpFQ3TIgAdzF",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "df_user_best = pd.merge(df_user_best, df_model, left_on = 'anime_id', right_on = 'anime_id', how = 'inner').drop_duplicates(['title'])\n",
        "df_user_worst = pd.merge(df_user_worst, df_model, left_on = 'anime_id', right_on = 'anime_id', how = 'inner').drop_duplicates(['title'])"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "-VniWs_jwcUl",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "df_user_best = df_user_best.rename(columns={\"genre_x\":\"Genre\",'err':'residual_err'})\n",
        "df_user_worst = df_user_worst.rename(columns={\"genre_x\":\"Genre\",'err':'residual_err'})"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "UuQ4DuPrxCwH",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "df_user_best = df_user_best[['residual_err','adjustesd_score','anime_id','genre_1','score','popularity', 'title', 'Genre','image_url']]\n",
        "df_user_worst = df_user_worst[['residual_err','adjustesd_score','anime_id','genre_1','score','popularity', 'title', 'Genre','image_url']]"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "AoI5c44pAlYA",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "df_user_best = df_user_best.sort_values('adjustesd_score', ascending = False)[:30].reset_index(drop=True)\n",
        "df_user_worst = df_user_worst.sort_values(by='adjustesd_score', ascending = False)[-30:].reset_index(drop=True)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "7hi4GV7-43CV",
        "colab_type": "text"
      },
      "source": [
        "FINALLY! THE RESULTS ARE IN!<br>\n",
        "![](https://vip.socio-corp.jp/wp-content/uploads/sites/3/2014/10/ap-3.png?w=580) "
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "xouxRfOZJVby",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "87b1a2b3-8665-4232-d216-2fa8194d73bc"
      },
      "source": [
        "#Top rated for this user\n",
        "df_user_best[df_user_best['adjustesd_score']>0]"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "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>residual_err</th>\n",
              "      <th>adjustesd_score</th>\n",
              "      <th>anime_id</th>\n",
              "      <th>genre_1</th>\n",
              "      <th>score</th>\n",
              "      <th>popularity</th>\n",
              "      <th>title</th>\n",
              "      <th>Genre</th>\n",
              "      <th>image_url</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>0.000106</td>\n",
              "      <td>0.016685</td>\n",
              "      <td>15809</td>\n",
              "      <td>Comedy</td>\n",
              "      <td>7.98</td>\n",
              "      <td>51</td>\n",
              "      <td>Hataraku Maou-sama!</td>\n",
              "      <td>Comedy, Demons, Supernatural, Romance, Fantasy</td>\n",
              "      <td>https://myanimelist.cdn-dena.com/images/anime/...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.010708</td>\n",
              "      <td>14467</td>\n",
              "      <td>Action</td>\n",
              "      <td>7.68</td>\n",
              "      <td>121</td>\n",
              "      <td>K</td>\n",
              "      <td>Action, Super Power, Supernatural</td>\n",
              "      <td>https://myanimelist.cdn-dena.com/images/anime/...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.010055</td>\n",
              "      <td>30831</td>\n",
              "      <td>Adventure</td>\n",
              "      <td>8.16</td>\n",
              "      <td>58</td>\n",
              "      <td>Kono Subarashii Sekai ni Shukufuku wo!</td>\n",
              "      <td>Adventure, Comedy, Parody, Supernatural, Magic...</td>\n",
              "      <td>https://myanimelist.cdn-dena.com/images/anime/...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.009257</td>\n",
              "      <td>1686</td>\n",
              "      <td>Action</td>\n",
              "      <td>7.55</td>\n",
              "      <td>455</td>\n",
              "      <td>Bleach Movie 1: Memories of Nobody</td>\n",
              "      <td>Action, Adventure, Super Power</td>\n",
              "      <td>https://myanimelist.cdn-dena.com/images/anime/...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.008425</td>\n",
              "      <td>2418</td>\n",
              "      <td>Action</td>\n",
              "      <td>8.40</td>\n",
              "      <td>463</td>\n",
              "      <td>Stranger: Mukou Hadan</td>\n",
              "      <td>Action, Adventure, Historical, Samurai</td>\n",
              "      <td>https://myanimelist.cdn-dena.com/images/anime/...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.007746</td>\n",
              "      <td>572</td>\n",
              "      <td>Adventure</td>\n",
              "      <td>8.47</td>\n",
              "      <td>407</td>\n",
              "      <td>Kaze no Tani no Nausicaä</td>\n",
              "      <td>Adventure, Fantasy</td>\n",
              "      <td>https://myanimelist.cdn-dena.com/images/anime/...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.006458</td>\n",
              "      <td>60</td>\n",
              "      <td>Action</td>\n",
              "      <td>7.76</td>\n",
              "      <td>485</td>\n",
              "      <td>Chrno Crusade</td>\n",
              "      <td>Action, Historical, Demons, Supernatural, Romance</td>\n",
              "      <td>https://myanimelist.cdn-dena.com/images/anime/...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.006081</td>\n",
              "      <td>18229</td>\n",
              "      <td>Sci-Fi</td>\n",
              "      <td>7.42</td>\n",
              "      <td>631</td>\n",
              "      <td>Gatchaman Crowds</td>\n",
              "      <td>Sci-Fi, Adventure</td>\n",
              "      <td>https://myanimelist.cdn-dena.com/images/anime/...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.005778</td>\n",
              "      <td>513</td>\n",
              "      <td>Adventure</td>\n",
              "      <td>8.38</td>\n",
              "      <td>364</td>\n",
              "      <td>Tenkuu no Shiro Laputa</td>\n",
              "      <td>Adventure, Fantasy, Romance, Sci-Fi</td>\n",
              "      <td>https://myanimelist.cdn-dena.com/images/anime/...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.005651</td>\n",
              "      <td>11785</td>\n",
              "      <td>Sci-Fi</td>\n",
              "      <td>7.20</td>\n",
              "      <td>363</td>\n",
              "      <td>Haiyore! Nyaruko-san</td>\n",
              "      <td>Sci-Fi, Comedy, Parody</td>\n",
              "      <td>https://myanimelist.cdn-dena.com/images/anime/...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.004154</td>\n",
              "      <td>27</td>\n",
              "      <td>Action</td>\n",
              "      <td>7.41</td>\n",
              "      <td>638</td>\n",
              "      <td>Trinity Blood</td>\n",
              "      <td>Action, Supernatural, Vampire</td>\n",
              "      <td>https://myanimelist.cdn-dena.com/images/anime/...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.004115</td>\n",
              "      <td>16049</td>\n",
              "      <td>Action</td>\n",
              "      <td>8.12</td>\n",
              "      <td>442</td>\n",
              "      <td>Toaru Kagaku no Railgun S</td>\n",
              "      <td>Action, Sci-Fi, Super Power</td>\n",
              "      <td>https://myanimelist.cdn-dena.com/images/anime/...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.004101</td>\n",
              "      <td>1827</td>\n",
              "      <td>Action</td>\n",
              "      <td>8.21</td>\n",
              "      <td>630</td>\n",
              "      <td>Seirei no Moribito</td>\n",
              "      <td>Action, Adventure, Historical, Fantasy</td>\n",
              "      <td>https://myanimelist.cdn-dena.com/images/anime/...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.003879</td>\n",
              "      <td>7711</td>\n",
              "      <td>Fantasy</td>\n",
              "      <td>8.06</td>\n",
              "      <td>613</td>\n",
              "      <td>Karigurashi no Arrietty</td>\n",
              "      <td>Fantasy</td>\n",
              "      <td>https://myanimelist.cdn-dena.com/images/anime/...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.003839</td>\n",
              "      <td>1699</td>\n",
              "      <td>Drama</td>\n",
              "      <td>7.80</td>\n",
              "      <td>740</td>\n",
              "      <td>Romeo x Juliet</td>\n",
              "      <td>Drama, Fantasy, Historical, Romance</td>\n",
              "      <td>https://myanimelist.cdn-dena.com/images/anime/...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15</th>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.003700</td>\n",
              "      <td>5355</td>\n",
              "      <td>Action</td>\n",
              "      <td>7.51</td>\n",
              "      <td>764</td>\n",
              "      <td>Sengoku Basara</td>\n",
              "      <td>Action, Historical, Martial Arts, Samurai, Sup...</td>\n",
              "      <td>https://myanimelist.cdn-dena.com/images/anime/...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16</th>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.003134</td>\n",
              "      <td>2596</td>\n",
              "      <td>Mystery</td>\n",
              "      <td>7.54</td>\n",
              "      <td>910</td>\n",
              "      <td>Shinreigari: Ghost Hound</td>\n",
              "      <td>Mystery, Psychological, Sci-Fi, Supernatural</td>\n",
              "      <td>https://myanimelist.cdn-dena.com/images/anime/...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>17</th>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.001781</td>\n",
              "      <td>34561</td>\n",
              "      <td>Action</td>\n",
              "      <td>7.69</td>\n",
              "      <td>347</td>\n",
              "      <td>Re:Creators</td>\n",
              "      <td>Action, Sci-Fi, Fantasy</td>\n",
              "      <td>https://myanimelist.cdn-dena.com/images/anime/...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "    residual_err  ...                                          image_url\n",
              "0       0.000106  ...  https://myanimelist.cdn-dena.com/images/anime/...\n",
              "1       0.000000  ...  https://myanimelist.cdn-dena.com/images/anime/...\n",
              "2       0.000000  ...  https://myanimelist.cdn-dena.com/images/anime/...\n",
              "3       0.000000  ...  https://myanimelist.cdn-dena.com/images/anime/...\n",
              "4       0.000000  ...  https://myanimelist.cdn-dena.com/images/anime/...\n",
              "5       0.000000  ...  https://myanimelist.cdn-dena.com/images/anime/...\n",
              "6       0.000000  ...  https://myanimelist.cdn-dena.com/images/anime/...\n",
              "7       0.000000  ...  https://myanimelist.cdn-dena.com/images/anime/...\n",
              "8       0.000000  ...  https://myanimelist.cdn-dena.com/images/anime/...\n",
              "9       0.000000  ...  https://myanimelist.cdn-dena.com/images/anime/...\n",
              "10      0.000000  ...  https://myanimelist.cdn-dena.com/images/anime/...\n",
              "11      0.000000  ...  https://myanimelist.cdn-dena.com/images/anime/...\n",
              "12      0.000000  ...  https://myanimelist.cdn-dena.com/images/anime/...\n",
              "13      0.000000  ...  https://myanimelist.cdn-dena.com/images/anime/...\n",
              "14      0.000000  ...  https://myanimelist.cdn-dena.com/images/anime/...\n",
              "15      0.000000  ...  https://myanimelist.cdn-dena.com/images/anime/...\n",
              "16      0.000000  ...  https://myanimelist.cdn-dena.com/images/anime/...\n",
              "17      0.000000  ...  https://myanimelist.cdn-dena.com/images/anime/...\n",
              "\n",
              "[18 rows x 9 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 32
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "_F644_JyJtiz",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "eb67b5b3-e8a4-4260-d688-8f9e1c0ca6aa"
      },
      "source": [
        "#Bottom rated for this user\n",
        "df_user_worst"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "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>residual_err</th>\n",
              "      <th>adjustesd_score</th>\n",
              "      <th>anime_id</th>\n",
              "      <th>genre_1</th>\n",
              "      <th>score</th>\n",
              "      <th>popularity</th>\n",
              "      <th>title</th>\n",
              "      <th>Genre</th>\n",
              "      <th>image_url</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>121</td>\n",
              "      <td>Action</td>\n",
              "      <td>8.29</td>\n",
              "      <td>21</td>\n",
              "      <td>Fullmetal Alchemist</td>\n",
              "      <td>Action, Adventure, Comedy, Drama, Fantasy, Mag...</td>\n",
              "      <td>https://myanimelist.cdn-dena.com/images/anime/...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>8861</td>\n",
              "      <td>Drama</td>\n",
              "      <td>6.58</td>\n",
              "      <td>297</td>\n",
              "      <td>Yosuga no Sora: In Solitude, Where We Are Leas...</td>\n",
              "      <td>Drama, Ecchi, Harem, Romance</td>\n",
              "      <td>https://myanimelist.cdn-dena.com/images/anime/...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>174</td>\n",
              "      <td>Action</td>\n",
              "      <td>7.05</td>\n",
              "      <td>678</td>\n",
              "      <td>Tenjou Tenge</td>\n",
              "      <td>Action, Ecchi, Martial Arts, Comedy, Super Pow...</td>\n",
              "      <td>https://myanimelist.cdn-dena.com/images/anime/...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>18247</td>\n",
              "      <td>Action</td>\n",
              "      <td>6.79</td>\n",
              "      <td>375</td>\n",
              "      <td>IS: Infinite Stratos 2</td>\n",
              "      <td>Action, Sci-Fi, Harem, Comedy, Ecchi, Mecha</td>\n",
              "      <td>https://myanimelist.cdn-dena.com/images/anime/...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>9379</td>\n",
              "      <td>Sci-Fi</td>\n",
              "      <td>7.27</td>\n",
              "      <td>406</td>\n",
              "      <td>Denpa Onna to Seishun Otoko</td>\n",
              "      <td>Sci-Fi, Slice of Life, Comedy</td>\n",
              "      <td>https://myanimelist.cdn-dena.com/images/anime/...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>10588</td>\n",
              "      <td>Sci-Fi</td>\n",
              "      <td>7.63</td>\n",
              "      <td>479</td>\n",
              "      <td>Persona 4 the Animation</td>\n",
              "      <td>Sci-Fi, Adventure, Mystery, Super Power, Super...</td>\n",
              "      <td>https://myanimelist.cdn-dena.com/images/anime/...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>48</td>\n",
              "      <td>Game</td>\n",
              "      <td>7.09</td>\n",
              "      <td>650</td>\n",
              "      <td>.hack//Sign</td>\n",
              "      <td>Game, Sci-Fi, Adventure, Mystery, Magic, Fantasy</td>\n",
              "      <td>https://myanimelist.cdn-dena.com/images/anime/...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>20</td>\n",
              "      <td>Action</td>\n",
              "      <td>7.88</td>\n",
              "      <td>10</td>\n",
              "      <td>Naruto</td>\n",
              "      <td>Action, Adventure, Comedy, Super Power, Martia...</td>\n",
              "      <td>https://myanimelist.cdn-dena.com/images/anime/...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>21603</td>\n",
              "      <td>Sci-Fi</td>\n",
              "      <td>7.19</td>\n",
              "      <td>256</td>\n",
              "      <td>Mekakucity Actors</td>\n",
              "      <td>Sci-Fi, Comedy, Super Power, Supernatural, Rom...</td>\n",
              "      <td>https://myanimelist.cdn-dena.com/images/anime/...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>2236</td>\n",
              "      <td>Sci-Fi</td>\n",
              "      <td>8.35</td>\n",
              "      <td>113</td>\n",
              "      <td>Toki wo Kakeru Shoujo</td>\n",
              "      <td>Sci-Fi, Adventure, Drama, Romance</td>\n",
              "      <td>https://myanimelist.cdn-dena.com/images/anime/...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>32542</td>\n",
              "      <td>Slice of Life</td>\n",
              "      <td>7.68</td>\n",
              "      <td>218</td>\n",
              "      <td>Sakamoto desu ga?</td>\n",
              "      <td>Slice of Life, Comedy, School, Seinen</td>\n",
              "      <td>https://myanimelist.cdn-dena.com/images/anime/...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>10863</td>\n",
              "      <td>Sci-Fi</td>\n",
              "      <td>8.44</td>\n",
              "      <td>328</td>\n",
              "      <td>Steins;Gate: Oukoubakko no Poriomania</td>\n",
              "      <td>Sci-Fi, Comedy, Thriller</td>\n",
              "      <td>https://myanimelist.cdn-dena.com/images/anime/...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>6956</td>\n",
              "      <td>Slice of Life</td>\n",
              "      <td>7.79</td>\n",
              "      <td>275</td>\n",
              "      <td>Working!!</td>\n",
              "      <td>Slice of Life, Comedy, Romance</td>\n",
              "      <td>https://myanimelist.cdn-dena.com/images/anime/...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>6512</td>\n",
              "      <td>Harem</td>\n",
              "      <td>7.32</td>\n",
              "      <td>462</td>\n",
              "      <td>Nyan Koi!</td>\n",
              "      <td>Harem, Comedy, Romance</td>\n",
              "      <td>https://myanimelist.cdn-dena.com/images/anime/...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>4063</td>\n",
              "      <td>Action</td>\n",
              "      <td>7.32</td>\n",
              "      <td>291</td>\n",
              "      <td>Sekirei</td>\n",
              "      <td>Action, Comedy, Ecchi, Harem, Super Power</td>\n",
              "      <td>https://myanimelist.cdn-dena.com/images/anime/...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15</th>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>355</td>\n",
              "      <td>Action</td>\n",
              "      <td>7.66</td>\n",
              "      <td>144</td>\n",
              "      <td>Shakugan no Shana</td>\n",
              "      <td>Action, Drama, Fantasy, Romance, School, Super...</td>\n",
              "      <td>https://myanimelist.cdn-dena.com/images/anime/...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16</th>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>25777</td>\n",
              "      <td>Action</td>\n",
              "      <td>8.47</td>\n",
              "      <td>46</td>\n",
              "      <td>Shingeki no Kyojin Season 2</td>\n",
              "      <td>Action, Military, Mystery, Super Power, Drama,...</td>\n",
              "      <td>https://myanimelist.cdn-dena.com/images/anime/...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>17</th>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>8841</td>\n",
              "      <td>Action</td>\n",
              "      <td>7.59</td>\n",
              "      <td>129</td>\n",
              "      <td>Kore wa Zombie Desu ka?</td>\n",
              "      <td>Action, Comedy, Ecchi, Harem, Magic, Supernatural</td>\n",
              "      <td>https://myanimelist.cdn-dena.com/images/anime/...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>18</th>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>6682</td>\n",
              "      <td>Action</td>\n",
              "      <td>6.39</td>\n",
              "      <td>487</td>\n",
              "      <td>11eyes</td>\n",
              "      <td>Action, Ecchi, Super Power, Supernatural</td>\n",
              "      <td>https://myanimelist.cdn-dena.com/images/anime/...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>19</th>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>2966</td>\n",
              "      <td>Adventure</td>\n",
              "      <td>8.34</td>\n",
              "      <td>100</td>\n",
              "      <td>Ookami to Koushinryou</td>\n",
              "      <td>Adventure, Fantasy, Historical, Romance</td>\n",
              "      <td>https://myanimelist.cdn-dena.com/images/anime/...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>20</th>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>270</td>\n",
              "      <td>Action</td>\n",
              "      <td>7.60</td>\n",
              "      <td>125</td>\n",
              "      <td>Hellsing</td>\n",
              "      <td>Action, Horror, Supernatural, Vampire, Seinen</td>\n",
              "      <td>https://myanimelist.cdn-dena.com/images/anime/...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>21</th>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>13599</td>\n",
              "      <td>Sci-Fi</td>\n",
              "      <td>7.40</td>\n",
              "      <td>645</td>\n",
              "      <td>Robotics;Notes</td>\n",
              "      <td>Sci-Fi, Mystery, Drama, Mecha, School</td>\n",
              "      <td>https://myanimelist.cdn-dena.com/images/anime/...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>22</th>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>2001</td>\n",
              "      <td>Action</td>\n",
              "      <td>8.74</td>\n",
              "      <td>24</td>\n",
              "      <td>Tengen Toppa Gurren Lagann</td>\n",
              "      <td>Action, Adventure, Comedy, Mecha, Sci-Fi</td>\n",
              "      <td>https://myanimelist.cdn-dena.com/images/anime/...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23</th>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1519</td>\n",
              "      <td>Action</td>\n",
              "      <td>8.27</td>\n",
              "      <td>264</td>\n",
              "      <td>Black Lagoon: The Second Barrage</td>\n",
              "      <td>Action, Seinen</td>\n",
              "      <td>https://myanimelist.cdn-dena.com/images/anime/...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>24</th>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>11061</td>\n",
              "      <td>Action</td>\n",
              "      <td>9.11</td>\n",
              "      <td>35</td>\n",
              "      <td>Hunter x Hunter (2011)</td>\n",
              "      <td>Action, Adventure, Super Power, Shounen</td>\n",
              "      <td>https://myanimelist.cdn-dena.com/images/anime/...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25</th>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>20785</td>\n",
              "      <td>Action</td>\n",
              "      <td>7.74</td>\n",
              "      <td>102</td>\n",
              "      <td>Mahouka Koukou no Rettousei</td>\n",
              "      <td>Action, Sci-Fi, Supernatural, Magic, Romance, ...</td>\n",
              "      <td>https://myanimelist.cdn-dena.com/images/anime/...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>26</th>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>23755</td>\n",
              "      <td>Action</td>\n",
              "      <td>8.29</td>\n",
              "      <td>52</td>\n",
              "      <td>Nanatsu no Taizai</td>\n",
              "      <td>Action, Adventure, Supernatural, Magic, Ecchi,...</td>\n",
              "      <td>https://myanimelist.cdn-dena.com/images/anime/...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>27</th>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>8769</td>\n",
              "      <td>Slice of Life</td>\n",
              "      <td>7.34</td>\n",
              "      <td>110</td>\n",
              "      <td>Ore no Imouto ga Konnani Kawaii Wake ga Nai</td>\n",
              "      <td>Slice of Life, Comedy</td>\n",
              "      <td>https://myanimelist.cdn-dena.com/images/anime/...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>28</th>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>3731</td>\n",
              "      <td>Comedy</td>\n",
              "      <td>7.70</td>\n",
              "      <td>473</td>\n",
              "      <td>Itazura na Kiss</td>\n",
              "      <td>Comedy, Romance, Shoujo</td>\n",
              "      <td>https://myanimelist.cdn-dena.com/images/anime/...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>29</th>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1818</td>\n",
              "      <td>Action</td>\n",
              "      <td>7.87</td>\n",
              "      <td>119</td>\n",
              "      <td>Claymore</td>\n",
              "      <td>Action, Adventure, Super Power, Demons, Supern...</td>\n",
              "      <td>https://myanimelist.cdn-dena.com/images/anime/...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "    residual_err  ...                                          image_url\n",
              "0            0.0  ...  https://myanimelist.cdn-dena.com/images/anime/...\n",
              "1            0.0  ...  https://myanimelist.cdn-dena.com/images/anime/...\n",
              "2            0.0  ...  https://myanimelist.cdn-dena.com/images/anime/...\n",
              "3            0.0  ...  https://myanimelist.cdn-dena.com/images/anime/...\n",
              "4            0.0  ...  https://myanimelist.cdn-dena.com/images/anime/...\n",
              "5            0.0  ...  https://myanimelist.cdn-dena.com/images/anime/...\n",
              "6            0.0  ...  https://myanimelist.cdn-dena.com/images/anime/...\n",
              "7            0.0  ...  https://myanimelist.cdn-dena.com/images/anime/...\n",
              "8            0.0  ...  https://myanimelist.cdn-dena.com/images/anime/...\n",
              "9            0.0  ...  https://myanimelist.cdn-dena.com/images/anime/...\n",
              "10           0.0  ...  https://myanimelist.cdn-dena.com/images/anime/...\n",
              "11           0.0  ...  https://myanimelist.cdn-dena.com/images/anime/...\n",
              "12           0.0  ...  https://myanimelist.cdn-dena.com/images/anime/...\n",
              "13           0.0  ...  https://myanimelist.cdn-dena.com/images/anime/...\n",
              "14           0.0  ...  https://myanimelist.cdn-dena.com/images/anime/...\n",
              "15           0.0  ...  https://myanimelist.cdn-dena.com/images/anime/...\n",
              "16           0.0  ...  https://myanimelist.cdn-dena.com/images/anime/...\n",
              "17           0.0  ...  https://myanimelist.cdn-dena.com/images/anime/...\n",
              "18           0.0  ...  https://myanimelist.cdn-dena.com/images/anime/...\n",
              "19           0.0  ...  https://myanimelist.cdn-dena.com/images/anime/...\n",
              "20           0.0  ...  https://myanimelist.cdn-dena.com/images/anime/...\n",
              "21           0.0  ...  https://myanimelist.cdn-dena.com/images/anime/...\n",
              "22           0.0  ...  https://myanimelist.cdn-dena.com/images/anime/...\n",
              "23           0.0  ...  https://myanimelist.cdn-dena.com/images/anime/...\n",
              "24           0.0  ...  https://myanimelist.cdn-dena.com/images/anime/...\n",
              "25           0.0  ...  https://myanimelist.cdn-dena.com/images/anime/...\n",
              "26           0.0  ...  https://myanimelist.cdn-dena.com/images/anime/...\n",
              "27           0.0  ...  https://myanimelist.cdn-dena.com/images/anime/...\n",
              "28           0.0  ...  https://myanimelist.cdn-dena.com/images/anime/...\n",
              "29           0.0  ...  https://myanimelist.cdn-dena.com/images/anime/...\n",
              "\n",
              "[30 rows x 9 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 33
        }
      ]
    }
  ]
}