dm-project-education.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Data Mining Project"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This is an educational data set which is collected from learning management system (LMS) called Kalboard 360."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### **Attributes:**\n",
    "\n",
    "- Gender: student's gender (nominal: 'Male' or 'Female’)\n",
    "\n",
    "- Nationality: student's nationality (nominal:’ Kuwait’,’ Lebanon’,’ Egypt’,’ SaudiArabia’,’ USA’,’ Jordan’, ’Venezuela’,’ Iran’,’ Tunis’,’ Morocco’,’ Syria’,’ Palestine’,’ Iraq’,’ Lybia’)\n",
    "\n",
    "- Place of birth: student's Place of birth (nominal:’ Kuwait’,’ Lebanon’,’ Egypt’,’ SaudiArabia’,’ USA’,’ Jordan’,’Venezuela’,’ Iran’,’ Tunis’,’ Morocco’,’ Syria’,’ Palestine’,’ Iraq’,’ Lybia’)\n",
    "\n",
    "- Educational Stages: educational level student belongs (nominal: ‘lowerlevel’,’MiddleSchool’,’HighSchool’)\n",
    "\n",
    "- Grade Levels: grade student belongs (nominal: ‘G-01’, ‘G-02’, ‘G-03’, ‘G-04’, ‘G-05’, ‘G-06’, ‘G-07’, ‘G-08’, ‘G-09’, ‘G-10’, ‘G-11’, ‘G-12 ‘)\n",
    "\n",
    "- Section ID: classroom student belongs (nominal:’A’,’B’,’C’)\n",
    "\n",
    "- Topic: course topic (nominal:’ English’,’ Spanish’, ‘French’,’ Arabic’,’ IT’,’ Math’,’ Chemistry’, ‘Biology’, ‘Science’, ’History’,’ Quran’,’ Geology’)\n",
    "\n",
    "- Semester: school year semester (nominal:’ First’,’ Second’)\n",
    "\n",
    "- Parent responsible for student (nominal:’mom’,’father’)\n",
    "\n",
    "- Raised hand: how many times the student raises their hand on classroom (numeric:0-100)\n",
    "\n",
    "- Visited resources: how many times the student visits a course content (numeric:0-100)\n",
    "\n",
    "- Viewing announcement: how many times the student checks the new announcements (numeric:0-100)\n",
    "\n",
    "- Discussion groups: how many times the student participate on discussion groups (numeric:0-100)\n",
    "\n",
    "- Parent Answering Survey: parent answered the surveys which are provided from school or not (nominal:’Yes’,’No’)\n",
    "\n",
    "- Parent School Satisfaction: the Degree of parent satisfaction from school (nominal:’Yes’,’No’)\n",
    "\n",
    "- Student Absence Days: the number of absence days for each student (nominal: above-7, under-7)\n",
    "\n",
    "\n",
    "### **The students are classified into three numerical intervals based on their total grade/mark:**\n",
    "\n",
    "- Low-Level: interval includes values from 0 to 69\n",
    "\n",
    "- Middle-Level: interval includes values from 70 to 89\n",
    "\n",
    "- High-Level: interval includes values from 90-100\n",
    "\n",
    "#### Which is the classification (decision) attribute."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Goal"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### To find patterns of what criterions lead to a specific grade/level of education"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import sklearn\n",
    "from sklearn.preprocessing import LabelEncoder\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt \n",
    "from sklearn.tree import DecisionTreeClassifier\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn import metrics\n",
    "from matplotlib.patches import Rectangle\n",
    "from matplotlib.gridspec import GridSpec\n",
    "from sklearn import datasets, preprocessing\n",
    "import missingno as msno\n",
    "from sklearn.metrics import classification_report, confusion_matrix\n",
    "from sklearn import tree\n",
    "from sklearn.tree import _tree\n",
    "from sklearn.tree import export_graphviz\n",
    "from six import StringIO  \n",
    "from IPython.display import Image  \n",
    "import pydotplus\n",
    "from snorkel.labeling import labeling_function\n",
    "from snorkel.labeling import PandasLFApplier\n",
    "from snorkel.labeling import PandasLFApplier\n",
    "from snorkel.labeling import LFAnalysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv(\"education.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 480 entries, 0 to 479\n",
      "Data columns (total 17 columns):\n",
      " #   Column                    Non-Null Count  Dtype \n",
      "---  ------                    --------------  ----- \n",
      " 0   gender                    480 non-null    object\n",
      " 1   NationalITy               480 non-null    object\n",
      " 2   PlaceofBirth              480 non-null    object\n",
      " 3   StageID                   480 non-null    object\n",
      " 4   GradeID                   480 non-null    object\n",
      " 5   SectionID                 480 non-null    object\n",
      " 6   Topic                     480 non-null    object\n",
      " 7   Semester                  480 non-null    object\n",
      " 8   Relation                  480 non-null    object\n",
      " 9   raisedhands               480 non-null    int64 \n",
      " 10  VisITedResources          480 non-null    int64 \n",
      " 11  AnnouncementsView         480 non-null    int64 \n",
      " 12  Discussion                480 non-null    int64 \n",
      " 13  ParentAnsweringSurvey     480 non-null    object\n",
      " 14  ParentschoolSatisfaction  480 non-null    object\n",
      " 15  StudentAbsenceDays        480 non-null    object\n",
      " 16  Class                     480 non-null    object\n",
      "dtypes: int64(4), object(13)\n",
      "memory usage: 63.9+ KB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
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      "text/plain": [
       "       gender NationalITy PlaceofBirth       StageID GradeID SectionID Topic  \\\n",
       "count     480         480          480           480     480       480   480   \n",
       "unique      2          14           14             3      10         3    12   \n",
       "top         M          KW       KuwaIT  MiddleSchool    G-02         A    IT   \n",
       "freq      305         179          180           248     147       283    95   \n",
       "mean      NaN         NaN          NaN           NaN     NaN       NaN   NaN   \n",
       "std       NaN         NaN          NaN           NaN     NaN       NaN   NaN   \n",
       "min       NaN         NaN          NaN           NaN     NaN       NaN   NaN   \n",
       "25%       NaN         NaN          NaN           NaN     NaN       NaN   NaN   \n",
       "50%       NaN         NaN          NaN           NaN     NaN       NaN   NaN   \n",
       "75%       NaN         NaN          NaN           NaN     NaN       NaN   NaN   \n",
       "max       NaN         NaN          NaN           NaN     NaN       NaN   NaN   \n",
       "\n",
       "       Semester Relation  raisedhands  VisITedResources  AnnouncementsView  \\\n",
       "count       480      480   480.000000        480.000000         480.000000   \n",
       "unique        2        2          NaN               NaN                NaN   \n",
       "top           F   Father          NaN               NaN                NaN   \n",
       "freq        245      283          NaN               NaN                NaN   \n",
       "mean        NaN      NaN    46.775000         54.797917          37.918750   \n",
       "std         NaN      NaN    30.779223         33.080007          26.611244   \n",
       "min         NaN      NaN     0.000000          0.000000           0.000000   \n",
       "25%         NaN      NaN    15.750000         20.000000          14.000000   \n",
       "50%         NaN      NaN    50.000000         65.000000          33.000000   \n",
       "75%         NaN      NaN    75.000000         84.000000          58.000000   \n",
       "max         NaN      NaN   100.000000         99.000000          98.000000   \n",
       "\n",
       "        Discussion ParentAnsweringSurvey ParentschoolSatisfaction  \\\n",
       "count   480.000000                   480                      480   \n",
       "unique         NaN                     2                        2   \n",
       "top            NaN                   Yes                     Good   \n",
       "freq           NaN                   270                      292   \n",
       "mean     43.283333                   NaN                      NaN   \n",
       "std      27.637735                   NaN                      NaN   \n",
       "min       1.000000                   NaN                      NaN   \n",
       "25%      20.000000                   NaN                      NaN   \n",
       "50%      39.000000                   NaN                      NaN   \n",
       "75%      70.000000                   NaN                      NaN   \n",
       "max      99.000000                   NaN                      NaN   \n",
       "\n",
       "       StudentAbsenceDays Class  \n",
       "count                 480   480  \n",
       "unique                  2     3  \n",
       "top               Under-7     M  \n",
       "freq                  289   211  \n",
       "mean                  NaN   NaN  \n",
       "std                   NaN   NaN  \n",
       "min                   NaN   NaN  \n",
       "25%                   NaN   NaN  \n",
       "50%                   NaN   NaN  \n",
       "75%                   NaN   NaN  \n",
       "max                   NaN   NaN  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe(include='all')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
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       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>30</td>\n",
       "      <td>No</td>\n",
       "      <td>Bad</td>\n",
       "      <td>Above-7</td>\n",
       "      <td>L</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>M</td>\n",
       "      <td>KW</td>\n",
       "      <td>KuwaIT</td>\n",
       "      <td>lowerlevel</td>\n",
       "      <td>G-04</td>\n",
       "      <td>A</td>\n",
       "      <td>IT</td>\n",
       "      <td>F</td>\n",
       "      <td>Father</td>\n",
       "      <td>30</td>\n",
       "      <td>25</td>\n",
       "      <td>5</td>\n",
       "      <td>35</td>\n",
       "      <td>No</td>\n",
       "      <td>Bad</td>\n",
       "      <td>Above-7</td>\n",
       "      <td>L</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>M</td>\n",
       "      <td>KW</td>\n",
       "      <td>KuwaIT</td>\n",
       "      <td>lowerlevel</td>\n",
       "      <td>G-04</td>\n",
       "      <td>A</td>\n",
       "      <td>IT</td>\n",
       "      <td>F</td>\n",
       "      <td>Father</td>\n",
       "      <td>40</td>\n",
       "      <td>50</td>\n",
       "      <td>12</td>\n",
       "      <td>50</td>\n",
       "      <td>No</td>\n",
       "      <td>Bad</td>\n",
       "      <td>Above-7</td>\n",
       "      <td>M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>F</td>\n",
       "      <td>KW</td>\n",
       "      <td>KuwaIT</td>\n",
       "      <td>lowerlevel</td>\n",
       "      <td>G-04</td>\n",
       "      <td>A</td>\n",
       "      <td>IT</td>\n",
       "      <td>F</td>\n",
       "      <td>Father</td>\n",
       "      <td>42</td>\n",
       "      <td>30</td>\n",
       "      <td>13</td>\n",
       "      <td>70</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Bad</td>\n",
       "      <td>Above-7</td>\n",
       "      <td>M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>M</td>\n",
       "      <td>KW</td>\n",
       "      <td>KuwaIT</td>\n",
       "      <td>MiddleSchool</td>\n",
       "      <td>G-07</td>\n",
       "      <td>A</td>\n",
       "      <td>Math</td>\n",
       "      <td>F</td>\n",
       "      <td>Father</td>\n",
       "      <td>35</td>\n",
       "      <td>12</td>\n",
       "      <td>0</td>\n",
       "      <td>17</td>\n",
       "      <td>No</td>\n",
       "      <td>Bad</td>\n",
       "      <td>Above-7</td>\n",
       "      <td>L</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>M</td>\n",
       "      <td>KW</td>\n",
       "      <td>KuwaIT</td>\n",
       "      <td>MiddleSchool</td>\n",
       "      <td>G-07</td>\n",
       "      <td>A</td>\n",
       "      <td>Math</td>\n",
       "      <td>F</td>\n",
       "      <td>Father</td>\n",
       "      <td>50</td>\n",
       "      <td>10</td>\n",
       "      <td>15</td>\n",
       "      <td>22</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Good</td>\n",
       "      <td>Under-7</td>\n",
       "      <td>M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>F</td>\n",
       "      <td>KW</td>\n",
       "      <td>KuwaIT</td>\n",
       "      <td>MiddleSchool</td>\n",
       "      <td>G-07</td>\n",
       "      <td>A</td>\n",
       "      <td>Math</td>\n",
       "      <td>F</td>\n",
       "      <td>Father</td>\n",
       "      <td>12</td>\n",
       "      <td>21</td>\n",
       "      <td>16</td>\n",
       "      <td>50</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Good</td>\n",
       "      <td>Under-7</td>\n",
       "      <td>M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>F</td>\n",
       "      <td>KW</td>\n",
       "      <td>KuwaIT</td>\n",
       "      <td>MiddleSchool</td>\n",
       "      <td>G-07</td>\n",
       "      <td>B</td>\n",
       "      <td>IT</td>\n",
       "      <td>F</td>\n",
       "      <td>Father</td>\n",
       "      <td>70</td>\n",
       "      <td>80</td>\n",
       "      <td>25</td>\n",
       "      <td>70</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Good</td>\n",
       "      <td>Under-7</td>\n",
       "      <td>M</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  gender NationalITy PlaceofBirth       StageID GradeID SectionID Topic  \\\n",
       "0      M          KW       KuwaIT    lowerlevel    G-04         A    IT   \n",
       "1      M          KW       KuwaIT    lowerlevel    G-04         A    IT   \n",
       "2      M          KW       KuwaIT    lowerlevel    G-04         A    IT   \n",
       "3      M          KW       KuwaIT    lowerlevel    G-04         A    IT   \n",
       "4      M          KW       KuwaIT    lowerlevel    G-04         A    IT   \n",
       "5      F          KW       KuwaIT    lowerlevel    G-04         A    IT   \n",
       "6      M          KW       KuwaIT  MiddleSchool    G-07         A  Math   \n",
       "7      M          KW       KuwaIT  MiddleSchool    G-07         A  Math   \n",
       "8      F          KW       KuwaIT  MiddleSchool    G-07         A  Math   \n",
       "9      F          KW       KuwaIT  MiddleSchool    G-07         B    IT   \n",
       "\n",
       "  Semester Relation  raisedhands  VisITedResources  AnnouncementsView  \\\n",
       "0        F   Father           15                16                  2   \n",
       "1        F   Father           20                20                  3   \n",
       "2        F   Father           10                 7                  0   \n",
       "3        F   Father           30                25                  5   \n",
       "4        F   Father           40                50                 12   \n",
       "5        F   Father           42                30                 13   \n",
       "6        F   Father           35                12                  0   \n",
       "7        F   Father           50                10                 15   \n",
       "8        F   Father           12                21                 16   \n",
       "9        F   Father           70                80                 25   \n",
       "\n",
       "   Discussion ParentAnsweringSurvey ParentschoolSatisfaction  \\\n",
       "0          20                   Yes                     Good   \n",
       "1          25                   Yes                     Good   \n",
       "2          30                    No                      Bad   \n",
       "3          35                    No                      Bad   \n",
       "4          50                    No                      Bad   \n",
       "5          70                   Yes                      Bad   \n",
       "6          17                    No                      Bad   \n",
       "7          22                   Yes                     Good   \n",
       "8          50                   Yes                     Good   \n",
       "9          70                   Yes                     Good   \n",
       "\n",
       "  StudentAbsenceDays Class  \n",
       "0            Under-7     M  \n",
       "1            Under-7     M  \n",
       "2            Above-7     L  \n",
       "3            Above-7     L  \n",
       "4            Above-7     M  \n",
       "5            Above-7     M  \n",
       "6            Above-7     L  \n",
       "7            Under-7     M  \n",
       "8            Under-7     M  \n",
       "9            Under-7     M  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Remove duplicates"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2\n"
     ]
    }
   ],
   "source": [
    "print(df.shape[0] - df.drop_duplicates().shape[0]) ## 2 duplicates found"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = df.drop_duplicates()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Transform data to numerical form"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "gender = {'gender': {'M': 0, 'F': 1}}\n",
    "nationality = {'NationalITy': dict()}\n",
    "births = {'PlaceofBirth': dict()}\n",
    "stages = {'StageID': dict()}\n",
    "grades = {'GradeID': dict()}\n",
    "sections = {'SectionID': dict()}\n",
    "topics = {'Topic': dict()}\n",
    "semesters = {'F': 0, 'S': 1}\n",
    "relations = {'Father': 0, 'Mum': 1}\n",
    "surveys = {'No': 0, 'Yes': 1}\n",
    "classes = [gender, nationality, births, stages, grades, sections, topics, semesters, relations, surveys]\n",
    "\n",
    "i = 1\n",
    "for nat in df.NationalITy.unique():\n",
    "    nationality['NationalITy'][nat] = i\n",
    "    i += 1\n",
    "    \n",
    "j = 1    \n",
    "for birth in df.PlaceofBirth.unique():\n",
    "    births['PlaceofBirth'][birth] = j\n",
    "    j += 1\n",
    "    \n",
    "s = 1\n",
    "for stage in df.StageID.unique():\n",
    "    stages['StageID'][stage] = s\n",
    "    s += 1\n",
    "    \n",
    "x = 1\n",
    "for grade in df.GradeID.unique():\n",
    "    grades['GradeID'][grade] = x\n",
    "    x += 1\n",
    "\n",
    "y = 1\n",
    "for sec in df.SectionID.unique():\n",
    "    sections['SectionID'][sec] = y\n",
    "    y += 1\n",
    "\n",
    "d = 1\n",
    "for topic in df.Topic.unique():\n",
    "    topics['Topic'][topic] = d\n",
    "    d += 1\n",
    "\n",
    "    \n",
    "for col in df.columns[14:17]:\n",
    "    i = 1\n",
    "    for j in df[col].unique():\n",
    "        df[col] = df[col].apply(lambda x: i if x == j else x)\n",
    "        i += 1\n",
    "\n",
    "for cl in classes:\n",
    "    df.replace(cl, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>gender</th>\n",
       "      <th>NationalITy</th>\n",
       "      <th>PlaceofBirth</th>\n",
       "      <th>StageID</th>\n",
       "      <th>GradeID</th>\n",
       "      <th>SectionID</th>\n",
       "      <th>Topic</th>\n",
       "      <th>Semester</th>\n",
       "      <th>Relation</th>\n",
       "      <th>raisedhands</th>\n",
       "      <th>VisITedResources</th>\n",
       "      <th>AnnouncementsView</th>\n",
       "      <th>Discussion</th>\n",
       "      <th>ParentAnsweringSurvey</th>\n",
       "      <th>ParentschoolSatisfaction</th>\n",
       "      <th>StudentAbsenceDays</th>\n",
       "      <th>Class</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
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       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>15</td>\n",
       "      <td>16</td>\n",
       "      <td>2</td>\n",
       "      <td>20</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>20</td>\n",
       "      <td>20</td>\n",
       "      <td>3</td>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>30</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>30</td>\n",
       "      <td>25</td>\n",
       "      <td>5</td>\n",
       "      <td>35</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>40</td>\n",
       "      <td>50</td>\n",
       "      <td>12</td>\n",
       "      <td>50</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>475</th>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>11</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>476</th>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>12</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>50</td>\n",
       "      <td>77</td>\n",
       "      <td>14</td>\n",
       "      <td>28</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477</th>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>12</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>55</td>\n",
       "      <td>74</td>\n",
       "      <td>25</td>\n",
       "      <td>29</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>478</th>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>30</td>\n",
       "      <td>17</td>\n",
       "      <td>14</td>\n",
       "      <td>57</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>479</th>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>9</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>35</td>\n",
       "      <td>14</td>\n",
       "      <td>23</td>\n",
       "      <td>62</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>478 rows × 17 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     gender  NationalITy  PlaceofBirth  StageID  GradeID  SectionID  Topic  \\\n",
       "0         0            1             1        1        1          1      1   \n",
       "1         0            1             1        1        1          1      1   \n",
       "2         0            1             1        1        1          1      1   \n",
       "3         0            1             1        1        1          1      1   \n",
       "4         0            1             1        1        1          1      1   \n",
       "..      ...          ...           ...      ...      ...        ...    ...   \n",
       "475       1            6             6        2        3          1     11   \n",
       "476       1            6             6        2        3          1     12   \n",
       "477       1            6             6        2        3          1     12   \n",
       "478       1            6             6        2        3          1      9   \n",
       "479       1            6             6        2        3          1      9   \n",
       "\n",
       "     Semester  Relation  raisedhands  VisITedResources  AnnouncementsView  \\\n",
       "0           0         0           15                16                  2   \n",
       "1           0         0           20                20                  3   \n",
       "2           0         0           10                 7                  0   \n",
       "3           0         0           30                25                  5   \n",
       "4           0         0           40                50                 12   \n",
       "..        ...       ...          ...               ...                ...   \n",
       "475         1         0            5                 4                  5   \n",
       "476         0         0           50                77                 14   \n",
       "477         1         0           55                74                 25   \n",
       "478         0         0           30                17                 14   \n",
       "479         1         0           35                14                 23   \n",
       "\n",
       "     Discussion  ParentAnsweringSurvey  ParentschoolSatisfaction  \\\n",
       "0            20                      1                         1   \n",
       "1            25                      1                         1   \n",
       "2            30                      0                         2   \n",
       "3            35                      0                         2   \n",
       "4            50                      0                         2   \n",
       "..          ...                    ...                       ...   \n",
       "475           8                      0                         2   \n",
       "476          28                      0                         2   \n",
       "477          29                      0                         2   \n",
       "478          57                      0                         2   \n",
       "479          62                      0                         2   \n",
       "\n",
       "     StudentAbsenceDays  Class  \n",
       "0                     1      1  \n",
       "1                     1      1  \n",
       "2                     2      2  \n",
       "3                     2      2  \n",
       "4                     2      1  \n",
       "..                  ...    ...  \n",
       "475                   2      2  \n",
       "476                   1      1  \n",
       "477                   1      1  \n",
       "478                   2      2  \n",
       "479                   2      2  \n",
       "\n",
       "[478 rows x 17 columns]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Normalization"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "X = df[[\"raisedhands\", \"VisITedResources\", \"AnnouncementsView\", \"Discussion\"]]\n",
    "cols = df.columns[9:13]\n",
    "\n",
    "norm = preprocessing.MinMaxScaler(feature_range=(0,1)).fit(X)\n",
    "X_minmax = pd.DataFrame(norm.transform(X), columns=cols)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>raisedhands</th>\n",
       "      <th>VisITedResources</th>\n",
       "      <th>AnnouncementsView</th>\n",
       "      <th>Discussion</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.15</td>\n",
       "      <td>0.161616</td>\n",
       "      <td>0.020408</td>\n",
       "      <td>0.193878</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.20</td>\n",
       "      <td>0.202020</td>\n",
       "      <td>0.030612</td>\n",
       "      <td>0.244898</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.10</td>\n",
       "      <td>0.070707</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.295918</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.30</td>\n",
       "      <td>0.252525</td>\n",
       "      <td>0.051020</td>\n",
       "      <td>0.346939</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.40</td>\n",
       "      <td>0.505051</td>\n",
       "      <td>0.122449</td>\n",
       "      <td>0.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>0.42</td>\n",
       "      <td>0.303030</td>\n",
       "      <td>0.132653</td>\n",
       "      <td>0.704082</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>0.35</td>\n",
       "      <td>0.121212</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.163265</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>0.50</td>\n",
       "      <td>0.101010</td>\n",
       "      <td>0.153061</td>\n",
       "      <td>0.214286</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>0.12</td>\n",
       "      <td>0.212121</td>\n",
       "      <td>0.163265</td>\n",
       "      <td>0.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>0.70</td>\n",
       "      <td>0.808081</td>\n",
       "      <td>0.255102</td>\n",
       "      <td>0.704082</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   raisedhands  VisITedResources  AnnouncementsView  Discussion\n",
       "0         0.15          0.161616           0.020408    0.193878\n",
       "1         0.20          0.202020           0.030612    0.244898\n",
       "2         0.10          0.070707           0.000000    0.295918\n",
       "3         0.30          0.252525           0.051020    0.346939\n",
       "4         0.40          0.505051           0.122449    0.500000\n",
       "5         0.42          0.303030           0.132653    0.704082\n",
       "6         0.35          0.121212           0.000000    0.163265\n",
       "7         0.50          0.101010           0.153061    0.214286\n",
       "8         0.12          0.212121           0.163265    0.500000\n",
       "9         0.70          0.808081           0.255102    0.704082"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_minmax.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>raisedhands</th>\n",
       "      <th>VisITedResources</th>\n",
       "      <th>AnnouncementsView</th>\n",
       "      <th>Discussion</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>478.000000</td>\n",
       "      <td>478.000000</td>\n",
       "      <td>478.000000</td>\n",
       "      <td>478.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>0.468870</td>\n",
       "      <td>0.555302</td>\n",
       "      <td>0.387905</td>\n",
       "      <td>0.432756</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.307879</td>\n",
       "      <td>0.333688</td>\n",
       "      <td>0.271668</td>\n",
       "      <td>0.281847</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>0.160000</td>\n",
       "      <td>0.202020</td>\n",
       "      <td>0.145408</td>\n",
       "      <td>0.193878</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>0.500000</td>\n",
       "      <td>0.656566</td>\n",
       "      <td>0.336735</td>\n",
       "      <td>0.392857</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>0.750000</td>\n",
       "      <td>0.848485</td>\n",
       "      <td>0.591837</td>\n",
       "      <td>0.704082</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       raisedhands  VisITedResources  AnnouncementsView  Discussion\n",
       "count   478.000000        478.000000         478.000000  478.000000\n",
       "mean      0.468870          0.555302           0.387905    0.432756\n",
       "std       0.307879          0.333688           0.271668    0.281847\n",
       "min       0.000000          0.000000           0.000000    0.000000\n",
       "25%       0.160000          0.202020           0.145408    0.193878\n",
       "50%       0.500000          0.656566           0.336735    0.392857\n",
       "75%       0.750000          0.848485           0.591837    0.704082\n",
       "max       1.000000          1.000000           1.000000    1.000000"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_minmax.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Check for missing values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "16"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sum(df.isna().sum()) + sum(df.isnull().sum())  # 16 missing values found"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.647, -0.155, 'Missing Values')"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1800x720 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "temp = msno.matrix(df)\n",
    "\n",
    "temp.annotate('Missing Values', xy=(0.647, -0.065), xytext=(0.647, -0.155), xycoords='axes fraction', \n",
    "            fontsize=25, ha='center', va='bottom',\n",
    "            bbox=dict(boxstyle='square', fc='white'),\n",
    "            arrowprops=dict(arrowstyle='-[, widthB=6, lengthB=0.8', lw=2.0, color='red'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = df.dropna()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.patches.Rectangle at 0x7f9f5f06e730>"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x1440 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set(font_scale = 1.2)\n",
    "corr = df.corr()\n",
    "mask = np.triu(np.ones_like(corr, dtype=bool))\n",
    "f, ax = plt.subplots(figsize=(20, 20))\n",
    "sns.heatmap(corr, mask=mask, cmap=\"YlGnBu\", annot=True, vmax=.3, center=0,\n",
    "            square=True, linewidths=.5, cbar_kws={\"shrink\": .5})\n",
    "ax.set_title('Correlations', fontsize=30, fontweight='bold', pad=10)\n",
    "ax.tick_params(axis='both', labelsize=15)\n",
    "ax.set_yticklabels(ax.get_xticklabels(), rotation = 360)\n",
    "ax.set_xticklabels(ax.get_xticklabels(), rotation = 90)\n",
    "ax.add_patch(Rectangle((0,16),16,1, fill=False, edgecolor='red', lw=8))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Drop irrelevant attributes considering their low correlation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_64828/4216429145.py:1: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  df.drop(columns=['StageID', 'GradeID', 'SectionID', 'Topic', 'Semester', 'NationalITy'], inplace=True)\n"
     ]
    }
   ],
   "source": [
    "df.drop(columns=['StageID', 'GradeID', 'SectionID', 'Topic', 'Semester', 'NationalITy'], inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# CART Algorithm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "depth = list()\n",
    "acc = list()\n",
    "for i in range(1, 21):\n",
    "    y = df.Class\n",
    "    X = df.drop('Class', axis=1)\n",
    "\n",
    "    X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=1)\n",
    "\n",
    "    clf = DecisionTreeClassifier(max_depth=i)\n",
    "    clf = clf.fit(X_train, y_train)\n",
    "    y_pred = clf.predict(X_test)\n",
    "    depth.append(i)\n",
    "    acc.append(metrics.accuracy_score(y_test, y_pred))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/sonya/.local/lib/python3.8/site-packages/seaborn/_decorators.py:36: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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Xp1cxELqhRtc8WZy7dSo72uBAOX4+ayS27T2H3KMXMS8lwtVFsqg3GPHVqavYd7wMVdp6hAQMwGNzRmFSXHCvXW3bKyYiAKMjA5Hz9QW7B4fZoq7BiK9OX7G65oFYqAbJMXWsCgcKNLhr/BCnDqjra9ip3A1Cy+yh7tip7Gh3jB6MCTG3Y/dXpfj+co2ri4Oa2gb864sSrP7b1/jnZ+cRoPTGfz80Gv+zLBlTx6rcJgxaLZwRhTqDEblHLjj9vQ6fuYq6hqZuzWra3y24Yxg8ZFL8ywljJ/oythC6obWFILb7ip2RSCT4xexR+OGKFm9lF2Htr5IcMn13d12t0uE/xy7h68IKNDWZkDAyCPckD0VUaPcmZOtrhgT5YfLowfgs/zLuShiCQZ3M1ukIJrMZ+/Mu27zmgVgM9PPG7AlhyD58ASVXakRTN2whdENrHwIDodkAHw/81/1xuFHbgO0fn+vVYf/nL9/AXz44jRc2f4MjLfPubHhiIp56cLTbh0GrBXcMg1QiwYdOnNLi9PdVuHaje2seiMXsCUOhlHthl4imtGALoRu0OgO8PWXw9nKv2w/OFKUaiAemRuKDgyX44tQVTB/n3E7Jyht12JxzFt9froGfryfmT47AnQlD+uVtvLYTr81OGtqtdbZt9WleGQKU3kiMtn3NA7Hw9fbA/XcMw87/fIuT3/8I9Yj+X0dsIXSD1g1HKfeGe5KHIi7CH//cfx6aSudM5w00jyPYsDMfV3/U4eezRiL91ylYMCWyX4ZBK8vEawccf5Vadq0WxRercVfCELeZm6u3TRkzGCEBA/DBwRI0iWCJX34LukHQGdz6kVNnkUokSLsvFj5eMryZXQSDE0Z5Whaql0rw3JJE3JU4xKnPy/cVrROvFV+sRqGDp7T4NK8MXp5STBmrcuh5+xMPmRQPT4/C1So9vjrd/6e0YCB0Q42uscNSiNRsoJ830u6LhaZSh/c+/96h5y44X4lX3zuJga0L1TtwdKo7mK4Oxe23+TZPaeGgyRxb1zyYHO/8x1rdnXrEIAwfMhC7vypFvcE1S4L2FgZCNwh6A5Ry/uO5ldGRgZg9IQwHCjTI/7bSIef86vQV/PXDwk4XqheL1onXLlfq8HWhY6Ywt6x5MN6+NQ/EoHlKi+Go0Rmw71iZq4vjVAwEG5nMZgj6xn59v9oRHpoWhfAQBbZ/XIyqmlsvXWiLj49exLa95265UL2YtE689u+vfrD7llzrmgejIwMx2M3WEXaV4aEDkRgdhI+/uWR5/Lw/YiDYSFfXCJPZLOofJVt4yKRYfn8cjCYz/r6nqEcdcSazGe9//j12HSzBhJjb8duFY0W//GfrxGvVQgM+zbPvKvX4uQrU6AyYlcTWQXc8NC0KxiYTsg+VurooTiPuf2XdoO0H8xj1lmD/AfjF3dHYnHMWew5fwIIpkTYfa2wy4R8fNy9Uf1fCECyeNQJSB0/F7K5aJ17be/QiBvh4oqfV8lne5eY1D+xcw0FsQgIGYNo4FQ4WXMGUsYP75frLDAQbaS3zGDEQbDEpPgRFF65jz9cXEBPuj+ih/laPabdQ/ZRhmJdi20L1YvLw9Cis35mHnf/51q7z/OreGNZtD8yfPAzfnK3Ay9vz+s2o+LYYCDayzGPEcQg2+/mskSjR1ODve85i7a8mdPk0i66+EX/+4DRKLtfg0dnRmKF27gA3d6UaJMerT01GXUPP+xFkUgn7wnpIKffC/6QlY3/+ZRw4oUH+d5UYMWQg7kkeirHDB7l9a5aBYKPWFgL/IdnO17t5aov1O/Lxdm4x/vuh0Z1elVYLDdj0/klUXNfjyQXxGD/qdheU1n34eHmIvk/FlQb6eeOhaVGYOyncMrPuG/86g8GBAzB7wlC3mln3ZuxUtpFWb4BUIoGcz2x3S0SIEgunR+Hk9z/i8xOaDtvLr+uxYWc+fqypx+8WjmUYkNvw8fLArKQwbFw+EU/Mj4WnhxTbPz6H1RlHkPP1BejqG11dxG7jZYaNtLpGKAZ4un2T0BVmJYXh7MVqvPf59xgxZCCGBjfPyVN6VYvX3j8FiQR4NlXdLzvpqP+TSaWYGBuC5Jhgy+p8H375Q8uqa4Nxd1IYBg10zmy1jsYWgo20OgM7lHtIIpHgV/fGQO7jgbeyi9BgaMLZC9fxx38WwMdLhjVLEhkG5PYkEgliIwKw4mfjsPZXE5AwMggHTmjw3JtH8VZ2ES6W980V4tpiC8FGHKVsH6XcC8vmxeLVrJN4bdcp/HClBsEBA7DikXF9fl1mou4Ku90Py+bF4qFpkfg0rwxfnLyCb85WICbcH3OS7Zu5ViqVwFnzrjIQbFSjM2C4f/95vMwVYiMCcO+kcOQeuYjhQwbitw+PgdwFi+oQ9ZYApQ9+ducIzEsZhi9OavBpXhk2vX/K7vOuSE1A/NDb7C/gTWwKBJPJhNdffx0ffPAB6urqkJCQgHXr1iE0tPNHA+vr6/H6669j79690Gq1CAoKwu9//3tMmzYNAPDcc89hz5498PL66RZMamoqVq9e7YCP5ByCvpEL4zjAginDEDlYidhhAaKYrZQIaJ61ds7EcMxKCsOJ7yoti231hFQCJI4KRoO+wYElbGZTIGzZsgU5OTnIzMxEcHAwNm7ciOXLl2P37t2Q3jSPutlsxlNPPQUAeOeddxAWFoby8nIYje1nCZw3bx42btzooI/hXA2GJjQ0NvGRUweQSaVQj+z/C40QdcZDJsWEmGC7z6OUe6HSVYGQlZWFtLQ0REY2T0GwevVqpKSkID8/H0lJSe32PXz4MI4fP46DBw8iIKB5aHxISIiDi927tPrWUcq8vUFE/ZfVp4wEQYBGo0F8fLzlNaVSifDwcBQXF3fY/+jRoxgyZAgyMjIwefJk3HnnnXj55Zeh0+na7bd//34kJydj5syZeOmll3D9umMX/3AkrWWUMlsIRNR/WW0h1NY2L4moVLZ/LFChUFi2tVVdXY2SkhJMnjwZ+/fvR3V1NX7zm9/glVdewbp16wAAS5YswcqVKzFo0CCUlZVh7dq1ePLJJ5GVldWt+VUCA/1s3tceP1Q0f87wIbchKMjx69q6Qn/5HK7EOrQP688+zqg/q4Hg59f8oysI7Z+hFQTBsq0tuVwOmUyGVatWwdvbG76+vli2bBlefvllSyC0bW0MHToU69evx7Rp03DhwgUMGzbM5sJXVdU6bAWprlwu1wIAmhqMqKzs+88SWxMUpOgXn8OVWIf2Yf3Zp6f1J5VKuryQtnrLSKFQIDQ0FIWFhZbXBEHApUuXEBMT02H/2NhYAGh3pW/tqr91u6MXEXeUn+YxYh8CEfVfNo1UXrRoEbZu3YrS0lLo9Xqkp6cjIiICiYmJHfadNWsWAgMD8dprr8FgMKCiogJbtmzB7NmzAQANDQ345JNPLC0OjUaDF198EXFxcYiIiHDcJ3Mgrc4AX2+Z205YRURkC5sCIS0tDXPmzEFqaipSUlKg0WiQkZEBqVSKvLw8qNVqXLlyBUDzLaO3334bhYWFSE5OxsKFC5GQkIBnnnkGQPOYhh07duCuu+7CuHHjsGTJEoSEhOCtt97q8AhrX6HVG9ihTET9nsTcV+/T2KC3+hD++O4JGE1mrFnSsUXkjnj/1n6sQ/uw/uzjsj4E4ihlIhIHBoINtHoDRykTUb/HQLCiyWRCrb6RS2cSUb/HQLCits4IM7h0JhH1fwwEKyxjENiHQET9HAPBCk5sR0RiwUCwQrCMUmYLgYj6NwaCFVoGAhGJBAPBCq2+ETKpBAO8udooEfVvDAQrtLrmMQjdmZabiMgdMRCs0OoN7FAmIlFgIFghcJQyEYkEA8EKrY4znRKRODAQumA2m6HVN7KFQESiwEDoQr2hCY1GE1sIRCQKDIQucJQyEYkJA6ELgq4RADCQt4yISAQYCF2o0bW2EBgIRNT/MRC6IOg5bQURiQcDoQtaHfsQiEg8GAhd0OoNkPt4wEPGaiKi/o+/dF3gGAQiEhMGQhe0OgM7lIlINBgIXeA8RkQkJgyELjTPY8QOZSISBwbCLRibTNDVG9lCICLRsCkQTCYTNm3ahJSUFKjVaixduhQajeaW+9fX12Pjxo2YOnUqxo0bh1mzZuGLL75ot/2ll17ChAkTkJCQgKeffho3btyw+8M4kqBvHqXMeYyISCxsCoQtW7YgJycHmZmZOHToEFQqFZYvXw6TydRhX7PZjKeeegrnz5/HO++8g5MnT2Lnzp2Iioqy7LNhwwYUFhZiz549OHDgAPR6PZ599lnHfSoH0HKUMhGJjE0LBWdlZSEtLQ2RkZEAgNWrVyMlJQX5+flISkpqt+/hw4dx/PhxHDx4EAEBAQCAkJAQy/b6+np89NFHeOONNxAcHAwAePbZZ3HvvffiypUrUKlUDvlg9modpcx5jIhILKwGgiAI0Gg0iI+Pt7ymVCoRHh6O4uLiDoFw9OhRDBkyBBkZGdi7dy+8vb0xY8YMrFixAnK5HBcuXEBDQwNGjx5tOSYqKgq+vr4oLi7uViAEBvrZvG93mS9WAwDCw25D0CDnvY+rBAUpXF0Et8c6tA/rzz7OqD+rgVBbWwugOQTaUigUlm1tVVdXo6SkBJMnT8b+/ftRXV2N3/zmN3jllVewbt06yzEKhcKm83WlqqoWJpO5W8fYSlMuAACM9Y2orBSc8h6uEhSk6HefqbexDu3D+rNPT+tPKpV0eSFttQ/Bz6/5YEFo/+aCIFi2tSWXyyGTybBq1Sr4+vpCpVJh2bJl2L9/f4/O5ypanQGeHlL4eMlcXRQiol5hNRAUCgVCQ0NRWFhoeU0QBFy6dAkxMTEd9o+NjQUASCQSy2tt/zsiIgLe3t7tzldSUoK6ujqMGjWqZ5/CCbT65jEIbctORNSf2fSU0aJFi7B161aUlpZCr9cjPT0dERERSExM7LDvrFmzEBgYiNdeew0GgwEVFRXYsmULZs+eDQDw8fHBggUL8Je//AXXrl1DTU0N0tPTMW3aNISGhjr209lBy1HKRCQyNgVCWloa5syZg9TUVKSkpECj0SAjIwNSqRR5eXlQq9W4cuUKgOZbRm+//TYKCwuRnJyMhQsXIiEhAc8884zlfGvWrEFMTAzmzp2LGTNmwNvbG3/84x+d8wl7iPMYEZHYSMxms3N6ZXuBMzuVV/71MOKGBeBX93a8Lebu2KFnP9ahfVh/9nFZp7IYmc3mlnmM2EIgIvFgIHRC32BEk8nMie2ISFQYCJ1onbaCncpEJCYMhE5Y5jFiIBCRiDAQOtE60+lA9iEQkYgwEDpRwxYCEYkQA6ETgt4ACQCFLzuViUg8GAid0Oob4TfAE1Ipp60gIvFgIHSCYxCISIwYCJ3gPEZEJEYMhE40z2PE/gMiEhcGQicEthCISIQYCDdpNDahrqGJfQhEJDoMhJtodc2D0thCICKxYSDcRKtvmceILQQiEhkGwk1+mseIncpEJC4MhJu0thA4jxERiQ0D4SatE9tx+UwiEhsGwk20OgO8PWXw9pK5uihERL2KgXCT5lHK7D8gIvFhINyE8xgRkVgxEG6i1TVyDAIRiRID4SZavYEdykQkSgyENkxmc8s8RuxDICLxYSC0oatrhNnMUcpEJE4etuxkMpnw+uuv44MPPkBdXR0SEhKwbt06hIaGdrp/dHQ0vL29IZP99OhmVlYWoqOjAQBvvPEG/va3v8HHx8eyfcaMGdi0aZM9n8VuraOU2YdARGJkUyBs2bIFOTk5yMzMRHBwMDZu3Ijly5dj9+7dkEo7b2Rs3rwZycnJtzzn+PHjsXPnzp6V2km0LYPS2EIgIjGy6ZZRVlYW0tLSEBkZCblcjtWrV6O0tBT5+fnOLl+v+mkeIwYCEYmP1RaCIAjQaDSIj4+3vKZUKhEeHo7i4mIkJSV1etzKlSvR2NgIlUqFxYsX45FHHmm3vbCwEBMnToSvry8SEhLw9NNPIywsrFuFDwz069b+1pik1wAAw8L8MdDP26Hn7muCghSuLoLbYx3ah/VnH2fUn9VAqK2tBdAcAm0pFArLtptt374darUaUqkUR48exapVq2A0GpGamgoAmD17Nh588EGoVCpcu3YNr776Kh5//HHs3r0bcrnc5sJXVdXCZDLbvL81V68JkEokqNc3wFBncNh5+5qgIAUqKwVXF8OtsQ7tw/qzT0/rTyqVdHkhbfWWkZ9f88GC0P7NBUGwbLvZpEmT4OPjAy8vL0ydOhWPPfYYsrOzLdtHjhyJ0NBQSCQSBAcHY/369aisrERBQYFNH8pZWtdSlkokLi0HEZErWA0EhUKB0NBQFBYWWl4TBAGXLl1CTEyMbW8ilcJsvvWVvEQigUQi6XKf3sBRykQkZjZ1Ki9atAhbt25FaWkp9Ho90tPTERERgcTExA77FhUV4cyZMzAYDDAajTh8+DC2bduGuXPnWvbZu3cvrl+/DgCoqqrCiy++iICAAKjVagd9rJ7R6g1QDuCgNCISJ5seO01LS4MgCEhNTUVdXR0SExORkZEBqVSKvLw8LFu2DLm5uVCpVKioqEB6ejrKy8shk8mgUqnw9NNPY/HixZbzZWdnY926dairq4NSqURSUhK2bdt2y1tQvUWrMyDYf6BLy0BE5CoSs6vv09jB0Z3KT776BaaNU2HRXSMcds6+iB169mMd2of1Zx+XdSqLRYOhCQ2NTexDICLRYiC0aF1LmaOUiUisGAgtfprHiJ3KRCRODIQWlhYCbxkRkUgxEFoInNiOiESOgdCipnViO45DICKRYiC0EHQG+Hp7wNNDZn1nIqJ+iIHQgqOUiUjsGAgttDoDO5SJSNQYCC0EfSM7lIlI1BgILWp0Bq6URkSixkAA0GQyQVfXyD4EIhI1BgKAWn0jzOCgNCISNwYCAC0HpRERMRAATltBRAQwEAD8NLEdRykTkZgxENA8ShkABrKFQEQixkAAUKM3wEMmga+3TSuKEhH1SwwEAIKuEYoBXpBIJK4uChGRyzAQ0DqPEW8XEZG4MRDAeYyIiAAGAgBA4EynREQMBLPZjBpdI+cxIiLRE30g1BuaYGwysQ+BiERP9IHQOihNKectIyISN5sCwWQyYdOmTUhJSYFarcbSpUuh0WhuuX90dDTGjBkDtVpt+fv22297fD5n4rQVRETNbAqELVu2ICcnB5mZmTh06BBUKhWWL18Ok8l0y2M2b96MgoICy190dLRd53MWrY4T2xERATYGQlZWFtLS0hAZGQm5XI7Vq1ejtLQU+fn5PXpTR5/PHq0tBAUDgYhEzupcDYIgQKPRID4+3vKaUqlEeHg4iouLkZSU1OlxK1euRGNjI1QqFRYvXoxHHnnErvN1JjDQz+Z9b6UJzaOTI8MD4CETT5dKUJDC1UVwe6xD+7D+7OOM+rMaCLW1tQCaf7TbUigUlm032759O9RqNaRSKY4ePYpVq1bBaDQiNTW1R+e7laqqWphM5m4dc7OrlQLkPh6ovq6z6zzuJChIgcpKwdXFcGusQ/uw/uzT0/qTSiVdXkhbvST282s+WBDav7kgCJZtN5s0aRJ8fHzg5eWFqVOn4rHHHkN2dnaPz+dMAkcpExEBsCEQFAoFQkNDUVhYaHlNEARcunQJMTExtr2JVAqz2eyw8zmSVt/IDmUiItjYqbxo0SJs3boVpaWl0Ov1SE9PR0REBBITEzvsW1RUhDNnzsBgMMBoNOLw4cPYtm0b5s6d26PzOZtWZ+AoZSIi2NCHAABpaWkQBAGpqamoq6tDYmIiMjIyIJVKkZeXh2XLliE3NxcqlQoVFRVIT09HeXk5ZDIZVCoVnn76aSxevNim8/U2QW/AQLYQiIggMbfey3FD9nYqG5tMeCL9IBZMGYb5k4c5sGR9Gzv07Mc6tA/rzz4u61TuzwR9y6A03jIiIhJ3IFjmMeItIyIikQeCnoFARNRK3IHAmU6JiCzEHQicx4iIyELUgSDoGuHlIYWPl8zVRSEicjlRB4JWb4BigBckEomri0JE5HLiDgSdgf0HREQtxB0IegOfMCIiaiHuQOA8RkREFqINBLPZDEHfiIEMBCIiACIOBH2DEU0mMx85JSJqIdpA4KA0IqL2GAhsIRARARBzILTOdMpAICICIOZAsNwyYiAQEQEiDwSJBPDzZR8CEREg4kAQ9AYofD0hlXLaCiIiQMSBoNU3clAaEVEb4g0EHaetICJqS7yBoDewQ5mIqA3xBoLOAMUAdigTEbUSZSAYGptQb2jiPEZERG2IMhCElkFpnMeIiOgnogyE1rWU2alMRPQTmwLBZDJh06ZNSElJgVqtxtKlS6HRaKweV1hYiLi4ODz66KPtXn/uuecQFxcHtVpt+UtPT+/ZJ+gBjlImIurIw5adtmzZgpycHGRmZiI4OBgbN27E8uXLsXv3bkilnWdKQ0MDnn/+eSQlJaGpqanD9nnz5mHjxo32lb6HfprYjp3KREStbGohZGVlIS0tDZGRkZDL5Vi9ejVKS0uRn59/y2Nee+01TJw4EYmJiQ4rrKO03jLiwDQiop9YDQRBEKDRaBAfH295TalUIjw8HMXFxZ0ec/z4cRw4cAArVqy45Xn379+P5ORkzJw5Ey+99BKuX7/eg+L3jKBvhLeXDN6esl57TyKivs7qLaPa2loAzSHQlkKhsGxrS6fTYc2aNdiwYQN8fX07PeeSJUuwcuVKDBo0CGVlZVi7di2efPJJZGVlQSKxfW6hwEA/m/dtq8Fohr/CG0FBih4d3x+I+bM7CuvQPqw/+zij/qwGgp9f84+uIAjtXhcEwbKtrVdeeQXTpk1DUlLSLc/ZtrUxdOhQrF+/HtOmTcOFCxcwbNgwmwtfVVULk8ls8/6tKqt1kPt4oLJSsL5zPxQUpBDtZ3cU1qF9WH/26Wn9SaWSLi+krQaCQqFAaGgoCgsLMXr0aADNYXDp0iXExMR02P/QoUPQarXYs2cPAKC+vh5GoxHJycn44IMPEBYW1uGY1laB2dz9H/ee0OoMCLqt89YLEZFY2fSU0aJFi7B161ZMnDgRwcHBSE9PR0RERKcdxu+99167p4q2bduGkydP4s9//jOCgoLQ0NCAAwcOYPLkyVAoFNBoNFi7di3i4uIQERHhsA/WFa2+EVGhA3vlvYiI3IVNgZCWlgZBEJCamoq6ujokJiYiIyMDUqkUeXl5WLZsGXJzc6FSqRAUFNTuWD8/P3h5eSEkJAQAYDAYsGPHDrz00kswGAzw9/fHlClTsH79+ls+wupIJrO5eS0EDkojImpHYu6t+zRO0JM+BK3egKf/cgg/nzUSdyUOcVLJ+jbev7Uf69A+rD/7OKsPQXRTVwgtg9I40ykRUXuiC4SfRinzlhERUVuiCwRPDxk8ZBLc7s+njIiI2rKpU7k/iQpV4s//Zwp8vUX30YmIuiS6FoJEImEYEBF1QnSBQEREnWMgEBERAAYCERG1YCAQEREABgIREbVgIBAREQA3H4cgldq+mA61x7qzH+vQPqw/+/Sk/qwd49aT2xERkePwlhEREQFgIBARUQsGAhERAWAgEBFRCwYCEREBYCAQEVELBgIREQFgIBARUQsGAhERAWAgEBFRCwaCSLzxxhuIiYmBWq22/K1YscLVxerTcnNzkZqaioSEBERHR3fYfvbsWSxatAhjx47F9OnTsWPHDheUsu+yVn/R0dEYM2ZMu+/kt99+64KS9j3p6emYO3cuEhIScMcdd2DNmjWorq5ut48zvn9uPbkddc/48eOxc+dOVxfDbSiVSqSmpqK+vh4vvPBCu221tbVIS0tDamoq/vGPf6C4uBhPPPEEbr/9dtxzzz0uKnHf0lX9tdq8eTOSk5N7uWR9n0wmQ3p6OkaMGAGtVovVq1fj+eefx5tvvgnAed8/thCIbmHKlCm47777EBYW1mHbvn37IJVK8etf/xre3t4YN24cFi5ciHfffdcFJe2buqo/6tqKFSsQGxsLT09PBAYG4tFHH8WxY8cs2531/WMgiEhhYSEmTpyIGTNmYOXKlSgrK3N1kdzWuXPnEBsbC6n0p39C8fHxOHfunAtL5X5WrlyJ5ORkPPDAA3j//fddXZw+68iRIxg1apTl/531/eMtI5GYPXs2HnzwQahUKly7dg2vvvoqHn/8cezevRtyudzVxXM7tbW1UCgU7V5TKpWora11UYncz/bt26FWqyGVSnH06FGsWrUKRqMRqampri5an7J3717s2rULmZmZltec9f1jC0EkRo4cidDQUEgkEgQHB2P9+vWorKxEQUGBq4vmlvz8/Dr849NqtfDz83NRidzPpEmT4OPjAy8vL0ydOhWPPfYYsrOzXV2sPiU3Nxd/+MMfkJGRgbi4OMvrzvr+MRBESiKRQCKRgOsj9cyoUaNw9uxZmEwmy2tFRUXtmvXUPVKplN/HNnbt2oW1a9fizTffxMSJE9ttc9b3j4EgEnv37sX169cBAFVVVXjxxRcREBAAtVrt4pL1XU1NTWhoaEBjYyMAoKGhAQ0NDTCZTLj77rvR1NSEjIwMGAwGnD59Grt27cLixYtdXOq+o6v6KyoqwpkzZ2AwGGA0GnH48GFs27YNc+fOdXGp+4YdO3bgT3/6E7Zu3YrExMQO2531/eMSmiKxfPlynDx5EnV1dVAqlUhKSsJvf/tbhIeHu7pofdaHH36I559/vsPrO3bsQHJyMs6ePYu1a9eiuLgY/v7+WLp0KX7xi1+4oKR9U1f1p9PpkJ6ejvLycshkMqhUKixevJiB2iI6OhoeHh7w8vJq93pubi5UKhUAOOX7x0AgIiIAvGVEREQtGAhERASAgUBERC0YCEREBICBQERELRgIREQEgIFAREQtGAhERASAgUBERC3+PwiWW54K0+I+AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.lineplot(depth, acc)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### As it can be noticed, max_depth = 3 is the optimal tree depth in our case."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Extract rules from a tree of max_depth = 3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "y = df.Class\n",
    "X = df.drop('Class', axis=1)\n",
    "\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=1)\n",
    "\n",
    "clf = DecisionTreeClassifier(max_depth=3)\n",
    "clf = clf.fit(X_train, y_train)\n",
    "y_pred = clf.predict(X_test)\n",
    "depth.append(i)\n",
    "acc.append(metrics.accuracy_score(y_test, y_pred))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "|--- StudentAbsenceDays <= 1.50\n",
      "|   |--- Relation <= 0.50\n",
      "|   |   |--- raisedhands <= 1.06\n",
      "|   |   |   |--- class: 1\n",
      "|   |   |--- raisedhands >  1.06\n",
      "|   |   |   |--- class: 3\n",
      "|   |--- Relation >  0.50\n",
      "|   |   |--- VisITedResources <= 0.02\n",
      "|   |   |   |--- class: 1\n",
      "|   |   |--- VisITedResources >  0.02\n",
      "|   |   |   |--- class: 3\n",
      "|--- StudentAbsenceDays >  1.50\n",
      "|   |--- AnnouncementsView <= -0.26\n",
      "|   |   |--- ParentAnsweringSurvey <= 0.50\n",
      "|   |   |   |--- class: 2\n",
      "|   |   |--- ParentAnsweringSurvey >  0.50\n",
      "|   |   |   |--- class: 2\n",
      "|   |--- AnnouncementsView >  -0.26\n",
      "|   |   |--- ParentAnsweringSurvey <= 0.50\n",
      "|   |   |   |--- class: 2\n",
      "|   |   |--- ParentAnsweringSurvey >  0.50\n",
      "|   |   |   |--- class: 1\n",
      "\n"
     ]
    }
   ],
   "source": [
    "text_representation = tree.export_text(clf, feature_names=list(df.columns[:-1]))\n",
    "print(text_representation)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "feature_cols = list(X.columns)\n",
    "dot_data = StringIO()\n",
    "export_graphviz(clf, out_file=dot_data,  \n",
    "                filled=True, rounded=True,\n",
    "                special_characters=True,feature_names = feature_cols,class_names=['1', '2', '3'])\n",
    "graph = pydotplus.graph_from_dot_data(dot_data.getvalue())  \n",
    "graph.write_png('tree.png')\n",
    "Image(graph.create_png())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.tree import _tree\n",
    "\n",
    "def tree_to_code(tree, feature_names):\n",
    "    tree_ = tree.tree_\n",
    "    feature_name = [\n",
    "        feature_names[i] if i != _tree.TREE_UNDEFINED else \"undefined!\"\n",
    "        for i in tree_.feature\n",
    "    ]\n",
    "    feature_names = [f.replace(\" \", \"_\")[:-5] for f in feature_names]\n",
    "    print(\"def predict({}):\".format(\", \".join(feature_names)))\n",
    "\n",
    "    def recurse(node, depth):\n",
    "        indent = \"    \" * depth\n",
    "        if tree_.feature[node] != _tree.TREE_UNDEFINED:\n",
    "            name = feature_name[node]\n",
    "            threshold = tree_.threshold[node]\n",
    "            print(\"{}if {} <= {}:\".format(indent, name, np.round(threshold,2)))\n",
    "            recurse(tree_.children_left[node], depth + 1)\n",
    "            print(\"{}else:  # if {} > {}\".format(indent, name, np.round(threshold,2)))\n",
    "            recurse(tree_.children_right[node], depth + 1)\n",
    "        else:\n",
    "            print(\"{}return {}\".format(indent, tree_.value[node]))\n",
    "\n",
    "    recurse(0, 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_rules(tree, feature_names, class_names):\n",
    "    tree_ = tree.tree_\n",
    "    feature_name = [\n",
    "        feature_names[i] if i != _tree.TREE_UNDEFINED else \"undefined!\"\n",
    "        for i in tree_.feature\n",
    "    ]\n",
    "\n",
    "    paths = []\n",
    "    path = []\n",
    "    \n",
    "    def recurse(node, path, paths):\n",
    "        \n",
    "        if tree_.feature[node] != _tree.TREE_UNDEFINED:\n",
    "            name = feature_name[node]\n",
    "            threshold = tree_.threshold[node]\n",
    "            p1, p2 = list(path), list(path)\n",
    "            p1 += [f\"({name} <= {np.round(threshold, 3)})\"]\n",
    "            recurse(tree_.children_left[node], p1, paths)\n",
    "            p2 += [f\"({name} > {np.round(threshold, 3)})\"]\n",
    "            recurse(tree_.children_right[node], p2, paths)\n",
    "        else:\n",
    "            path += [(tree_.value[node], tree_.n_node_samples[node])]\n",
    "            paths += [path]\n",
    "            \n",
    "    recurse(0, path, paths)\n",
    "\n",
    "    samples_count = [p[-1][1] for p in paths]\n",
    "    ii = list(np.argsort(samples_count))\n",
    "    paths = [paths[i] for i in reversed(ii)]\n",
    "    \n",
    "    rules = []\n",
    "    for path in paths:\n",
    "        rule = \"if \"\n",
    "        \n",
    "        for p in path[:-1]:\n",
    "            if rule != \"if \":\n",
    "                rule += \" and \"\n",
    "            rule += str(p)\n",
    "        rule += \" then \"\n",
    "        if class_names is None:\n",
    "            rule += \"response: \"+str(np.round(path[-1][0][0][0],3))\n",
    "        else:\n",
    "            classes = path[-1][0][0]\n",
    "            l = np.argmax(classes)\n",
    "            rule += f\"class: {class_names[l]} (proba: {np.round(100.0*classes[l]/np.sum(classes),2)}%)\"\n",
    "        rule += f\" | based on {path[-1][1]:,} samples\"\n",
    "        rules += [rule]\n",
    "        \n",
    "    return rules"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "if (StudentAbsenceDays <= 1.5) and (Relation <= 0.5) and (raisedhands <= 1.06) then class: 1 (proba: 71.28%) | based on 94 samples\n",
      "if (StudentAbsenceDays <= 1.5) and (Relation > 0.5) and (VisITedResources > 0.016) then class: 2 (proba: 72.62%) | based on 84 samples\n",
      "if (StudentAbsenceDays > 1.5) and (AnnouncementsView <= -0.264) and (ParentAnsweringSurvey <= 0.5) then class: 1 (proba: 91.8%) | based on 61 samples\n",
      "if (StudentAbsenceDays > 1.5) and (AnnouncementsView > -0.264) and (ParentAnsweringSurvey > 0.5) then class: 1 (proba: 82.35%) | based on 34 samples\n",
      "if (StudentAbsenceDays > 1.5) and (AnnouncementsView <= -0.264) and (ParentAnsweringSurvey > 0.5) then class: 1 (proba: 65.52%) | based on 29 samples\n",
      "if (StudentAbsenceDays > 1.5) and (AnnouncementsView > -0.264) and (ParentAnsweringSurvey <= 0.5) then class: 1 (proba: 60.71%) | based on 28 samples\n",
      "if (StudentAbsenceDays <= 1.5) and (Relation > 0.5) and (VisITedResources <= 0.016) then class: 1 (proba: 57.14%) | based on 28 samples\n",
      "if (StudentAbsenceDays <= 1.5) and (Relation <= 0.5) and (raisedhands > 1.06) then class: 2 (proba: 59.09%) | based on 22 samples\n"
     ]
    }
   ],
   "source": [
    "rules = get_rules(clf, list(df.columns[:-1]), list(df[\"Class\"]))\n",
    "for r in rules:\n",
    "    print(r)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "           1       0.69      0.58      0.63        43\n",
      "           2       0.64      0.89      0.74        18\n",
      "           3       0.74      0.74      0.74        35\n",
      "\n",
      "    accuracy                           0.70        96\n",
      "   macro avg       0.69      0.74      0.71        96\n",
      "weighted avg       0.70      0.70      0.69        96\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(classification_report(y_test, y_pred))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x360 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cm = confusion_matrix(y_test, y_pred)\n",
    "\n",
    "plt.figure(figsize=(7,5))\n",
    "\n",
    "ax = sns.heatmap(cm/np.sum(cm),fmt='.2%', annot=True, cmap='Blues')\n",
    "\n",
    "ax.set_xlabel('\\nPredicted Values')\n",
    "ax.set_ylabel('Actual Values ');\n",
    "\n",
    "ax.xaxis.set_ticklabels(['1', '2', '3'])\n",
    "ax.yaxis.set_ticklabels(['1', '2', '3'])\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Check CART accuracy using Snorkel"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Convert dataframe data into text"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [],
   "source": [
    "attributes = list(df.columns)\n",
    "text = ''\n",
    "test_set_size = 0.2\n",
    "\n",
    "for x in range(round(476*test_set_size)):\n",
    "    row = np.array(df.loc[[x]])[0]\n",
    "    for i in range(len(row) - 1):\n",
    "        text += str(attributes[i]) + ' ' + str(row[i]) + ' '\n",
    "    text += '\\n'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [],
   "source": [
    "text_file = open(\"education_in_text.txt\", \"w\")\n",
    " \n",
    "text_file.write(text)\n",
    " \n",
    "text_file.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [],
   "source": [
    "read_file = pd.read_csv (r'education_in_text.txt')\n",
    "read_file.to_csv (r'education_in_csv.csv', index=None)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [],
   "source": [
    "MID = 1\n",
    "LOW = 2\n",
    "HIGH = 3\n",
    "\n",
    "df_snorkel = pd.read_csv('education_in_csv.csv', sep='\\t', header=None, names=['text'])\n",
    "df_snorkel['old_label'] = df.Class\n",
    "df_snorkel.drop(df_snorkel[df_snorkel.old_label.isna()].index, inplace=True)\n",
    "Y = np.array(df_snorkel['old_label'])\n",
    "\n",
    "df_snorkel['label'] = -1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [],
   "source": [
    "abstain_idx = df_snorkel.label == -1\n",
    "\n",
    "df_train = df_snorkel[abstain_idx]\n",
    "df_test = df_snorkel[~abstain_idx]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [],
   "source": [
    "@labeling_function()\n",
    "def mid1(sms):\n",
    "    l = sms.text.split()\n",
    "    if ('StudentAbsenceDays' in l and float(l[l.index('StudentAbsenceDays') + 1]) <= 1.5) and ('Relation' in l and float(l[l.index('Relation') + 1]) <= 0.5) and ('raisedhands' in l and float(l[l.index('Relation') + 1]) <= 1.06):\n",
    "        return MID\n",
    "    else:\n",
    "        return -1\n",
    "\n",
    "@labeling_function()\n",
    "def low1(sms):\n",
    "    l = sms.text.split()\n",
    "    if ('StudentAbsenceDays' in l and float(l[l.index('StudentAbsenceDays') + 1]) <= 1.5) and ('Relation' in l and float(l[l.index('Relation') + 1]) > 0.5) and ('VisITedResources' in l and float(l[l.index('Relation') + 1]) > 0.016):\n",
    "        return LOW\n",
    "    else:\n",
    "        return -1\n",
    "\n",
    "@labeling_function()\n",
    "def mid2(sms):\n",
    "    l = sms.text.split()\n",
    "    if ('StudentAbsenceDays' in l and float(l[l.index('StudentAbsenceDays') + 1]) > 1.5) and ('AnnouncementsView' in l and float(l[l.index('AnnouncementsView') + 1]) <= -0.264) and ('ParentAnsweringSurvey' in l and float(l[l.index('ParentAnsweringSurvey') + 1]) <= 0.5):\n",
    "        return MID\n",
    "    else:\n",
    "        return -1\n",
    "    \n",
    "@labeling_function()\n",
    "def mid3(sms):\n",
    "    l = sms.text.split()\n",
    "    if ('StudentAbsenceDays' in l and float(l[l.index('StudentAbsenceDays') + 1]) > 1.5) and ('AnnouncementsView' in l and float(l[l.index('AnnouncementsView') + 1]) > -0.264) and ('ParentAnsweringSurvey' in l and float(l[l.index('ParentAnsweringSurvey') + 1]) > 0.5):\n",
    "        return MID\n",
    "    else:\n",
    "        return -1\n",
    "    \n",
    "@labeling_function()\n",
    "def mid4(sms):\n",
    "    l = sms.text.split()\n",
    "    if ('StudentAbsenceDays' in l and float(l[l.index('StudentAbsenceDays') + 1]) > 1.5) and ('AnnouncementsView' in l and float(l[l.index('AnnouncementsView') + 1]) > -0.264) and ('ParentAnsweringSurvey' in l and float(l[l.index('ParentAnsweringSurvey') + 1]) <= 0.5):\n",
    "        return MID\n",
    "    else:\n",
    "        return -1\n",
    "    \n",
    "@labeling_function()\n",
    "def mid5(sms):\n",
    "    l = sms.text.split()\n",
    "    if ('StudentAbsenceDays' in l and float(l[l.index('StudentAbsenceDays') + 1]) <= 1.5) and ('VisITedResources' in l and float(l[l.index('VisITedResources') + 1]) <= 0.016):\n",
    "        return MID\n",
    "    else:\n",
    "        return -1\n",
    "    \n",
    "@labeling_function()\n",
    "def low2(sms):\n",
    "    l = sms.text.split()\n",
    "    if ('StudentAbsenceDays' in l and float(l[l.index('StudentAbsenceDays') + 1]) <= 1.5) and ('Relation' in l and float(l[l.index('Relation') + 1]) <= 0.5) and ('raisedhands' in l and float(l[l.index('raisedhands') + 1]) > 1.06):\n",
    "        return LOW\n",
    "    else:\n",
    "        return -1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|█████████████████████████████████████████| 95/95 [00:00<00:00, 6389.76it/s]\n"
     ]
    }
   ],
   "source": [
    "lfs = [mid1, mid2, mid3, mid4, mid5, low1, low2]\n",
    "\n",
    "applier = PandasLFApplier(lfs=lfs)\n",
    "L_train = applier.apply(df=df_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>j</th>\n",
       "      <th>Polarity</th>\n",
       "      <th>Coverage</th>\n",
       "      <th>Overlaps</th>\n",
       "      <th>Conflicts</th>\n",
       "      <th>Correct</th>\n",
       "      <th>Incorrect</th>\n",
       "      <th>Emp. Acc.</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>mid1</th>\n",
       "      <td>0</td>\n",
       "      <td>[1]</td>\n",
       "      <td>0.389474</td>\n",
       "      <td>0.252632</td>\n",
       "      <td>0.010526</td>\n",
       "      <td>26</td>\n",
       "      <td>11</td>\n",
       "      <td>0.702703</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mid2</th>\n",
       "      <td>1</td>\n",
       "      <td>[1]</td>\n",
       "      <td>0.284211</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>4</td>\n",
       "      <td>23</td>\n",
       "      <td>0.148148</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mid3</th>\n",
       "      <td>2</td>\n",
       "      <td>[1]</td>\n",
       "      <td>0.021053</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mid4</th>\n",
       "      <td>3</td>\n",
       "      <td>[1]</td>\n",
       "      <td>0.042105</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mid5</th>\n",
       "      <td>4</td>\n",
       "      <td>[1]</td>\n",
       "      <td>0.273684</td>\n",
       "      <td>0.273684</td>\n",
       "      <td>0.031579</td>\n",
       "      <td>19</td>\n",
       "      <td>7</td>\n",
       "      <td>0.730769</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>low1</th>\n",
       "      <td>5</td>\n",
       "      <td>[2]</td>\n",
       "      <td>0.115789</td>\n",
       "      <td>0.031579</td>\n",
       "      <td>0.031579</td>\n",
       "      <td>0</td>\n",
       "      <td>11</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>low2</th>\n",
       "      <td>6</td>\n",
       "      <td>[2]</td>\n",
       "      <td>0.010526</td>\n",
       "      <td>0.010526</td>\n",
       "      <td>0.010526</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      j Polarity  Coverage  Overlaps  Conflicts  Correct  Incorrect  Emp. Acc.\n",
       "mid1  0      [1]  0.389474  0.252632   0.010526       26         11   0.702703\n",
       "mid2  1      [1]  0.284211  0.000000   0.000000        4         23   0.148148\n",
       "mid3  2      [1]  0.021053  0.000000   0.000000        0          2   0.000000\n",
       "mid4  3      [1]  0.042105  0.000000   0.000000        2          2   0.500000\n",
       "mid5  4      [1]  0.273684  0.273684   0.031579       19          7   0.730769\n",
       "low1  5      [2]  0.115789  0.031579   0.031579        0         11   0.000000\n",
       "low2  6      [2]  0.010526  0.010526   0.010526        0          1   0.000000"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "LFAnalysis(L=L_train, lfs=lfs).lf_summary(Y=Y)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## **Conclusion:** According to the empirical accuracies of each rule presented above, the following rules were found the most effective:\n",
    "\n",
    "- if (StudentAbsenceDays <= 1.5) and (Relation <= 0.5) and (raisedhands <= 1.06) then class: 1 | based on 94 samples\n",
    "- if (StudentAbsenceDays > 1.5) and (AnnouncementsView > -0.264) and (ParentAnsweringSurvey > 0.5) then class: 1 | based on 34 samples\n",
    "- if (StudentAbsenceDays > 1.5) and (AnnouncementsView <= -0.264) and (ParentAnsweringSurvey > 0.5) then class: 1 | based on 29 samples\n",
    "\n",
    "### whereas the rest of the rules are of really poor accuracy."
   ]
  }
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