Criteria Specific Rule mining on Smoker.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Based on different criteria specific rule  mining"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Data Processing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# importing libraries and some rows-cols customization\n",
    "\n",
    "import numpy as np \n",
    "import pandas as pd \n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "pd.set_option('display.max_column',50)\n",
    "pd.set_option('display.max_rows',20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Loading the dataset\n",
    "\n",
    "data = pd.read_excel('Survey On Addiction to Smoking.xlsx')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# create index column\n",
    "\n",
    "col_data = data.index.values+1\n",
    "data.insert( 0, column=\"index\",value = col_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>index</th>\n",
       "      <th>gender?</th>\n",
       "      <th>smoker?</th>\n",
       "      <th>smoke first time age?</th>\n",
       "      <th>academic performance started smoking?</th>\n",
       "      <th>attachment to school started smoking?</th>\n",
       "      <th>self-regulation skills started smoking?</th>\n",
       "      <th>allow watch age-restricted movies?</th>\n",
       "      <th>influnce tobacco advertisements?</th>\n",
       "      <th>favorite ﬁlm star smokes on screen?</th>\n",
       "      <th>smoking scenes in ﬁlm?</th>\n",
       "      <th>watching people smoking?</th>\n",
       "      <th>watching family member is smoking?</th>\n",
       "      <th>starting cigarette smoking?</th>\n",
       "      <th>personality characteristics?</th>\n",
       "      <th>continuing cigarette smoking?</th>\n",
       "      <th>Smoking helps?</th>\n",
       "      <th>do your family know smoking status?</th>\n",
       "      <th>do your family monitor about your smoking habit?</th>\n",
       "      <th>Should student smoke?</th>\n",
       "      <th>any trouble in school?</th>\n",
       "      <th>curiosity about smoking?</th>\n",
       "      <th>intention to smoke in future?</th>\n",
       "      <th>influence other for smoking?</th>\n",
       "      <th>guardians educational level?</th>\n",
       "      <th>educational status when you started?</th>\n",
       "      <th>reasons or influences of start smoking?</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>Male</td>\n",
       "      <td>Yes</td>\n",
       "      <td>16-19</td>\n",
       "      <td>Very Good academic performance</td>\n",
       "      <td>Excellent attachment to school when started</td>\n",
       "      <td>Excellent self-regulation skills while starting</td>\n",
       "      <td>allow watch age-restriction movies</td>\n",
       "      <td>influnce tobacco advertisement</td>\n",
       "      <td>influnce by favorite ﬁlm star smokes on screen</td>\n",
       "      <td>don't influnce by smoking scenes in ﬁlm</td>\n",
       "      <td>influnce by watching people smoking</td>\n",
       "      <td>don't influnce by watching family member is sm...</td>\n",
       "      <td>Friend’s influence, Outsiders, Personal Interest</td>\n",
       "      <td>Impulsivity,Sensation-seeking</td>\n",
       "      <td>Mental depression, Bad family relations, Frien...</td>\n",
       "      <td>Sadness, Depression, Working pressure, To feel...</td>\n",
       "      <td>family don't know smoking status</td>\n",
       "      <td>family don't monitor smoking habit</td>\n",
       "      <td>student shouldn't smoke</td>\n",
       "      <td>have trouble in school</td>\n",
       "      <td>have curiosity about smoking</td>\n",
       "      <td>have intention to smoke in future</td>\n",
       "      <td>want to influnces others for smoking</td>\n",
       "      <td>College/university/tertiary</td>\n",
       "      <td>Secondary</td>\n",
       "      <td>Peer influence, Family influence, To feel matu...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>Male</td>\n",
       "      <td>Yes</td>\n",
       "      <td>19-25</td>\n",
       "      <td>Very Good academic performance</td>\n",
       "      <td>Excellent attachment to school when started</td>\n",
       "      <td>Excellent self-regulation skills while starting</td>\n",
       "      <td>allow watch age-restriction movies</td>\n",
       "      <td>not influnce tobacco advertisement</td>\n",
       "      <td>influnce by favorite ﬁlm star smokes on screen</td>\n",
       "      <td>don't influnce by smoking scenes in ﬁlm</td>\n",
       "      <td>don't influnce by watching people smoking</td>\n",
       "      <td>don't influnce by watching family member is sm...</td>\n",
       "      <td>Personal Interest</td>\n",
       "      <td>Family influence</td>\n",
       "      <td>Difficulties in relationship with girlfriend</td>\n",
       "      <td>To feel cool</td>\n",
       "      <td>family don't know smoking status</td>\n",
       "      <td>family monitor smoking habit</td>\n",
       "      <td>student shouldn't smoke</td>\n",
       "      <td>don't have trouble in school</td>\n",
       "      <td>don't have curiosity about smoking</td>\n",
       "      <td>don't have intention to smoke in future</td>\n",
       "      <td>don't influnces others for smoking</td>\n",
       "      <td>College/university/tertiary</td>\n",
       "      <td>Secondary</td>\n",
       "      <td>Watching TV/Cinema, To feel mature</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>Male</td>\n",
       "      <td>Yes</td>\n",
       "      <td>16-19</td>\n",
       "      <td>Very Good academic performance</td>\n",
       "      <td>Very Good attachment to school when started</td>\n",
       "      <td>Poor self-regulation skills while starting</td>\n",
       "      <td>allow watch age-restriction movies</td>\n",
       "      <td>not influnce tobacco advertisement</td>\n",
       "      <td>don't influnce by favorite ﬁlm star smokes on ...</td>\n",
       "      <td>influnce by smoking scenes in ﬁlm</td>\n",
       "      <td>influnce by watching people smoking</td>\n",
       "      <td>don't influnce by watching family member is sm...</td>\n",
       "      <td>Friend’s influence</td>\n",
       "      <td>Risk-taking propensity, Problematic interperso...</td>\n",
       "      <td>Mental depression, Difficulties in relationshi...</td>\n",
       "      <td>Sadness, Loneliness, Depression, Working pressure</td>\n",
       "      <td>family don't know smoking status</td>\n",
       "      <td>family don't monitor smoking habit</td>\n",
       "      <td>student should smoke</td>\n",
       "      <td>have trouble in school</td>\n",
       "      <td>don't have curiosity about smoking</td>\n",
       "      <td>have intention to smoke in future</td>\n",
       "      <td>don't influnces others for smoking</td>\n",
       "      <td>College/university/tertiary</td>\n",
       "      <td>Secondary</td>\n",
       "      <td>To feel mature</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>19-25</td>\n",
       "      <td>Very Good academic performance</td>\n",
       "      <td>Excellent attachment to school when started</td>\n",
       "      <td>Very Good self-regulation skills while starting</td>\n",
       "      <td>allow watch age-restriction movies</td>\n",
       "      <td>not influnce tobacco advertisement</td>\n",
       "      <td>influnce by favorite ﬁlm star smokes on screen</td>\n",
       "      <td>influnce by smoking scenes in ﬁlm</td>\n",
       "      <td>influnce by watching people smoking</td>\n",
       "      <td>don't influnce by watching family member is sm...</td>\n",
       "      <td>Friend’s influence</td>\n",
       "      <td>Self esteem</td>\n",
       "      <td>Mental depression, Friend Circle</td>\n",
       "      <td>Loneliness</td>\n",
       "      <td>family don't know smoking status</td>\n",
       "      <td>family monitor smoking habit</td>\n",
       "      <td>student shouldn't smoke</td>\n",
       "      <td>don't have trouble in school</td>\n",
       "      <td>don't have curiosity about smoking</td>\n",
       "      <td>don't have intention to smoke in future</td>\n",
       "      <td>don't influnces others for smoking</td>\n",
       "      <td>College/university/tertiary</td>\n",
       "      <td>Secondary</td>\n",
       "      <td>Watching TV/Cinema, To follow senior in locality</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>19-25</td>\n",
       "      <td>Very Good academic performance</td>\n",
       "      <td>Very Good attachment to school when started</td>\n",
       "      <td>Excellent self-regulation skills while starting</td>\n",
       "      <td>don't allow watch age-restriction movies</td>\n",
       "      <td>not influnce tobacco advertisement</td>\n",
       "      <td>don't influnce by favorite ﬁlm star smokes on ...</td>\n",
       "      <td>don't influnce by smoking scenes in ﬁlm</td>\n",
       "      <td>don't influnce by watching people smoking</td>\n",
       "      <td>don't influnce by watching family member is sm...</td>\n",
       "      <td>Friend’s influence</td>\n",
       "      <td>Impulsivity,Sensation-seeking, Problematic int...</td>\n",
       "      <td>Difficulties in relationship with girlfriend, ...</td>\n",
       "      <td>Sadness, Loneliness, Depression, Working pressure</td>\n",
       "      <td>family don't know smoking status</td>\n",
       "      <td>family don't monitor smoking habit</td>\n",
       "      <td>student shouldn't smoke</td>\n",
       "      <td>don't have trouble in school</td>\n",
       "      <td>have curiosity about smoking</td>\n",
       "      <td>don't have intention to smoke in future</td>\n",
       "      <td>don't influnces others for smoking</td>\n",
       "      <td>College/university/tertiary</td>\n",
       "      <td>None of above</td>\n",
       "      <td>To feel mature, To follow senior in locality, ...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   index gender? smoker? smoke first time age?  \\\n",
       "0      1    Male     Yes                 16-19   \n",
       "1      2    Male     Yes                 19-25   \n",
       "2      3    Male     Yes                 16-19   \n",
       "3      4  Female      No                 19-25   \n",
       "4      5    Male      No                 19-25   \n",
       "\n",
       "  academic performance started smoking?  \\\n",
       "0        Very Good academic performance   \n",
       "1        Very Good academic performance   \n",
       "2        Very Good academic performance   \n",
       "3        Very Good academic performance   \n",
       "4        Very Good academic performance   \n",
       "\n",
       "         attachment to school started smoking?  \\\n",
       "0  Excellent attachment to school when started   \n",
       "1  Excellent attachment to school when started   \n",
       "2  Very Good attachment to school when started   \n",
       "3  Excellent attachment to school when started   \n",
       "4  Very Good attachment to school when started   \n",
       "\n",
       "           self-regulation skills started smoking?  \\\n",
       "0  Excellent self-regulation skills while starting   \n",
       "1  Excellent self-regulation skills while starting   \n",
       "2       Poor self-regulation skills while starting   \n",
       "3  Very Good self-regulation skills while starting   \n",
       "4  Excellent self-regulation skills while starting   \n",
       "\n",
       "         allow watch age-restricted movies?  \\\n",
       "0        allow watch age-restriction movies   \n",
       "1        allow watch age-restriction movies   \n",
       "2        allow watch age-restriction movies   \n",
       "3        allow watch age-restriction movies   \n",
       "4  don't allow watch age-restriction movies   \n",
       "\n",
       "     influnce tobacco advertisements?  \\\n",
       "0      influnce tobacco advertisement   \n",
       "1  not influnce tobacco advertisement   \n",
       "2  not influnce tobacco advertisement   \n",
       "3  not influnce tobacco advertisement   \n",
       "4  not influnce tobacco advertisement   \n",
       "\n",
       "                 favorite ﬁlm star smokes on screen?  \\\n",
       "0     influnce by favorite ﬁlm star smokes on screen   \n",
       "1     influnce by favorite ﬁlm star smokes on screen   \n",
       "2  don't influnce by favorite ﬁlm star smokes on ...   \n",
       "3     influnce by favorite ﬁlm star smokes on screen   \n",
       "4  don't influnce by favorite ﬁlm star smokes on ...   \n",
       "\n",
       "                    smoking scenes in ﬁlm?  \\\n",
       "0  don't influnce by smoking scenes in ﬁlm   \n",
       "1  don't influnce by smoking scenes in ﬁlm   \n",
       "2        influnce by smoking scenes in ﬁlm   \n",
       "3        influnce by smoking scenes in ﬁlm   \n",
       "4  don't influnce by smoking scenes in ﬁlm   \n",
       "\n",
       "                    watching people smoking?  \\\n",
       "0        influnce by watching people smoking   \n",
       "1  don't influnce by watching people smoking   \n",
       "2        influnce by watching people smoking   \n",
       "3        influnce by watching people smoking   \n",
       "4  don't influnce by watching people smoking   \n",
       "\n",
       "                  watching family member is smoking?  \\\n",
       "0  don't influnce by watching family member is sm...   \n",
       "1  don't influnce by watching family member is sm...   \n",
       "2  don't influnce by watching family member is sm...   \n",
       "3  don't influnce by watching family member is sm...   \n",
       "4  don't influnce by watching family member is sm...   \n",
       "\n",
       "                        starting cigarette smoking?  \\\n",
       "0  Friend’s influence, Outsiders, Personal Interest   \n",
       "1                                 Personal Interest   \n",
       "2                                Friend’s influence   \n",
       "3                                Friend’s influence   \n",
       "4                                Friend’s influence   \n",
       "\n",
       "                        personality characteristics?  \\\n",
       "0                      Impulsivity,Sensation-seeking   \n",
       "1                                   Family influence   \n",
       "2  Risk-taking propensity, Problematic interperso...   \n",
       "3                                        Self esteem   \n",
       "4  Impulsivity,Sensation-seeking, Problematic int...   \n",
       "\n",
       "                       continuing cigarette smoking?  \\\n",
       "0  Mental depression, Bad family relations, Frien...   \n",
       "1       Difficulties in relationship with girlfriend   \n",
       "2  Mental depression, Difficulties in relationshi...   \n",
       "3                   Mental depression, Friend Circle   \n",
       "4  Difficulties in relationship with girlfriend, ...   \n",
       "\n",
       "                                      Smoking helps?  \\\n",
       "0  Sadness, Depression, Working pressure, To feel...   \n",
       "1                                       To feel cool   \n",
       "2  Sadness, Loneliness, Depression, Working pressure   \n",
       "3                                         Loneliness   \n",
       "4  Sadness, Loneliness, Depression, Working pressure   \n",
       "\n",
       "  do your family know smoking status?  \\\n",
       "0    family don't know smoking status   \n",
       "1    family don't know smoking status   \n",
       "2    family don't know smoking status   \n",
       "3    family don't know smoking status   \n",
       "4    family don't know smoking status   \n",
       "\n",
       "  do your family monitor about your smoking habit?    Should student smoke?  \\\n",
       "0               family don't monitor smoking habit  student shouldn't smoke   \n",
       "1                     family monitor smoking habit  student shouldn't smoke   \n",
       "2               family don't monitor smoking habit     student should smoke   \n",
       "3                     family monitor smoking habit  student shouldn't smoke   \n",
       "4               family don't monitor smoking habit  student shouldn't smoke   \n",
       "\n",
       "         any trouble in school?            curiosity about smoking?  \\\n",
       "0        have trouble in school        have curiosity about smoking   \n",
       "1  don't have trouble in school  don't have curiosity about smoking   \n",
       "2        have trouble in school  don't have curiosity about smoking   \n",
       "3  don't have trouble in school  don't have curiosity about smoking   \n",
       "4  don't have trouble in school        have curiosity about smoking   \n",
       "\n",
       "             intention to smoke in future?  \\\n",
       "0        have intention to smoke in future   \n",
       "1  don't have intention to smoke in future   \n",
       "2        have intention to smoke in future   \n",
       "3  don't have intention to smoke in future   \n",
       "4  don't have intention to smoke in future   \n",
       "\n",
       "           influence other for smoking? guardians educational level?  \\\n",
       "0  want to influnces others for smoking  College/university/tertiary   \n",
       "1    don't influnces others for smoking  College/university/tertiary   \n",
       "2    don't influnces others for smoking  College/university/tertiary   \n",
       "3    don't influnces others for smoking  College/university/tertiary   \n",
       "4    don't influnces others for smoking  College/university/tertiary   \n",
       "\n",
       "  educational status when you started?  \\\n",
       "0                            Secondary   \n",
       "1                            Secondary   \n",
       "2                            Secondary   \n",
       "3                            Secondary   \n",
       "4                        None of above   \n",
       "\n",
       "             reasons or influences of start smoking?  \n",
       "0  Peer influence, Family influence, To feel matu...  \n",
       "1                 Watching TV/Cinema, To feel mature  \n",
       "2                                     To feel mature  \n",
       "3   Watching TV/Cinema, To follow senior in locality  \n",
       "4  To feel mature, To follow senior in locality, ...  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "482"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# filter out smoker and insert in a new dataframe\n",
    "\n",
    "smoker= data[data['smoker?']=='Yes']\n",
    "# smoker\n",
    "len(smoker)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "False"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Checkign whether there is any null values of not\n",
    "\n",
    "smoker.isnull().values.any()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "====>  index\n",
      "====>  gender?\n",
      "====>  smoker?\n",
      "====>  smoke first time age?\n",
      "====>  academic performance started smoking?\n",
      "====>  attachment to school started smoking?\n",
      "====>  self-regulation skills started smoking?\n",
      "====>  allow watch age-restricted movies?\n",
      "====>  influnce tobacco advertisements?\n",
      "====>  favorite ﬁlm star smokes on screen?\n",
      "====>  smoking scenes in ﬁlm?\n",
      "====>  watching people smoking?\n",
      "====>  watching family member is smoking?\n",
      "====>  starting cigarette smoking?\n",
      "====>  personality characteristics?\n",
      "====>  continuing cigarette smoking?\n",
      "====>  Smoking helps?\n",
      "====>  do your family know smoking status?\n",
      "====>  do your family monitor about your smoking habit?\n",
      "====>  Should student smoke?\n",
      "====>  any trouble in school?\n",
      "====>  curiosity about smoking?\n",
      "====>  intention to smoke in future?\n",
      "====>  influence other for smoking?\n",
      "====>  guardians educational level?\n",
      "====>  educational status when you started?\n",
      "====>  reasons or influences of start smoking?\n"
     ]
    }
   ],
   "source": [
    "for i in smoker.columns:\n",
    "    print('====> ',i)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Rule mining on \" Reasons or influences of starting smoking\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Final data processing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(85,)"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# smoker['reasons or influences of start smoking?'].unique()\n",
    "smoker['reasons or influences of start smoking?'].unique().shape\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-16-a426a2a91267>:1: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\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",
      "  smoker['reasons or influences of start smoking?'] = smoker['reasons or influences of start smoking?'].astype(str)\n",
      "<ipython-input-16-a426a2a91267>:2: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\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",
      "  smoker['index']= smoker['index'].astype(str)\n"
     ]
    }
   ],
   "source": [
    "# final casting data to string\n",
    "\n",
    "smoker['reasons or influences of start smoking?'] = smoker['reasons or influences of start smoking?'].astype(str)\n",
    "smoker['index']= smoker['index'].astype(str)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[['Peer influence',\n",
       "  ' Family influence',\n",
       "  ' To feel mature',\n",
       "  ' To attract girl',\n",
       "  ' Personal Interest'],\n",
       " ['Watching TV/Cinema', ' To feel mature'],\n",
       " ['To feel mature'],\n",
       " ['To follow senior in locality'],\n",
       " ['To follow senior in locality'],\n",
       " ['To feel mature'],\n",
       " ['Watching TV/Cinema'],\n",
       " ['Poor'],\n",
       " ['To follow senior in locality'],\n",
       " ['To feel mature'],\n",
       " ['To attract girl', ' To attract boy'],\n",
       " ['Watching TV/Cinema',\n",
       "  ' To feel mature',\n",
       "  ' Poor performance in class',\n",
       "  ' To follow senior in locality',\n",
       "  ' To attract girl'],\n",
       " ['To feel mature'],\n",
       " ['To attract girl'],\n",
       " ['To follow senior in locality'],\n",
       " ['Watching TV/Cinema'],\n",
       " ['To feel mature', ' To follow senior in locality'],\n",
       " ['To feel mature', ' Personal Interest'],\n",
       " ['To feel mature'],\n",
       " ['To feel mature'],\n",
       " ['Watching TV/Cinema'],\n",
       " ['Personal Interest'],\n",
       " ['Watching TV/Cinema', ' To feel mature', ' To follow senior in locality'],\n",
       " ['Poor'],\n",
       " ['To feel mature', ' To follow senior in locality', ' To attract girl'],\n",
       " ['Watching TV/Cinema', ' To follow senior in locality'],\n",
       " ['To feel mature'],\n",
       " ['To feel mature'],\n",
       " ['To feel mature'],\n",
       " ['To feel mature'],\n",
       " ['To attract girl'],\n",
       " ['To feel mature'],\n",
       " ['Personal Interest'],\n",
       " ['Watching TV/Cinema', ' Peer influence'],\n",
       " ['To attract girl'],\n",
       " ['To feel mature'],\n",
       " ['Watching TV/Cinema'],\n",
       " ['Watching TV/Cinema', ' To feel mature', ' To follow senior in locality'],\n",
       " ['To feel mature'],\n",
       " ['To attract girl'],\n",
       " ['Personal Interest'],\n",
       " ['To attract girl'],\n",
       " ['Watching TV/Cinema'],\n",
       " ['To feel mature'],\n",
       " ['Watching TV/Cinema'],\n",
       " ['Poor performance in class'],\n",
       " ['Family influence', ' To follow senior in locality'],\n",
       " ['To feel mature'],\n",
       " ['Watching TV/Cinema'],\n",
       " ['To follow senior in locality', ' To attract girl'],\n",
       " ['Watching TV/Cinema', ' To feel mature', ' Poor performance in class'],\n",
       " ['Watching TV/Cinema', ' To feel mature', ' To attract girl'],\n",
       " ['Poor performance in class'],\n",
       " ['Watching TV/Cinema'],\n",
       " ['To attract girl'],\n",
       " ['To feel mature'],\n",
       " ['Personal Interest'],\n",
       " ['Watching TV/Cinema',\n",
       "  ' Family influence',\n",
       "  ' To follow senior in locality',\n",
       "  ' To attract girl'],\n",
       " ['Personal Interest'],\n",
       " ['Watching TV/Cinema'],\n",
       " ['To feel mature', ' To attract girl'],\n",
       " ['Personal Interest'],\n",
       " ['Watching TV/Cinema',\n",
       "  ' To feel mature',\n",
       "  ' To follow senior in locality',\n",
       "  ' To attract girl',\n",
       "  ' Personal Interest'],\n",
       " ['To feel mature'],\n",
       " ['Watching TV/Cinema',\n",
       "  ' Poor performance in class',\n",
       "  ' To attract girl',\n",
       "  ' Poor'],\n",
       " ['Personal Interest'],\n",
       " ['To follow senior in locality'],\n",
       " ['To feel mature', ' To follow senior in locality'],\n",
       " ['Watching TV/Cinema'],\n",
       " ['Family influence',\n",
       "  ' To feel mature',\n",
       "  ' To follow senior in locality',\n",
       "  ' To attract girl'],\n",
       " ['To feel mature', ' To attract girl', ' Poor'],\n",
       " ['To feel mature'],\n",
       " ['Poor'],\n",
       " ['To follow senior in locality'],\n",
       " ['Watching TV/Cinema'],\n",
       " ['Watching TV/Cinema',\n",
       "  ' Family influence',\n",
       "  ' To feel mature',\n",
       "  ' To follow senior in locality'],\n",
       " ['Watching TV/Cinema'],\n",
       " ['To follow senior in locality'],\n",
       " ['To follow senior in locality'],\n",
       " ['Watching TV/Cinema'],\n",
       " ['Poor'],\n",
       " ['Family influence', ' To feel mature', ' To attract girl'],\n",
       " ['Family influence', ' To attract girl'],\n",
       " ['Watching TV/Cinema'],\n",
       " ['To feel mature'],\n",
       " ['To follow senior in locality'],\n",
       " ['To feel mature'],\n",
       " ['To feel mature'],\n",
       " ['To attract girl'],\n",
       " ['Poor performance in class', ' Poor'],\n",
       " ['To follow senior in locality'],\n",
       " ['To feel mature'],\n",
       " ['Watching TV/Cinema', ' To attract girl'],\n",
       " ['Watching TV/Cinema'],\n",
       " ['Watching TV/Cinema'],\n",
       " ['Watching TV/Cinema'],\n",
       " ['Poor performance in class'],\n",
       " ['Family influence'],\n",
       " ['Family influence'],\n",
       " ['To attract boy'],\n",
       " ['Family influence'],\n",
       " ['To feel mature'],\n",
       " ['To attract girl'],\n",
       " ['To feel mature'],\n",
       " ['To attract girl'],\n",
       " ['Watching TV/Cinema', ' Family influence'],\n",
       " ['To feel mature', ' To attract girl'],\n",
       " ['To feel mature'],\n",
       " ['To follow senior in locality', ' Poor'],\n",
       " ['Family influence',\n",
       "  ' Poor performance in class',\n",
       "  ' To follow senior in locality',\n",
       "  ' Poor'],\n",
       " ['Family influence'],\n",
       " ['Watching TV/Cinema'],\n",
       " ['Watching TV/Cinema'],\n",
       " ['To feel mature', ' Poor'],\n",
       " ['Watching TV/Cinema', ' Personal Interest'],\n",
       " ['Watching TV/Cinema', ' Personal Interest'],\n",
       " ['Watching TV/Cinema'],\n",
       " ['Watching TV/Cinema',\n",
       "  ' To feel mature',\n",
       "  ' Poor performance in class',\n",
       "  ' To attract girl'],\n",
       " ['To feel mature', ' Personal Interest'],\n",
       " ['Family influence'],\n",
       " ['To feel mature', ' Personal Interest'],\n",
       " ['Watching TV/Cinema'],\n",
       " ['Personal Interest'],\n",
       " ['To feel mature'],\n",
       " ['Watching TV/Cinema'],\n",
       " ['To feel mature'],\n",
       " ['Watching TV/Cinema'],\n",
       " ['Watching TV/Cinema'],\n",
       " ['To follow senior in locality'],\n",
       " ['To feel mature', ' To attract girl'],\n",
       " ['To follow senior in locality'],\n",
       " ['Watching TV/Cinema'],\n",
       " ['To feel mature', ' Personal Interest'],\n",
       " ['Personal Interest'],\n",
       " ['Watching TV/Cinema'],\n",
       " ['Watching TV/Cinema'],\n",
       " ['To attract girl'],\n",
       " ['To follow senior in locality'],\n",
       " ['Watching TV/Cinema'],\n",
       " ['Watching TV/Cinema',\n",
       "  ' Peer influence',\n",
       "  ' Family influence',\n",
       "  ' To feel mature',\n",
       "  ' Poor performance in class',\n",
       "  ' To follow senior in locality',\n",
       "  ' To attract girl',\n",
       "  ' To attract boy',\n",
       "  ' Personal Interest',\n",
       "  ' Poor'],\n",
       " ['Family influence'],\n",
       " ['Watching TV/Cinema'],\n",
       " ['To attract girl'],\n",
       " ['Poor'],\n",
       " ['To attract girl'],\n",
       " ['To feel mature', ' Personal Interest'],\n",
       " ['To feel mature'],\n",
       " ['To follow senior in locality'],\n",
       " ['To follow senior in locality'],\n",
       " ['To follow senior in locality'],\n",
       " ['To attract girl'],\n",
       " ['To feel mature'],\n",
       " ['Family influence',\n",
       "  ' Poor performance in class',\n",
       "  ' To follow senior in locality',\n",
       "  ' To attract girl'],\n",
       " ['To feel mature'],\n",
       " ['To feel mature'],\n",
       " ['To attract girl'],\n",
       " ['Watching TV/Cinema'],\n",
       " ['To feel mature'],\n",
       " ['Family influence', ' To feel mature', ' To attract girl'],\n",
       " ['Family influence'],\n",
       " ['Watching TV/Cinema',\n",
       "  ' To feel mature',\n",
       "  ' To follow senior in locality',\n",
       "  ' To attract girl'],\n",
       " ['Watching TV/Cinema',\n",
       "  ' Peer influence',\n",
       "  ' To feel mature',\n",
       "  ' To attract girl'],\n",
       " ['Watching TV/Cinema', ' To follow senior in locality', ' To attract girl'],\n",
       " ['Personal Interest'],\n",
       " ['Family influence', ' Personal Interest'],\n",
       " ['Family influence', ' Personal Interest'],\n",
       " ['To feel mature'],\n",
       " ['To feel mature'],\n",
       " ['Watching TV/Cinema'],\n",
       " ['Watching TV/Cinema'],\n",
       " ['Watching TV/Cinema'],\n",
       " ['To feel mature'],\n",
       " ['To attract girl'],\n",
       " ['Watching TV/Cinema'],\n",
       " ['To attract girl'],\n",
       " ['To feel mature'],\n",
       " ['To feel mature'],\n",
       " ['Watching TV/Cinema', ' To feel mature'],\n",
       " ['Watching TV/Cinema'],\n",
       " ['Watching TV/Cinema',\n",
       "  ' Family influence',\n",
       "  ' To feel mature',\n",
       "  ' To follow senior in locality',\n",
       "  ' To attract girl'],\n",
       " ['To follow senior in locality'],\n",
       " ['Watching TV/Cinema', ' To feel mature', ' To follow senior in locality'],\n",
       " ['To attract girl', ' To attract boy'],\n",
       " ['Family influence'],\n",
       " ['Poor'],\n",
       " ['Personal Interest'],\n",
       " ['Watching TV/Cinema', ' To feel mature', ' To attract girl'],\n",
       " ['Family influence',\n",
       "  ' To feel mature',\n",
       "  ' To follow senior in locality',\n",
       "  ' To attract girl'],\n",
       " ['Watching TV/Cinema', ' Family influence', ' To attract girl'],\n",
       " ['To attract boy'],\n",
       " ['Watching TV/Cinema'],\n",
       " ['Watching TV/Cinema', ' Family influence', ' To feel mature'],\n",
       " ['To attract girl'],\n",
       " ['Family influence', ' Personal Interest'],\n",
       " ['To feel mature', ' Personal Interest'],\n",
       " ['Personal Interest'],\n",
       " ['Watching TV/Cinema'],\n",
       " ['To follow senior in locality'],\n",
       " ['Personal Interest'],\n",
       " ['Watching TV/Cinema', ' To feel mature'],\n",
       " ['To attract girl'],\n",
       " ['To feel mature'],\n",
       " ['To feel mature'],\n",
       " ['Poor'],\n",
       " ['Watching TV/Cinema',\n",
       "  ' To feel mature',\n",
       "  ' To follow senior in locality',\n",
       "  ' To attract girl',\n",
       "  ' Personal Interest'],\n",
       " ['To feel mature'],\n",
       " ['Poor performance in class'],\n",
       " ['Watching TV/Cinema'],\n",
       " ['Watching TV/Cinema'],\n",
       " ['To feel mature', ' Personal Interest'],\n",
       " ['Watching TV/Cinema',\n",
       "  ' Family influence',\n",
       "  ' To feel mature',\n",
       "  ' To attract girl'],\n",
       " ['To feel mature'],\n",
       " ['Poor performance in class'],\n",
       " ['To feel mature', ' To attract girl'],\n",
       " ['To follow senior in locality'],\n",
       " ['To feel mature'],\n",
       " ['Watching TV/Cinema', ' Personal Interest'],\n",
       " ['To feel mature', ' To attract girl'],\n",
       " ['To feel mature', ' To attract girl'],\n",
       " ['Watching TV/Cinema', ' Family influence', ' To follow senior in locality'],\n",
       " ['To feel mature'],\n",
       " ['Poor performance in class', ' Personal Interest'],\n",
       " ['To follow senior in locality'],\n",
       " ['To feel mature', ' To follow senior in locality'],\n",
       " ['Watching TV/Cinema'],\n",
       " ['To feel mature', ' To follow senior in locality'],\n",
       " ['Watching TV/Cinema', ' To feel mature'],\n",
       " ['Watching TV/Cinema', ' To feel mature', ' To attract girl'],\n",
       " ['To feel mature'],\n",
       " ['Poor performance in class'],\n",
       " ['To feel mature', ' To follow senior in locality'],\n",
       " ['To follow senior in locality'],\n",
       " ['To attract girl'],\n",
       " ['To feel mature', ' To attract girl', ' Personal Interest'],\n",
       " ['To feel mature'],\n",
       " ['To feel mature'],\n",
       " ['To feel mature',\n",
       "  ' Poor performance in class',\n",
       "  ' To follow senior in locality',\n",
       "  ' To attract girl',\n",
       "  ' Personal Interest'],\n",
       " ['To feel mature',\n",
       "  ' Poor performance in class',\n",
       "  ' To attract girl',\n",
       "  ' Personal Interest'],\n",
       " ['Watching TV/Cinema',\n",
       "  ' To feel mature',\n",
       "  ' To attract boy',\n",
       "  ' Personal Interest'],\n",
       " ['Watching TV/Cinema', ' To feel mature', ' Personal Interest'],\n",
       " ['To feel mature', ' To follow senior in locality', ' To attract girl'],\n",
       " ['To feel mature', ' To follow senior in locality', ' Personal Interest'],\n",
       " ['To feel mature', ' Poor performance in class', ' Personal Interest'],\n",
       " ['To feel mature', ' To follow senior in locality', ' Personal Interest'],\n",
       " ['Poor performance in class',\n",
       "  ' To follow senior in locality',\n",
       "  ' Personal Interest'],\n",
       " ['Personal Interest'],\n",
       " ['Poor performance in class', ' To follow senior in locality'],\n",
       " ['To follow senior in locality', ' To attract girl'],\n",
       " ['To feel mature'],\n",
       " ['Personal Interest'],\n",
       " ['To feel mature', ' Poor performance in class', ' To attract girl'],\n",
       " ['To follow senior in locality'],\n",
       " ['To feel mature'],\n",
       " ['To follow senior in locality', ' To attract girl'],\n",
       " ['To feel mature', ' To follow senior in locality'],\n",
       " ['Poor performance in class', ' To follow senior in locality'],\n",
       " ['Watching TV/Cinema', ' To feel mature'],\n",
       " ['Watching TV/Cinema', ' To feel mature'],\n",
       " ['Watching TV/Cinema',\n",
       "  ' To feel mature',\n",
       "  ' Poor performance in class',\n",
       "  ' To follow senior in locality',\n",
       "  ' Personal Interest'],\n",
       " ['To follow senior in locality', ' To attract girl'],\n",
       " ['Watching TV/Cinema', ' To follow senior in locality'],\n",
       " ['To feel mature'],\n",
       " ['To feel mature', ' To follow senior in locality'],\n",
       " ['Watching TV/Cinema',\n",
       "  ' To feel mature',\n",
       "  ' Poor performance in class',\n",
       "  ' To attract girl'],\n",
       " ['Family influence',\n",
       "  ' To feel mature',\n",
       "  ' To follow senior in locality',\n",
       "  ' To attract girl'],\n",
       " ['To feel mature', ' To follow senior in locality', ' To attract girl'],\n",
       " ['Watching TV/Cinema',\n",
       "  ' Family influence',\n",
       "  ' To feel mature',\n",
       "  ' To follow senior in locality'],\n",
       " ['Watching TV/Cinema'],\n",
       " ['Watching TV/Cinema',\n",
       "  ' Peer influence',\n",
       "  ' Family influence',\n",
       "  ' To feel mature',\n",
       "  ' Poor performance in class',\n",
       "  ' To follow senior in locality',\n",
       "  ' To attract girl',\n",
       "  ' To attract boy'],\n",
       " ['Peer influence'],\n",
       " ['To follow senior in locality'],\n",
       " ['To feel mature'],\n",
       " ['To feel mature'],\n",
       " ['To feel mature'],\n",
       " ['To feel mature'],\n",
       " ['Watching TV/Cinema',\n",
       "  ' Peer influence',\n",
       "  ' To feel mature',\n",
       "  ' To follow senior in locality'],\n",
       " ['To feel mature'],\n",
       " ['Watching TV/Cinema'],\n",
       " ['Watching TV/Cinema', ' To attract girl'],\n",
       " ['Watching TV/Cinema'],\n",
       " ['Watching TV/Cinema'],\n",
       " ['Watching TV/Cinema',\n",
       "  ' Peer influence',\n",
       "  ' Family influence',\n",
       "  ' To feel mature',\n",
       "  ' Poor performance in class',\n",
       "  ' To follow senior in locality',\n",
       "  ' To attract girl'],\n",
       " ['To feel mature', ' To attract boy'],\n",
       " ['To follow senior in locality'],\n",
       " ['To feel mature'],\n",
       " ['To feel mature'],\n",
       " ['Watching TV/Cinema',\n",
       "  ' Peer influence',\n",
       "  ' Family influence',\n",
       "  ' To feel mature',\n",
       "  ' Poor performance in class',\n",
       "  ' To follow senior in locality',\n",
       "  ' To attract girl',\n",
       "  ' To attract boy'],\n",
       " ['To feel mature'],\n",
       " ['Watching TV/Cinema',\n",
       "  ' Family influence',\n",
       "  ' To feel mature',\n",
       "  ' To follow senior in locality',\n",
       "  ' To attract girl',\n",
       "  ' To attract boy'],\n",
       " ['Watching TV/Cinema',\n",
       "  ' To feel mature',\n",
       "  ' Poor performance in class',\n",
       "  ' To follow senior in locality',\n",
       "  ' To attract girl'],\n",
       " ['Watching TV/Cinema'],\n",
       " ['Watching TV/Cinema', ' Peer influence', ' To feel mature'],\n",
       " ['To feel mature'],\n",
       " ['Peer influence'],\n",
       " ['To feel mature'],\n",
       " ['To feel mature'],\n",
       " ['To feel mature', ' To follow senior in locality'],\n",
       " ['To feel mature'],\n",
       " ['To feel mature', ' To attract girl'],\n",
       " ['To feel mature'],\n",
       " ['To feel mature'],\n",
       " ['Peer influence'],\n",
       " ['Watching TV/Cinema', ' To feel mature', ' Poor performance in class'],\n",
       " ['Family influence'],\n",
       " ['Peer influence'],\n",
       " ['Watching TV/Cinema', ' Peer influence'],\n",
       " ['Watching TV/Cinema'],\n",
       " ['Watching TV/Cinema',\n",
       "  ' To feel mature',\n",
       "  ' To follow senior in locality',\n",
       "  ' To attract girl'],\n",
       " ['Poor performance in class'],\n",
       " ['To feel mature'],\n",
       " ['Poor performance in class'],\n",
       " ['To feel mature'],\n",
       " ['Peer influence'],\n",
       " ['To follow senior in locality'],\n",
       " ['Peer influence'],\n",
       " ['To attract girl'],\n",
       " ['To feel mature'],\n",
       " ['Peer influence'],\n",
       " ['To attract girl'],\n",
       " ['Watching TV/Cinema'],\n",
       " ['To feel mature'],\n",
       " ['Peer influence'],\n",
       " ['Watching TV/Cinema',\n",
       "  ' To feel mature',\n",
       "  ' To follow senior in locality',\n",
       "  ' To attract girl'],\n",
       " ['Peer influence',\n",
       "  ' Poor performance in class',\n",
       "  ' To follow senior in locality'],\n",
       " ['To feel mature', ' To attract girl'],\n",
       " ['Poor performance in class'],\n",
       " ['To feel mature'],\n",
       " ['To feel mature'],\n",
       " ['Watching TV/Cinema', ' To feel mature'],\n",
       " ['To attract girl'],\n",
       " ['Watching TV/Cinema', ' To feel mature', ' To follow senior in locality'],\n",
       " ['Watching TV/Cinema', ' To feel mature', ' To follow senior in locality'],\n",
       " ['To feel mature'],\n",
       " ['Watching TV/Cinema', ' Peer influence'],\n",
       " ['Peer influence'],\n",
       " ['Watching TV/Cinema'],\n",
       " ['To follow senior in locality'],\n",
       " ['Watching TV/Cinema'],\n",
       " ['Family influence'],\n",
       " ['Watching TV/Cinema',\n",
       "  ' Peer influence',\n",
       "  ' To feel mature',\n",
       "  ' To follow senior in locality'],\n",
       " ['To feel mature', ' To follow senior in locality'],\n",
       " ['Watching TV/Cinema', ' To feel mature', ' To attract girl'],\n",
       " ['Watching TV/Cinema'],\n",
       " ['To feel mature'],\n",
       " ['To feel mature', ' To follow senior in locality', ' To attract girl'],\n",
       " ['Peer influence', ' To follow senior in locality'],\n",
       " ['To feel mature', ' To follow senior in locality'],\n",
       " ['Peer influence', ' To follow senior in locality', ' To attract girl'],\n",
       " ['Watching TV/Cinema', ' To follow senior in locality'],\n",
       " ['Watching TV/Cinema', ' To feel mature', ' To follow senior in locality'],\n",
       " ['Peer influence',\n",
       "  ' Poor performance in class',\n",
       "  ' To follow senior in locality'],\n",
       " ['To follow senior in locality'],\n",
       " ['To attract girl'],\n",
       " ['Watching TV/Cinema'],\n",
       " ['Personal Interest'],\n",
       " ['Personal Interest'],\n",
       " ['Personal Interest'],\n",
       " ['Personal Interest'],\n",
       " ['To feel mature'],\n",
       " ['To feel mature'],\n",
       " ['To attract girl'],\n",
       " ['To attract girl'],\n",
       " ['To feel mature'],\n",
       " ['Poor performance in class'],\n",
       " ['Family influence', ' To attract boy'],\n",
       " ['Watching TV/Cinema', ' To feel mature'],\n",
       " ['To feel mature'],\n",
       " ['To feel mature'],\n",
       " ['To follow senior in locality'],\n",
       " ['Personal Interest'],\n",
       " ['Personal Interest'],\n",
       " ['Personal Interest'],\n",
       " ['Family influence', ' To feel mature'],\n",
       " ['Personal Interest'],\n",
       " ['Watching TV/Cinema', ' To feel mature', ' To attract girl'],\n",
       " ['Watching TV/Cinema', ' To follow senior in locality'],\n",
       " ['Watching TV/Cinema'],\n",
       " ['To follow senior in locality'],\n",
       " ['To feel mature'],\n",
       " ['To attract girl'],\n",
       " ['To follow senior in locality'],\n",
       " ['Personal Interest'],\n",
       " ['To feel mature'],\n",
       " ['To attract girl'],\n",
       " ['Personal Interest'],\n",
       " ['Personal Interest'],\n",
       " ['Personal Interest'],\n",
       " ['Watching TV/Cinema',\n",
       "  ' Peer influence',\n",
       "  ' Family influence',\n",
       "  ' To feel mature',\n",
       "  ' Poor performance in class',\n",
       "  ' To follow senior in locality',\n",
       "  ' To attract girl'],\n",
       " ['Watching TV/Cinema',\n",
       "  ' Peer influence',\n",
       "  ' Family influence',\n",
       "  ' To feel mature',\n",
       "  ' Poor performance in class',\n",
       "  ' To follow senior in locality',\n",
       "  ' To attract girl'],\n",
       " ['Personal Interest'],\n",
       " ['Personal Interest'],\n",
       " ['Personal Interest'],\n",
       " ['Peer influence'],\n",
       " ['Personal Interest'],\n",
       " ['Personal Interest'],\n",
       " ['Personal Interest'],\n",
       " ['Personal Interest'],\n",
       " ['Poor performance in class'],\n",
       " ['Personal Interest'],\n",
       " ['Personal Interest'],\n",
       " ['Personal Interest'],\n",
       " ['Watching TV/Cinema', ' Family influence', ' Personal Interest'],\n",
       " ['Personal Interest'],\n",
       " ['Personal Interest'],\n",
       " ['Personal Interest'],\n",
       " ['Peer influence', ' Personal Interest'],\n",
       " ['To feel mature', ' Personal Interest'],\n",
       " ['To feel mature'],\n",
       " ['Personal Interest'],\n",
       " ['Personal Interest'],\n",
       " ['Personal Interest'],\n",
       " ['To feel mature', ' Personal Interest'],\n",
       " ['Personal Interest'],\n",
       " ['Family influence',\n",
       "  ' Poor performance in class',\n",
       "  ' To attract girl',\n",
       "  ' To attract boy'],\n",
       " ['Personal Interest'],\n",
       " ['Watching TV/Cinema', ' Personal Interest'],\n",
       " ['To feel mature', ' Personal Interest'],\n",
       " ['Personal Interest'],\n",
       " ['Peer influence'],\n",
       " ['Personal Interest'],\n",
       " ['To feel mature', ' To follow senior in locality', ' Personal Interest'],\n",
       " ['Personal Interest'],\n",
       " ['Personal Interest'],\n",
       " ['Personal Interest'],\n",
       " ['Personal Interest'],\n",
       " ['Personal Interest'],\n",
       " ['Watching TV/Cinema', ' Personal Interest'],\n",
       " ['Personal Interest'],\n",
       " ['To feel mature',\n",
       "  ' To follow senior in locality',\n",
       "  ' To attract girl',\n",
       "  ' Personal Interest'],\n",
       " ['Personal Interest'],\n",
       " ['Personal Interest'],\n",
       " ['Poor performance in class'],\n",
       " ['Personal Interest'],\n",
       " ['To feel mature', ' Personal Interest'],\n",
       " ['Personal Interest'],\n",
       " ['Personal Interest'],\n",
       " ['Personal Interest'],\n",
       " ['Personal Interest'],\n",
       " ['Watching TV/Cinema'],\n",
       " ['Personal Interest'],\n",
       " ['To feel mature'],\n",
       " ['Watching TV/Cinema', ' Personal Interest'],\n",
       " ['Watching TV/Cinema', ' Personal Interest'],\n",
       " ['Personal Interest'],\n",
       " ['To feel mature', ' To attract girl', ' Personal Interest'],\n",
       " ['Personal Interest'],\n",
       " ['To feel mature', ' Personal Interest'],\n",
       " ['Personal Interest'],\n",
       " ['Personal Interest'],\n",
       " ['To feel mature', ' Personal Interest'],\n",
       " ['Personal Interest'],\n",
       " ['Peer influence', ' Personal Interest'],\n",
       " ['Personal Interest'],\n",
       " ['Personal Interest'],\n",
       " ['Watching TV/Cinema',\n",
       "  ' Peer influence',\n",
       "  ' To feel mature',\n",
       "  ' To follow senior in locality',\n",
       "  ' To attract girl',\n",
       "  ' Personal Interest'],\n",
       " ['Personal Interest'],\n",
       " ['Personal Interest'],\n",
       " ['Watching TV/Cinema', ' Peer influence', ' Personal Interest'],\n",
       " ['Personal Interest'],\n",
       " ['Personal Interest'],\n",
       " ['Watching TV/Cinema'],\n",
       " ['Personal Interest'],\n",
       " ['Personal Interest'],\n",
       " ['Personal Interest'],\n",
       " ['Watching TV/Cinema',\n",
       "  ' Peer influence',\n",
       "  ' To feel mature',\n",
       "  ' To follow senior in locality',\n",
       "  ' Personal Interest'],\n",
       " ['Watching TV/Cinema',\n",
       "  ' Peer influence',\n",
       "  ' To feel mature',\n",
       "  ' Poor performance in class',\n",
       "  ' To follow senior in locality',\n",
       "  ' To attract girl',\n",
       "  ' Personal Interest',\n",
       "  ' None of above'],\n",
       " ['Peer influence',\n",
       "  ' To feel mature',\n",
       "  ' To follow senior in locality',\n",
       "  ' To attract girl',\n",
       "  ' Personal Interest'],\n",
       " ['Peer influence', ' To feel mature', ' Personal Interest'],\n",
       " ['Personal Interest'],\n",
       " ['Personal Interest'],\n",
       " ['Watching TV/Cinema', ' Peer influence', ' Personal Interest'],\n",
       " ['Personal Interest'],\n",
       " ['Personal Interest'],\n",
       " ['Watching TV/Cinema'],\n",
       " ['Personal Interest'],\n",
       " ['Personal Interest'],\n",
       " ['Personal Interest'],\n",
       " ['Personal Interest'],\n",
       " ['Watching TV/Cinema', ' Personal Interest'],\n",
       " ['Personal Interest'],\n",
       " ['To feel mature',\n",
       "  ' To follow senior in locality',\n",
       "  ' To attract girl',\n",
       "  ' Personal Interest'],\n",
       " ['Personal Interest']]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model_data = list(smoker['reasons or influences of start smoking?'].apply(lambda x:x.split(',')))\n",
    "model_data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Applying Apriori"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "# importing libraries\n",
    "\n",
    "from mlxtend.frequent_patterns import apriori, association_rules\n",
    "from mlxtend.preprocessing import TransactionEncoder"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[ True, False, False, ..., False, False, False],\n",
       "       [False, False, False, ..., False, False,  True],\n",
       "       [False, False, False, ...,  True, False, False],\n",
       "       ...,\n",
       "       [False, False, False, ..., False, False, False],\n",
       "       [False, False, False, ...,  True, False, False],\n",
       "       [False, False, False, ..., False, False, False]])"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "te = TransactionEncoder()\n",
    "te_data = te.fit(model_data).transform(model_data)\n",
    "te_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe thead th {\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Family influence</th>\n",
       "      <th>None of above</th>\n",
       "      <th>Peer influence</th>\n",
       "      <th>Personal Interest</th>\n",
       "      <th>Poor</th>\n",
       "      <th>Poor performance in class</th>\n",
       "      <th>To attract boy</th>\n",
       "      <th>To attract girl</th>\n",
       "      <th>To feel mature</th>\n",
       "      <th>To follow senior in locality</th>\n",
       "      <th>Family influence</th>\n",
       "      <th>Peer influence</th>\n",
       "      <th>Personal Interest</th>\n",
       "      <th>Poor</th>\n",
       "      <th>Poor performance in class</th>\n",
       "      <th>To attract boy</th>\n",
       "      <th>To attract girl</th>\n",
       "      <th>To feel mature</th>\n",
       "      <th>To follow senior in locality</th>\n",
       "      <th>Watching TV/Cinema</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Family influence   None of above   Peer influence   Personal Interest  \\\n",
       "0               True           False            False                True   \n",
       "1              False           False            False               False   \n",
       "2              False           False            False               False   \n",
       "3              False           False            False               False   \n",
       "4              False           False            False               False   \n",
       "\n",
       "    Poor   Poor performance in class   To attract boy   To attract girl  \\\n",
       "0  False                       False            False              True   \n",
       "1  False                       False            False             False   \n",
       "2  False                       False            False             False   \n",
       "3  False                       False            False             False   \n",
       "4  False                       False            False             False   \n",
       "\n",
       "    To feel mature   To follow senior in locality  Family influence  \\\n",
       "0             True                          False             False   \n",
       "1             True                          False             False   \n",
       "2            False                          False             False   \n",
       "3            False                          False             False   \n",
       "4            False                          False             False   \n",
       "\n",
       "   Peer influence  Personal Interest   Poor  Poor performance in class  \\\n",
       "0            True              False  False                      False   \n",
       "1           False              False  False                      False   \n",
       "2           False              False  False                      False   \n",
       "3           False              False  False                      False   \n",
       "4           False              False  False                      False   \n",
       "\n",
       "   To attract boy  To attract girl  To feel mature  \\\n",
       "0           False            False           False   \n",
       "1           False            False           False   \n",
       "2           False            False            True   \n",
       "3           False            False           False   \n",
       "4           False            False           False   \n",
       "\n",
       "   To follow senior in locality  Watching TV/Cinema  \n",
       "0                         False               False  \n",
       "1                         False                True  \n",
       "2                         False               False  \n",
       "3                          True               False  \n",
       "4                          True               False  "
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.DataFrame(te_data,columns=te.columns_)\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "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>support</th>\n",
       "      <th>itemsets</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.109959</td>\n",
       "      <td>( Personal Interest)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.139004</td>\n",
       "      <td>( To attract girl)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.126556</td>\n",
       "      <td>( To feel mature)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.145228</td>\n",
       "      <td>( To follow senior in locality)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.176349</td>\n",
       "      <td>(Personal Interest)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>0.267635</td>\n",
       "      <td>(To feel mature)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>0.275934</td>\n",
       "      <td>(Watching TV/Cinema)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>0.107884</td>\n",
       "      <td>( To feel mature, Watching TV/Cinema)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    support                               itemsets\n",
       "0  0.109959                   ( Personal Interest)\n",
       "1  0.139004                     ( To attract girl)\n",
       "2  0.126556                      ( To feel mature)\n",
       "3  0.145228        ( To follow senior in locality)\n",
       "4  0.176349                    (Personal Interest)\n",
       "5  0.267635                       (To feel mature)\n",
       "6  0.275934                   (Watching TV/Cinema)\n",
       "7  0.107884  ( To feel mature, Watching TV/Cinema)"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "frq_items = apriori(df, min_support = 0.1, use_colnames = True)\n",
    "\n",
    "frq_items"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "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>antecedents</th>\n",
       "      <th>consequents</th>\n",
       "      <th>antecedent support</th>\n",
       "      <th>consequent support</th>\n",
       "      <th>support</th>\n",
       "      <th>confidence</th>\n",
       "      <th>lift</th>\n",
       "      <th>leverage</th>\n",
       "      <th>conviction</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>( To feel mature)</td>\n",
       "      <td>(Watching TV/Cinema)</td>\n",
       "      <td>0.126556</td>\n",
       "      <td>0.275934</td>\n",
       "      <td>0.107884</td>\n",
       "      <td>0.852459</td>\n",
       "      <td>3.089363</td>\n",
       "      <td>0.072963</td>\n",
       "      <td>4.907561</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         antecedents           consequents  antecedent support  \\\n",
       "0  ( To feel mature)  (Watching TV/Cinema)            0.126556   \n",
       "\n",
       "   consequent support   support  confidence      lift  leverage  conviction  \n",
       "0            0.275934  0.107884    0.852459  3.089363  0.072963    4.907561  "
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rules = association_rules(frq_items, metric =\"confidence\", min_threshold = .6) \n",
    "# rules.shape\n",
    "rules"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#  Note :: Below all of  the mining will be compact code"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Againg importing libraries for separte mining"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "# importing libraries\n",
    "\n",
    "from mlxtend.frequent_patterns import apriori, association_rules\n",
    "from mlxtend.preprocessing import TransactionEncoder"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Rule mining on smokers influencing factor for continuing smoking"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-32-b38e1d377da7>:3: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\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",
      "  smoker['continuing cigarette smoking?'] = smoker['continuing cigarette smoking?'].astype(str)\n",
      "<ipython-input-32-b38e1d377da7>:4: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\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",
      "  smoker['index']= smoker['index'].astype(str)\n"
     ]
    }
   ],
   "source": [
    "# Casting\n",
    "\n",
    "smoker['continuing cigarette smoking?'] = smoker['continuing cigarette smoking?'].astype(str)\n",
    "smoker['index']= smoker['index'].astype(str)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "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>support</th>\n",
       "      <th>itemsets</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.116183</td>\n",
       "      <td>( Bad family relations)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.188797</td>\n",
       "      <td>( Difficulties in relationship with girlfriend)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.153527</td>\n",
       "      <td>( Educational problems)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.327801</td>\n",
       "      <td>( Friend Circle)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.230290</td>\n",
       "      <td>(Friend Circle)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>0.562241</td>\n",
       "      <td>(Mental depression)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>0.116183</td>\n",
       "      <td>( Bad family relations, Mental depression)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>0.126556</td>\n",
       "      <td>( Difficulties in relationship with girlfriend...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>0.163900</td>\n",
       "      <td>( Difficulties in relationship with girlfriend...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>0.107884</td>\n",
       "      <td>( Educational problems,  Friend Circle)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>0.141079</td>\n",
       "      <td>( Educational problems, Mental depression)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>0.275934</td>\n",
       "      <td>(Mental depression,  Friend Circle)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>0.107884</td>\n",
       "      <td>( Difficulties in relationship with girlfriend...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     support                                           itemsets\n",
       "0   0.116183                            ( Bad family relations)\n",
       "1   0.188797    ( Difficulties in relationship with girlfriend)\n",
       "2   0.153527                            ( Educational problems)\n",
       "3   0.327801                                   ( Friend Circle)\n",
       "4   0.230290                                    (Friend Circle)\n",
       "5   0.562241                                (Mental depression)\n",
       "6   0.116183         ( Bad family relations, Mental depression)\n",
       "7   0.126556  ( Difficulties in relationship with girlfriend...\n",
       "8   0.163900  ( Difficulties in relationship with girlfriend...\n",
       "9   0.107884            ( Educational problems,  Friend Circle)\n",
       "10  0.141079         ( Educational problems, Mental depression)\n",
       "11  0.275934                (Mental depression,  Friend Circle)\n",
       "12  0.107884  ( Difficulties in relationship with girlfriend..."
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# rule mining\n",
    "\n",
    "model_data = list(smoker['continuing cigarette smoking?'].apply(lambda x:x.split(',')))\n",
    "# model_data\n",
    "te = TransactionEncoder()\n",
    "te_data = te.fit(model_data).transform(model_data)\n",
    "# te_data\n",
    "df = pd.DataFrame(te_data,columns=te.columns_)\n",
    "frq_items = apriori(df, min_support = 0.1, use_colnames = True)\n",
    "\n",
    "frq_items"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<style scoped>\n",
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       "\n",
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       "    }\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>antecedents</th>\n",
       "      <th>consequents</th>\n",
       "      <th>antecedent support</th>\n",
       "      <th>consequent support</th>\n",
       "      <th>support</th>\n",
       "      <th>confidence</th>\n",
       "      <th>lift</th>\n",
       "      <th>leverage</th>\n",
       "      <th>conviction</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>( Bad family relations)</td>\n",
       "      <td>(Mental depression)</td>\n",
       "      <td>0.116183</td>\n",
       "      <td>0.562241</td>\n",
       "      <td>0.116183</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.778598</td>\n",
       "      <td>0.050860</td>\n",
       "      <td>inf</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>( Educational problems)</td>\n",
       "      <td>(Mental depression)</td>\n",
       "      <td>0.153527</td>\n",
       "      <td>0.562241</td>\n",
       "      <td>0.141079</td>\n",
       "      <td>0.918919</td>\n",
       "      <td>1.634387</td>\n",
       "      <td>0.054760</td>\n",
       "      <td>5.399032</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>( Difficulties in relationship with girlfriend)</td>\n",
       "      <td>(Mental depression)</td>\n",
       "      <td>0.188797</td>\n",
       "      <td>0.562241</td>\n",
       "      <td>0.163900</td>\n",
       "      <td>0.868132</td>\n",
       "      <td>1.544057</td>\n",
       "      <td>0.057751</td>\n",
       "      <td>3.319675</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>( Difficulties in relationship with girlfriend...</td>\n",
       "      <td>(Mental depression)</td>\n",
       "      <td>0.126556</td>\n",
       "      <td>0.562241</td>\n",
       "      <td>0.107884</td>\n",
       "      <td>0.852459</td>\n",
       "      <td>1.516182</td>\n",
       "      <td>0.036729</td>\n",
       "      <td>2.967036</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>( Friend Circle)</td>\n",
       "      <td>(Mental depression)</td>\n",
       "      <td>0.327801</td>\n",
       "      <td>0.562241</td>\n",
       "      <td>0.275934</td>\n",
       "      <td>0.841772</td>\n",
       "      <td>1.497174</td>\n",
       "      <td>0.091631</td>\n",
       "      <td>2.766639</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                         antecedents          consequents  \\\n",
       "0                            ( Bad family relations)  (Mental depression)   \n",
       "4                            ( Educational problems)  (Mental depression)   \n",
       "2    ( Difficulties in relationship with girlfriend)  (Mental depression)   \n",
       "7  ( Difficulties in relationship with girlfriend...  (Mental depression)   \n",
       "5                                   ( Friend Circle)  (Mental depression)   \n",
       "\n",
       "   antecedent support  consequent support   support  confidence      lift  \\\n",
       "0            0.116183            0.562241  0.116183    1.000000  1.778598   \n",
       "4            0.153527            0.562241  0.141079    0.918919  1.634387   \n",
       "2            0.188797            0.562241  0.163900    0.868132  1.544057   \n",
       "7            0.126556            0.562241  0.107884    0.852459  1.516182   \n",
       "5            0.327801            0.562241  0.275934    0.841772  1.497174   \n",
       "\n",
       "   leverage  conviction  \n",
       "0  0.050860         inf  \n",
       "4  0.054760    5.399032  \n",
       "2  0.057751    3.319675  \n",
       "7  0.036729    2.967036  \n",
       "5  0.091631    2.766639  "
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rules = association_rules(frq_items, metric =\"confidence\", min_threshold = .6) \n",
    "# rules.shape\n",
    "rules = rules.sort_values( ['confidence','support'], ascending= [False, False] )\n",
    "rules.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Rule mining on factors that helps smoker to overcome"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-37-147f50e3c038>:3: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\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",
      "  smoker['Smoking helps?'] = smoker['Smoking helps?'].astype(str)\n",
      "<ipython-input-37-147f50e3c038>:4: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\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",
      "  smoker['index']= smoker['index'].astype(str)\n"
     ]
    },
    {
     "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>support</th>\n",
       "      <th>itemsets</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.201245</td>\n",
       "      <td>( Boringness)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.307054</td>\n",
       "      <td>( Depression)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.203320</td>\n",
       "      <td>( Loneliness)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.259336</td>\n",
       "      <td>( To feel cool)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.298755</td>\n",
       "      <td>( Working pressure)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>0.109959</td>\n",
       "      <td>( To feel cool, Sadness,  Loneliness,  Depress...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>0.143154</td>\n",
       "      <td>(Sadness,  Loneliness,  Working pressure,  Dep...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>0.112033</td>\n",
       "      <td>( To feel cool, Sadness,  Working pressure,  D...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>0.101660</td>\n",
       "      <td>( To feel cool, Sadness,  Loneliness,  Working...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>0.118257</td>\n",
       "      <td>(Sadness,  Loneliness,  Working pressure,  Dep...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>55 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     support                                           itemsets\n",
       "0   0.201245                                      ( Boringness)\n",
       "1   0.307054                                      ( Depression)\n",
       "2   0.203320                                      ( Loneliness)\n",
       "3   0.259336                                    ( To feel cool)\n",
       "4   0.298755                                ( Working pressure)\n",
       "..       ...                                                ...\n",
       "50  0.109959  ( To feel cool, Sadness,  Loneliness,  Depress...\n",
       "51  0.143154  (Sadness,  Loneliness,  Working pressure,  Dep...\n",
       "52  0.112033  ( To feel cool, Sadness,  Working pressure,  D...\n",
       "53  0.101660  ( To feel cool, Sadness,  Loneliness,  Working...\n",
       "54  0.118257  (Sadness,  Loneliness,  Working pressure,  Dep...\n",
       "\n",
       "[55 rows x 2 columns]"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Casting\n",
    "\n",
    "smoker['Smoking helps?'] = smoker['Smoking helps?'].astype(str)\n",
    "smoker['index']= smoker['index'].astype(str)\n",
    "# rule mining\n",
    "\n",
    "model_data = list(smoker['Smoking helps?'].apply(lambda x:x.split(',')))\n",
    "# model_data\n",
    "te = TransactionEncoder()\n",
    "te_data = te.fit(model_data).transform(model_data)\n",
    "# te_data\n",
    "df = pd.DataFrame(te_data,columns=te.columns_)\n",
    "frq_items = apriori(df, min_support = 0.1, use_colnames = True)\n",
    "\n",
    "frq_items"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "\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>antecedents</th>\n",
       "      <th>consequents</th>\n",
       "      <th>antecedent support</th>\n",
       "      <th>consequent support</th>\n",
       "      <th>support</th>\n",
       "      <th>confidence</th>\n",
       "      <th>lift</th>\n",
       "      <th>leverage</th>\n",
       "      <th>conviction</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>( Loneliness)</td>\n",
       "      <td>(Sadness)</td>\n",
       "      <td>0.203320</td>\n",
       "      <td>0.325726</td>\n",
       "      <td>0.203320</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>3.070064</td>\n",
       "      <td>0.137093</td>\n",
       "      <td>inf</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>( Loneliness,  Depression)</td>\n",
       "      <td>(Sadness)</td>\n",
       "      <td>0.180498</td>\n",
       "      <td>0.325726</td>\n",
       "      <td>0.180498</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>3.070064</td>\n",
       "      <td>0.121705</td>\n",
       "      <td>inf</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>( Loneliness,  Working pressure)</td>\n",
       "      <td>(Sadness)</td>\n",
       "      <td>0.157676</td>\n",
       "      <td>0.325726</td>\n",
       "      <td>0.157676</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>3.070064</td>\n",
       "      <td>0.106317</td>\n",
       "      <td>inf</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>( Boringness,  Loneliness)</td>\n",
       "      <td>(Sadness)</td>\n",
       "      <td>0.149378</td>\n",
       "      <td>0.325726</td>\n",
       "      <td>0.149378</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>3.070064</td>\n",
       "      <td>0.100721</td>\n",
       "      <td>inf</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>160</th>\n",
       "      <td>( Loneliness,  Working pressure,  Depression)</td>\n",
       "      <td>(Sadness)</td>\n",
       "      <td>0.143154</td>\n",
       "      <td>0.325726</td>\n",
       "      <td>0.143154</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>3.070064</td>\n",
       "      <td>0.096525</td>\n",
       "      <td>inf</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>( Boringness,  Loneliness,  Depression)</td>\n",
       "      <td>(Sadness)</td>\n",
       "      <td>0.139004</td>\n",
       "      <td>0.325726</td>\n",
       "      <td>0.139004</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>3.070064</td>\n",
       "      <td>0.093727</td>\n",
       "      <td>inf</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131</th>\n",
       "      <td>( Boringness,  Loneliness,  Working pressure)</td>\n",
       "      <td>(Sadness)</td>\n",
       "      <td>0.128631</td>\n",
       "      <td>0.325726</td>\n",
       "      <td>0.128631</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>3.070064</td>\n",
       "      <td>0.086732</td>\n",
       "      <td>inf</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>( To feel cool,  Loneliness)</td>\n",
       "      <td>(Sadness)</td>\n",
       "      <td>0.122407</td>\n",
       "      <td>0.325726</td>\n",
       "      <td>0.122407</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>3.070064</td>\n",
       "      <td>0.082536</td>\n",
       "      <td>inf</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>188</th>\n",
       "      <td>( Boringness,  Loneliness,  Working pressure, ...</td>\n",
       "      <td>(Sadness)</td>\n",
       "      <td>0.118257</td>\n",
       "      <td>0.325726</td>\n",
       "      <td>0.118257</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>3.070064</td>\n",
       "      <td>0.079738</td>\n",
       "      <td>inf</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>151</th>\n",
       "      <td>( To feel cool,  Loneliness,  Depression)</td>\n",
       "      <td>(Sadness)</td>\n",
       "      <td>0.109959</td>\n",
       "      <td>0.325726</td>\n",
       "      <td>0.109959</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>3.070064</td>\n",
       "      <td>0.074142</td>\n",
       "      <td>inf</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>122</th>\n",
       "      <td>( To feel cool,  Boringness,  Loneliness)</td>\n",
       "      <td>(Sadness)</td>\n",
       "      <td>0.101660</td>\n",
       "      <td>0.325726</td>\n",
       "      <td>0.101660</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>3.070064</td>\n",
       "      <td>0.068547</td>\n",
       "      <td>inf</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>178</th>\n",
       "      <td>( To feel cool,  Loneliness,  Working pressure)</td>\n",
       "      <td>(Sadness)</td>\n",
       "      <td>0.101660</td>\n",
       "      <td>0.325726</td>\n",
       "      <td>0.101660</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>3.070064</td>\n",
       "      <td>0.068547</td>\n",
       "      <td>inf</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>187</th>\n",
       "      <td>( Boringness, Sadness,  Working pressure,  Dep...</td>\n",
       "      <td>( Loneliness)</td>\n",
       "      <td>0.124481</td>\n",
       "      <td>0.203320</td>\n",
       "      <td>0.118257</td>\n",
       "      <td>0.950000</td>\n",
       "      <td>4.672449</td>\n",
       "      <td>0.092948</td>\n",
       "      <td>15.933610</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>120</th>\n",
       "      <td>( To feel cool,  Boringness, Sadness)</td>\n",
       "      <td>( Loneliness)</td>\n",
       "      <td>0.107884</td>\n",
       "      <td>0.203320</td>\n",
       "      <td>0.101660</td>\n",
       "      <td>0.942308</td>\n",
       "      <td>4.634615</td>\n",
       "      <td>0.079725</td>\n",
       "      <td>13.809129</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>140</th>\n",
       "      <td>( To feel cool,  Boringness, Sadness)</td>\n",
       "      <td>( Working pressure)</td>\n",
       "      <td>0.107884</td>\n",
       "      <td>0.298755</td>\n",
       "      <td>0.101660</td>\n",
       "      <td>0.942308</td>\n",
       "      <td>3.154113</td>\n",
       "      <td>0.069429</td>\n",
       "      <td>12.154910</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>129</th>\n",
       "      <td>( Boringness, Sadness,  Working pressure)</td>\n",
       "      <td>( Loneliness)</td>\n",
       "      <td>0.136929</td>\n",
       "      <td>0.203320</td>\n",
       "      <td>0.128631</td>\n",
       "      <td>0.939394</td>\n",
       "      <td>4.620284</td>\n",
       "      <td>0.100790</td>\n",
       "      <td>13.145228</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>168</th>\n",
       "      <td>( To feel cool, Sadness,  Working pressure)</td>\n",
       "      <td>( Depression)</td>\n",
       "      <td>0.120332</td>\n",
       "      <td>0.307054</td>\n",
       "      <td>0.112033</td>\n",
       "      <td>0.931034</td>\n",
       "      <td>3.032153</td>\n",
       "      <td>0.075085</td>\n",
       "      <td>10.047718</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>( Boringness,  Loneliness)</td>\n",
       "      <td>( Depression)</td>\n",
       "      <td>0.149378</td>\n",
       "      <td>0.307054</td>\n",
       "      <td>0.139004</td>\n",
       "      <td>0.930556</td>\n",
       "      <td>3.030593</td>\n",
       "      <td>0.093137</td>\n",
       "      <td>9.978423</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>( Boringness, Sadness,  Loneliness)</td>\n",
       "      <td>( Depression)</td>\n",
       "      <td>0.149378</td>\n",
       "      <td>0.307054</td>\n",
       "      <td>0.139004</td>\n",
       "      <td>0.930556</td>\n",
       "      <td>3.030593</td>\n",
       "      <td>0.093137</td>\n",
       "      <td>9.978423</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>( Boringness, Sadness,  Depression)</td>\n",
       "      <td>( Loneliness)</td>\n",
       "      <td>0.149378</td>\n",
       "      <td>0.203320</td>\n",
       "      <td>0.139004</td>\n",
       "      <td>0.930556</td>\n",
       "      <td>4.576814</td>\n",
       "      <td>0.108633</td>\n",
       "      <td>11.472199</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                           antecedents          consequents  \\\n",
       "15                                       ( Loneliness)            (Sadness)   \n",
       "67                          ( Loneliness,  Depression)            (Sadness)   \n",
       "85                    ( Loneliness,  Working pressure)            (Sadness)   \n",
       "45                          ( Boringness,  Loneliness)            (Sadness)   \n",
       "160      ( Loneliness,  Working pressure,  Depression)            (Sadness)   \n",
       "102            ( Boringness,  Loneliness,  Depression)            (Sadness)   \n",
       "131      ( Boringness,  Loneliness,  Working pressure)            (Sadness)   \n",
       "80                        ( To feel cool,  Loneliness)            (Sadness)   \n",
       "188  ( Boringness,  Loneliness,  Working pressure, ...            (Sadness)   \n",
       "151          ( To feel cool,  Loneliness,  Depression)            (Sadness)   \n",
       "122          ( To feel cool,  Boringness,  Loneliness)            (Sadness)   \n",
       "178    ( To feel cool,  Loneliness,  Working pressure)            (Sadness)   \n",
       "187  ( Boringness, Sadness,  Working pressure,  Dep...        ( Loneliness)   \n",
       "120              ( To feel cool,  Boringness, Sadness)        ( Loneliness)   \n",
       "140              ( To feel cool,  Boringness, Sadness)  ( Working pressure)   \n",
       "129          ( Boringness, Sadness,  Working pressure)        ( Loneliness)   \n",
       "168        ( To feel cool, Sadness,  Working pressure)        ( Depression)   \n",
       "19                          ( Boringness,  Loneliness)        ( Depression)   \n",
       "99                 ( Boringness, Sadness,  Loneliness)        ( Depression)   \n",
       "100                ( Boringness, Sadness,  Depression)        ( Loneliness)   \n",
       "\n",
       "     antecedent support  consequent support   support  confidence      lift  \\\n",
       "15             0.203320            0.325726  0.203320    1.000000  3.070064   \n",
       "67             0.180498            0.325726  0.180498    1.000000  3.070064   \n",
       "85             0.157676            0.325726  0.157676    1.000000  3.070064   \n",
       "45             0.149378            0.325726  0.149378    1.000000  3.070064   \n",
       "160            0.143154            0.325726  0.143154    1.000000  3.070064   \n",
       "102            0.139004            0.325726  0.139004    1.000000  3.070064   \n",
       "131            0.128631            0.325726  0.128631    1.000000  3.070064   \n",
       "80             0.122407            0.325726  0.122407    1.000000  3.070064   \n",
       "188            0.118257            0.325726  0.118257    1.000000  3.070064   \n",
       "151            0.109959            0.325726  0.109959    1.000000  3.070064   \n",
       "122            0.101660            0.325726  0.101660    1.000000  3.070064   \n",
       "178            0.101660            0.325726  0.101660    1.000000  3.070064   \n",
       "187            0.124481            0.203320  0.118257    0.950000  4.672449   \n",
       "120            0.107884            0.203320  0.101660    0.942308  4.634615   \n",
       "140            0.107884            0.298755  0.101660    0.942308  3.154113   \n",
       "129            0.136929            0.203320  0.128631    0.939394  4.620284   \n",
       "168            0.120332            0.307054  0.112033    0.931034  3.032153   \n",
       "19             0.149378            0.307054  0.139004    0.930556  3.030593   \n",
       "99             0.149378            0.307054  0.139004    0.930556  3.030593   \n",
       "100            0.149378            0.203320  0.139004    0.930556  4.576814   \n",
       "\n",
       "     leverage  conviction  \n",
       "15   0.137093         inf  \n",
       "67   0.121705         inf  \n",
       "85   0.106317         inf  \n",
       "45   0.100721         inf  \n",
       "160  0.096525         inf  \n",
       "102  0.093727         inf  \n",
       "131  0.086732         inf  \n",
       "80   0.082536         inf  \n",
       "188  0.079738         inf  \n",
       "151  0.074142         inf  \n",
       "122  0.068547         inf  \n",
       "178  0.068547         inf  \n",
       "187  0.092948   15.933610  \n",
       "120  0.079725   13.809129  \n",
       "140  0.069429   12.154910  \n",
       "129  0.100790   13.145228  \n",
       "168  0.075085   10.047718  \n",
       "19   0.093137    9.978423  \n",
       "99   0.093137    9.978423  \n",
       "100  0.108633   11.472199  "
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rules = association_rules(frq_items, metric =\"confidence\", min_threshold = .6) \n",
    "# rules.shape\n",
    "rules = rules.sort_values( ['confidence','support'], ascending= [False, False] )\n",
    "rules.head(20)"
   ]
  }
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