Assignment-09-Association Rules Data Mining (Books).ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Assignment-09-Association Rules Data Mining (Books)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Import Libraries\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from mlxtend.frequent_patterns import apriori,association_rules\n",
    "from mlxtend.preprocessing import TransactionEncoder"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ChildBks</th>\n",
       "      <th>YouthBks</th>\n",
       "      <th>CookBks</th>\n",
       "      <th>DoItYBks</th>\n",
       "      <th>RefBks</th>\n",
       "      <th>ArtBks</th>\n",
       "      <th>GeogBks</th>\n",
       "      <th>ItalCook</th>\n",
       "      <th>ItalAtlas</th>\n",
       "      <th>ItalArt</th>\n",
       "      <th>Florence</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
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       "      <td>1</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1995</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1996</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1997</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1998</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1999</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "  </tbody>\n",
       "</table>\n",
       "<p>2000 rows × 11 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      ChildBks  YouthBks  CookBks  DoItYBks  RefBks  ArtBks  GeogBks  \\\n",
       "0            0         1        0         1       0       0        1   \n",
       "1            1         0        0         0       0       0        0   \n",
       "2            0         0        0         0       0       0        0   \n",
       "3            1         1        1         0       1       0        1   \n",
       "4            0         0        1         0       0       0        1   \n",
       "...        ...       ...      ...       ...     ...     ...      ...   \n",
       "1995         0         0        1         0       0       1        1   \n",
       "1996         0         0        0         0       0       0        0   \n",
       "1997         0         0        0         0       0       0        0   \n",
       "1998         0         0        1         0       0       0        0   \n",
       "1999         0         0        0         0       0       0        0   \n",
       "\n",
       "      ItalCook  ItalAtlas  ItalArt  Florence  \n",
       "0            0          0        0         0  \n",
       "1            0          0        0         0  \n",
       "2            0          0        0         0  \n",
       "3            0          0        0         0  \n",
       "4            0          0        0         0  \n",
       "...        ...        ...      ...       ...  \n",
       "1995         1          0        1         1  \n",
       "1996         0          0        0         0  \n",
       "1997         0          0        0         0  \n",
       "1998         0          0        0         0  \n",
       "1999         0          0        0         0  \n",
       "\n",
       "[2000 rows x 11 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Import Dataset\n",
    "book=pd.read_csv('Database/book.csv')\n",
    "book"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Data preprocessing not required as it is already in transaction format"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Apriori Algorithm"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1. Association rules with 10% Support and 70% confidence"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
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       "  <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>0.4230</td>\n",
       "      <td>(ChildBks)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.2475</td>\n",
       "      <td>(YouthBks)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.4310</td>\n",
       "      <td>(CookBks)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.2820</td>\n",
       "      <td>(DoItYBks)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.2145</td>\n",
       "      <td>(RefBks)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>0.2410</td>\n",
       "      <td>(ArtBks)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>0.2760</td>\n",
       "      <td>(GeogBks)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>0.1135</td>\n",
       "      <td>(ItalCook)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>0.1085</td>\n",
       "      <td>(Florence)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>0.1650</td>\n",
       "      <td>(ChildBks, YouthBks)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>0.2560</td>\n",
       "      <td>(CookBks, ChildBks)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>0.1840</td>\n",
       "      <td>(DoItYBks, ChildBks)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>0.1515</td>\n",
       "      <td>(ChildBks, RefBks)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>0.1625</td>\n",
       "      <td>(ChildBks, ArtBks)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>0.1950</td>\n",
       "      <td>(ChildBks, GeogBks)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>0.1620</td>\n",
       "      <td>(CookBks, YouthBks)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>0.1155</td>\n",
       "      <td>(DoItYBks, YouthBks)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>0.1010</td>\n",
       "      <td>(ArtBks, YouthBks)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>0.1205</td>\n",
       "      <td>(GeogBks, YouthBks)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>0.1875</td>\n",
       "      <td>(DoItYBks, CookBks)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>0.1525</td>\n",
       "      <td>(CookBks, RefBks)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>0.1670</td>\n",
       "      <td>(CookBks, ArtBks)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>0.1925</td>\n",
       "      <td>(CookBks, GeogBks)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>0.1135</td>\n",
       "      <td>(CookBks, ItalCook)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>0.1055</td>\n",
       "      <td>(DoItYBks, RefBks)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>0.1235</td>\n",
       "      <td>(DoItYBks, ArtBks)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>0.1325</td>\n",
       "      <td>(DoItYBks, GeogBks)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>0.1105</td>\n",
       "      <td>(GeogBks, RefBks)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>0.1275</td>\n",
       "      <td>(GeogBks, ArtBks)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>0.1290</td>\n",
       "      <td>(CookBks, ChildBks, YouthBks)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>0.1460</td>\n",
       "      <td>(DoItYBks, CookBks, ChildBks)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>0.1225</td>\n",
       "      <td>(CookBks, ChildBks, RefBks)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>0.1265</td>\n",
       "      <td>(CookBks, ChildBks, ArtBks)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>0.1495</td>\n",
       "      <td>(CookBks, ChildBks, GeogBks)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>0.1045</td>\n",
       "      <td>(DoItYBks, ChildBks, GeogBks)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>0.1020</td>\n",
       "      <td>(ChildBks, GeogBks, ArtBks)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>0.1015</td>\n",
       "      <td>(DoItYBks, CookBks, ArtBks)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>0.1085</td>\n",
       "      <td>(DoItYBks, CookBks, GeogBks)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>0.1035</td>\n",
       "      <td>(CookBks, GeogBks, ArtBks)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    support                       itemsets\n",
       "0    0.4230                     (ChildBks)\n",
       "1    0.2475                     (YouthBks)\n",
       "2    0.4310                      (CookBks)\n",
       "3    0.2820                     (DoItYBks)\n",
       "4    0.2145                       (RefBks)\n",
       "5    0.2410                       (ArtBks)\n",
       "6    0.2760                      (GeogBks)\n",
       "7    0.1135                     (ItalCook)\n",
       "8    0.1085                     (Florence)\n",
       "9    0.1650           (ChildBks, YouthBks)\n",
       "10   0.2560            (CookBks, ChildBks)\n",
       "11   0.1840           (DoItYBks, ChildBks)\n",
       "12   0.1515             (ChildBks, RefBks)\n",
       "13   0.1625             (ChildBks, ArtBks)\n",
       "14   0.1950            (ChildBks, GeogBks)\n",
       "15   0.1620            (CookBks, YouthBks)\n",
       "16   0.1155           (DoItYBks, YouthBks)\n",
       "17   0.1010             (ArtBks, YouthBks)\n",
       "18   0.1205            (GeogBks, YouthBks)\n",
       "19   0.1875            (DoItYBks, CookBks)\n",
       "20   0.1525              (CookBks, RefBks)\n",
       "21   0.1670              (CookBks, ArtBks)\n",
       "22   0.1925             (CookBks, GeogBks)\n",
       "23   0.1135            (CookBks, ItalCook)\n",
       "24   0.1055             (DoItYBks, RefBks)\n",
       "25   0.1235             (DoItYBks, ArtBks)\n",
       "26   0.1325            (DoItYBks, GeogBks)\n",
       "27   0.1105              (GeogBks, RefBks)\n",
       "28   0.1275              (GeogBks, ArtBks)\n",
       "29   0.1290  (CookBks, ChildBks, YouthBks)\n",
       "30   0.1460  (DoItYBks, CookBks, ChildBks)\n",
       "31   0.1225    (CookBks, ChildBks, RefBks)\n",
       "32   0.1265    (CookBks, ChildBks, ArtBks)\n",
       "33   0.1495   (CookBks, ChildBks, GeogBks)\n",
       "34   0.1045  (DoItYBks, ChildBks, GeogBks)\n",
       "35   0.1020    (ChildBks, GeogBks, ArtBks)\n",
       "36   0.1015    (DoItYBks, CookBks, ArtBks)\n",
       "37   0.1085   (DoItYBks, CookBks, GeogBks)\n",
       "38   0.1035     (CookBks, GeogBks, ArtBks)"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# With 10% Support\n",
    "frequent_itemsets=apriori(book,min_support=0.1,use_colnames=True)\n",
    "frequent_itemsets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<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>(ChildBks)</td>\n",
       "      <td>(YouthBks)</td>\n",
       "      <td>0.4230</td>\n",
       "      <td>0.2475</td>\n",
       "      <td>0.1650</td>\n",
       "      <td>0.390071</td>\n",
       "      <td>1.576044</td>\n",
       "      <td>0.060308</td>\n",
       "      <td>1.233750</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>(YouthBks)</td>\n",
       "      <td>(ChildBks)</td>\n",
       "      <td>0.2475</td>\n",
       "      <td>0.4230</td>\n",
       "      <td>0.1650</td>\n",
       "      <td>0.666667</td>\n",
       "      <td>1.576044</td>\n",
       "      <td>0.060308</td>\n",
       "      <td>1.731000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>(CookBks)</td>\n",
       "      <td>(ChildBks)</td>\n",
       "      <td>0.4310</td>\n",
       "      <td>0.4230</td>\n",
       "      <td>0.2560</td>\n",
       "      <td>0.593968</td>\n",
       "      <td>1.404179</td>\n",
       "      <td>0.073687</td>\n",
       "      <td>1.421069</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>(ChildBks)</td>\n",
       "      <td>(CookBks)</td>\n",
       "      <td>0.4230</td>\n",
       "      <td>0.4310</td>\n",
       "      <td>0.2560</td>\n",
       "      <td>0.605201</td>\n",
       "      <td>1.404179</td>\n",
       "      <td>0.073687</td>\n",
       "      <td>1.441240</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>(DoItYBks)</td>\n",
       "      <td>(ChildBks)</td>\n",
       "      <td>0.2820</td>\n",
       "      <td>0.4230</td>\n",
       "      <td>0.1840</td>\n",
       "      <td>0.652482</td>\n",
       "      <td>1.542511</td>\n",
       "      <td>0.064714</td>\n",
       "      <td>1.660347</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>(CookBks, ArtBks)</td>\n",
       "      <td>(GeogBks)</td>\n",
       "      <td>0.1670</td>\n",
       "      <td>0.2760</td>\n",
       "      <td>0.1035</td>\n",
       "      <td>0.619760</td>\n",
       "      <td>2.245509</td>\n",
       "      <td>0.057408</td>\n",
       "      <td>1.904063</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>(GeogBks, ArtBks)</td>\n",
       "      <td>(CookBks)</td>\n",
       "      <td>0.1275</td>\n",
       "      <td>0.4310</td>\n",
       "      <td>0.1035</td>\n",
       "      <td>0.811765</td>\n",
       "      <td>1.883445</td>\n",
       "      <td>0.048547</td>\n",
       "      <td>3.022812</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>(CookBks)</td>\n",
       "      <td>(GeogBks, ArtBks)</td>\n",
       "      <td>0.4310</td>\n",
       "      <td>0.1275</td>\n",
       "      <td>0.1035</td>\n",
       "      <td>0.240139</td>\n",
       "      <td>1.883445</td>\n",
       "      <td>0.048547</td>\n",
       "      <td>1.148237</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>(GeogBks)</td>\n",
       "      <td>(CookBks, ArtBks)</td>\n",
       "      <td>0.2760</td>\n",
       "      <td>0.1670</td>\n",
       "      <td>0.1035</td>\n",
       "      <td>0.375000</td>\n",
       "      <td>2.245509</td>\n",
       "      <td>0.057408</td>\n",
       "      <td>1.332800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>(ArtBks)</td>\n",
       "      <td>(CookBks, GeogBks)</td>\n",
       "      <td>0.2410</td>\n",
       "      <td>0.1925</td>\n",
       "      <td>0.1035</td>\n",
       "      <td>0.429461</td>\n",
       "      <td>2.230964</td>\n",
       "      <td>0.057107</td>\n",
       "      <td>1.415327</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>100 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          antecedents         consequents  antecedent support  \\\n",
       "0          (ChildBks)          (YouthBks)              0.4230   \n",
       "1          (YouthBks)          (ChildBks)              0.2475   \n",
       "2           (CookBks)          (ChildBks)              0.4310   \n",
       "3          (ChildBks)           (CookBks)              0.4230   \n",
       "4          (DoItYBks)          (ChildBks)              0.2820   \n",
       "..                ...                 ...                 ...   \n",
       "95  (CookBks, ArtBks)           (GeogBks)              0.1670   \n",
       "96  (GeogBks, ArtBks)           (CookBks)              0.1275   \n",
       "97          (CookBks)   (GeogBks, ArtBks)              0.4310   \n",
       "98          (GeogBks)   (CookBks, ArtBks)              0.2760   \n",
       "99           (ArtBks)  (CookBks, GeogBks)              0.2410   \n",
       "\n",
       "    consequent support  support  confidence      lift  leverage  conviction  \n",
       "0               0.2475   0.1650    0.390071  1.576044  0.060308    1.233750  \n",
       "1               0.4230   0.1650    0.666667  1.576044  0.060308    1.731000  \n",
       "2               0.4230   0.2560    0.593968  1.404179  0.073687    1.421069  \n",
       "3               0.4310   0.2560    0.605201  1.404179  0.073687    1.441240  \n",
       "4               0.4230   0.1840    0.652482  1.542511  0.064714    1.660347  \n",
       "..                 ...      ...         ...       ...       ...         ...  \n",
       "95              0.2760   0.1035    0.619760  2.245509  0.057408    1.904063  \n",
       "96              0.4310   0.1035    0.811765  1.883445  0.048547    3.022812  \n",
       "97              0.1275   0.1035    0.240139  1.883445  0.048547    1.148237  \n",
       "98              0.1670   0.1035    0.375000  2.245509  0.057408    1.332800  \n",
       "99              0.1925   0.1035    0.429461  2.230964  0.057107    1.415327  \n",
       "\n",
       "[100 rows x 9 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# with 70% confidence\n",
    "rules=association_rules(frequent_itemsets,metric='lift',min_threshold=0.7)\n",
    "rules"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "## A leverage value of 0 indicates independence. Range will be [-1 1]\n",
    "## A high conviction value means that the consequent is highly depending on the antecedent and range [0 inf]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<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>28</th>\n",
       "      <td>(CookBks)</td>\n",
       "      <td>(ItalCook)</td>\n",
       "      <td>0.4310</td>\n",
       "      <td>0.1135</td>\n",
       "      <td>0.1135</td>\n",
       "      <td>0.263341</td>\n",
       "      <td>2.320186</td>\n",
       "      <td>0.064582</td>\n",
       "      <td>1.203406</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>(ItalCook)</td>\n",
       "      <td>(CookBks)</td>\n",
       "      <td>0.1135</td>\n",
       "      <td>0.4310</td>\n",
       "      <td>0.1135</td>\n",
       "      <td>1.000000</td>\n",
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       "      <td>0.064582</td>\n",
       "      <td>inf</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>(ChildBks, ArtBks)</td>\n",
       "      <td>(GeogBks)</td>\n",
       "      <td>0.1625</td>\n",
       "      <td>0.2760</td>\n",
       "      <td>0.1020</td>\n",
       "      <td>0.627692</td>\n",
       "      <td>2.274247</td>\n",
       "      <td>0.057150</td>\n",
       "      <td>1.944628</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>(GeogBks)</td>\n",
       "      <td>(ChildBks, ArtBks)</td>\n",
       "      <td>0.2760</td>\n",
       "      <td>0.1625</td>\n",
       "      <td>0.1020</td>\n",
       "      <td>0.369565</td>\n",
       "      <td>2.274247</td>\n",
       "      <td>0.057150</td>\n",
       "      <td>1.328448</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>(ArtBks)</td>\n",
       "      <td>(DoItYBks, CookBks)</td>\n",
       "      <td>0.2410</td>\n",
       "      <td>0.1875</td>\n",
       "      <td>0.1015</td>\n",
       "      <td>0.421162</td>\n",
       "      <td>2.246196</td>\n",
       "      <td>0.056313</td>\n",
       "      <td>1.403674</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>(DoItYBks)</td>\n",
       "      <td>(ChildBks)</td>\n",
       "      <td>0.2820</td>\n",
       "      <td>0.4230</td>\n",
       "      <td>0.1840</td>\n",
       "      <td>0.652482</td>\n",
       "      <td>1.542511</td>\n",
       "      <td>0.064714</td>\n",
       "      <td>1.660347</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>(CookBks)</td>\n",
       "      <td>(YouthBks)</td>\n",
       "      <td>0.4310</td>\n",
       "      <td>0.2475</td>\n",
       "      <td>0.1620</td>\n",
       "      <td>0.375870</td>\n",
       "      <td>1.518667</td>\n",
       "      <td>0.055328</td>\n",
       "      <td>1.205678</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>(YouthBks)</td>\n",
       "      <td>(CookBks)</td>\n",
       "      <td>0.2475</td>\n",
       "      <td>0.4310</td>\n",
       "      <td>0.1620</td>\n",
       "      <td>0.654545</td>\n",
       "      <td>1.518667</td>\n",
       "      <td>0.055328</td>\n",
       "      <td>1.647105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>(ChildBks)</td>\n",
       "      <td>(CookBks)</td>\n",
       "      <td>0.4230</td>\n",
       "      <td>0.4310</td>\n",
       "      <td>0.2560</td>\n",
       "      <td>0.605201</td>\n",
       "      <td>1.404179</td>\n",
       "      <td>0.073687</td>\n",
       "      <td>1.441240</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>(CookBks)</td>\n",
       "      <td>(ChildBks)</td>\n",
       "      <td>0.4310</td>\n",
       "      <td>0.4230</td>\n",
       "      <td>0.2560</td>\n",
       "      <td>0.593968</td>\n",
       "      <td>1.404179</td>\n",
       "      <td>0.073687</td>\n",
       "      <td>1.421069</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>100 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           antecedents          consequents  antecedent support  \\\n",
       "28           (CookBks)           (ItalCook)              0.4310   \n",
       "29          (ItalCook)            (CookBks)              0.1135   \n",
       "77  (ChildBks, ArtBks)            (GeogBks)              0.1625   \n",
       "80           (GeogBks)   (ChildBks, ArtBks)              0.2760   \n",
       "87            (ArtBks)  (DoItYBks, CookBks)              0.2410   \n",
       "..                 ...                  ...                 ...   \n",
       "4           (DoItYBks)           (ChildBks)              0.2820   \n",
       "12           (CookBks)           (YouthBks)              0.4310   \n",
       "13          (YouthBks)            (CookBks)              0.2475   \n",
       "3           (ChildBks)            (CookBks)              0.4230   \n",
       "2            (CookBks)           (ChildBks)              0.4310   \n",
       "\n",
       "    consequent support  support  confidence      lift  leverage  conviction  \n",
       "28              0.1135   0.1135    0.263341  2.320186  0.064582    1.203406  \n",
       "29              0.4310   0.1135    1.000000  2.320186  0.064582         inf  \n",
       "77              0.2760   0.1020    0.627692  2.274247  0.057150    1.944628  \n",
       "80              0.1625   0.1020    0.369565  2.274247  0.057150    1.328448  \n",
       "87              0.1875   0.1015    0.421162  2.246196  0.056313    1.403674  \n",
       "..                 ...      ...         ...       ...       ...         ...  \n",
       "4               0.4230   0.1840    0.652482  1.542511  0.064714    1.660347  \n",
       "12              0.2475   0.1620    0.375870  1.518667  0.055328    1.205678  \n",
       "13              0.4310   0.1620    0.654545  1.518667  0.055328    1.647105  \n",
       "3               0.4310   0.2560    0.605201  1.404179  0.073687    1.441240  \n",
       "2               0.4230   0.2560    0.593968  1.404179  0.073687    1.421069  \n",
       "\n",
       "[100 rows x 9 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rules.sort_values('lift',ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <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",
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       "  <tbody>\n",
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       "      <th>0</th>\n",
       "      <td>(ChildBks)</td>\n",
       "      <td>(YouthBks)</td>\n",
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       "      <td>1.233750</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>(YouthBks)</td>\n",
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       "      <td>1.731000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>(CookBks)</td>\n",
       "      <td>(ChildBks)</td>\n",
       "      <td>0.4310</td>\n",
       "      <td>0.4230</td>\n",
       "      <td>0.2560</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>(ChildBks)</td>\n",
       "      <td>(CookBks)</td>\n",
       "      <td>0.4230</td>\n",
       "      <td>0.4310</td>\n",
       "      <td>0.2560</td>\n",
       "      <td>0.605201</td>\n",
       "      <td>1.404179</td>\n",
       "      <td>0.073687</td>\n",
       "      <td>1.441240</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>(DoItYBks)</td>\n",
       "      <td>(ChildBks)</td>\n",
       "      <td>0.2820</td>\n",
       "      <td>0.4230</td>\n",
       "      <td>0.1840</td>\n",
       "      <td>0.652482</td>\n",
       "      <td>1.542511</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>(CookBks, ArtBks)</td>\n",
       "      <td>(GeogBks)</td>\n",
       "      <td>0.1670</td>\n",
       "      <td>0.2760</td>\n",
       "      <td>0.1035</td>\n",
       "      <td>0.619760</td>\n",
       "      <td>2.245509</td>\n",
       "      <td>0.057408</td>\n",
       "      <td>1.904063</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>(GeogBks, ArtBks)</td>\n",
       "      <td>(CookBks)</td>\n",
       "      <td>0.1275</td>\n",
       "      <td>0.4310</td>\n",
       "      <td>0.1035</td>\n",
       "      <td>0.811765</td>\n",
       "      <td>1.883445</td>\n",
       "      <td>0.048547</td>\n",
       "      <td>3.022812</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>(CookBks)</td>\n",
       "      <td>(GeogBks, ArtBks)</td>\n",
       "      <td>0.4310</td>\n",
       "      <td>0.1275</td>\n",
       "      <td>0.1035</td>\n",
       "      <td>0.240139</td>\n",
       "      <td>1.883445</td>\n",
       "      <td>0.048547</td>\n",
       "      <td>1.148237</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>(GeogBks)</td>\n",
       "      <td>(CookBks, ArtBks)</td>\n",
       "      <td>0.2760</td>\n",
       "      <td>0.1670</td>\n",
       "      <td>0.1035</td>\n",
       "      <td>0.375000</td>\n",
       "      <td>2.245509</td>\n",
       "      <td>0.057408</td>\n",
       "      <td>1.332800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>(ArtBks)</td>\n",
       "      <td>(CookBks, GeogBks)</td>\n",
       "      <td>0.2410</td>\n",
       "      <td>0.1925</td>\n",
       "      <td>0.1035</td>\n",
       "      <td>0.429461</td>\n",
       "      <td>2.230964</td>\n",
       "      <td>0.057107</td>\n",
       "      <td>1.415327</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>100 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          antecedents         consequents  antecedent support  \\\n",
       "0          (ChildBks)          (YouthBks)              0.4230   \n",
       "1          (YouthBks)          (ChildBks)              0.2475   \n",
       "2           (CookBks)          (ChildBks)              0.4310   \n",
       "3          (ChildBks)           (CookBks)              0.4230   \n",
       "4          (DoItYBks)          (ChildBks)              0.2820   \n",
       "..                ...                 ...                 ...   \n",
       "95  (CookBks, ArtBks)           (GeogBks)              0.1670   \n",
       "96  (GeogBks, ArtBks)           (CookBks)              0.1275   \n",
       "97          (CookBks)   (GeogBks, ArtBks)              0.4310   \n",
       "98          (GeogBks)   (CookBks, ArtBks)              0.2760   \n",
       "99           (ArtBks)  (CookBks, GeogBks)              0.2410   \n",
       "\n",
       "    consequent support  support  confidence      lift  leverage  conviction  \n",
       "0               0.2475   0.1650    0.390071  1.576044  0.060308    1.233750  \n",
       "1               0.4230   0.1650    0.666667  1.576044  0.060308    1.731000  \n",
       "2               0.4230   0.2560    0.593968  1.404179  0.073687    1.421069  \n",
       "3               0.4310   0.2560    0.605201  1.404179  0.073687    1.441240  \n",
       "4               0.4230   0.1840    0.652482  1.542511  0.064714    1.660347  \n",
       "..                 ...      ...         ...       ...       ...         ...  \n",
       "95              0.2760   0.1035    0.619760  2.245509  0.057408    1.904063  \n",
       "96              0.4310   0.1035    0.811765  1.883445  0.048547    3.022812  \n",
       "97              0.1275   0.1035    0.240139  1.883445  0.048547    1.148237  \n",
       "98              0.1670   0.1035    0.375000  2.245509  0.057408    1.332800  \n",
       "99              0.1925   0.1035    0.429461  2.230964  0.057107    1.415327  \n",
       "\n",
       "[100 rows x 9 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Lift Ratio > 1 is a good influential rule in selecting the associated transactions\n",
    "rules[rules.lift>1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# visualization of obtained rule\n",
    "plt.scatter(rules['support'],rules['confidence'])\n",
    "plt.xlabel('support')\n",
    "plt.ylabel('confidence') \n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2. Association rules with 20% Support and 60% confidence"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "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>0.4230</td>\n",
       "      <td>(ChildBks)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.2475</td>\n",
       "      <td>(YouthBks)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.4310</td>\n",
       "      <td>(CookBks)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.2820</td>\n",
       "      <td>(DoItYBks)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.2145</td>\n",
       "      <td>(RefBks)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>0.2410</td>\n",
       "      <td>(ArtBks)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>0.2760</td>\n",
       "      <td>(GeogBks)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>0.2560</td>\n",
       "      <td>(CookBks, ChildBks)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   support             itemsets\n",
       "0   0.4230           (ChildBks)\n",
       "1   0.2475           (YouthBks)\n",
       "2   0.4310            (CookBks)\n",
       "3   0.2820           (DoItYBks)\n",
       "4   0.2145             (RefBks)\n",
       "5   0.2410             (ArtBks)\n",
       "6   0.2760            (GeogBks)\n",
       "7   0.2560  (CookBks, ChildBks)"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# With 20% Support\n",
    "frequent_itemsets2=apriori(book,min_support=0.20,use_colnames=True)\n",
    "frequent_itemsets2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "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>(CookBks)</td>\n",
       "      <td>(ChildBks)</td>\n",
       "      <td>0.431</td>\n",
       "      <td>0.423</td>\n",
       "      <td>0.256</td>\n",
       "      <td>0.593968</td>\n",
       "      <td>1.404179</td>\n",
       "      <td>0.073687</td>\n",
       "      <td>1.421069</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>(ChildBks)</td>\n",
       "      <td>(CookBks)</td>\n",
       "      <td>0.423</td>\n",
       "      <td>0.431</td>\n",
       "      <td>0.256</td>\n",
       "      <td>0.605201</td>\n",
       "      <td>1.404179</td>\n",
       "      <td>0.073687</td>\n",
       "      <td>1.441240</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  antecedents consequents  antecedent support  consequent support  support  \\\n",
       "0   (CookBks)  (ChildBks)               0.431               0.423    0.256   \n",
       "1  (ChildBks)   (CookBks)               0.423               0.431    0.256   \n",
       "\n",
       "   confidence      lift  leverage  conviction  \n",
       "0    0.593968  1.404179  0.073687    1.421069  \n",
       "1    0.605201  1.404179  0.073687    1.441240  "
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# With 60% confidence\n",
    "rules2=association_rules(frequent_itemsets2,metric='lift',min_threshold=0.6)\n",
    "rules2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# visualization of obtained rule\n",
    "plt.scatter(rules2['support'],rules2['confidence'])\n",
    "plt.xlabel('support')\n",
    "plt.ylabel('confidence') \n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3. Association rules with 5% Support and 80% confidence"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "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>0.4230</td>\n",
       "      <td>(ChildBks)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.2475</td>\n",
       "      <td>(YouthBks)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.4310</td>\n",
       "      <td>(CookBks)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.2820</td>\n",
       "      <td>(DoItYBks)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.2145</td>\n",
       "      <td>(RefBks)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>95</th>\n",
       "      <td>0.0600</td>\n",
       "      <td>(DoItYBks, CookBks, GeogBks, YouthBks)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>0.0560</td>\n",
       "      <td>(CookBks, GeogBks, ArtBks, YouthBks)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>0.0650</td>\n",
       "      <td>(DoItYBks, CookBks, GeogBks, ArtBks)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>0.0510</td>\n",
       "      <td>(DoItYBks, GeogBks, CookBks, ChildBks, YouthBks)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>0.0535</td>\n",
       "      <td>(DoItYBks, GeogBks, CookBks, ArtBks, ChildBks)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>100 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    support                                          itemsets\n",
       "0    0.4230                                        (ChildBks)\n",
       "1    0.2475                                        (YouthBks)\n",
       "2    0.4310                                         (CookBks)\n",
       "3    0.2820                                        (DoItYBks)\n",
       "4    0.2145                                          (RefBks)\n",
       "..      ...                                               ...\n",
       "95   0.0600            (DoItYBks, CookBks, GeogBks, YouthBks)\n",
       "96   0.0560              (CookBks, GeogBks, ArtBks, YouthBks)\n",
       "97   0.0650              (DoItYBks, CookBks, GeogBks, ArtBks)\n",
       "98   0.0510  (DoItYBks, GeogBks, CookBks, ChildBks, YouthBks)\n",
       "99   0.0535    (DoItYBks, GeogBks, CookBks, ArtBks, ChildBks)\n",
       "\n",
       "[100 rows x 2 columns]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# With 5% Support\n",
    "frequent_itemsets3=apriori(book,min_support=0.05,use_colnames=True)\n",
    "frequent_itemsets3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "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>(ChildBks)</td>\n",
       "      <td>(YouthBks)</td>\n",
       "      <td>0.4230</td>\n",
       "      <td>0.2475</td>\n",
       "      <td>0.1650</td>\n",
       "      <td>0.390071</td>\n",
       "      <td>1.576044</td>\n",
       "      <td>0.060308</td>\n",
       "      <td>1.233750</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>(YouthBks)</td>\n",
       "      <td>(ChildBks)</td>\n",
       "      <td>0.2475</td>\n",
       "      <td>0.4230</td>\n",
       "      <td>0.1650</td>\n",
       "      <td>0.666667</td>\n",
       "      <td>1.576044</td>\n",
       "      <td>0.060308</td>\n",
       "      <td>1.731000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>(CookBks)</td>\n",
       "      <td>(ChildBks)</td>\n",
       "      <td>0.4310</td>\n",
       "      <td>0.4230</td>\n",
       "      <td>0.2560</td>\n",
       "      <td>0.593968</td>\n",
       "      <td>1.404179</td>\n",
       "      <td>0.073687</td>\n",
       "      <td>1.421069</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>(ChildBks)</td>\n",
       "      <td>(CookBks)</td>\n",
       "      <td>0.4230</td>\n",
       "      <td>0.4310</td>\n",
       "      <td>0.2560</td>\n",
       "      <td>0.605201</td>\n",
       "      <td>1.404179</td>\n",
       "      <td>0.073687</td>\n",
       "      <td>1.441240</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>(DoItYBks)</td>\n",
       "      <td>(ChildBks)</td>\n",
       "      <td>0.2820</td>\n",
       "      <td>0.4230</td>\n",
       "      <td>0.1840</td>\n",
       "      <td>0.652482</td>\n",
       "      <td>1.542511</td>\n",
       "      <td>0.064714</td>\n",
       "      <td>1.660347</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>657</th>\n",
       "      <td>(DoItYBks)</td>\n",
       "      <td>(CookBks, ChildBks, GeogBks, ArtBks)</td>\n",
       "      <td>0.2820</td>\n",
       "      <td>0.0835</td>\n",
       "      <td>0.0535</td>\n",
       "      <td>0.189716</td>\n",
       "      <td>2.272052</td>\n",
       "      <td>0.029953</td>\n",
       "      <td>1.131085</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>658</th>\n",
       "      <td>(GeogBks)</td>\n",
       "      <td>(DoItYBks, CookBks, ChildBks, ArtBks)</td>\n",
       "      <td>0.2760</td>\n",
       "      <td>0.0820</td>\n",
       "      <td>0.0535</td>\n",
       "      <td>0.193841</td>\n",
       "      <td>2.363910</td>\n",
       "      <td>0.030868</td>\n",
       "      <td>1.138733</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>659</th>\n",
       "      <td>(CookBks)</td>\n",
       "      <td>(DoItYBks, ChildBks, GeogBks, ArtBks)</td>\n",
       "      <td>0.4310</td>\n",
       "      <td>0.0595</td>\n",
       "      <td>0.0535</td>\n",
       "      <td>0.124130</td>\n",
       "      <td>2.086217</td>\n",
       "      <td>0.027856</td>\n",
       "      <td>1.073789</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>660</th>\n",
       "      <td>(ArtBks)</td>\n",
       "      <td>(DoItYBks, CookBks, ChildBks, GeogBks)</td>\n",
       "      <td>0.2410</td>\n",
       "      <td>0.0890</td>\n",
       "      <td>0.0535</td>\n",
       "      <td>0.221992</td>\n",
       "      <td>2.494289</td>\n",
       "      <td>0.032051</td>\n",
       "      <td>1.170939</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>661</th>\n",
       "      <td>(ChildBks)</td>\n",
       "      <td>(DoItYBks, CookBks, GeogBks, ArtBks)</td>\n",
       "      <td>0.4230</td>\n",
       "      <td>0.0650</td>\n",
       "      <td>0.0535</td>\n",
       "      <td>0.126478</td>\n",
       "      <td>1.945808</td>\n",
       "      <td>0.026005</td>\n",
       "      <td>1.070379</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>662 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    antecedents                             consequents  antecedent support  \\\n",
       "0    (ChildBks)                              (YouthBks)              0.4230   \n",
       "1    (YouthBks)                              (ChildBks)              0.2475   \n",
       "2     (CookBks)                              (ChildBks)              0.4310   \n",
       "3    (ChildBks)                               (CookBks)              0.4230   \n",
       "4    (DoItYBks)                              (ChildBks)              0.2820   \n",
       "..          ...                                     ...                 ...   \n",
       "657  (DoItYBks)    (CookBks, ChildBks, GeogBks, ArtBks)              0.2820   \n",
       "658   (GeogBks)   (DoItYBks, CookBks, ChildBks, ArtBks)              0.2760   \n",
       "659   (CookBks)   (DoItYBks, ChildBks, GeogBks, ArtBks)              0.4310   \n",
       "660    (ArtBks)  (DoItYBks, CookBks, ChildBks, GeogBks)              0.2410   \n",
       "661  (ChildBks)    (DoItYBks, CookBks, GeogBks, ArtBks)              0.4230   \n",
       "\n",
       "     consequent support  support  confidence      lift  leverage  conviction  \n",
       "0                0.2475   0.1650    0.390071  1.576044  0.060308    1.233750  \n",
       "1                0.4230   0.1650    0.666667  1.576044  0.060308    1.731000  \n",
       "2                0.4230   0.2560    0.593968  1.404179  0.073687    1.421069  \n",
       "3                0.4310   0.2560    0.605201  1.404179  0.073687    1.441240  \n",
       "4                0.4230   0.1840    0.652482  1.542511  0.064714    1.660347  \n",
       "..                  ...      ...         ...       ...       ...         ...  \n",
       "657              0.0835   0.0535    0.189716  2.272052  0.029953    1.131085  \n",
       "658              0.0820   0.0535    0.193841  2.363910  0.030868    1.138733  \n",
       "659              0.0595   0.0535    0.124130  2.086217  0.027856    1.073789  \n",
       "660              0.0890   0.0535    0.221992  2.494289  0.032051    1.170939  \n",
       "661              0.0650   0.0535    0.126478  1.945808  0.026005    1.070379  \n",
       "\n",
       "[662 rows x 9 columns]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# With 80% confidence\n",
    "rules3=association_rules(frequent_itemsets3,metric='lift',min_threshold=0.8)\n",
    "rules3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
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       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>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>(ChildBks)</td>\n",
       "      <td>(YouthBks)</td>\n",
       "      <td>0.4230</td>\n",
       "      <td>0.2475</td>\n",
       "      <td>0.1650</td>\n",
       "      <td>0.390071</td>\n",
       "      <td>1.576044</td>\n",
       "      <td>0.060308</td>\n",
       "      <td>1.233750</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>(YouthBks)</td>\n",
       "      <td>(ChildBks)</td>\n",
       "      <td>0.2475</td>\n",
       "      <td>0.4230</td>\n",
       "      <td>0.1650</td>\n",
       "      <td>0.666667</td>\n",
       "      <td>1.576044</td>\n",
       "      <td>0.060308</td>\n",
       "      <td>1.731000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>(CookBks)</td>\n",
       "      <td>(ChildBks)</td>\n",
       "      <td>0.4310</td>\n",
       "      <td>0.4230</td>\n",
       "      <td>0.2560</td>\n",
       "      <td>0.593968</td>\n",
       "      <td>1.404179</td>\n",
       "      <td>0.073687</td>\n",
       "      <td>1.421069</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>(ChildBks)</td>\n",
       "      <td>(CookBks)</td>\n",
       "      <td>0.4230</td>\n",
       "      <td>0.4310</td>\n",
       "      <td>0.2560</td>\n",
       "      <td>0.605201</td>\n",
       "      <td>1.404179</td>\n",
       "      <td>0.073687</td>\n",
       "      <td>1.441240</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>(DoItYBks)</td>\n",
       "      <td>(ChildBks)</td>\n",
       "      <td>0.2820</td>\n",
       "      <td>0.4230</td>\n",
       "      <td>0.1840</td>\n",
       "      <td>0.652482</td>\n",
       "      <td>1.542511</td>\n",
       "      <td>0.064714</td>\n",
       "      <td>1.660347</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>657</th>\n",
       "      <td>(DoItYBks)</td>\n",
       "      <td>(CookBks, ChildBks, GeogBks, ArtBks)</td>\n",
       "      <td>0.2820</td>\n",
       "      <td>0.0835</td>\n",
       "      <td>0.0535</td>\n",
       "      <td>0.189716</td>\n",
       "      <td>2.272052</td>\n",
       "      <td>0.029953</td>\n",
       "      <td>1.131085</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>658</th>\n",
       "      <td>(GeogBks)</td>\n",
       "      <td>(DoItYBks, CookBks, ChildBks, ArtBks)</td>\n",
       "      <td>0.2760</td>\n",
       "      <td>0.0820</td>\n",
       "      <td>0.0535</td>\n",
       "      <td>0.193841</td>\n",
       "      <td>2.363910</td>\n",
       "      <td>0.030868</td>\n",
       "      <td>1.138733</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>659</th>\n",
       "      <td>(CookBks)</td>\n",
       "      <td>(DoItYBks, ChildBks, GeogBks, ArtBks)</td>\n",
       "      <td>0.4310</td>\n",
       "      <td>0.0595</td>\n",
       "      <td>0.0535</td>\n",
       "      <td>0.124130</td>\n",
       "      <td>2.086217</td>\n",
       "      <td>0.027856</td>\n",
       "      <td>1.073789</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>660</th>\n",
       "      <td>(ArtBks)</td>\n",
       "      <td>(DoItYBks, CookBks, ChildBks, GeogBks)</td>\n",
       "      <td>0.2410</td>\n",
       "      <td>0.0890</td>\n",
       "      <td>0.0535</td>\n",
       "      <td>0.221992</td>\n",
       "      <td>2.494289</td>\n",
       "      <td>0.032051</td>\n",
       "      <td>1.170939</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>661</th>\n",
       "      <td>(ChildBks)</td>\n",
       "      <td>(DoItYBks, CookBks, GeogBks, ArtBks)</td>\n",
       "      <td>0.4230</td>\n",
       "      <td>0.0650</td>\n",
       "      <td>0.0535</td>\n",
       "      <td>0.126478</td>\n",
       "      <td>1.945808</td>\n",
       "      <td>0.026005</td>\n",
       "      <td>1.070379</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>662 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    antecedents                             consequents  antecedent support  \\\n",
       "0    (ChildBks)                              (YouthBks)              0.4230   \n",
       "1    (YouthBks)                              (ChildBks)              0.2475   \n",
       "2     (CookBks)                              (ChildBks)              0.4310   \n",
       "3    (ChildBks)                               (CookBks)              0.4230   \n",
       "4    (DoItYBks)                              (ChildBks)              0.2820   \n",
       "..          ...                                     ...                 ...   \n",
       "657  (DoItYBks)    (CookBks, ChildBks, GeogBks, ArtBks)              0.2820   \n",
       "658   (GeogBks)   (DoItYBks, CookBks, ChildBks, ArtBks)              0.2760   \n",
       "659   (CookBks)   (DoItYBks, ChildBks, GeogBks, ArtBks)              0.4310   \n",
       "660    (ArtBks)  (DoItYBks, CookBks, ChildBks, GeogBks)              0.2410   \n",
       "661  (ChildBks)    (DoItYBks, CookBks, GeogBks, ArtBks)              0.4230   \n",
       "\n",
       "     consequent support  support  confidence      lift  leverage  conviction  \n",
       "0                0.2475   0.1650    0.390071  1.576044  0.060308    1.233750  \n",
       "1                0.4230   0.1650    0.666667  1.576044  0.060308    1.731000  \n",
       "2                0.4230   0.2560    0.593968  1.404179  0.073687    1.421069  \n",
       "3                0.4310   0.2560    0.605201  1.404179  0.073687    1.441240  \n",
       "4                0.4230   0.1840    0.652482  1.542511  0.064714    1.660347  \n",
       "..                  ...      ...         ...       ...       ...         ...  \n",
       "657              0.0835   0.0535    0.189716  2.272052  0.029953    1.131085  \n",
       "658              0.0820   0.0535    0.193841  2.363910  0.030868    1.138733  \n",
       "659              0.0595   0.0535    0.124130  2.086217  0.027856    1.073789  \n",
       "660              0.0890   0.0535    0.221992  2.494289  0.032051    1.170939  \n",
       "661              0.0650   0.0535    0.126478  1.945808  0.026005    1.070379  \n",
       "\n",
       "[662 rows x 9 columns]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rules3[rules3.lift>1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# visualization of obtained rule\n",
    "plt.scatter(rules3['support'],rules3['confidence'])\n",
    "plt.xlabel('support')\n",
    "plt.ylabel('confidence') \n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}