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体验新版 GitCode,发现更多精彩内容 >>
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编写于
5月 04, 2020
作者:
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PyCaret
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{
"cells": [
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
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" 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>Dataset</th>\n",
" <th>Data Types</th>\n",
" <th>Default Task</th>\n",
" <th>Target Variable</th>\n",
" <th># Instances</th>\n",
" <th># Attributes</th>\n",
" <th>Missing Values</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>cancer</td>\n",
" <td>Multivariate</td>\n",
" <td>Classification</td>\n",
" <td>Class</td>\n",
" <td>683</td>\n",
" <td>10</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>credit</td>\n",
" <td>Multivariate</td>\n",
" <td>Classification</td>\n",
" <td>default</td>\n",
" <td>24000</td>\n",
" <td>24</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>employee</td>\n",
" <td>Multivariate</td>\n",
" <td>Classification</td>\n",
" <td>left</td>\n",
" <td>14999</td>\n",
" <td>10</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>heart</td>\n",
" <td>Multivariate</td>\n",
" <td>Classification</td>\n",
" <td>DEATH</td>\n",
" <td>200</td>\n",
" <td>17</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>hepatitis</td>\n",
" <td>Multivariate</td>\n",
" <td>Classification</td>\n",
" <td>Class</td>\n",
" <td>154</td>\n",
" <td>32</td>\n",
" <td>Y</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>income</td>\n",
" <td>Multivariate</td>\n",
" <td>Classification</td>\n",
" <td>income >50K</td>\n",
" <td>32561</td>\n",
" <td>14</td>\n",
" <td>Y</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>iris</td>\n",
" <td>Multivariate</td>\n",
" <td>Classification</td>\n",
" <td>Class</td>\n",
" <td>100</td>\n",
" <td>5</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>juice</td>\n",
" <td>Multivariate</td>\n",
" <td>Classification</td>\n",
" <td>Purchase</td>\n",
" <td>1070</td>\n",
" <td>15</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>heart_disease</td>\n",
" <td>Multivariate</td>\n",
" <td>Classification</td>\n",
" <td>Disease</td>\n",
" <td>270</td>\n",
" <td>14</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>glass</td>\n",
" <td>Multivariate</td>\n",
" <td>Multiclass Classification</td>\n",
" <td>Type</td>\n",
" <td>214</td>\n",
" <td>10</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <td>satellite</td>\n",
" <td>Multivariate</td>\n",
" <td>Multiclass Classification</td>\n",
" <td>Class</td>\n",
" <td>6435</td>\n",
" <td>37</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11</th>\n",
" <td>poker</td>\n",
" <td>Multivariate</td>\n",
" <td>Multiclass Classification</td>\n",
" <td>CLASS</td>\n",
" <td>100000</td>\n",
" <td>11</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>12</th>\n",
" <td>automobile</td>\n",
" <td>Multivariate</td>\n",
" <td>Regression</td>\n",
" <td>price</td>\n",
" <td>202</td>\n",
" <td>26</td>\n",
" <td>Y</td>\n",
" </tr>\n",
" <tr>\n",
" <th>13</th>\n",
" <td>bike</td>\n",
" <td>Multivariate</td>\n",
" <td>Regression</td>\n",
" <td>cnt</td>\n",
" <td>17379</td>\n",
" <td>15</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>14</th>\n",
" <td>boston</td>\n",
" <td>Multivariate</td>\n",
" <td>Regression</td>\n",
" <td>medv</td>\n",
" <td>506</td>\n",
" <td>14</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>15</th>\n",
" <td>diamond</td>\n",
" <td>Multivariate</td>\n",
" <td>Regression</td>\n",
" <td>Price</td>\n",
" <td>6000</td>\n",
" <td>8</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>16</th>\n",
" <td>gold</td>\n",
" <td>Multivariate</td>\n",
" <td>Regression</td>\n",
" <td>Gold_T+22</td>\n",
" <td>2558</td>\n",
" <td>121</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>17</th>\n",
" <td>tweets</td>\n",
" <td>Text</td>\n",
" <td>NLP</td>\n",
" <td>tweet</td>\n",
" <td>8594</td>\n",
" <td>2</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>18</th>\n",
" <td>amazon</td>\n",
" <td>Text</td>\n",
" <td>NLP / Classification</td>\n",
" <td>reviewText</td>\n",
" <td>20000</td>\n",
" <td>2</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>19</th>\n",
" <td>kiva</td>\n",
" <td>Text</td>\n",
" <td>NLP / Classification</td>\n",
" <td>en</td>\n",
" <td>6818</td>\n",
" <td>7</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>20</th>\n",
" <td>spx</td>\n",
" <td>Text</td>\n",
" <td>NLP / Regression</td>\n",
" <td>text</td>\n",
" <td>874</td>\n",
" <td>4</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>21</th>\n",
" <td>germany</td>\n",
" <td>Multivariate</td>\n",
" <td>Association Rule Mining</td>\n",
" <td>InvoiceNo, Description</td>\n",
" <td>9495</td>\n",
" <td>8</td>\n",
" <td>N</td>\n",
" </tr>\n",
" <tr>\n",
" <th>22</th>\n",
" <td>france</td>\n",
" <td>Multivariate</td>\n",
" <td>Association Rule Mining</td>\n",
" <td>InvoiceNo, Description</td>\n",
" <td>8557</td>\n",
" <td>8</td>\n",
" <td>N</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Dataset Data Types Default Task \\\n",
"0 cancer Multivariate Classification \n",
"1 credit Multivariate Classification \n",
"2 employee Multivariate Classification \n",
"3 heart Multivariate Classification \n",
"4 hepatitis Multivariate Classification \n",
"5 income Multivariate Classification \n",
"6 iris Multivariate Classification \n",
"7 juice Multivariate Classification \n",
"8 heart_disease Multivariate Classification \n",
"9 glass Multivariate Multiclass Classification \n",
"10 satellite Multivariate Multiclass Classification \n",
"11 poker Multivariate Multiclass Classification \n",
"12 automobile Multivariate Regression \n",
"13 bike Multivariate Regression \n",
"14 boston Multivariate Regression \n",
"15 diamond Multivariate Regression \n",
"16 gold Multivariate Regression \n",
"17 tweets Text NLP \n",
"18 amazon Text NLP / Classification \n",
"19 kiva Text NLP / Classification \n",
"20 spx Text NLP / Regression \n",
"21 germany Multivariate Association Rule Mining \n",
"22 france Multivariate Association Rule Mining \n",
"\n",
" Target Variable # Instances # Attributes Missing Values \n",
"0 Class 683 10 N \n",
"1 default 24000 24 N \n",
"2 left 14999 10 N \n",
"3 DEATH 200 17 N \n",
"4 Class 154 32 Y \n",
"5 income >50K 32561 14 Y \n",
"6 Class 100 5 N \n",
"7 Purchase 1070 15 N \n",
"8 Disease 270 14 N \n",
"9 Type 214 10 N \n",
"10 Class 6435 37 N \n",
"11 CLASS 100000 11 N \n",
"12 price 202 26 Y \n",
"13 cnt 17379 15 N \n",
"14 medv 506 14 N \n",
"15 Price 6000 8 N \n",
"16 Gold_T+22 2558 121 N \n",
"17 tweet 8594 2 N \n",
"18 reviewText 20000 2 N \n",
"19 en 6818 7 N \n",
"20 text 874 4 N \n",
"21 InvoiceNo, Description 9495 8 N \n",
"22 InvoiceNo, Description 8557 8 N "
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"from pycaret.datasets import get_data\n",
"get_data('index')"
]
},
{
"cell_type": "code",
"execution_count": 3,
"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>InvoiceNo</th>\n",
" <th>StockCode</th>\n",
" <th>Description</th>\n",
" <th>Quantity</th>\n",
" <th>InvoiceDate</th>\n",
" <th>UnitPrice</th>\n",
" <th>CustomerID</th>\n",
" <th>Country</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>536370</td>\n",
" <td>22728</td>\n",
" <td>ALARM CLOCK BAKELIKE PINK</td>\n",
" <td>24</td>\n",
" <td>12/1/2010 8:45</td>\n",
" <td>3.75</td>\n",
" <td>12583.0</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>536370</td>\n",
" <td>22727</td>\n",
" <td>ALARM CLOCK BAKELIKE RED</td>\n",
" <td>24</td>\n",
" <td>12/1/2010 8:45</td>\n",
" <td>3.75</td>\n",
" <td>12583.0</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>536370</td>\n",
" <td>22726</td>\n",
" <td>ALARM CLOCK BAKELIKE GREEN</td>\n",
" <td>12</td>\n",
" <td>12/1/2010 8:45</td>\n",
" <td>3.75</td>\n",
" <td>12583.0</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>536370</td>\n",
" <td>21724</td>\n",
" <td>PANDA AND BUNNIES STICKER SHEET</td>\n",
" <td>12</td>\n",
" <td>12/1/2010 8:45</td>\n",
" <td>0.85</td>\n",
" <td>12583.0</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>536370</td>\n",
" <td>21883</td>\n",
" <td>STARS GIFT TAPE</td>\n",
" <td>24</td>\n",
" <td>12/1/2010 8:45</td>\n",
" <td>0.65</td>\n",
" <td>12583.0</td>\n",
" <td>France</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" InvoiceNo StockCode Description Quantity \\\n",
"0 536370 22728 ALARM CLOCK BAKELIKE PINK 24 \n",
"1 536370 22727 ALARM CLOCK BAKELIKE RED 24 \n",
"2 536370 22726 ALARM CLOCK BAKELIKE GREEN 12 \n",
"3 536370 21724 PANDA AND BUNNIES STICKER SHEET 12 \n",
"4 536370 21883 STARS GIFT TAPE 24 \n",
"\n",
" InvoiceDate UnitPrice CustomerID Country \n",
"0 12/1/2010 8:45 3.75 12583.0 France \n",
"1 12/1/2010 8:45 3.75 12583.0 France \n",
"2 12/1/2010 8:45 3.75 12583.0 France \n",
"3 12/1/2010 8:45 0.85 12583.0 France \n",
"4 12/1/2010 8:45 0.65 12583.0 France "
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"data = get_data('france')"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"from pycaret.arules import *"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<style type=\"text/css\" >\n",
"</style><table id=\"T_07a6c86c_3287_11ea_a84d_84fdd13f47d7\" ><thead> <tr> <th class=\"col_heading level0 col0\" >Description</th> <th class=\"col_heading level0 col1\" >Value</th> </tr></thead><tbody>\n",
" <tr>\n",
" <td id=\"T_07a6c86c_3287_11ea_a84d_84fdd13f47d7row0_col0\" class=\"data row0 col0\" >session_id</td>\n",
" <td id=\"T_07a6c86c_3287_11ea_a84d_84fdd13f47d7row0_col1\" class=\"data row0 col1\" >1262</td>\n",
" </tr>\n",
" <tr>\n",
" <td id=\"T_07a6c86c_3287_11ea_a84d_84fdd13f47d7row1_col0\" class=\"data row1 col0\" ># Transactions</td>\n",
" <td id=\"T_07a6c86c_3287_11ea_a84d_84fdd13f47d7row1_col1\" class=\"data row1 col1\" >461</td>\n",
" </tr>\n",
" <tr>\n",
" <td id=\"T_07a6c86c_3287_11ea_a84d_84fdd13f47d7row2_col0\" class=\"data row2 col0\" ># Items</td>\n",
" <td id=\"T_07a6c86c_3287_11ea_a84d_84fdd13f47d7row2_col1\" class=\"data row2 col1\" >1565</td>\n",
" </tr>\n",
" <tr>\n",
" <td id=\"T_07a6c86c_3287_11ea_a84d_84fdd13f47d7row3_col0\" class=\"data row3 col0\" >Ignore Items</td>\n",
" <td id=\"T_07a6c86c_3287_11ea_a84d_84fdd13f47d7row3_col1\" class=\"data row3 col1\" >None</td>\n",
" </tr>\n",
" </tbody></table>"
],
"text/plain": [
"<pandas.io.formats.style.Styler at 0x1f989a55c48>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"s = setup(data, 'InvoiceNo', item_id='Description')"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
"a1 = create_model()"
]
},
{
"cell_type": "code",
"execution_count": 7,
"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>(JUMBO BAG WOODLAND ANIMALS)</td>\n",
" <td>(POSTAGE)</td>\n",
" <td>0.0651</td>\n",
" <td>0.6746</td>\n",
" <td>0.0651</td>\n",
" <td>1.0000</td>\n",
" <td>1.4823</td>\n",
" <td>0.0212</td>\n",
" <td>inf</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>(SET/6 RED SPOTTY PAPER PLATES, SET/20 RED RET...</td>\n",
" <td>(SET/6 RED SPOTTY PAPER CUPS)</td>\n",
" <td>0.0868</td>\n",
" <td>0.1171</td>\n",
" <td>0.0846</td>\n",
" <td>0.9750</td>\n",
" <td>8.3236</td>\n",
" <td>0.0744</td>\n",
" <td>35.3145</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>(SET/6 RED SPOTTY PAPER CUPS, SET/20 RED RETRO...</td>\n",
" <td>(SET/6 RED SPOTTY PAPER PLATES)</td>\n",
" <td>0.0868</td>\n",
" <td>0.1085</td>\n",
" <td>0.0846</td>\n",
" <td>0.9750</td>\n",
" <td>8.9895</td>\n",
" <td>0.0752</td>\n",
" <td>35.6616</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>(SET/6 RED SPOTTY PAPER PLATES, POSTAGE, SET/2...</td>\n",
" <td>(SET/6 RED SPOTTY PAPER CUPS)</td>\n",
" <td>0.0716</td>\n",
" <td>0.1171</td>\n",
" <td>0.0694</td>\n",
" <td>0.9697</td>\n",
" <td>8.2783</td>\n",
" <td>0.0610</td>\n",
" <td>29.1345</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>(POSTAGE, SET/6 RED SPOTTY PAPER CUPS, SET/20 ...</td>\n",
" <td>(SET/6 RED SPOTTY PAPER PLATES)</td>\n",
" <td>0.0716</td>\n",
" <td>0.1085</td>\n",
" <td>0.0694</td>\n",
" <td>0.9697</td>\n",
" <td>8.9406</td>\n",
" <td>0.0617</td>\n",
" <td>29.4208</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>136</th>\n",
" <td>(STRAWBERRY LUNCH BOX WITH CUTLERY)</td>\n",
" <td>(LUNCH BOX WITH CUTLERY RETROSPOT )</td>\n",
" <td>0.1041</td>\n",
" <td>0.1236</td>\n",
" <td>0.0542</td>\n",
" <td>0.5208</td>\n",
" <td>4.2124</td>\n",
" <td>0.0414</td>\n",
" <td>1.8289</td>\n",
" </tr>\n",
" <tr>\n",
" <th>137</th>\n",
" <td>(LUNCH BAG APPLE DESIGN)</td>\n",
" <td>(LUNCH BAG SPACEBOY DESIGN )</td>\n",
" <td>0.1085</td>\n",
" <td>0.1041</td>\n",
" <td>0.0564</td>\n",
" <td>0.5200</td>\n",
" <td>4.9942</td>\n",
" <td>0.0451</td>\n",
" <td>1.8664</td>\n",
" </tr>\n",
" <tr>\n",
" <th>138</th>\n",
" <td>(LUNCH BAG APPLE DESIGN)</td>\n",
" <td>(LUNCH BAG RED RETROSPOT)</td>\n",
" <td>0.1085</td>\n",
" <td>0.1323</td>\n",
" <td>0.0564</td>\n",
" <td>0.5200</td>\n",
" <td>3.9298</td>\n",
" <td>0.0420</td>\n",
" <td>1.8077</td>\n",
" </tr>\n",
" <tr>\n",
" <th>139</th>\n",
" <td>(PLASTERS IN TIN CIRCUS PARADE , POSTAGE)</td>\n",
" <td>(PLASTERS IN TIN SPACEBOY)</td>\n",
" <td>0.1258</td>\n",
" <td>0.1193</td>\n",
" <td>0.0629</td>\n",
" <td>0.5000</td>\n",
" <td>4.1909</td>\n",
" <td>0.0479</td>\n",
" <td>1.7614</td>\n",
" </tr>\n",
" <tr>\n",
" <th>140</th>\n",
" <td>(LUNCH BAG RED RETROSPOT, POSTAGE)</td>\n",
" <td>(LUNCH BAG APPLE DESIGN)</td>\n",
" <td>0.1041</td>\n",
" <td>0.1085</td>\n",
" <td>0.0521</td>\n",
" <td>0.5000</td>\n",
" <td>4.6100</td>\n",
" <td>0.0408</td>\n",
" <td>1.7831</td>\n",
" </tr>\n",
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"text/plain": [
" antecedents \\\n",
"0 (JUMBO BAG WOODLAND ANIMALS) \n",
"1 (SET/6 RED SPOTTY PAPER PLATES, SET/20 RED RET... \n",
"2 (SET/6 RED SPOTTY PAPER CUPS, SET/20 RED RETRO... \n",
"3 (SET/6 RED SPOTTY PAPER PLATES, POSTAGE, SET/2... \n",
"4 (POSTAGE, SET/6 RED SPOTTY PAPER CUPS, SET/20 ... \n",
".. ... \n",
"136 (STRAWBERRY LUNCH BOX WITH CUTLERY) \n",
"137 (LUNCH BAG APPLE DESIGN) \n",
"138 (LUNCH BAG APPLE DESIGN) \n",
"139 (PLASTERS IN TIN CIRCUS PARADE , POSTAGE) \n",
"140 (LUNCH BAG RED RETROSPOT, POSTAGE) \n",
"\n",
" consequents antecedent support \\\n",
"0 (POSTAGE) 0.0651 \n",
"1 (SET/6 RED SPOTTY PAPER CUPS) 0.0868 \n",
"2 (SET/6 RED SPOTTY PAPER PLATES) 0.0868 \n",
"3 (SET/6 RED SPOTTY PAPER CUPS) 0.0716 \n",
"4 (SET/6 RED SPOTTY PAPER PLATES) 0.0716 \n",
".. ... ... \n",
"136 (LUNCH BOX WITH CUTLERY RETROSPOT ) 0.1041 \n",
"137 (LUNCH BAG SPACEBOY DESIGN ) 0.1085 \n",
"138 (LUNCH BAG RED RETROSPOT) 0.1085 \n",
"139 (PLASTERS IN TIN SPACEBOY) 0.1258 \n",
"140 (LUNCH BAG APPLE DESIGN) 0.1041 \n",
"\n",
" consequent support support confidence lift leverage conviction \n",
"0 0.6746 0.0651 1.0000 1.4823 0.0212 inf \n",
"1 0.1171 0.0846 0.9750 8.3236 0.0744 35.3145 \n",
"2 0.1085 0.0846 0.9750 8.9895 0.0752 35.6616 \n",
"3 0.1171 0.0694 0.9697 8.2783 0.0610 29.1345 \n",
"4 0.1085 0.0694 0.9697 8.9406 0.0617 29.4208 \n",
".. ... ... ... ... ... ... \n",
"136 0.1236 0.0542 0.5208 4.2124 0.0414 1.8289 \n",
"137 0.1041 0.0564 0.5200 4.9942 0.0451 1.8664 \n",
"138 0.1323 0.0564 0.5200 3.9298 0.0420 1.8077 \n",
"139 0.1193 0.0629 0.5000 4.1909 0.0479 1.7614 \n",
"140 0.1085 0.0521 0.5000 4.6100 0.0408 1.7831 \n",
"\n",
"[141 rows x 9 columns]"
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