Association Rules.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\user\\anaconda3\\lib\\site-packages\\ipykernel_launcher.py:15: FutureWarning: Passing a negative integer is deprecated in version 1.0 and will not be supported in future version. Instead, use None to not limit the column width.\n",
      "  from ipykernel import kernelapp as app\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import plotly.express as px\n",
    "import plotly.graph_objects as go\n",
    "import networkx as nx\n",
    "from mlxtend.frequent_patterns import association_rules\n",
    "from mlxtend.preprocessing import TransactionEncoder\n",
    "from mlxtend.frequent_patterns import apriori, fpmax, fpgrowth\n",
    "import matplotlib.pyplot as plt\n",
    "from sklearn.preprocessing import OneHotEncoder\n",
    "plt.style.use('default')\n",
    "pd.set_option('display.max_rows', None)\n",
    "pd.set_option('display.max_columns', None)\n",
    "pd.set_option('display.width', None)\n",
    "pd.set_option('display.max_colwidth', -1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv(\"HR_Employee_MissingValuesFilled.csv\", skipinitialspace=True, sep=',')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['Age_Range'] = pd.qcut(df['Age'], q=4, labels=['<=30', '>30 <=36', '>36 <=43', '>43'])\n",
    "df['HourlyRate_Range'] = pd.qcut(df['HourlyRate'], q=4, labels=['<=48', '>48 <=60', '>60 <=80', '>80'])\n",
    "df['DistanceFromHome_Range'] = pd.qcut(df['DistanceFromHome'], q=4, labels=['<=2', '>2 <=5', '>6 <=15', '>15'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "columns = ['Attrition',\n",
    "          'Age_Range',\n",
    "          'BusinessTravel',\n",
    "          'Department',\n",
    "          'DistanceFromHome_Range',\n",
    "          'Education',\n",
    "          'EducationField',\n",
    "          'EnvironmentSatisfaction',\n",
    "          'Gender',\n",
    "          'HourlyRate_Range',\n",
    "          'JobInvolvement',\n",
    "          'JobLevel',\n",
    "          'JobRole',\n",
    "          'JobSatisfaction',\n",
    "          'MaritalStatus']\n",
    "not_used_columns = list(set(df.columns.to_list()) - set(columns))\n",
    "df = pd.get_dummies(df, columns=columns)\n",
    "df.drop(labels=not_used_columns, axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
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       "<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>0.838776</td>\n",
       "      <td>(Attrition_No)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.733333</td>\n",
       "      <td>(BusinessTravel_Travel_Rarely)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.653741</td>\n",
       "      <td>(Department_Research &amp; Development)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.623129</td>\n",
       "      <td>(Gender_Male)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.590476</td>\n",
       "      <td>(JobInvolvement_3)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>0.615646</td>\n",
       "      <td>(Attrition_No, BusinessTravel_Travel_Rarely)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>0.563265</td>\n",
       "      <td>(Attrition_No, Department_Research &amp; Development)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>0.522449</td>\n",
       "      <td>(Attrition_No, Gender_Male)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>0.505442</td>\n",
       "      <td>(Attrition_No, JobInvolvement_3)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    support                                           itemsets\n",
       "0  0.838776  (Attrition_No)                                   \n",
       "1  0.733333  (BusinessTravel_Travel_Rarely)                   \n",
       "2  0.653741  (Department_Research & Development)              \n",
       "3  0.623129  (Gender_Male)                                    \n",
       "4  0.590476  (JobInvolvement_3)                               \n",
       "5  0.615646  (Attrition_No, BusinessTravel_Travel_Rarely)     \n",
       "6  0.563265  (Attrition_No, Department_Research & Development)\n",
       "7  0.522449  (Attrition_No, Gender_Male)                      \n",
       "8  0.505442  (Attrition_No, JobInvolvement_3)                 "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Apriori min support\n",
    "min_support = 0.5\n",
    "#Max lenght of apriori n-grams\n",
    "max_len = 5\n",
    "frequent_items = apriori(df, use_colnames=True, min_support=min_support, max_len=max_len + 1)\n",
    "frequent_items"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
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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>1949</th>\n",
       "      <td>(BusinessTravel_Travel_Rarely, JobLevel_2, Department_Research &amp; Development)</td>\n",
       "      <td>(Attrition_No)</td>\n",
       "      <td>0.144898</td>\n",
       "      <td>0.838776</td>\n",
       "      <td>0.139456</td>\n",
       "      <td>0.962441</td>\n",
       "      <td>1.147436</td>\n",
       "      <td>0.017919</td>\n",
       "      <td>4.292602</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2525</th>\n",
       "      <td>(Gender_Male, JobLevel_2, Department_Research &amp; Development)</td>\n",
       "      <td>(Attrition_No)</td>\n",
       "      <td>0.119048</td>\n",
       "      <td>0.838776</td>\n",
       "      <td>0.112925</td>\n",
       "      <td>0.948571</td>\n",
       "      <td>1.130900</td>\n",
       "      <td>0.013071</td>\n",
       "      <td>3.134921</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1036</th>\n",
       "      <td>(JobLevel_2, JobSatisfaction_4)</td>\n",
       "      <td>(Attrition_No)</td>\n",
       "      <td>0.117007</td>\n",
       "      <td>0.838776</td>\n",
       "      <td>0.110884</td>\n",
       "      <td>0.947674</td>\n",
       "      <td>1.129831</td>\n",
       "      <td>0.012742</td>\n",
       "      <td>3.081179</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>598</th>\n",
       "      <td>(JobLevel_2, Department_Research &amp; Development)</td>\n",
       "      <td>(Attrition_No)</td>\n",
       "      <td>0.191156</td>\n",
       "      <td>0.838776</td>\n",
       "      <td>0.180952</td>\n",
       "      <td>0.946619</td>\n",
       "      <td>1.128573</td>\n",
       "      <td>0.020615</td>\n",
       "      <td>3.020272</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2576</th>\n",
       "      <td>(JobLevel_2, JobInvolvement_3, Department_Research &amp; Development)</td>\n",
       "      <td>(Attrition_No)</td>\n",
       "      <td>0.111565</td>\n",
       "      <td>0.838776</td>\n",
       "      <td>0.105442</td>\n",
       "      <td>0.945122</td>\n",
       "      <td>1.126788</td>\n",
       "      <td>0.011865</td>\n",
       "      <td>2.937868</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2109</th>\n",
       "      <td>(EducationField_Life Sciences, BusinessTravel_Travel_Rarely, JobLevel_2)</td>\n",
       "      <td>(Attrition_No)</td>\n",
       "      <td>0.108163</td>\n",
       "      <td>0.838776</td>\n",
       "      <td>0.102041</td>\n",
       "      <td>0.943396</td>\n",
       "      <td>1.124730</td>\n",
       "      <td>0.011316</td>\n",
       "      <td>2.848299</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2337</th>\n",
       "      <td>(BusinessTravel_Travel_Rarely, JobLevel_2, MaritalStatus_Married)</td>\n",
       "      <td>(Attrition_No)</td>\n",
       "      <td>0.128571</td>\n",
       "      <td>0.838776</td>\n",
       "      <td>0.120408</td>\n",
       "      <td>0.936508</td>\n",
       "      <td>1.116518</td>\n",
       "      <td>0.012566</td>\n",
       "      <td>2.539286</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2762</th>\n",
       "      <td>(Gender_Male, JobInvolvement_3, JobSatisfaction_4)</td>\n",
       "      <td>(Attrition_No)</td>\n",
       "      <td>0.107483</td>\n",
       "      <td>0.838776</td>\n",
       "      <td>0.100000</td>\n",
       "      <td>0.930380</td>\n",
       "      <td>1.109212</td>\n",
       "      <td>0.009846</td>\n",
       "      <td>2.315770</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>792</th>\n",
       "      <td>(EducationField_Life Sciences, JobLevel_2)</td>\n",
       "      <td>(Attrition_No)</td>\n",
       "      <td>0.146939</td>\n",
       "      <td>0.838776</td>\n",
       "      <td>0.136054</td>\n",
       "      <td>0.925926</td>\n",
       "      <td>1.103902</td>\n",
       "      <td>0.012806</td>\n",
       "      <td>2.176531</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2717</th>\n",
       "      <td>(Gender_Male, JobInvolvement_3, EnvironmentSatisfaction_3)</td>\n",
       "      <td>(Attrition_No)</td>\n",
       "      <td>0.112925</td>\n",
       "      <td>0.838776</td>\n",
       "      <td>0.104082</td>\n",
       "      <td>0.921687</td>\n",
       "      <td>1.098848</td>\n",
       "      <td>0.009363</td>\n",
       "      <td>2.058713</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                                        antecedents  \\\n",
       "1949  (BusinessTravel_Travel_Rarely, JobLevel_2, Department_Research & Development)   \n",
       "2525  (Gender_Male, JobLevel_2, Department_Research & Development)                    \n",
       "1036  (JobLevel_2, JobSatisfaction_4)                                                 \n",
       "598   (JobLevel_2, Department_Research & Development)                                 \n",
       "2576  (JobLevel_2, JobInvolvement_3, Department_Research & Development)               \n",
       "2109  (EducationField_Life Sciences, BusinessTravel_Travel_Rarely, JobLevel_2)        \n",
       "2337  (BusinessTravel_Travel_Rarely, JobLevel_2, MaritalStatus_Married)               \n",
       "2762  (Gender_Male, JobInvolvement_3, JobSatisfaction_4)                              \n",
       "792   (EducationField_Life Sciences, JobLevel_2)                                      \n",
       "2717  (Gender_Male, JobInvolvement_3, EnvironmentSatisfaction_3)                      \n",
       "\n",
       "         consequents  antecedent support  consequent support   support  \\\n",
       "1949  (Attrition_No)  0.144898            0.838776            0.139456   \n",
       "2525  (Attrition_No)  0.119048            0.838776            0.112925   \n",
       "1036  (Attrition_No)  0.117007            0.838776            0.110884   \n",
       "598   (Attrition_No)  0.191156            0.838776            0.180952   \n",
       "2576  (Attrition_No)  0.111565            0.838776            0.105442   \n",
       "2109  (Attrition_No)  0.108163            0.838776            0.102041   \n",
       "2337  (Attrition_No)  0.128571            0.838776            0.120408   \n",
       "2762  (Attrition_No)  0.107483            0.838776            0.100000   \n",
       "792   (Attrition_No)  0.146939            0.838776            0.136054   \n",
       "2717  (Attrition_No)  0.112925            0.838776            0.104082   \n",
       "\n",
       "      confidence      lift  leverage  conviction  \n",
       "1949  0.962441    1.147436  0.017919  4.292602    \n",
       "2525  0.948571    1.130900  0.013071  3.134921    \n",
       "1036  0.947674    1.129831  0.012742  3.081179    \n",
       "598   0.946619    1.128573  0.020615  3.020272    \n",
       "2576  0.945122    1.126788  0.011865  2.937868    \n",
       "2109  0.943396    1.124730  0.011316  2.848299    \n",
       "2337  0.936508    1.116518  0.012566  2.539286    \n",
       "2762  0.930380    1.109212  0.009846  2.315770    \n",
       "792   0.925926    1.103902  0.012806  2.176531    \n",
       "2717  0.921687    1.098848  0.009363  2.058713    "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Apriori min support\n",
    "min_support = 0.1\n",
    "\n",
    "#Max lenght of apriori n-grams\n",
    "max_len = 3\n",
    "\n",
    "frequent_items = apriori(df, use_colnames=True, min_support=min_support, max_len=max_len + 1)\n",
    "rules = association_rules(frequent_items, metric='lift', min_threshold=1)\n",
    "\n",
    "target = '{\\'Attrition_No\\'}'\n",
    "\n",
    "results_attrition_no = rules[rules['consequents'].astype(str).str.contains(target, na=False)].sort_values(by='confidence', ascending=False)\n",
    "\n",
    "results_attrition_no.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
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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",
       "      <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>66757</th>\n",
       "      <td>(Gender_Female, JobLevel_1, MaritalStatus_Single)</td>\n",
       "      <td>(Attrition_Yes)</td>\n",
       "      <td>0.053741</td>\n",
       "      <td>0.161224</td>\n",
       "      <td>0.023129</td>\n",
       "      <td>0.430380</td>\n",
       "      <td>2.669444</td>\n",
       "      <td>0.014465</td>\n",
       "      <td>1.472517</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5346</th>\n",
       "      <td>(JobRole_Sales Representative, JobLevel_1)</td>\n",
       "      <td>(Attrition_Yes)</td>\n",
       "      <td>0.051701</td>\n",
       "      <td>0.161224</td>\n",
       "      <td>0.021769</td>\n",
       "      <td>0.421053</td>\n",
       "      <td>2.611592</td>\n",
       "      <td>0.013433</td>\n",
       "      <td>1.448794</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66605</th>\n",
       "      <td>(JobRole_Sales Representative, JobLevel_1, Department_Sales)</td>\n",
       "      <td>(Attrition_Yes)</td>\n",
       "      <td>0.051701</td>\n",
       "      <td>0.161224</td>\n",
       "      <td>0.021769</td>\n",
       "      <td>0.421053</td>\n",
       "      <td>2.611592</td>\n",
       "      <td>0.013433</td>\n",
       "      <td>1.448794</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4992</th>\n",
       "      <td>(JobLevel_1, Department_Sales)</td>\n",
       "      <td>(Attrition_Yes)</td>\n",
       "      <td>0.051701</td>\n",
       "      <td>0.161224</td>\n",
       "      <td>0.021769</td>\n",
       "      <td>0.421053</td>\n",
       "      <td>2.611592</td>\n",
       "      <td>0.013433</td>\n",
       "      <td>1.448794</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66217</th>\n",
       "      <td>(JobLevel_1, MaritalStatus_Single, BusinessTravel_Travel_Rarely)</td>\n",
       "      <td>(Attrition_Yes)</td>\n",
       "      <td>0.098639</td>\n",
       "      <td>0.161224</td>\n",
       "      <td>0.040816</td>\n",
       "      <td>0.413793</td>\n",
       "      <td>2.566565</td>\n",
       "      <td>0.024913</td>\n",
       "      <td>1.430852</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66178</th>\n",
       "      <td>(JobSatisfaction_1, BusinessTravel_Travel_Rarely, JobLevel_1)</td>\n",
       "      <td>(Attrition_Yes)</td>\n",
       "      <td>0.051020</td>\n",
       "      <td>0.161224</td>\n",
       "      <td>0.021088</td>\n",
       "      <td>0.413333</td>\n",
       "      <td>2.563713</td>\n",
       "      <td>0.012863</td>\n",
       "      <td>1.429731</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66688</th>\n",
       "      <td>(Education_3, MaritalStatus_Single, JobLevel_1)</td>\n",
       "      <td>(Attrition_Yes)</td>\n",
       "      <td>0.061224</td>\n",
       "      <td>0.161224</td>\n",
       "      <td>0.025170</td>\n",
       "      <td>0.411111</td>\n",
       "      <td>2.549930</td>\n",
       "      <td>0.015299</td>\n",
       "      <td>1.424336</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5006</th>\n",
       "      <td>(JobRole_Sales Representative, Department_Sales)</td>\n",
       "      <td>(Attrition_Yes)</td>\n",
       "      <td>0.056463</td>\n",
       "      <td>0.161224</td>\n",
       "      <td>0.022449</td>\n",
       "      <td>0.397590</td>\n",
       "      <td>2.466067</td>\n",
       "      <td>0.013346</td>\n",
       "      <td>1.392367</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>103</th>\n",
       "      <td>(JobRole_Sales Representative)</td>\n",
       "      <td>(Attrition_Yes)</td>\n",
       "      <td>0.056463</td>\n",
       "      <td>0.161224</td>\n",
       "      <td>0.022449</td>\n",
       "      <td>0.397590</td>\n",
       "      <td>2.466067</td>\n",
       "      <td>0.013346</td>\n",
       "      <td>1.392367</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66731</th>\n",
       "      <td>(EducationField_Life Sciences, MaritalStatus_Single, JobLevel_1)</td>\n",
       "      <td>(Attrition_Yes)</td>\n",
       "      <td>0.057823</td>\n",
       "      <td>0.161224</td>\n",
       "      <td>0.022449</td>\n",
       "      <td>0.388235</td>\n",
       "      <td>2.408042</td>\n",
       "      <td>0.013126</td>\n",
       "      <td>1.371075</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5351</th>\n",
       "      <td>(JobSatisfaction_1, JobLevel_1)</td>\n",
       "      <td>(Attrition_Yes)</td>\n",
       "      <td>0.072109</td>\n",
       "      <td>0.161224</td>\n",
       "      <td>0.027891</td>\n",
       "      <td>0.386792</td>\n",
       "      <td>2.399092</td>\n",
       "      <td>0.016265</td>\n",
       "      <td>1.367849</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5372</th>\n",
       "      <td>(MaritalStatus_Single, JobLevel_1)</td>\n",
       "      <td>(Attrition_Yes)</td>\n",
       "      <td>0.137415</td>\n",
       "      <td>0.161224</td>\n",
       "      <td>0.053061</td>\n",
       "      <td>0.386139</td>\n",
       "      <td>2.395037</td>\n",
       "      <td>0.030907</td>\n",
       "      <td>1.366392</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5171</th>\n",
       "      <td>(EnvironmentSatisfaction_1, MaritalStatus_Single)</td>\n",
       "      <td>(Attrition_Yes)</td>\n",
       "      <td>0.065306</td>\n",
       "      <td>0.161224</td>\n",
       "      <td>0.025170</td>\n",
       "      <td>0.385417</td>\n",
       "      <td>2.390559</td>\n",
       "      <td>0.014641</td>\n",
       "      <td>1.364787</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5393</th>\n",
       "      <td>(JobSatisfaction_1, MaritalStatus_Single)</td>\n",
       "      <td>(Attrition_Yes)</td>\n",
       "      <td>0.060544</td>\n",
       "      <td>0.161224</td>\n",
       "      <td>0.023129</td>\n",
       "      <td>0.382022</td>\n",
       "      <td>2.369506</td>\n",
       "      <td>0.013368</td>\n",
       "      <td>1.357291</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5165</th>\n",
       "      <td>(EnvironmentSatisfaction_1, JobLevel_1)</td>\n",
       "      <td>(Attrition_Yes)</td>\n",
       "      <td>0.072789</td>\n",
       "      <td>0.161224</td>\n",
       "      <td>0.027211</td>\n",
       "      <td>0.373832</td>\n",
       "      <td>2.318703</td>\n",
       "      <td>0.015475</td>\n",
       "      <td>1.339537</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                            antecedents  \\\n",
       "66757  (Gender_Female, JobLevel_1, MaritalStatus_Single)                  \n",
       "5346   (JobRole_Sales Representative, JobLevel_1)                         \n",
       "66605  (JobRole_Sales Representative, JobLevel_1, Department_Sales)       \n",
       "4992   (JobLevel_1, Department_Sales)                                     \n",
       "66217  (JobLevel_1, MaritalStatus_Single, BusinessTravel_Travel_Rarely)   \n",
       "66178  (JobSatisfaction_1, BusinessTravel_Travel_Rarely, JobLevel_1)      \n",
       "66688  (Education_3, MaritalStatus_Single, JobLevel_1)                    \n",
       "5006   (JobRole_Sales Representative, Department_Sales)                   \n",
       "103    (JobRole_Sales Representative)                                     \n",
       "66731  (EducationField_Life Sciences, MaritalStatus_Single, JobLevel_1)   \n",
       "5351   (JobSatisfaction_1, JobLevel_1)                                    \n",
       "5372   (MaritalStatus_Single, JobLevel_1)                                 \n",
       "5171   (EnvironmentSatisfaction_1, MaritalStatus_Single)                  \n",
       "5393   (JobSatisfaction_1, MaritalStatus_Single)                          \n",
       "5165   (EnvironmentSatisfaction_1, JobLevel_1)                            \n",
       "\n",
       "           consequents  antecedent support  consequent support   support  \\\n",
       "66757  (Attrition_Yes)  0.053741            0.161224            0.023129   \n",
       "5346   (Attrition_Yes)  0.051701            0.161224            0.021769   \n",
       "66605  (Attrition_Yes)  0.051701            0.161224            0.021769   \n",
       "4992   (Attrition_Yes)  0.051701            0.161224            0.021769   \n",
       "66217  (Attrition_Yes)  0.098639            0.161224            0.040816   \n",
       "66178  (Attrition_Yes)  0.051020            0.161224            0.021088   \n",
       "66688  (Attrition_Yes)  0.061224            0.161224            0.025170   \n",
       "5006   (Attrition_Yes)  0.056463            0.161224            0.022449   \n",
       "103    (Attrition_Yes)  0.056463            0.161224            0.022449   \n",
       "66731  (Attrition_Yes)  0.057823            0.161224            0.022449   \n",
       "5351   (Attrition_Yes)  0.072109            0.161224            0.027891   \n",
       "5372   (Attrition_Yes)  0.137415            0.161224            0.053061   \n",
       "5171   (Attrition_Yes)  0.065306            0.161224            0.025170   \n",
       "5393   (Attrition_Yes)  0.060544            0.161224            0.023129   \n",
       "5165   (Attrition_Yes)  0.072789            0.161224            0.027211   \n",
       "\n",
       "       confidence      lift  leverage  conviction  \n",
       "66757  0.430380    2.669444  0.014465  1.472517    \n",
       "5346   0.421053    2.611592  0.013433  1.448794    \n",
       "66605  0.421053    2.611592  0.013433  1.448794    \n",
       "4992   0.421053    2.611592  0.013433  1.448794    \n",
       "66217  0.413793    2.566565  0.024913  1.430852    \n",
       "66178  0.413333    2.563713  0.012863  1.429731    \n",
       "66688  0.411111    2.549930  0.015299  1.424336    \n",
       "5006   0.397590    2.466067  0.013346  1.392367    \n",
       "103    0.397590    2.466067  0.013346  1.392367    \n",
       "66731  0.388235    2.408042  0.013126  1.371075    \n",
       "5351   0.386792    2.399092  0.016265  1.367849    \n",
       "5372   0.386139    2.395037  0.030907  1.366392    \n",
       "5171   0.385417    2.390559  0.014641  1.364787    \n",
       "5393   0.382022    2.369506  0.013368  1.357291    \n",
       "5165   0.373832    2.318703  0.015475  1.339537    "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Apriori min support\n",
    "min_support = 0.02\n",
    "#Max lenght of apriori n-grams\n",
    "max_len = 3\n",
    "frequent_items = apriori(df, use_colnames=True, min_support=min_support, max_len=max_len + 1)\n",
    "rules = association_rules(frequent_items, metric='lift', min_threshold=1)\n",
    "target = '{\\'Attrition_Yes\\'}'\n",
    "results_attrition_yes = rules[rules['consequents'].astype(str).str.contains(target, na=False)].sort_values(by='confidence', ascending=False)\n",
    "results_attrition_yes.head(15)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "frequent_items['length'] = frequent_items['itemsets'].apply(lambda x: len(x))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "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",
       "      <th>length</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>0.228571</td>\n",
       "      <td>(Age_Range_&lt;=30, Attrition_No)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>0.212245</td>\n",
       "      <td>(Attrition_No, Age_Range_&gt;30 &lt;=36)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>0.209524</td>\n",
       "      <td>(Attrition_No, Age_Range_&gt;36 &lt;=43)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>0.188435</td>\n",
       "      <td>(Attrition_No, Age_Range_&gt;43)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>0.078912</td>\n",
       "      <td>(Attrition_No, BusinessTravel_Non-Travel)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>0.144218</td>\n",
       "      <td>(Attrition_No, BusinessTravel_Travel_Frequently)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>0.615646</td>\n",
       "      <td>(Attrition_No, BusinessTravel_Travel_Rarely)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>0.563265</td>\n",
       "      <td>(Attrition_No, Department_Research &amp; Development)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>0.240816</td>\n",
       "      <td>(Attrition_No, Department_Sales)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>0.248299</td>\n",
       "      <td>(Attrition_No, DistanceFromHome_Range_&lt;=2)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>0.207483</td>\n",
       "      <td>(Attrition_No, DistanceFromHome_Range_&gt;2 &lt;=5)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>0.191156</td>\n",
       "      <td>(Attrition_No, DistanceFromHome_Range_&gt;6 &lt;=15)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>0.191837</td>\n",
       "      <td>(Attrition_No, DistanceFromHome_Range_&gt;15)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>0.094558</td>\n",
       "      <td>(Attrition_No, Education_1)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>0.161905</td>\n",
       "      <td>(Attrition_No, Education_2)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>0.321769</td>\n",
       "      <td>(Education_3, Attrition_No)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>78</th>\n",
       "      <td>0.231293</td>\n",
       "      <td>(Attrition_No, Education_4)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80</th>\n",
       "      <td>0.351701</td>\n",
       "      <td>(Attrition_No, EducationField_Life Sciences)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>81</th>\n",
       "      <td>0.084354</td>\n",
       "      <td>(Attrition_No, EducationField_Marketing)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>0.272789</td>\n",
       "      <td>(Attrition_No, EducationField_Medical)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>0.068027</td>\n",
       "      <td>(EducationField_Technical Degree, Attrition_No)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85</th>\n",
       "      <td>0.144218</td>\n",
       "      <td>(EnvironmentSatisfaction_1, Attrition_No)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>0.165986</td>\n",
       "      <td>(Attrition_No, EnvironmentSatisfaction_2)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87</th>\n",
       "      <td>0.265986</td>\n",
       "      <td>(Attrition_No, EnvironmentSatisfaction_3)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>0.262585</td>\n",
       "      <td>(EnvironmentSatisfaction_4, Attrition_No)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>0.316327</td>\n",
       "      <td>(Attrition_No, Gender_Female)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>0.522449</td>\n",
       "      <td>(Attrition_No, Gender_Male)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>91</th>\n",
       "      <td>0.216327</td>\n",
       "      <td>(Attrition_No, HourlyRate_Range_&lt;=48)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>0.210884</td>\n",
       "      <td>(Attrition_No, HourlyRate_Range_&gt;48 &lt;=60)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>0.202721</td>\n",
       "      <td>(Attrition_No, HourlyRate_Range_&gt;60 &lt;=80)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>0.208844</td>\n",
       "      <td>(Attrition_No, HourlyRate_Range_&gt;80)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>0.206803</td>\n",
       "      <td>(Attrition_No, JobInvolvement_2)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>97</th>\n",
       "      <td>0.505442</td>\n",
       "      <td>(Attrition_No, JobInvolvement_3)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>0.089116</td>\n",
       "      <td>(Attrition_No, JobInvolvement_4)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>0.272109</td>\n",
       "      <td>(Attrition_No, JobLevel_1)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>0.327891</td>\n",
       "      <td>(Attrition_No, JobLevel_2)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>0.126531</td>\n",
       "      <td>(Attrition_No, JobLevel_3)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>0.068707</td>\n",
       "      <td>(Attrition_No, JobLevel_4)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>104</th>\n",
       "      <td>0.082993</td>\n",
       "      <td>(Attrition_No, JobRole_Healthcare Representative)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>106</th>\n",
       "      <td>0.134014</td>\n",
       "      <td>(Attrition_No, JobRole_Laboratory Technician)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107</th>\n",
       "      <td>0.065986</td>\n",
       "      <td>(Attrition_No, JobRole_Manager)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>108</th>\n",
       "      <td>0.091837</td>\n",
       "      <td>(Attrition_No, JobRole_Manufacturing Director)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>109</th>\n",
       "      <td>0.053061</td>\n",
       "      <td>(Attrition_No, JobRole_Research Director)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>110</th>\n",
       "      <td>0.166667</td>\n",
       "      <td>(Attrition_No, JobRole_Research Scientist)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111</th>\n",
       "      <td>0.182993</td>\n",
       "      <td>(Attrition_No, JobRole_Sales Executive)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>113</th>\n",
       "      <td>0.151701</td>\n",
       "      <td>(JobSatisfaction_1, Attrition_No)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>114</th>\n",
       "      <td>0.159184</td>\n",
       "      <td>(JobSatisfaction_2, Attrition_No)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>115</th>\n",
       "      <td>0.251020</td>\n",
       "      <td>(JobSatisfaction_3, Attrition_No)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>116</th>\n",
       "      <td>0.276871</td>\n",
       "      <td>(Attrition_No, JobSatisfaction_4)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117</th>\n",
       "      <td>0.200000</td>\n",
       "      <td>(Attrition_No, MaritalStatus_Divorced)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>118</th>\n",
       "      <td>0.400680</td>\n",
       "      <td>(Attrition_No, MaritalStatus_Married)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119</th>\n",
       "      <td>0.238095</td>\n",
       "      <td>(Attrition_No, MaritalStatus_Single)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>125</th>\n",
       "      <td>0.117687</td>\n",
       "      <td>(Attrition_Yes, BusinessTravel_Travel_Rarely)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>126</th>\n",
       "      <td>0.090476</td>\n",
       "      <td>(Attrition_Yes, Department_Research &amp; Development)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>127</th>\n",
       "      <td>0.062585</td>\n",
       "      <td>(Attrition_Yes, Department_Sales)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>134</th>\n",
       "      <td>0.067347</td>\n",
       "      <td>(Education_3, Attrition_Yes)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>136</th>\n",
       "      <td>0.060544</td>\n",
       "      <td>(Attrition_Yes, EducationField_Life Sciences)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>144</th>\n",
       "      <td>0.060544</td>\n",
       "      <td>(Attrition_Yes, Gender_Female)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>145</th>\n",
       "      <td>0.100680</td>\n",
       "      <td>(Attrition_Yes, Gender_Male)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>151</th>\n",
       "      <td>0.085034</td>\n",
       "      <td>(Attrition_Yes, JobInvolvement_3)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>152</th>\n",
       "      <td>0.097279</td>\n",
       "      <td>(Attrition_Yes, JobLevel_1)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>164</th>\n",
       "      <td>0.057143</td>\n",
       "      <td>(Attrition_Yes, MaritalStatus_Married)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>165</th>\n",
       "      <td>0.081633</td>\n",
       "      <td>(Attrition_Yes, MaritalStatus_Single)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>168</th>\n",
       "      <td>0.208844</td>\n",
       "      <td>(Age_Range_&lt;=30, BusinessTravel_Travel_Rarely)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>169</th>\n",
       "      <td>0.178231</td>\n",
       "      <td>(Age_Range_&lt;=30, Department_Research &amp; Development)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>170</th>\n",
       "      <td>0.086395</td>\n",
       "      <td>(Age_Range_&lt;=30, Department_Sales)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>171</th>\n",
       "      <td>0.075510</td>\n",
       "      <td>(Age_Range_&lt;=30, DistanceFromHome_Range_&lt;=2)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>172</th>\n",
       "      <td>0.065306</td>\n",
       "      <td>(Age_Range_&lt;=30, DistanceFromHome_Range_&gt;2 &lt;=5)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>173</th>\n",
       "      <td>0.063946</td>\n",
       "      <td>(Age_Range_&lt;=30, DistanceFromHome_Range_&gt;6 &lt;=15)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>174</th>\n",
       "      <td>0.069388</td>\n",
       "      <td>(Age_Range_&lt;=30, DistanceFromHome_Range_&gt;15)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>176</th>\n",
       "      <td>0.051020</td>\n",
       "      <td>(Age_Range_&lt;=30, Education_2)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>177</th>\n",
       "      <td>0.112245</td>\n",
       "      <td>(Age_Range_&lt;=30, Education_3)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>178</th>\n",
       "      <td>0.073469</td>\n",
       "      <td>(Age_Range_&lt;=30, Education_4)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>179</th>\n",
       "      <td>0.112925</td>\n",
       "      <td>(Age_Range_&lt;=30, EducationField_Life Sciences)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>181</th>\n",
       "      <td>0.083673</td>\n",
       "      <td>(Age_Range_&lt;=30, EducationField_Medical)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>183</th>\n",
       "      <td>0.062585</td>\n",
       "      <td>(Age_Range_&lt;=30, EnvironmentSatisfaction_1)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>185</th>\n",
       "      <td>0.084354</td>\n",
       "      <td>(Age_Range_&lt;=30, EnvironmentSatisfaction_3)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186</th>\n",
       "      <td>0.081633</td>\n",
       "      <td>(Age_Range_&lt;=30, EnvironmentSatisfaction_4)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>187</th>\n",
       "      <td>0.095238</td>\n",
       "      <td>(Age_Range_&lt;=30, Gender_Female)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>188</th>\n",
       "      <td>0.178912</td>\n",
       "      <td>(Age_Range_&lt;=30, Gender_Male)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>189</th>\n",
       "      <td>0.074150</td>\n",
       "      <td>(Age_Range_&lt;=30, HourlyRate_Range_&lt;=48)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>190</th>\n",
       "      <td>0.073469</td>\n",
       "      <td>(Age_Range_&lt;=30, HourlyRate_Range_&gt;48 &lt;=60)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191</th>\n",
       "      <td>0.070068</td>\n",
       "      <td>(Age_Range_&lt;=30, HourlyRate_Range_&gt;60 &lt;=80)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192</th>\n",
       "      <td>0.056463</td>\n",
       "      <td>(Age_Range_&lt;=30, HourlyRate_Range_&gt;80)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>193</th>\n",
       "      <td>0.076871</td>\n",
       "      <td>(Age_Range_&lt;=30, JobInvolvement_2)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>194</th>\n",
       "      <td>0.159184</td>\n",
       "      <td>(Age_Range_&lt;=30, JobInvolvement_3)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>196</th>\n",
       "      <td>0.102041</td>\n",
       "      <td>(Age_Range_&lt;=30, JobLevel_1)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>197</th>\n",
       "      <td>0.104762</td>\n",
       "      <td>(Age_Range_&lt;=30, JobLevel_2)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>203</th>\n",
       "      <td>0.055102</td>\n",
       "      <td>(Age_Range_&lt;=30, JobRole_Research Scientist)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>204</th>\n",
       "      <td>0.065986</td>\n",
       "      <td>(Age_Range_&lt;=30, JobRole_Sales Executive)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>205</th>\n",
       "      <td>0.054422</td>\n",
       "      <td>(Age_Range_&lt;=30, JobSatisfaction_1)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>207</th>\n",
       "      <td>0.087755</td>\n",
       "      <td>(JobSatisfaction_3, Age_Range_&lt;=30)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>208</th>\n",
       "      <td>0.085034</td>\n",
       "      <td>(Age_Range_&lt;=30, JobSatisfaction_4)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>209</th>\n",
       "      <td>0.066667</td>\n",
       "      <td>(Age_Range_&lt;=30, MaritalStatus_Divorced)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>210</th>\n",
       "      <td>0.119728</td>\n",
       "      <td>(Age_Range_&lt;=30, MaritalStatus_Married)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>211</th>\n",
       "      <td>0.087755</td>\n",
       "      <td>(Age_Range_&lt;=30, MaritalStatus_Single)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>213</th>\n",
       "      <td>0.050340</td>\n",
       "      <td>(Age_Range_&gt;30 &lt;=36, BusinessTravel_Travel_Frequently)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>214</th>\n",
       "      <td>0.178912</td>\n",
       "      <td>(Age_Range_&gt;30 &lt;=36, BusinessTravel_Travel_Rarely)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>215</th>\n",
       "      <td>0.161905</td>\n",
       "      <td>(Age_Range_&gt;30 &lt;=36, Department_Research &amp; Development)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>216</th>\n",
       "      <td>0.082993</td>\n",
       "      <td>(Age_Range_&gt;30 &lt;=36, Department_Sales)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>217</th>\n",
       "      <td>0.070748</td>\n",
       "      <td>(Age_Range_&gt;30 &lt;=36, DistanceFromHome_Range_&lt;=2)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>218</th>\n",
       "      <td>0.064626</td>\n",
       "      <td>(Age_Range_&gt;30 &lt;=36, DistanceFromHome_Range_&gt;2 &lt;=5)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>219</th>\n",
       "      <td>0.060544</td>\n",
       "      <td>(Age_Range_&gt;30 &lt;=36, DistanceFromHome_Range_&gt;6 &lt;=15)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>220</th>\n",
       "      <td>0.060544</td>\n",
       "      <td>(Age_Range_&gt;30 &lt;=36, DistanceFromHome_Range_&gt;15)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>222</th>\n",
       "      <td>0.055102</td>\n",
       "      <td>(Age_Range_&gt;30 &lt;=36, Education_2)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>223</th>\n",
       "      <td>0.092517</td>\n",
       "      <td>(Education_3, Age_Range_&gt;30 &lt;=36)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>224</th>\n",
       "      <td>0.062585</td>\n",
       "      <td>(Age_Range_&gt;30 &lt;=36, Education_4)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>225</th>\n",
       "      <td>0.106122</td>\n",
       "      <td>(EducationField_Life Sciences, Age_Range_&gt;30 &lt;=36)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>227</th>\n",
       "      <td>0.082993</td>\n",
       "      <td>(Age_Range_&gt;30 &lt;=36, EducationField_Medical)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>229</th>\n",
       "      <td>0.056463</td>\n",
       "      <td>(Age_Range_&gt;30 &lt;=36, EnvironmentSatisfaction_2)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>230</th>\n",
       "      <td>0.080272</td>\n",
       "      <td>(Age_Range_&gt;30 &lt;=36, EnvironmentSatisfaction_3)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>231</th>\n",
       "      <td>0.075510</td>\n",
       "      <td>(EnvironmentSatisfaction_4, Age_Range_&gt;30 &lt;=36)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>232</th>\n",
       "      <td>0.102721</td>\n",
       "      <td>(Age_Range_&gt;30 &lt;=36, Gender_Female)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>233</th>\n",
       "      <td>0.153741</td>\n",
       "      <td>(Age_Range_&gt;30 &lt;=36, Gender_Male)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>234</th>\n",
       "      <td>0.062585</td>\n",
       "      <td>(Age_Range_&gt;30 &lt;=36, HourlyRate_Range_&lt;=48)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>235</th>\n",
       "      <td>0.067347</td>\n",
       "      <td>(Age_Range_&gt;30 &lt;=36, HourlyRate_Range_&gt;48 &lt;=60)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>236</th>\n",
       "      <td>0.063265</td>\n",
       "      <td>(Age_Range_&gt;30 &lt;=36, HourlyRate_Range_&gt;60 &lt;=80)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>237</th>\n",
       "      <td>0.063265</td>\n",
       "      <td>(Age_Range_&gt;30 &lt;=36, HourlyRate_Range_&gt;80)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>238</th>\n",
       "      <td>0.051020</td>\n",
       "      <td>(Age_Range_&gt;30 &lt;=36, JobInvolvement_2)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>239</th>\n",
       "      <td>0.165306</td>\n",
       "      <td>(Age_Range_&gt;30 &lt;=36, JobInvolvement_3)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241</th>\n",
       "      <td>0.093878</td>\n",
       "      <td>(Age_Range_&gt;30 &lt;=36, JobLevel_1)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>242</th>\n",
       "      <td>0.099320</td>\n",
       "      <td>(Age_Range_&gt;30 &lt;=36, JobLevel_2)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>248</th>\n",
       "      <td>0.058503</td>\n",
       "      <td>(Age_Range_&gt;30 &lt;=36, JobRole_Sales Executive)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>251</th>\n",
       "      <td>0.074150</td>\n",
       "      <td>(JobSatisfaction_3, Age_Range_&gt;30 &lt;=36)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>252</th>\n",
       "      <td>0.087755</td>\n",
       "      <td>(Age_Range_&gt;30 &lt;=36, JobSatisfaction_4)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>253</th>\n",
       "      <td>0.051701</td>\n",
       "      <td>(Age_Range_&gt;30 &lt;=36, MaritalStatus_Divorced)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>254</th>\n",
       "      <td>0.125850</td>\n",
       "      <td>(Age_Range_&gt;30 &lt;=36, MaritalStatus_Married)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>255</th>\n",
       "      <td>0.078912</td>\n",
       "      <td>(Age_Range_&gt;30 &lt;=36, MaritalStatus_Single)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>258</th>\n",
       "      <td>0.178912</td>\n",
       "      <td>(BusinessTravel_Travel_Rarely, Age_Range_&gt;36 &lt;=43)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>259</th>\n",
       "      <td>0.161905</td>\n",
       "      <td>(Age_Range_&gt;36 &lt;=43, Department_Research &amp; Development)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>260</th>\n",
       "      <td>0.078912</td>\n",
       "      <td>(Age_Range_&gt;36 &lt;=43, Department_Sales)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>261</th>\n",
       "      <td>0.074830</td>\n",
       "      <td>(Age_Range_&gt;36 &lt;=43, DistanceFromHome_Range_&lt;=2)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262</th>\n",
       "      <td>0.065986</td>\n",
       "      <td>(Age_Range_&gt;36 &lt;=43, DistanceFromHome_Range_&gt;2 &lt;=5)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>263</th>\n",
       "      <td>0.056463</td>\n",
       "      <td>(DistanceFromHome_Range_&gt;6 &lt;=15, Age_Range_&gt;36 &lt;=43)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>264</th>\n",
       "      <td>0.055102</td>\n",
       "      <td>(Age_Range_&gt;36 &lt;=43, DistanceFromHome_Range_&gt;15)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>267</th>\n",
       "      <td>0.099320</td>\n",
       "      <td>(Education_3, Age_Range_&gt;36 &lt;=43)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>268</th>\n",
       "      <td>0.073469</td>\n",
       "      <td>(Age_Range_&gt;36 &lt;=43, Education_4)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>269</th>\n",
       "      <td>0.100680</td>\n",
       "      <td>(EducationField_Life Sciences, Age_Range_&gt;36 &lt;=43)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>271</th>\n",
       "      <td>0.081633</td>\n",
       "      <td>(Age_Range_&gt;36 &lt;=43, EducationField_Medical)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>274</th>\n",
       "      <td>0.053061</td>\n",
       "      <td>(EnvironmentSatisfaction_2, Age_Range_&gt;36 &lt;=43)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>275</th>\n",
       "      <td>0.074830</td>\n",
       "      <td>(Age_Range_&gt;36 &lt;=43, EnvironmentSatisfaction_3)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>276</th>\n",
       "      <td>0.079592</td>\n",
       "      <td>(EnvironmentSatisfaction_4, Age_Range_&gt;36 &lt;=43)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>277</th>\n",
       "      <td>0.095238</td>\n",
       "      <td>(Gender_Female, Age_Range_&gt;36 &lt;=43)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>278</th>\n",
       "      <td>0.157143</td>\n",
       "      <td>(Gender_Male, Age_Range_&gt;36 &lt;=43)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>279</th>\n",
       "      <td>0.065986</td>\n",
       "      <td>(HourlyRate_Range_&lt;=48, Age_Range_&gt;36 &lt;=43)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>280</th>\n",
       "      <td>0.061905</td>\n",
       "      <td>(Age_Range_&gt;36 &lt;=43, HourlyRate_Range_&gt;48 &lt;=60)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>281</th>\n",
       "      <td>0.050340</td>\n",
       "      <td>(Age_Range_&gt;36 &lt;=43, HourlyRate_Range_&gt;60 &lt;=80)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>282</th>\n",
       "      <td>0.074150</td>\n",
       "      <td>(Age_Range_&gt;36 &lt;=43, HourlyRate_Range_&gt;80)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>283</th>\n",
       "      <td>0.064626</td>\n",
       "      <td>(Age_Range_&gt;36 &lt;=43, JobInvolvement_2)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>284</th>\n",
       "      <td>0.146259</td>\n",
       "      <td>(Age_Range_&gt;36 &lt;=43, JobInvolvement_3)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>286</th>\n",
       "      <td>0.097279</td>\n",
       "      <td>(JobLevel_1, Age_Range_&gt;36 &lt;=43)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>287</th>\n",
       "      <td>0.081633</td>\n",
       "      <td>(Age_Range_&gt;36 &lt;=43, JobLevel_2)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>292</th>\n",
       "      <td>0.053061</td>\n",
       "      <td>(Age_Range_&gt;36 &lt;=43, JobRole_Research Scientist)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>293</th>\n",
       "      <td>0.055102</td>\n",
       "      <td>(JobRole_Sales Executive, Age_Range_&gt;36 &lt;=43)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>295</th>\n",
       "      <td>0.050340</td>\n",
       "      <td>(JobSatisfaction_2, Age_Range_&gt;36 &lt;=43)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>296</th>\n",
       "      <td>0.076871</td>\n",
       "      <td>(JobSatisfaction_3, Age_Range_&gt;36 &lt;=43)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>297</th>\n",
       "      <td>0.079592</td>\n",
       "      <td>(Age_Range_&gt;36 &lt;=43, JobSatisfaction_4)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>298</th>\n",
       "      <td>0.059864</td>\n",
       "      <td>(Age_Range_&gt;36 &lt;=43, MaritalStatus_Divorced)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>299</th>\n",
       "      <td>0.107483</td>\n",
       "      <td>(Age_Range_&gt;36 &lt;=43, MaritalStatus_Married)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>300</th>\n",
       "      <td>0.085034</td>\n",
       "      <td>(MaritalStatus_Single, Age_Range_&gt;36 &lt;=43)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>302</th>\n",
       "      <td>0.166667</td>\n",
       "      <td>(BusinessTravel_Travel_Rarely, Age_Range_&gt;43)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>303</th>\n",
       "      <td>0.151701</td>\n",
       "      <td>(Department_Research &amp; Development, Age_Range_&gt;43)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>304</th>\n",
       "      <td>0.055102</td>\n",
       "      <td>(Department_Sales, Age_Range_&gt;43)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>305</th>\n",
       "      <td>0.063946</td>\n",
       "      <td>(DistanceFromHome_Range_&lt;=2, Age_Range_&gt;43)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>307</th>\n",
       "      <td>0.050340</td>\n",
       "      <td>(DistanceFromHome_Range_&gt;6 &lt;=15, Age_Range_&gt;43)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>308</th>\n",
       "      <td>0.056463</td>\n",
       "      <td>(DistanceFromHome_Range_&gt;15, Age_Range_&gt;43)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>311</th>\n",
       "      <td>0.085034</td>\n",
       "      <td>(Education_3, Age_Range_&gt;43)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>312</th>\n",
       "      <td>0.061224</td>\n",
       "      <td>(Education_4, Age_Range_&gt;43)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>313</th>\n",
       "      <td>0.092517</td>\n",
       "      <td>(EducationField_Life Sciences, Age_Range_&gt;43)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>314</th>\n",
       "      <td>0.067347</td>\n",
       "      <td>(Age_Range_&gt;43, EducationField_Medical)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>318</th>\n",
       "      <td>0.068707</td>\n",
       "      <td>(EnvironmentSatisfaction_3, Age_Range_&gt;43)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>319</th>\n",
       "      <td>0.066667</td>\n",
       "      <td>(EnvironmentSatisfaction_4, Age_Range_&gt;43)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>320</th>\n",
       "      <td>0.083673</td>\n",
       "      <td>(Gender_Female, Age_Range_&gt;43)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>321</th>\n",
       "      <td>0.133333</td>\n",
       "      <td>(Gender_Male, Age_Range_&gt;43)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>322</th>\n",
       "      <td>0.052381</td>\n",
       "      <td>(HourlyRate_Range_&lt;=48, Age_Range_&gt;43)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>323</th>\n",
       "      <td>0.054422</td>\n",
       "      <td>(HourlyRate_Range_&gt;48 &lt;=60, Age_Range_&gt;43)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>324</th>\n",
       "      <td>0.053741</td>\n",
       "      <td>(HourlyRate_Range_&gt;60 &lt;=80, Age_Range_&gt;43)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>325</th>\n",
       "      <td>0.056463</td>\n",
       "      <td>(Age_Range_&gt;43, HourlyRate_Range_&gt;80)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>326</th>\n",
       "      <td>0.062585</td>\n",
       "      <td>(JobInvolvement_2, Age_Range_&gt;43)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>327</th>\n",
       "      <td>0.119728</td>\n",
       "      <td>(JobInvolvement_3, Age_Range_&gt;43)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>329</th>\n",
       "      <td>0.076190</td>\n",
       "      <td>(JobLevel_1, Age_Range_&gt;43)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>330</th>\n",
       "      <td>0.077551</td>\n",
       "      <td>(JobLevel_2, Age_Range_&gt;43)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>339</th>\n",
       "      <td>0.061905</td>\n",
       "      <td>(JobSatisfaction_3, Age_Range_&gt;43)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>340</th>\n",
       "      <td>0.059864</td>\n",
       "      <td>(JobSatisfaction_4, Age_Range_&gt;43)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>342</th>\n",
       "      <td>0.104762</td>\n",
       "      <td>(Age_Range_&gt;43, MaritalStatus_Married)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>343</th>\n",
       "      <td>0.068027</td>\n",
       "      <td>(MaritalStatus_Single, Age_Range_&gt;43)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>344</th>\n",
       "      <td>0.059864</td>\n",
       "      <td>(BusinessTravel_Non-Travel, Department_Research &amp; Development)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>358</th>\n",
       "      <td>0.065306</td>\n",
       "      <td>(Gender_Male, BusinessTravel_Non-Travel)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>364</th>\n",
       "      <td>0.055782</td>\n",
       "      <td>(BusinessTravel_Non-Travel, JobInvolvement_3)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>373</th>\n",
       "      <td>0.111565</td>\n",
       "      <td>(BusinessTravel_Travel_Frequently, Department_Research &amp; Development)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>374</th>\n",
       "      <td>0.051020</td>\n",
       "      <td>(BusinessTravel_Travel_Frequently, Department_Sales)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>375</th>\n",
       "      <td>0.050340</td>\n",
       "      <td>(BusinessTravel_Travel_Frequently, DistanceFromHome_Range_&lt;=2)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>380</th>\n",
       "      <td>0.068027</td>\n",
       "      <td>(Education_3, BusinessTravel_Travel_Frequently)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>381</th>\n",
       "      <td>0.052381</td>\n",
       "      <td>(BusinessTravel_Travel_Frequently, Education_4)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>382</th>\n",
       "      <td>0.076190</td>\n",
       "      <td>(EducationField_Life Sciences, BusinessTravel_Travel_Frequently)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>384</th>\n",
       "      <td>0.052381</td>\n",
       "      <td>(BusinessTravel_Travel_Frequently, EducationField_Medical)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>387</th>\n",
       "      <td>0.057823</td>\n",
       "      <td>(BusinessTravel_Travel_Frequently, EnvironmentSatisfaction_3)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>389</th>\n",
       "      <td>0.065986</td>\n",
       "      <td>(Gender_Female, BusinessTravel_Travel_Frequently)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>390</th>\n",
       "      <td>0.106803</td>\n",
       "      <td>(BusinessTravel_Travel_Frequently, Gender_Male)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>394</th>\n",
       "      <td>0.051020</td>\n",
       "      <td>(BusinessTravel_Travel_Frequently, HourlyRate_Range_&gt;80)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>396</th>\n",
       "      <td>0.106122</td>\n",
       "      <td>(BusinessTravel_Travel_Frequently, JobInvolvement_3)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>397</th>\n",
       "      <td>0.068027</td>\n",
       "      <td>(BusinessTravel_Travel_Frequently, JobLevel_1)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>398</th>\n",
       "      <td>0.059184</td>\n",
       "      <td>(BusinessTravel_Travel_Frequently, JobLevel_2)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>405</th>\n",
       "      <td>0.050340</td>\n",
       "      <td>(JobSatisfaction_3, BusinessTravel_Travel_Frequently)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>406</th>\n",
       "      <td>0.062585</td>\n",
       "      <td>(BusinessTravel_Travel_Frequently, JobSatisfaction_4)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>408</th>\n",
       "      <td>0.076871</td>\n",
       "      <td>(BusinessTravel_Travel_Frequently, MaritalStatus_Married)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>409</th>\n",
       "      <td>0.063265</td>\n",
       "      <td>(BusinessTravel_Travel_Frequently, MaritalStatus_Single)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>411</th>\n",
       "      <td>0.482313</td>\n",
       "      <td>(BusinessTravel_Travel_Rarely, Department_Research &amp; Development)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>412</th>\n",
       "      <td>0.221088</td>\n",
       "      <td>(BusinessTravel_Travel_Rarely, Department_Sales)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>413</th>\n",
       "      <td>0.202041</td>\n",
       "      <td>(BusinessTravel_Travel_Rarely, DistanceFromHome_Range_&lt;=2)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>414</th>\n",
       "      <td>0.178231</td>\n",
       "      <td>(BusinessTravel_Travel_Rarely, DistanceFromHome_Range_&gt;2 &lt;=5)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>415</th>\n",
       "      <td>0.174150</td>\n",
       "      <td>(BusinessTravel_Travel_Rarely, DistanceFromHome_Range_&gt;6 &lt;=15)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>416</th>\n",
       "      <td>0.178912</td>\n",
       "      <td>(BusinessTravel_Travel_Rarely, DistanceFromHome_Range_&gt;15)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>417</th>\n",
       "      <td>0.082993</td>\n",
       "      <td>(BusinessTravel_Travel_Rarely, Education_1)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>418</th>\n",
       "      <td>0.143537</td>\n",
       "      <td>(BusinessTravel_Travel_Rarely, Education_2)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>419</th>\n",
       "      <td>0.293197</td>\n",
       "      <td>(Education_3, BusinessTravel_Travel_Rarely)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>420</th>\n",
       "      <td>0.191156</td>\n",
       "      <td>(BusinessTravel_Travel_Rarely, Education_4)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>422</th>\n",
       "      <td>0.292517</td>\n",
       "      <td>(EducationField_Life Sciences, BusinessTravel_Travel_Rarely)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>423</th>\n",
       "      <td>0.077551</td>\n",
       "      <td>(EducationField_Marketing, BusinessTravel_Travel_Rarely)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>424</th>\n",
       "      <td>0.238095</td>\n",
       "      <td>(BusinessTravel_Travel_Rarely, EducationField_Medical)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>426</th>\n",
       "      <td>0.068027</td>\n",
       "      <td>(EducationField_Technical Degree, BusinessTravel_Travel_Rarely)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>427</th>\n",
       "      <td>0.144898</td>\n",
       "      <td>(EnvironmentSatisfaction_1, BusinessTravel_Travel_Rarely)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>428</th>\n",
       "      <td>0.139456</td>\n",
       "      <td>(BusinessTravel_Travel_Rarely, EnvironmentSatisfaction_2)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>429</th>\n",
       "      <td>0.223129</td>\n",
       "      <td>(BusinessTravel_Travel_Rarely, EnvironmentSatisfaction_3)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>430</th>\n",
       "      <td>0.225850</td>\n",
       "      <td>(EnvironmentSatisfaction_4, BusinessTravel_Travel_Rarely)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>431</th>\n",
       "      <td>0.282313</td>\n",
       "      <td>(Gender_Female, BusinessTravel_Travel_Rarely)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>432</th>\n",
       "      <td>0.451020</td>\n",
       "      <td>(BusinessTravel_Travel_Rarely, Gender_Male)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>433</th>\n",
       "      <td>0.186395</td>\n",
       "      <td>(BusinessTravel_Travel_Rarely, HourlyRate_Range_&lt;=48)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>434</th>\n",
       "      <td>0.189116</td>\n",
       "      <td>(BusinessTravel_Travel_Rarely, HourlyRate_Range_&gt;48 &lt;=60)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>435</th>\n",
       "      <td>0.182313</td>\n",
       "      <td>(BusinessTravel_Travel_Rarely, HourlyRate_Range_&gt;60 &lt;=80)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>436</th>\n",
       "      <td>0.175510</td>\n",
       "      <td>(BusinessTravel_Travel_Rarely, HourlyRate_Range_&gt;80)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>438</th>\n",
       "      <td>0.192517</td>\n",
       "      <td>(BusinessTravel_Travel_Rarely, JobInvolvement_2)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>439</th>\n",
       "      <td>0.428571</td>\n",
       "      <td>(BusinessTravel_Travel_Rarely, JobInvolvement_3)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>440</th>\n",
       "      <td>0.072789</td>\n",
       "      <td>(JobInvolvement_4, BusinessTravel_Travel_Rarely)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>441</th>\n",
       "      <td>0.268707</td>\n",
       "      <td>(BusinessTravel_Travel_Rarely, JobLevel_1)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>442</th>\n",
       "      <td>0.267347</td>\n",
       "      <td>(BusinessTravel_Travel_Rarely, JobLevel_2)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>443</th>\n",
       "      <td>0.110884</td>\n",
       "      <td>(BusinessTravel_Travel_Rarely, JobLevel_3)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>446</th>\n",
       "      <td>0.065306</td>\n",
       "      <td>(BusinessTravel_Travel_Rarely, JobRole_Healthcare Representative)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>448</th>\n",
       "      <td>0.127211</td>\n",
       "      <td>(JobRole_Laboratory Technician, BusinessTravel_Travel_Rarely)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>450</th>\n",
       "      <td>0.074150</td>\n",
       "      <td>(JobRole_Manufacturing Director, BusinessTravel_Travel_Rarely)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>452</th>\n",
       "      <td>0.148299</td>\n",
       "      <td>(BusinessTravel_Travel_Rarely, JobRole_Research Scientist)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>453</th>\n",
       "      <td>0.165306</td>\n",
       "      <td>(JobRole_Sales Executive, BusinessTravel_Travel_Rarely)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>455</th>\n",
       "      <td>0.144218</td>\n",
       "      <td>(JobSatisfaction_1, BusinessTravel_Travel_Rarely)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>456</th>\n",
       "      <td>0.146939</td>\n",
       "      <td>(JobSatisfaction_2, BusinessTravel_Travel_Rarely)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>457</th>\n",
       "      <td>0.221769</td>\n",
       "      <td>(JobSatisfaction_3, BusinessTravel_Travel_Rarely)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>458</th>\n",
       "      <td>0.220408</td>\n",
       "      <td>(BusinessTravel_Travel_Rarely, JobSatisfaction_4)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>459</th>\n",
       "      <td>0.169388</td>\n",
       "      <td>(BusinessTravel_Travel_Rarely, MaritalStatus_Divorced)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>460</th>\n",
       "      <td>0.342177</td>\n",
       "      <td>(BusinessTravel_Travel_Rarely, MaritalStatus_Married)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>461</th>\n",
       "      <td>0.221769</td>\n",
       "      <td>(BusinessTravel_Travel_Rarely, MaritalStatus_Single)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>467</th>\n",
       "      <td>0.190476</td>\n",
       "      <td>(Department_Research &amp; Development, DistanceFromHome_Range_&lt;=2)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>468</th>\n",
       "      <td>0.161224</td>\n",
       "      <td>(Department_Research &amp; Development, DistanceFromHome_Range_&gt;2 &lt;=5)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>469</th>\n",
       "      <td>0.140816</td>\n",
       "      <td>(DistanceFromHome_Range_&gt;6 &lt;=15, Department_Research &amp; Development)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>470</th>\n",
       "      <td>0.161224</td>\n",
       "      <td>(Department_Research &amp; Development, DistanceFromHome_Range_&gt;15)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>471</th>\n",
       "      <td>0.078231</td>\n",
       "      <td>(Education_1, Department_Research &amp; Development)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>472</th>\n",
       "      <td>0.123810</td>\n",
       "      <td>(Department_Research &amp; Development, Education_2)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>473</th>\n",
       "      <td>0.257823</td>\n",
       "      <td>(Education_3, Department_Research &amp; Development)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>474</th>\n",
       "      <td>0.173469</td>\n",
       "      <td>(Department_Research &amp; Development, Education_4)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>476</th>\n",
       "      <td>0.299320</td>\n",
       "      <td>(EducationField_Life Sciences, Department_Research &amp; Development)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>477</th>\n",
       "      <td>0.246939</td>\n",
       "      <td>(Department_Research &amp; Development, EducationField_Medical)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>479</th>\n",
       "      <td>0.063946</td>\n",
       "      <td>(EducationField_Technical Degree, Department_Research &amp; Development)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>480</th>\n",
       "      <td>0.127211</td>\n",
       "      <td>(EnvironmentSatisfaction_1, Department_Research &amp; Development)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>481</th>\n",
       "      <td>0.120408</td>\n",
       "      <td>(EnvironmentSatisfaction_2, Department_Research &amp; Development)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>482</th>\n",
       "      <td>0.198639</td>\n",
       "      <td>(Department_Research &amp; Development, EnvironmentSatisfaction_3)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>483</th>\n",
       "      <td>0.207483</td>\n",
       "      <td>(EnvironmentSatisfaction_4, Department_Research &amp; Development)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>484</th>\n",
       "      <td>0.251020</td>\n",
       "      <td>(Gender_Female, Department_Research &amp; Development)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>485</th>\n",
       "      <td>0.402721</td>\n",
       "      <td>(Gender_Male, Department_Research &amp; Development)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>486</th>\n",
       "      <td>0.161905</td>\n",
       "      <td>(HourlyRate_Range_&lt;=48, Department_Research &amp; Development)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>487</th>\n",
       "      <td>0.171429</td>\n",
       "      <td>(HourlyRate_Range_&gt;48 &lt;=60, Department_Research &amp; Development)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>488</th>\n",
       "      <td>0.155782</td>\n",
       "      <td>(Department_Research &amp; Development, HourlyRate_Range_&gt;60 &lt;=80)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>489</th>\n",
       "      <td>0.164626</td>\n",
       "      <td>(Department_Research &amp; Development, HourlyRate_Range_&gt;80)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>491</th>\n",
       "      <td>0.168707</td>\n",
       "      <td>(Department_Research &amp; Development, JobInvolvement_2)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>492</th>\n",
       "      <td>0.380952</td>\n",
       "      <td>(Department_Research &amp; Development, JobInvolvement_3)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>493</th>\n",
       "      <td>0.069388</td>\n",
       "      <td>(JobInvolvement_4, Department_Research &amp; Development)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>494</th>\n",
       "      <td>0.295238</td>\n",
       "      <td>(JobLevel_1, Department_Research &amp; Development)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>495</th>\n",
       "      <td>0.191156</td>\n",
       "      <td>(JobLevel_2, Department_Research &amp; Development)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>496</th>\n",
       "      <td>0.087755</td>\n",
       "      <td>(Department_Research &amp; Development, JobLevel_3)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>499</th>\n",
       "      <td>0.089116</td>\n",
       "      <td>(Department_Research &amp; Development, JobRole_Healthcare Representative)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>500</th>\n",
       "      <td>0.176190</td>\n",
       "      <td>(JobRole_Laboratory Technician, Department_Research &amp; Development)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>502</th>\n",
       "      <td>0.098639</td>\n",
       "      <td>(JobRole_Manufacturing Director, Department_Research &amp; Development)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>503</th>\n",
       "      <td>0.054422</td>\n",
       "      <td>(Department_Research &amp; Development, JobRole_Research Director)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>504</th>\n",
       "      <td>0.198639</td>\n",
       "      <td>(Department_Research &amp; Development, JobRole_Research Scientist)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>505</th>\n",
       "      <td>0.130612</td>\n",
       "      <td>(JobSatisfaction_1, Department_Research &amp; Development)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>506</th>\n",
       "      <td>0.118367</td>\n",
       "      <td>(JobSatisfaction_2, Department_Research &amp; Development)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>507</th>\n",
       "      <td>0.204082</td>\n",
       "      <td>(JobSatisfaction_3, Department_Research &amp; Development)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>508</th>\n",
       "      <td>0.200680</td>\n",
       "      <td>(Department_Research &amp; Development, JobSatisfaction_4)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>509</th>\n",
       "      <td>0.152381</td>\n",
       "      <td>(Department_Research &amp; Development, MaritalStatus_Divorced)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>510</th>\n",
       "      <td>0.294558</td>\n",
       "      <td>(Department_Research &amp; Development, MaritalStatus_Married)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>511</th>\n",
       "      <td>0.206803</td>\n",
       "      <td>(MaritalStatus_Single, Department_Research &amp; Development)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>512</th>\n",
       "      <td>0.080272</td>\n",
       "      <td>(Department_Sales, DistanceFromHome_Range_&lt;=2)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>513</th>\n",
       "      <td>0.072789</td>\n",
       "      <td>(DistanceFromHome_Range_&gt;2 &lt;=5, Department_Sales)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>514</th>\n",
       "      <td>0.079592</td>\n",
       "      <td>(DistanceFromHome_Range_&gt;6 &lt;=15, Department_Sales)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>515</th>\n",
       "      <td>0.070748</td>\n",
       "      <td>(Department_Sales, DistanceFromHome_Range_&gt;15)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>517</th>\n",
       "      <td>0.059184</td>\n",
       "      <td>(Department_Sales, Education_2)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>518</th>\n",
       "      <td>0.112925</td>\n",
       "      <td>(Education_3, Department_Sales)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>519</th>\n",
       "      <td>0.087075</td>\n",
       "      <td>(Education_4, Department_Sales)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>520</th>\n",
       "      <td>0.102041</td>\n",
       "      <td>(EducationField_Life Sciences, Department_Sales)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>521</th>\n",
       "      <td>0.108163</td>\n",
       "      <td>(EducationField_Marketing, Department_Sales)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>522</th>\n",
       "      <td>0.059864</td>\n",
       "      <td>(Department_Sales, EducationField_Medical)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>524</th>\n",
       "      <td>0.058503</td>\n",
       "      <td>(EnvironmentSatisfaction_1, Department_Sales)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>525</th>\n",
       "      <td>0.066667</td>\n",
       "      <td>(EnvironmentSatisfaction_2, Department_Sales)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>526</th>\n",
       "      <td>0.091837</td>\n",
       "      <td>(Department_Sales, EnvironmentSatisfaction_3)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>527</th>\n",
       "      <td>0.086395</td>\n",
       "      <td>(EnvironmentSatisfaction_4, Department_Sales)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>528</th>\n",
       "      <td>0.108163</td>\n",
       "      <td>(Gender_Female, Department_Sales)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>529</th>\n",
       "      <td>0.195238</td>\n",
       "      <td>(Gender_Male, Department_Sales)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>530</th>\n",
       "      <td>0.081633</td>\n",
       "      <td>(HourlyRate_Range_&lt;=48, Department_Sales)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>531</th>\n",
       "      <td>0.071429</td>\n",
       "      <td>(HourlyRate_Range_&gt;48 &lt;=60, Department_Sales)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>532</th>\n",
       "      <td>0.076190</td>\n",
       "      <td>(HourlyRate_Range_&gt;60 &lt;=80, Department_Sales)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>533</th>\n",
       "      <td>0.074150</td>\n",
       "      <td>(Department_Sales, HourlyRate_Range_&gt;80)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>534</th>\n",
       "      <td>0.074830</td>\n",
       "      <td>(Department_Sales, JobInvolvement_2)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>535</th>\n",
       "      <td>0.185034</td>\n",
       "      <td>(JobInvolvement_3, Department_Sales)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>537</th>\n",
       "      <td>0.051701</td>\n",
       "      <td>(JobLevel_1, Department_Sales)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>538</th>\n",
       "      <td>0.163265</td>\n",
       "      <td>(JobLevel_2, Department_Sales)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>539</th>\n",
       "      <td>0.056463</td>\n",
       "      <td>(JobLevel_3, Department_Sales)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>542</th>\n",
       "      <td>0.221769</td>\n",
       "      <td>(JobRole_Sales Executive, Department_Sales)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>543</th>\n",
       "      <td>0.056463</td>\n",
       "      <td>(JobRole_Sales Representative, Department_Sales)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>544</th>\n",
       "      <td>0.058503</td>\n",
       "      <td>(JobSatisfaction_1, Department_Sales)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>545</th>\n",
       "      <td>0.058503</td>\n",
       "      <td>(JobSatisfaction_2, Department_Sales)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>546</th>\n",
       "      <td>0.086395</td>\n",
       "      <td>(JobSatisfaction_3, Department_Sales)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>547</th>\n",
       "      <td>0.100000</td>\n",
       "      <td>(Department_Sales, JobSatisfaction_4)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>548</th>\n",
       "      <td>0.059184</td>\n",
       "      <td>(Department_Sales, MaritalStatus_Divorced)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>549</th>\n",
       "      <td>0.140136</td>\n",
       "      <td>(Department_Sales, MaritalStatus_Married)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>550</th>\n",
       "      <td>0.104082</td>\n",
       "      <td>(MaritalStatus_Single, Department_Sales)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>552</th>\n",
       "      <td>0.051020</td>\n",
       "      <td>(DistanceFromHome_Range_&lt;=2, Education_2)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>553</th>\n",
       "      <td>0.103401</td>\n",
       "      <td>(Education_3, DistanceFromHome_Range_&lt;=2)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>554</th>\n",
       "      <td>0.082313</td>\n",
       "      <td>(Education_4, DistanceFromHome_Range_&lt;=2)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>555</th>\n",
       "      <td>0.127211</td>\n",
       "      <td>(EducationField_Life Sciences, DistanceFromHome_Range_&lt;=2)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>557</th>\n",
       "      <td>0.086395</td>\n",
       "      <td>(DistanceFromHome_Range_&lt;=2, EducationField_Medical)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>559</th>\n",
       "      <td>0.056463</td>\n",
       "      <td>(EnvironmentSatisfaction_1, DistanceFromHome_Range_&lt;=2)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>560</th>\n",
       "      <td>0.053061</td>\n",
       "      <td>(EnvironmentSatisfaction_2, DistanceFromHome_Range_&lt;=2)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>561</th>\n",
       "      <td>0.083673</td>\n",
       "      <td>(DistanceFromHome_Range_&lt;=2, EnvironmentSatisfaction_3)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>562</th>\n",
       "      <td>0.091837</td>\n",
       "      <td>(EnvironmentSatisfaction_4, DistanceFromHome_Range_&lt;=2)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>563</th>\n",
       "      <td>0.121769</td>\n",
       "      <td>(Gender_Female, DistanceFromHome_Range_&lt;=2)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>564</th>\n",
       "      <td>0.163265</td>\n",
       "      <td>(Gender_Male, DistanceFromHome_Range_&lt;=2)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>565</th>\n",
       "      <td>0.072789</td>\n",
       "      <td>(HourlyRate_Range_&lt;=48, DistanceFromHome_Range_&lt;=2)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>566</th>\n",
       "      <td>0.070748</td>\n",
       "      <td>(HourlyRate_Range_&gt;48 &lt;=60, DistanceFromHome_Range_&lt;=2)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>567</th>\n",
       "      <td>0.068707</td>\n",
       "      <td>(HourlyRate_Range_&gt;60 &lt;=80, DistanceFromHome_Range_&lt;=2)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>568</th>\n",
       "      <td>0.072789</td>\n",
       "      <td>(DistanceFromHome_Range_&lt;=2, HourlyRate_Range_&gt;80)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>569</th>\n",
       "      <td>0.079592</td>\n",
       "      <td>(DistanceFromHome_Range_&lt;=2, JobInvolvement_2)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>570</th>\n",
       "      <td>0.161224</td>\n",
       "      <td>(JobInvolvement_3, DistanceFromHome_Range_&lt;=2)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>572</th>\n",
       "      <td>0.110884</td>\n",
       "      <td>(JobLevel_1, DistanceFromHome_Range_&lt;=2)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>573</th>\n",
       "      <td>0.098639</td>\n",
       "      <td>(JobLevel_2, DistanceFromHome_Range_&lt;=2)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>580</th>\n",
       "      <td>0.056463</td>\n",
       "      <td>(DistanceFromHome_Range_&lt;=2, JobRole_Research Scientist)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>581</th>\n",
       "      <td>0.053061</td>\n",
       "      <td>(JobRole_Sales Executive, DistanceFromHome_Range_&lt;=2)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>582</th>\n",
       "      <td>0.055782</td>\n",
       "      <td>(JobSatisfaction_1, DistanceFromHome_Range_&lt;=2)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>583</th>\n",
       "      <td>0.053061</td>\n",
       "      <td>(JobSatisfaction_2, DistanceFromHome_Range_&lt;=2)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>584</th>\n",
       "      <td>0.076871</td>\n",
       "      <td>(JobSatisfaction_3, DistanceFromHome_Range_&lt;=2)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>585</th>\n",
       "      <td>0.099320</td>\n",
       "      <td>(DistanceFromHome_Range_&lt;=2, JobSatisfaction_4)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>586</th>\n",
       "      <td>0.058503</td>\n",
       "      <td>(DistanceFromHome_Range_&lt;=2, MaritalStatus_Divorced)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>587</th>\n",
       "      <td>0.129252</td>\n",
       "      <td>(DistanceFromHome_Range_&lt;=2, MaritalStatus_Married)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>588</th>\n",
       "      <td>0.097279</td>\n",
       "      <td>(MaritalStatus_Single, DistanceFromHome_Range_&lt;=2)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>590</th>\n",
       "      <td>0.050340</td>\n",
       "      <td>(DistanceFromHome_Range_&gt;2 &lt;=5, Education_2)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>591</th>\n",
       "      <td>0.101361</td>\n",
       "      <td>(Education_3, DistanceFromHome_Range_&gt;2 &lt;=5)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>592</th>\n",
       "      <td>0.059184</td>\n",
       "      <td>(DistanceFromHome_Range_&gt;2 &lt;=5, Education_4)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>593</th>\n",
       "      <td>0.096599</td>\n",
       "      <td>(EducationField_Life Sciences, DistanceFromHome_Range_&gt;2 &lt;=5)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>595</th>\n",
       "      <td>0.077551</td>\n",
       "      <td>(DistanceFromHome_Range_&gt;2 &lt;=5, EducationField_Medical)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>599</th>\n",
       "      <td>0.074830</td>\n",
       "      <td>(DistanceFromHome_Range_&gt;2 &lt;=5, EnvironmentSatisfaction_3)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>600</th>\n",
       "      <td>0.072109</td>\n",
       "      <td>(EnvironmentSatisfaction_4, DistanceFromHome_Range_&gt;2 &lt;=5)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>601</th>\n",
       "      <td>0.087755</td>\n",
       "      <td>(Gender_Female, DistanceFromHome_Range_&gt;2 &lt;=5)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>602</th>\n",
       "      <td>0.154422</td>\n",
       "      <td>(Gender_Male, DistanceFromHome_Range_&gt;2 &lt;=5)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>603</th>\n",
       "      <td>0.074150</td>\n",
       "      <td>(HourlyRate_Range_&lt;=48, DistanceFromHome_Range_&gt;2 &lt;=5)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>604</th>\n",
       "      <td>0.064626</td>\n",
       "      <td>(HourlyRate_Range_&gt;48 &lt;=60, DistanceFromHome_Range_&gt;2 &lt;=5)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>606</th>\n",
       "      <td>0.055102</td>\n",
       "      <td>(DistanceFromHome_Range_&gt;2 &lt;=5, HourlyRate_Range_&gt;80)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>607</th>\n",
       "      <td>0.063946</td>\n",
       "      <td>(DistanceFromHome_Range_&gt;2 &lt;=5, JobInvolvement_2)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>608</th>\n",
       "      <td>0.141497</td>\n",
       "      <td>(JobInvolvement_3, DistanceFromHome_Range_&gt;2 &lt;=5)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>610</th>\n",
       "      <td>0.091156</td>\n",
       "      <td>(JobLevel_1, DistanceFromHome_Range_&gt;2 &lt;=5)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>611</th>\n",
       "      <td>0.082313</td>\n",
       "      <td>(JobLevel_2, DistanceFromHome_Range_&gt;2 &lt;=5)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>615</th>\n",
       "      <td>0.052381</td>\n",
       "      <td>(DistanceFromHome_Range_&gt;2 &lt;=5, JobRole_Research Scientist)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>616</th>\n",
       "      <td>0.052381</td>\n",
       "      <td>(JobRole_Sales Executive, DistanceFromHome_Range_&gt;2 &lt;=5)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>619</th>\n",
       "      <td>0.079592</td>\n",
       "      <td>(JobSatisfaction_3, DistanceFromHome_Range_&gt;2 &lt;=5)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>620</th>\n",
       "      <td>0.071429</td>\n",
       "      <td>(DistanceFromHome_Range_&gt;2 &lt;=5, JobSatisfaction_4)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>621</th>\n",
       "      <td>0.056463</td>\n",
       "      <td>(DistanceFromHome_Range_&gt;2 &lt;=5, MaritalStatus_Divorced)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>622</th>\n",
       "      <td>0.108844</td>\n",
       "      <td>(DistanceFromHome_Range_&gt;2 &lt;=5, MaritalStatus_Married)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>623</th>\n",
       "      <td>0.076871</td>\n",
       "      <td>(MaritalStatus_Single, DistanceFromHome_Range_&gt;2 &lt;=5)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>626</th>\n",
       "      <td>0.093197</td>\n",
       "      <td>(Education_3, DistanceFromHome_Range_&gt;6 &lt;=15)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>627</th>\n",
       "      <td>0.064626</td>\n",
       "      <td>(DistanceFromHome_Range_&gt;6 &lt;=15, Education_4)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>628</th>\n",
       "      <td>0.088435</td>\n",
       "      <td>(EducationField_Life Sciences, DistanceFromHome_Range_&gt;6 &lt;=15)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>630</th>\n",
       "      <td>0.074830</td>\n",
       "      <td>(DistanceFromHome_Range_&gt;6 &lt;=15, EducationField_Medical)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>633</th>\n",
       "      <td>0.074830</td>\n",
       "      <td>(DistanceFromHome_Range_&gt;6 &lt;=15, EnvironmentSatisfaction_3)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>634</th>\n",
       "      <td>0.068027</td>\n",
       "      <td>(EnvironmentSatisfaction_4, DistanceFromHome_Range_&gt;6 &lt;=15)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>635</th>\n",
       "      <td>0.079592</td>\n",
       "      <td>(Gender_Female, DistanceFromHome_Range_&gt;6 &lt;=15)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>636</th>\n",
       "      <td>0.151701</td>\n",
       "      <td>(Gender_Male, DistanceFromHome_Range_&gt;6 &lt;=15)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>637</th>\n",
       "      <td>0.056463</td>\n",
       "      <td>(HourlyRate_Range_&lt;=48, DistanceFromHome_Range_&gt;6 &lt;=15)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>638</th>\n",
       "      <td>0.059864</td>\n",
       "      <td>(DistanceFromHome_Range_&gt;6 &lt;=15, HourlyRate_Range_&gt;48 &lt;=60)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>639</th>\n",
       "      <td>0.057143</td>\n",
       "      <td>(DistanceFromHome_Range_&gt;6 &lt;=15, HourlyRate_Range_&gt;60 &lt;=80)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>640</th>\n",
       "      <td>0.057823</td>\n",
       "      <td>(DistanceFromHome_Range_&gt;6 &lt;=15, HourlyRate_Range_&gt;80)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>641</th>\n",
       "      <td>0.054422</td>\n",
       "      <td>(DistanceFromHome_Range_&gt;6 &lt;=15, JobInvolvement_2)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>642</th>\n",
       "      <td>0.147619</td>\n",
       "      <td>(DistanceFromHome_Range_&gt;6 &lt;=15, JobInvolvement_3)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>644</th>\n",
       "      <td>0.086395</td>\n",
       "      <td>(JobLevel_1, DistanceFromHome_Range_&gt;6 &lt;=15)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>645</th>\n",
       "      <td>0.088435</td>\n",
       "      <td>(DistanceFromHome_Range_&gt;6 &lt;=15, JobLevel_2)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>650</th>\n",
       "      <td>0.061905</td>\n",
       "      <td>(JobRole_Sales Executive, DistanceFromHome_Range_&gt;6 &lt;=15)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>652</th>\n",
       "      <td>0.050340</td>\n",
       "      <td>(JobSatisfaction_2, DistanceFromHome_Range_&gt;6 &lt;=15)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>653</th>\n",
       "      <td>0.068027</td>\n",
       "      <td>(JobSatisfaction_3, DistanceFromHome_Range_&gt;6 &lt;=15)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>654</th>\n",
       "      <td>0.065306</td>\n",
       "      <td>(DistanceFromHome_Range_&gt;6 &lt;=15, JobSatisfaction_4)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>655</th>\n",
       "      <td>0.055782</td>\n",
       "      <td>(DistanceFromHome_Range_&gt;6 &lt;=15, MaritalStatus_Divorced)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>656</th>\n",
       "      <td>0.101361</td>\n",
       "      <td>(DistanceFromHome_Range_&gt;6 &lt;=15, MaritalStatus_Married)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>657</th>\n",
       "      <td>0.074150</td>\n",
       "      <td>(MaritalStatus_Single, DistanceFromHome_Range_&gt;6 &lt;=15)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>660</th>\n",
       "      <td>0.091156</td>\n",
       "      <td>(Education_3, DistanceFromHome_Range_&gt;15)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>661</th>\n",
       "      <td>0.064626</td>\n",
       "      <td>(Education_4, DistanceFromHome_Range_&gt;15)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>662</th>\n",
       "      <td>0.100000</td>\n",
       "      <td>(EducationField_Life Sciences, DistanceFromHome_Range_&gt;15)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>664</th>\n",
       "      <td>0.076871</td>\n",
       "      <td>(DistanceFromHome_Range_&gt;15, EducationField_Medical)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>668</th>\n",
       "      <td>0.074830</td>\n",
       "      <td>(EnvironmentSatisfaction_3, DistanceFromHome_Range_&gt;15)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>669</th>\n",
       "      <td>0.071429</td>\n",
       "      <td>(EnvironmentSatisfaction_4, DistanceFromHome_Range_&gt;15)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>670</th>\n",
       "      <td>0.087755</td>\n",
       "      <td>(Gender_Female, DistanceFromHome_Range_&gt;15)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>671</th>\n",
       "      <td>0.153741</td>\n",
       "      <td>(Gender_Male, DistanceFromHome_Range_&gt;15)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>672</th>\n",
       "      <td>0.051701</td>\n",
       "      <td>(HourlyRate_Range_&lt;=48, DistanceFromHome_Range_&gt;15)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>673</th>\n",
       "      <td>0.061905</td>\n",
       "      <td>(HourlyRate_Range_&gt;48 &lt;=60, DistanceFromHome_Range_&gt;15)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>674</th>\n",
       "      <td>0.063265</td>\n",
       "      <td>(HourlyRate_Range_&gt;60 &lt;=80, DistanceFromHome_Range_&gt;15)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>675</th>\n",
       "      <td>0.064626</td>\n",
       "      <td>(DistanceFromHome_Range_&gt;15, HourlyRate_Range_&gt;80)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>676</th>\n",
       "      <td>0.057143</td>\n",
       "      <td>(JobInvolvement_2, DistanceFromHome_Range_&gt;15)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>677</th>\n",
       "      <td>0.140136</td>\n",
       "      <td>(JobInvolvement_3, DistanceFromHome_Range_&gt;15)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>679</th>\n",
       "      <td>0.080952</td>\n",
       "      <td>(JobLevel_1, DistanceFromHome_Range_&gt;15)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>680</th>\n",
       "      <td>0.093878</td>\n",
       "      <td>(JobLevel_2, DistanceFromHome_Range_&gt;15)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>687</th>\n",
       "      <td>0.054422</td>\n",
       "      <td>(JobRole_Sales Executive, DistanceFromHome_Range_&gt;15)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>690</th>\n",
       "      <td>0.076190</td>\n",
       "      <td>(JobSatisfaction_3, DistanceFromHome_Range_&gt;15)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>691</th>\n",
       "      <td>0.076190</td>\n",
       "      <td>(JobSatisfaction_4, DistanceFromHome_Range_&gt;15)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>692</th>\n",
       "      <td>0.051701</td>\n",
       "      <td>(MaritalStatus_Divorced, DistanceFromHome_Range_&gt;15)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>693</th>\n",
       "      <td>0.118367</td>\n",
       "      <td>(DistanceFromHome_Range_&gt;15, MaritalStatus_Married)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>694</th>\n",
       "      <td>0.071429</td>\n",
       "      <td>(MaritalStatus_Single, DistanceFromHome_Range_&gt;15)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>700</th>\n",
       "      <td>0.053061</td>\n",
       "      <td>(Gender_Female, Education_1)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>701</th>\n",
       "      <td>0.062585</td>\n",
       "      <td>(Education_1, Gender_Male)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>707</th>\n",
       "      <td>0.069388</td>\n",
       "      <td>(Education_1, JobInvolvement_3)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>708</th>\n",
       "      <td>0.060544</td>\n",
       "      <td>(Education_1, JobLevel_1)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>716</th>\n",
       "      <td>0.055782</td>\n",
       "      <td>(Education_1, MaritalStatus_Married)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>718</th>\n",
       "      <td>0.078912</td>\n",
       "      <td>(EducationField_Life Sciences, Education_2)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>719</th>\n",
       "      <td>0.067347</td>\n",
       "      <td>(Education_2, EducationField_Medical)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>722</th>\n",
       "      <td>0.052381</td>\n",
       "      <td>(EnvironmentSatisfaction_3, Education_2)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>723</th>\n",
       "      <td>0.061224</td>\n",
       "      <td>(EnvironmentSatisfaction_4, Education_2)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>724</th>\n",
       "      <td>0.066667</td>\n",
       "      <td>(Gender_Female, Education_2)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>725</th>\n",
       "      <td>0.125170</td>\n",
       "      <td>(Gender_Male, Education_2)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>726</th>\n",
       "      <td>0.051701</td>\n",
       "      <td>(HourlyRate_Range_&lt;=48, Education_2)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>729</th>\n",
       "      <td>0.051020</td>\n",
       "      <td>(Education_2, HourlyRate_Range_&gt;80)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>730</th>\n",
       "      <td>0.055782</td>\n",
       "      <td>(JobInvolvement_2, Education_2)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>731</th>\n",
       "      <td>0.107483</td>\n",
       "      <td>(JobInvolvement_3, Education_2)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>732</th>\n",
       "      <td>0.063946</td>\n",
       "      <td>(JobLevel_1, Education_2)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>733</th>\n",
       "      <td>0.085034</td>\n",
       "      <td>(JobLevel_2, Education_2)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>741</th>\n",
       "      <td>0.056463</td>\n",
       "      <td>(JobSatisfaction_3, Education_2)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>742</th>\n",
       "      <td>0.063265</td>\n",
       "      <td>(JobSatisfaction_4, Education_2)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>744</th>\n",
       "      <td>0.088435</td>\n",
       "      <td>(Education_2, MaritalStatus_Married)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>745</th>\n",
       "      <td>0.054422</td>\n",
       "      <td>(MaritalStatus_Single, Education_2)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>746</th>\n",
       "      <td>0.158503</td>\n",
       "      <td>(Education_3, EducationField_Life Sciences)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>748</th>\n",
       "      <td>0.124490</td>\n",
       "      <td>(Education_3, EducationField_Medical)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>750</th>\n",
       "      <td>0.071429</td>\n",
       "      <td>(Education_3, EnvironmentSatisfaction_1)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>751</th>\n",
       "      <td>0.065986</td>\n",
       "      <td>(Education_3, EnvironmentSatisfaction_2)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>752</th>\n",
       "      <td>0.129932</td>\n",
       "      <td>(Education_3, EnvironmentSatisfaction_3)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>753</th>\n",
       "      <td>0.121769</td>\n",
       "      <td>(Education_3, EnvironmentSatisfaction_4)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>754</th>\n",
       "      <td>0.143537</td>\n",
       "      <td>(Education_3, Gender_Female)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>755</th>\n",
       "      <td>0.245578</td>\n",
       "      <td>(Education_3, Gender_Male)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>756</th>\n",
       "      <td>0.093197</td>\n",
       "      <td>(Education_3, HourlyRate_Range_&lt;=48)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>757</th>\n",
       "      <td>0.112925</td>\n",
       "      <td>(Education_3, HourlyRate_Range_&gt;48 &lt;=60)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>758</th>\n",
       "      <td>0.089796</td>\n",
       "      <td>(Education_3, HourlyRate_Range_&gt;60 &lt;=80)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>759</th>\n",
       "      <td>0.093197</td>\n",
       "      <td>(Education_3, HourlyRate_Range_&gt;80)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>761</th>\n",
       "      <td>0.094558</td>\n",
       "      <td>(Education_3, JobInvolvement_2)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>762</th>\n",
       "      <td>0.230612</td>\n",
       "      <td>(Education_3, JobInvolvement_3)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>764</th>\n",
       "      <td>0.157143</td>\n",
       "      <td>(Education_3, JobLevel_1)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>765</th>\n",
       "      <td>0.116327</td>\n",
       "      <td>(Education_3, JobLevel_2)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>766</th>\n",
       "      <td>0.066667</td>\n",
       "      <td>(Education_3, JobLevel_3)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>769</th>\n",
       "      <td>0.070748</td>\n",
       "      <td>(Education_3, JobRole_Laboratory Technician)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>773</th>\n",
       "      <td>0.082993</td>\n",
       "      <td>(Education_3, JobRole_Research Scientist)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>774</th>\n",
       "      <td>0.081633</td>\n",
       "      <td>(Education_3, JobRole_Sales Executive)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>776</th>\n",
       "      <td>0.080272</td>\n",
       "      <td>(Education_3, JobSatisfaction_1)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>777</th>\n",
       "      <td>0.087075</td>\n",
       "      <td>(JobSatisfaction_2, Education_3)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>778</th>\n",
       "      <td>0.109524</td>\n",
       "      <td>(JobSatisfaction_3, Education_3)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>779</th>\n",
       "      <td>0.112245</td>\n",
       "      <td>(Education_3, JobSatisfaction_4)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>780</th>\n",
       "      <td>0.085034</td>\n",
       "      <td>(Education_3, MaritalStatus_Divorced)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>781</th>\n",
       "      <td>0.172109</td>\n",
       "      <td>(Education_3, MaritalStatus_Married)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>782</th>\n",
       "      <td>0.131973</td>\n",
       "      <td>(Education_3, MaritalStatus_Single)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>783</th>\n",
       "      <td>0.117687</td>\n",
       "      <td>(EducationField_Life Sciences, Education_4)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>785</th>\n",
       "      <td>0.070748</td>\n",
       "      <td>(Education_4, EducationField_Medical)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>788</th>\n",
       "      <td>0.059864</td>\n",
       "      <td>(EnvironmentSatisfaction_1, Education_4)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>789</th>\n",
       "      <td>0.053061</td>\n",
       "      <td>(EnvironmentSatisfaction_2, Education_4)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>790</th>\n",
       "      <td>0.080952</td>\n",
       "      <td>(Education_4, EnvironmentSatisfaction_3)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>791</th>\n",
       "      <td>0.076871</td>\n",
       "      <td>(EnvironmentSatisfaction_4, Education_4)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>792</th>\n",
       "      <td>0.107483</td>\n",
       "      <td>(Gender_Female, Education_4)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>793</th>\n",
       "      <td>0.163265</td>\n",
       "      <td>(Gender_Male, Education_4)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>794</th>\n",
       "      <td>0.071429</td>\n",
       "      <td>(HourlyRate_Range_&lt;=48, Education_4)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>795</th>\n",
       "      <td>0.063946</td>\n",
       "      <td>(HourlyRate_Range_&gt;48 &lt;=60, Education_4)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>796</th>\n",
       "      <td>0.068707</td>\n",
       "      <td>(HourlyRate_Range_&gt;60 &lt;=80, Education_4)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>797</th>\n",
       "      <td>0.066667</td>\n",
       "      <td>(Education_4, HourlyRate_Range_&gt;80)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>798</th>\n",
       "      <td>0.068027</td>\n",
       "      <td>(Education_4, JobInvolvement_2)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>799</th>\n",
       "      <td>0.164626</td>\n",
       "      <td>(JobInvolvement_3, Education_4)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>801</th>\n",
       "      <td>0.082313</td>\n",
       "      <td>(JobLevel_1, Education_4)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>802</th>\n",
       "      <td>0.116327</td>\n",
       "      <td>(JobLevel_2, Education_4)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>807</th>\n",
       "      <td>0.053741</td>\n",
       "      <td>(Education_4, JobRole_Research Scientist)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>808</th>\n",
       "      <td>0.068707</td>\n",
       "      <td>(JobRole_Sales Executive, Education_4)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>809</th>\n",
       "      <td>0.050340</td>\n",
       "      <td>(JobSatisfaction_1, Education_4)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>811</th>\n",
       "      <td>0.086395</td>\n",
       "      <td>(JobSatisfaction_3, Education_4)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>812</th>\n",
       "      <td>0.088435</td>\n",
       "      <td>(Education_4, JobSatisfaction_4)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>813</th>\n",
       "      <td>0.061224</td>\n",
       "      <td>(Education_4, MaritalStatus_Divorced)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>814</th>\n",
       "      <td>0.123810</td>\n",
       "      <td>(Education_4, MaritalStatus_Married)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>815</th>\n",
       "      <td>0.085714</td>\n",
       "      <td>(MaritalStatus_Single, Education_4)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>817</th>\n",
       "      <td>0.088435</td>\n",
       "      <td>(EnvironmentSatisfaction_1, EducationField_Life Sciences)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>818</th>\n",
       "      <td>0.076190</td>\n",
       "      <td>(EducationField_Life Sciences, EnvironmentSatisfaction_2)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>819</th>\n",
       "      <td>0.122449</td>\n",
       "      <td>(EducationField_Life Sciences, EnvironmentSatisfaction_3)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>820</th>\n",
       "      <td>0.125170</td>\n",
       "      <td>(EnvironmentSatisfaction_4, EducationField_Life Sciences)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>821</th>\n",
       "      <td>0.146939</td>\n",
       "      <td>(EducationField_Life Sciences, Gender_Female)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>822</th>\n",
       "      <td>0.265306</td>\n",
       "      <td>(EducationField_Life Sciences, Gender_Male)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>823</th>\n",
       "      <td>0.100680</td>\n",
       "      <td>(EducationField_Life Sciences, HourlyRate_Range_&lt;=48)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>824</th>\n",
       "      <td>0.102041</td>\n",
       "      <td>(EducationField_Life Sciences, HourlyRate_Range_&gt;48 &lt;=60)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>825</th>\n",
       "      <td>0.101361</td>\n",
       "      <td>(EducationField_Life Sciences, HourlyRate_Range_&gt;60 &lt;=80)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>826</th>\n",
       "      <td>0.108163</td>\n",
       "      <td>(EducationField_Life Sciences, HourlyRate_Range_&gt;80)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>828</th>\n",
       "      <td>0.100680</td>\n",
       "      <td>(EducationField_Life Sciences, JobInvolvement_2)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>829</th>\n",
       "      <td>0.243537</td>\n",
       "      <td>(EducationField_Life Sciences, JobInvolvement_3)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>831</th>\n",
       "      <td>0.155782</td>\n",
       "      <td>(EducationField_Life Sciences, JobLevel_1)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>832</th>\n",
       "      <td>0.146939</td>\n",
       "      <td>(EducationField_Life Sciences, JobLevel_2)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>833</th>\n",
       "      <td>0.059184</td>\n",
       "      <td>(EducationField_Life Sciences, JobLevel_3)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>836</th>\n",
       "      <td>0.080952</td>\n",
       "      <td>(EducationField_Life Sciences, JobRole_Laboratory Technician)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>840</th>\n",
       "      <td>0.090476</td>\n",
       "      <td>(EducationField_Life Sciences, JobRole_Research Scientist)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>841</th>\n",
       "      <td>0.072789</td>\n",
       "      <td>(EducationField_Life Sciences, JobRole_Sales Executive)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>842</th>\n",
       "      <td>0.076871</td>\n",
       "      <td>(JobSatisfaction_1, EducationField_Life Sciences)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>843</th>\n",
       "      <td>0.068707</td>\n",
       "      <td>(JobSatisfaction_2, EducationField_Life Sciences)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>844</th>\n",
       "      <td>0.127891</td>\n",
       "      <td>(JobSatisfaction_3, EducationField_Life Sciences)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>845</th>\n",
       "      <td>0.138776</td>\n",
       "      <td>(EducationField_Life Sciences, JobSatisfaction_4)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>846</th>\n",
       "      <td>0.091156</td>\n",
       "      <td>(EducationField_Life Sciences, MaritalStatus_Divorced)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>847</th>\n",
       "      <td>0.184354</td>\n",
       "      <td>(EducationField_Life Sciences, MaritalStatus_Married)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>848</th>\n",
       "      <td>0.136735</td>\n",
       "      <td>(EducationField_Life Sciences, MaritalStatus_Single)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>853</th>\n",
       "      <td>0.063946</td>\n",
       "      <td>(EducationField_Marketing, Gender_Male)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>859</th>\n",
       "      <td>0.067347</td>\n",
       "      <td>(EducationField_Marketing, JobInvolvement_3)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>860</th>\n",
       "      <td>0.059184</td>\n",
       "      <td>(EducationField_Marketing, JobLevel_2)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>862</th>\n",
       "      <td>0.082993</td>\n",
       "      <td>(EducationField_Marketing, JobRole_Sales Executive)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>868</th>\n",
       "      <td>0.052381</td>\n",
       "      <td>(EducationField_Marketing, MaritalStatus_Married)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>870</th>\n",
       "      <td>0.059184</td>\n",
       "      <td>(EnvironmentSatisfaction_1, EducationField_Medical)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>871</th>\n",
       "      <td>0.072789</td>\n",
       "      <td>(EnvironmentSatisfaction_2, EducationField_Medical)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>872</th>\n",
       "      <td>0.091156</td>\n",
       "      <td>(EnvironmentSatisfaction_3, EducationField_Medical)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>873</th>\n",
       "      <td>0.092517</td>\n",
       "      <td>(EnvironmentSatisfaction_4, EducationField_Medical)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>874</th>\n",
       "      <td>0.127891</td>\n",
       "      <td>(Gender_Female, EducationField_Medical)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>875</th>\n",
       "      <td>0.187755</td>\n",
       "      <td>(Gender_Male, EducationField_Medical)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>876</th>\n",
       "      <td>0.082993</td>\n",
       "      <td>(HourlyRate_Range_&lt;=48, EducationField_Medical)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>877</th>\n",
       "      <td>0.082993</td>\n",
       "      <td>(HourlyRate_Range_&gt;48 &lt;=60, EducationField_Medical)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>878</th>\n",
       "      <td>0.076871</td>\n",
       "      <td>(HourlyRate_Range_&gt;60 &lt;=80, EducationField_Medical)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>879</th>\n",
       "      <td>0.072789</td>\n",
       "      <td>(HourlyRate_Range_&gt;80, EducationField_Medical)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>880</th>\n",
       "      <td>0.078912</td>\n",
       "      <td>(JobInvolvement_2, EducationField_Medical)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>881</th>\n",
       "      <td>0.184354</td>\n",
       "      <td>(JobInvolvement_3, EducationField_Medical)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>883</th>\n",
       "      <td>0.127891</td>\n",
       "      <td>(JobLevel_1, EducationField_Medical)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>884</th>\n",
       "      <td>0.104082</td>\n",
       "      <td>(JobLevel_2, EducationField_Medical)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>888</th>\n",
       "      <td>0.067347</td>\n",
       "      <td>(JobRole_Laboratory Technician, EducationField_Medical)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>892</th>\n",
       "      <td>0.070068</td>\n",
       "      <td>(JobRole_Research Scientist, EducationField_Medical)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>894</th>\n",
       "      <td>0.064626</td>\n",
       "      <td>(JobSatisfaction_1, EducationField_Medical)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>895</th>\n",
       "      <td>0.059184</td>\n",
       "      <td>(JobSatisfaction_2, EducationField_Medical)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>896</th>\n",
       "      <td>0.100680</td>\n",
       "      <td>(JobSatisfaction_3, EducationField_Medical)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>897</th>\n",
       "      <td>0.091156</td>\n",
       "      <td>(JobSatisfaction_4, EducationField_Medical)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>898</th>\n",
       "      <td>0.072789</td>\n",
       "      <td>(MaritalStatus_Divorced, EducationField_Medical)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>899</th>\n",
       "      <td>0.142857</td>\n",
       "      <td>(MaritalStatus_Married, EducationField_Medical)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>900</th>\n",
       "      <td>0.100000</td>\n",
       "      <td>(MaritalStatus_Single, EducationField_Medical)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>911</th>\n",
       "      <td>0.059864</td>\n",
       "      <td>(EducationField_Technical Degree, Gender_Male)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>915</th>\n",
       "      <td>0.055102</td>\n",
       "      <td>(EducationField_Technical Degree, JobInvolvement_3)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>923</th>\n",
       "      <td>0.074150</td>\n",
       "      <td>(EnvironmentSatisfaction_1, Gender_Female)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>924</th>\n",
       "      <td>0.119048</td>\n",
       "      <td>(EnvironmentSatisfaction_1, Gender_Male)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>926</th>\n",
       "      <td>0.057143</td>\n",
       "      <td>(EnvironmentSatisfaction_1, HourlyRate_Range_&gt;48 &lt;=60)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>929</th>\n",
       "      <td>0.050340</td>\n",
       "      <td>(EnvironmentSatisfaction_1, JobInvolvement_2)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>930</th>\n",
       "      <td>0.111565</td>\n",
       "      <td>(EnvironmentSatisfaction_1, JobInvolvement_3)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>931</th>\n",
       "      <td>0.072789</td>\n",
       "      <td>(EnvironmentSatisfaction_1, JobLevel_1)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>932</th>\n",
       "      <td>0.063946</td>\n",
       "      <td>(EnvironmentSatisfaction_1, JobLevel_2)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>939</th>\n",
       "      <td>0.068027</td>\n",
       "      <td>(JobSatisfaction_3, EnvironmentSatisfaction_1)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>940</th>\n",
       "      <td>0.057143</td>\n",
       "      <td>(EnvironmentSatisfaction_1, JobSatisfaction_4)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>942</th>\n",
       "      <td>0.084354</td>\n",
       "      <td>(EnvironmentSatisfaction_1, MaritalStatus_Married)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>943</th>\n",
       "      <td>0.065306</td>\n",
       "      <td>(EnvironmentSatisfaction_1, MaritalStatus_Single)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>944</th>\n",
       "      <td>0.074830</td>\n",
       "      <td>(Gender_Female, EnvironmentSatisfaction_2)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>945</th>\n",
       "      <td>0.120408</td>\n",
       "      <td>(Gender_Male, EnvironmentSatisfaction_2)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>948</th>\n",
       "      <td>0.050340</td>\n",
       "      <td>(EnvironmentSatisfaction_2, HourlyRate_Range_&gt;60 &lt;=80)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>949</th>\n",
       "      <td>0.051701</td>\n",
       "      <td>(EnvironmentSatisfaction_2, HourlyRate_Range_&gt;80)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>951</th>\n",
       "      <td>0.112245</td>\n",
       "      <td>(EnvironmentSatisfaction_2, JobInvolvement_3)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>953</th>\n",
       "      <td>0.069388</td>\n",
       "      <td>(JobLevel_1, EnvironmentSatisfaction_2)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>954</th>\n",
       "      <td>0.080952</td>\n",
       "      <td>(EnvironmentSatisfaction_2, JobLevel_2)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>961</th>\n",
       "      <td>0.057143</td>\n",
       "      <td>(JobSatisfaction_3, EnvironmentSatisfaction_2)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>962</th>\n",
       "      <td>0.060544</td>\n",
       "      <td>(EnvironmentSatisfaction_2, JobSatisfaction_4)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>964</th>\n",
       "      <td>0.097279</td>\n",
       "      <td>(EnvironmentSatisfaction_2, MaritalStatus_Married)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>965</th>\n",
       "      <td>0.058503</td>\n",
       "      <td>(MaritalStatus_Single, EnvironmentSatisfaction_2)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>966</th>\n",
       "      <td>0.116327</td>\n",
       "      <td>(Gender_Female, EnvironmentSatisfaction_3)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>967</th>\n",
       "      <td>0.191837</td>\n",
       "      <td>(Gender_Male, EnvironmentSatisfaction_3)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>968</th>\n",
       "      <td>0.078231</td>\n",
       "      <td>(HourlyRate_Range_&lt;=48, EnvironmentSatisfaction_3)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>969</th>\n",
       "      <td>0.077551</td>\n",
       "      <td>(HourlyRate_Range_&gt;48 &lt;=60, EnvironmentSatisfaction_3)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>970</th>\n",
       "      <td>0.071429</td>\n",
       "      <td>(HourlyRate_Range_&gt;60 &lt;=80, EnvironmentSatisfaction_3)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>971</th>\n",
       "      <td>0.080952</td>\n",
       "      <td>(EnvironmentSatisfaction_3, HourlyRate_Range_&gt;80)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>972</th>\n",
       "      <td>0.084354</td>\n",
       "      <td>(JobInvolvement_2, EnvironmentSatisfaction_3)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>973</th>\n",
       "      <td>0.180952</td>\n",
       "      <td>(JobInvolvement_3, EnvironmentSatisfaction_3)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>975</th>\n",
       "      <td>0.116327</td>\n",
       "      <td>(JobLevel_1, EnvironmentSatisfaction_3)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>976</th>\n",
       "      <td>0.104082</td>\n",
       "      <td>(JobLevel_2, EnvironmentSatisfaction_3)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>977</th>\n",
       "      <td>0.053061</td>\n",
       "      <td>(JobLevel_3, EnvironmentSatisfaction_3)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>980</th>\n",
       "      <td>0.051020</td>\n",
       "      <td>(JobRole_Laboratory Technician, EnvironmentSatisfaction_3)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>983</th>\n",
       "      <td>0.059184</td>\n",
       "      <td>(EnvironmentSatisfaction_3, JobRole_Research Scientist)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>984</th>\n",
       "      <td>0.065986</td>\n",
       "      <td>(JobRole_Sales Executive, EnvironmentSatisfaction_3)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>985</th>\n",
       "      <td>0.063946</td>\n",
       "      <td>(JobSatisfaction_1, EnvironmentSatisfaction_3)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>986</th>\n",
       "      <td>0.059184</td>\n",
       "      <td>(JobSatisfaction_2, EnvironmentSatisfaction_3)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>987</th>\n",
       "      <td>0.087075</td>\n",
       "      <td>(JobSatisfaction_3, EnvironmentSatisfaction_3)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>988</th>\n",
       "      <td>0.097959</td>\n",
       "      <td>(EnvironmentSatisfaction_3, JobSatisfaction_4)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>989</th>\n",
       "      <td>0.067347</td>\n",
       "      <td>(EnvironmentSatisfaction_3, MaritalStatus_Divorced)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>990</th>\n",
       "      <td>0.149660</td>\n",
       "      <td>(EnvironmentSatisfaction_3, MaritalStatus_Married)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>991</th>\n",
       "      <td>0.091156</td>\n",
       "      <td>(MaritalStatus_Single, EnvironmentSatisfaction_3)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>992</th>\n",
       "      <td>0.111565</td>\n",
       "      <td>(EnvironmentSatisfaction_4, Gender_Female)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>993</th>\n",
       "      <td>0.191837</td>\n",
       "      <td>(EnvironmentSatisfaction_4, Gender_Male)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>994</th>\n",
       "      <td>0.085714</td>\n",
       "      <td>(EnvironmentSatisfaction_4, HourlyRate_Range_&lt;=48)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>995</th>\n",
       "      <td>0.078912</td>\n",
       "      <td>(EnvironmentSatisfaction_4, HourlyRate_Range_&gt;48 &lt;=60)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>996</th>\n",
       "      <td>0.069388</td>\n",
       "      <td>(EnvironmentSatisfaction_4, HourlyRate_Range_&gt;60 &lt;=80)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>997</th>\n",
       "      <td>0.069388</td>\n",
       "      <td>(EnvironmentSatisfaction_4, HourlyRate_Range_&gt;80)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>998</th>\n",
       "      <td>0.079592</td>\n",
       "      <td>(EnvironmentSatisfaction_4, JobInvolvement_2)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>999</th>\n",
       "      <td>0.185714</td>\n",
       "      <td>(EnvironmentSatisfaction_4, JobInvolvement_3)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1001</th>\n",
       "      <td>0.110884</td>\n",
       "      <td>(EnvironmentSatisfaction_4, JobLevel_1)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1002</th>\n",
       "      <td>0.114286</td>\n",
       "      <td>(EnvironmentSatisfaction_4, JobLevel_2)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1006</th>\n",
       "      <td>0.055782</td>\n",
       "      <td>(EnvironmentSatisfaction_4, JobRole_Laboratory Technician)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1009</th>\n",
       "      <td>0.062585</td>\n",
       "      <td>(EnvironmentSatisfaction_4, JobRole_Research Scientist)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1010</th>\n",
       "      <td>0.063946</td>\n",
       "      <td>(EnvironmentSatisfaction_4, JobRole_Sales Executive)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1011</th>\n",
       "      <td>0.059184</td>\n",
       "      <td>(EnvironmentSatisfaction_4, JobSatisfaction_1)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1012</th>\n",
       "      <td>0.059184</td>\n",
       "      <td>(JobSatisfaction_2, EnvironmentSatisfaction_4)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1013</th>\n",
       "      <td>0.088435</td>\n",
       "      <td>(JobSatisfaction_3, EnvironmentSatisfaction_4)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1014</th>\n",
       "      <td>0.096599</td>\n",
       "      <td>(EnvironmentSatisfaction_4, JobSatisfaction_4)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1015</th>\n",
       "      <td>0.072109</td>\n",
       "      <td>(EnvironmentSatisfaction_4, MaritalStatus_Divorced)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1016</th>\n",
       "      <td>0.126531</td>\n",
       "      <td>(EnvironmentSatisfaction_4, MaritalStatus_Married)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1017</th>\n",
       "      <td>0.104762</td>\n",
       "      <td>(EnvironmentSatisfaction_4, MaritalStatus_Single)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1018</th>\n",
       "      <td>0.090476</td>\n",
       "      <td>(Gender_Female, HourlyRate_Range_&lt;=48)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1019</th>\n",
       "      <td>0.105442</td>\n",
       "      <td>(Gender_Female, HourlyRate_Range_&gt;48 &lt;=60)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1020</th>\n",
       "      <td>0.093878</td>\n",
       "      <td>(Gender_Female, HourlyRate_Range_&gt;60 &lt;=80)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1021</th>\n",
       "      <td>0.087075</td>\n",
       "      <td>(Gender_Female, HourlyRate_Range_&gt;80)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1023</th>\n",
       "      <td>0.094558</td>\n",
       "      <td>(Gender_Female, JobInvolvement_2)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1024</th>\n",
       "      <td>0.222449</td>\n",
       "      <td>(Gender_Female, JobInvolvement_3)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1026</th>\n",
       "      <td>0.146259</td>\n",
       "      <td>(Gender_Female, JobLevel_1)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1027</th>\n",
       "      <td>0.134014</td>\n",
       "      <td>(Gender_Female, JobLevel_2)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1028</th>\n",
       "      <td>0.052381</td>\n",
       "      <td>(Gender_Female, JobLevel_3)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1031</th>\n",
       "      <td>0.072789</td>\n",
       "      <td>(Gender_Female, JobRole_Laboratory Technician)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1034</th>\n",
       "      <td>0.080272</td>\n",
       "      <td>(Gender_Female, JobRole_Research Scientist)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1035</th>\n",
       "      <td>0.077551</td>\n",
       "      <td>(Gender_Female, JobRole_Sales Executive)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1036</th>\n",
       "      <td>0.065986</td>\n",
       "      <td>(JobSatisfaction_1, Gender_Female)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1037</th>\n",
       "      <td>0.068707</td>\n",
       "      <td>(JobSatisfaction_2, Gender_Female)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1038</th>\n",
       "      <td>0.115646</td>\n",
       "      <td>(JobSatisfaction_3, Gender_Female)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1039</th>\n",
       "      <td>0.126531</td>\n",
       "      <td>(Gender_Female, JobSatisfaction_4)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1040</th>\n",
       "      <td>0.080952</td>\n",
       "      <td>(Gender_Female, MaritalStatus_Divorced)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1041</th>\n",
       "      <td>0.179592</td>\n",
       "      <td>(Gender_Female, MaritalStatus_Married)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1042</th>\n",
       "      <td>0.116327</td>\n",
       "      <td>(Gender_Female, MaritalStatus_Single)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1043</th>\n",
       "      <td>0.164626</td>\n",
       "      <td>(Gender_Male, HourlyRate_Range_&lt;=48)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1044</th>\n",
       "      <td>0.151701</td>\n",
       "      <td>(Gender_Male, HourlyRate_Range_&gt;48 &lt;=60)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1045</th>\n",
       "      <td>0.143537</td>\n",
       "      <td>(Gender_Male, HourlyRate_Range_&gt;60 &lt;=80)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1046</th>\n",
       "      <td>0.163265</td>\n",
       "      <td>(Gender_Male, HourlyRate_Range_&gt;80)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1048</th>\n",
       "      <td>0.160544</td>\n",
       "      <td>(Gender_Male, JobInvolvement_2)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1049</th>\n",
       "      <td>0.368027</td>\n",
       "      <td>(Gender_Male, JobInvolvement_3)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1050</th>\n",
       "      <td>0.062585</td>\n",
       "      <td>(JobInvolvement_4, Gender_Male)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1051</th>\n",
       "      <td>0.223129</td>\n",
       "      <td>(Gender_Male, JobLevel_1)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1052</th>\n",
       "      <td>0.229252</td>\n",
       "      <td>(Gender_Male, JobLevel_2)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1053</th>\n",
       "      <td>0.095918</td>\n",
       "      <td>(Gender_Male, JobLevel_3)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1056</th>\n",
       "      <td>0.060544</td>\n",
       "      <td>(Gender_Male, JobRole_Healthcare Representative)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1058</th>\n",
       "      <td>0.103401</td>\n",
       "      <td>(JobRole_Laboratory Technician, Gender_Male)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1060</th>\n",
       "      <td>0.061905</td>\n",
       "      <td>(JobRole_Manufacturing Director, Gender_Male)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1062</th>\n",
       "      <td>0.118367</td>\n",
       "      <td>(Gender_Male, JobRole_Research Scientist)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1063</th>\n",
       "      <td>0.144218</td>\n",
       "      <td>(JobRole_Sales Executive, Gender_Male)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1065</th>\n",
       "      <td>0.130612</td>\n",
       "      <td>(JobSatisfaction_1, Gender_Male)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1066</th>\n",
       "      <td>0.121769</td>\n",
       "      <td>(JobSatisfaction_2, Gender_Male)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1067</th>\n",
       "      <td>0.185034</td>\n",
       "      <td>(JobSatisfaction_3, Gender_Male)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1068</th>\n",
       "      <td>0.185714</td>\n",
       "      <td>(Gender_Male, JobSatisfaction_4)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1069</th>\n",
       "      <td>0.141497</td>\n",
       "      <td>(Gender_Male, MaritalStatus_Divorced)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1070</th>\n",
       "      <td>0.278231</td>\n",
       "      <td>(Gender_Male, MaritalStatus_Married)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1071</th>\n",
       "      <td>0.203401</td>\n",
       "      <td>(Gender_Male, MaritalStatus_Single)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1072</th>\n",
       "      <td>0.073469</td>\n",
       "      <td>(HourlyRate_Range_&lt;=48, JobInvolvement_2)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1073</th>\n",
       "      <td>0.146259</td>\n",
       "      <td>(HourlyRate_Range_&lt;=48, JobInvolvement_3)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1075</th>\n",
       "      <td>0.085714</td>\n",
       "      <td>(HourlyRate_Range_&lt;=48, JobLevel_1)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1076</th>\n",
       "      <td>0.100000</td>\n",
       "      <td>(HourlyRate_Range_&lt;=48, JobLevel_2)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1082</th>\n",
       "      <td>0.063265</td>\n",
       "      <td>(JobRole_Sales Executive, HourlyRate_Range_&lt;=48)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1085</th>\n",
       "      <td>0.076190</td>\n",
       "      <td>(JobSatisfaction_3, HourlyRate_Range_&lt;=48)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1086</th>\n",
       "      <td>0.089796</td>\n",
       "      <td>(HourlyRate_Range_&lt;=48, JobSatisfaction_4)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1087</th>\n",
       "      <td>0.057143</td>\n",
       "      <td>(HourlyRate_Range_&lt;=48, MaritalStatus_Divorced)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1088</th>\n",
       "      <td>0.111565</td>\n",
       "      <td>(HourlyRate_Range_&lt;=48, MaritalStatus_Married)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1089</th>\n",
       "      <td>0.086395</td>\n",
       "      <td>(HourlyRate_Range_&lt;=48, MaritalStatus_Single)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1090</th>\n",
       "      <td>0.069388</td>\n",
       "      <td>(HourlyRate_Range_&gt;48 &lt;=60, JobInvolvement_2)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1091</th>\n",
       "      <td>0.148299</td>\n",
       "      <td>(HourlyRate_Range_&gt;48 &lt;=60, JobInvolvement_3)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1093</th>\n",
       "      <td>0.094558</td>\n",
       "      <td>(JobLevel_1, HourlyRate_Range_&gt;48 &lt;=60)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1094</th>\n",
       "      <td>0.087755</td>\n",
       "      <td>(JobLevel_2, HourlyRate_Range_&gt;48 &lt;=60)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1099</th>\n",
       "      <td>0.050340</td>\n",
       "      <td>(JobRole_Sales Executive, HourlyRate_Range_&gt;48 &lt;=60)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1101</th>\n",
       "      <td>0.051701</td>\n",
       "      <td>(JobSatisfaction_2, HourlyRate_Range_&gt;48 &lt;=60)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1102</th>\n",
       "      <td>0.085714</td>\n",
       "      <td>(JobSatisfaction_3, HourlyRate_Range_&gt;48 &lt;=60)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1103</th>\n",
       "      <td>0.079592</td>\n",
       "      <td>(HourlyRate_Range_&gt;48 &lt;=60, JobSatisfaction_4)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1104</th>\n",
       "      <td>0.060544</td>\n",
       "      <td>(HourlyRate_Range_&gt;48 &lt;=60, MaritalStatus_Divorced)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1105</th>\n",
       "      <td>0.115646</td>\n",
       "      <td>(HourlyRate_Range_&gt;48 &lt;=60, MaritalStatus_Married)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1106</th>\n",
       "      <td>0.080952</td>\n",
       "      <td>(MaritalStatus_Single, HourlyRate_Range_&gt;48 &lt;=60)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1107</th>\n",
       "      <td>0.051701</td>\n",
       "      <td>(HourlyRate_Range_&gt;60 &lt;=80, JobInvolvement_2)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1108</th>\n",
       "      <td>0.144898</td>\n",
       "      <td>(HourlyRate_Range_&gt;60 &lt;=80, JobInvolvement_3)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1110</th>\n",
       "      <td>0.094558</td>\n",
       "      <td>(JobLevel_1, HourlyRate_Range_&gt;60 &lt;=80)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1111</th>\n",
       "      <td>0.080952</td>\n",
       "      <td>(JobLevel_2, HourlyRate_Range_&gt;60 &lt;=80)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1114</th>\n",
       "      <td>0.055102</td>\n",
       "      <td>(HourlyRate_Range_&gt;60 &lt;=80, JobRole_Research Scientist)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1115</th>\n",
       "      <td>0.053741</td>\n",
       "      <td>(JobRole_Sales Executive, HourlyRate_Range_&gt;60 &lt;=80)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1116</th>\n",
       "      <td>0.053061</td>\n",
       "      <td>(JobSatisfaction_1, HourlyRate_Range_&gt;60 &lt;=80)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1118</th>\n",
       "      <td>0.069388</td>\n",
       "      <td>(JobSatisfaction_3, HourlyRate_Range_&gt;60 &lt;=80)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1119</th>\n",
       "      <td>0.069388</td>\n",
       "      <td>(HourlyRate_Range_&gt;60 &lt;=80, JobSatisfaction_4)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1121</th>\n",
       "      <td>0.115646</td>\n",
       "      <td>(HourlyRate_Range_&gt;60 &lt;=80, MaritalStatus_Married)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1122</th>\n",
       "      <td>0.072109</td>\n",
       "      <td>(MaritalStatus_Single, HourlyRate_Range_&gt;60 &lt;=80)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1123</th>\n",
       "      <td>0.060544</td>\n",
       "      <td>(JobInvolvement_2, HourlyRate_Range_&gt;80)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1124</th>\n",
       "      <td>0.151020</td>\n",
       "      <td>(JobInvolvement_3, HourlyRate_Range_&gt;80)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1126</th>\n",
       "      <td>0.094558</td>\n",
       "      <td>(JobLevel_1, HourlyRate_Range_&gt;80)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1127</th>\n",
       "      <td>0.094558</td>\n",
       "      <td>(JobLevel_2, HourlyRate_Range_&gt;80)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1134</th>\n",
       "      <td>0.054422</td>\n",
       "      <td>(JobRole_Sales Executive, HourlyRate_Range_&gt;80)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1135</th>\n",
       "      <td>0.058503</td>\n",
       "      <td>(JobSatisfaction_1, HourlyRate_Range_&gt;80)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1137</th>\n",
       "      <td>0.069388</td>\n",
       "      <td>(JobSatisfaction_3, HourlyRate_Range_&gt;80)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1138</th>\n",
       "      <td>0.073469</td>\n",
       "      <td>(JobSatisfaction_4, HourlyRate_Range_&gt;80)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1139</th>\n",
       "      <td>0.055102</td>\n",
       "      <td>(MaritalStatus_Divorced, HourlyRate_Range_&gt;80)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1140</th>\n",
       "      <td>0.114966</td>\n",
       "      <td>(MaritalStatus_Married, HourlyRate_Range_&gt;80)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1141</th>\n",
       "      <td>0.080272</td>\n",
       "      <td>(MaritalStatus_Single, HourlyRate_Range_&gt;80)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1146</th>\n",
       "      <td>0.093197</td>\n",
       "      <td>(JobLevel_1, JobInvolvement_2)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1147</th>\n",
       "      <td>0.087075</td>\n",
       "      <td>(JobLevel_2, JobInvolvement_2)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1153</th>\n",
       "      <td>0.056463</td>\n",
       "      <td>(JobRole_Sales Executive, JobInvolvement_2)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1154</th>\n",
       "      <td>0.051020</td>\n",
       "      <td>(JobSatisfaction_1, JobInvolvement_2)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1155</th>\n",
       "      <td>0.055102</td>\n",
       "      <td>(JobSatisfaction_2, JobInvolvement_2)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1156</th>\n",
       "      <td>0.073469</td>\n",
       "      <td>(JobSatisfaction_3, JobInvolvement_2)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1157</th>\n",
       "      <td>0.075510</td>\n",
       "      <td>(JobInvolvement_2, JobSatisfaction_4)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1159</th>\n",
       "      <td>0.119048</td>\n",
       "      <td>(JobInvolvement_2, MaritalStatus_Married)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1160</th>\n",
       "      <td>0.087755</td>\n",
       "      <td>(MaritalStatus_Single, JobInvolvement_2)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1161</th>\n",
       "      <td>0.216327</td>\n",
       "      <td>(JobLevel_1, JobInvolvement_3)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1162</th>\n",
       "      <td>0.215646</td>\n",
       "      <td>(JobLevel_2, JobInvolvement_3)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1163</th>\n",
       "      <td>0.087075</td>\n",
       "      <td>(JobInvolvement_3, JobLevel_3)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1168</th>\n",
       "      <td>0.100000</td>\n",
       "      <td>(JobRole_Laboratory Technician, JobInvolvement_3)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1170</th>\n",
       "      <td>0.056463</td>\n",
       "      <td>(JobRole_Manufacturing Director, JobInvolvement_3)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1172</th>\n",
       "      <td>0.117687</td>\n",
       "      <td>(JobInvolvement_3, JobRole_Research Scientist)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1173</th>\n",
       "      <td>0.133333</td>\n",
       "      <td>(JobRole_Sales Executive, JobInvolvement_3)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1175</th>\n",
       "      <td>0.112925</td>\n",
       "      <td>(JobSatisfaction_1, JobInvolvement_3)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1176</th>\n",
       "      <td>0.111565</td>\n",
       "      <td>(JobSatisfaction_2, JobInvolvement_3)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1177</th>\n",
       "      <td>0.178912</td>\n",
       "      <td>(JobSatisfaction_3, JobInvolvement_3)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1178</th>\n",
       "      <td>0.187075</td>\n",
       "      <td>(JobInvolvement_3, JobSatisfaction_4)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1179</th>\n",
       "      <td>0.136054</td>\n",
       "      <td>(JobInvolvement_3, MaritalStatus_Divorced)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1180</th>\n",
       "      <td>0.265986</td>\n",
       "      <td>(JobInvolvement_3, MaritalStatus_Married)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1181</th>\n",
       "      <td>0.188435</td>\n",
       "      <td>(MaritalStatus_Single, JobInvolvement_3)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1189</th>\n",
       "      <td>0.050340</td>\n",
       "      <td>(JobInvolvement_4, MaritalStatus_Married)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1192</th>\n",
       "      <td>0.136054</td>\n",
       "      <td>(JobRole_Laboratory Technician, JobLevel_1)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1193</th>\n",
       "      <td>0.159184</td>\n",
       "      <td>(JobLevel_1, JobRole_Research Scientist)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1194</th>\n",
       "      <td>0.051701</td>\n",
       "      <td>(JobRole_Sales Representative, JobLevel_1)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1195</th>\n",
       "      <td>0.072109</td>\n",
       "      <td>(JobSatisfaction_1, JobLevel_1)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1196</th>\n",
       "      <td>0.073469</td>\n",
       "      <td>(JobSatisfaction_2, JobLevel_1)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1197</th>\n",
       "      <td>0.110204</td>\n",
       "      <td>(JobSatisfaction_3, JobLevel_1)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1198</th>\n",
       "      <td>0.113605</td>\n",
       "      <td>(JobLevel_1, JobSatisfaction_4)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1199</th>\n",
       "      <td>0.074150</td>\n",
       "      <td>(JobLevel_1, MaritalStatus_Divorced)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1200</th>\n",
       "      <td>0.157823</td>\n",
       "      <td>(JobLevel_1, MaritalStatus_Married)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1201</th>\n",
       "      <td>0.137415</td>\n",
       "      <td>(JobLevel_1, MaritalStatus_Single)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1202</th>\n",
       "      <td>0.053061</td>\n",
       "      <td>(JobLevel_2, JobRole_Healthcare Representative)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1204</th>\n",
       "      <td>0.061224</td>\n",
       "      <td>(JobRole_Manufacturing Director, JobLevel_2)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1206</th>\n",
       "      <td>0.158503</td>\n",
       "      <td>(JobRole_Sales Executive, JobLevel_2)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1207</th>\n",
       "      <td>0.069388</td>\n",
       "      <td>(JobSatisfaction_1, JobLevel_2)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1208</th>\n",
       "      <td>0.065986</td>\n",
       "      <td>(JobSatisfaction_2, JobLevel_2)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1209</th>\n",
       "      <td>0.110884</td>\n",
       "      <td>(JobSatisfaction_3, JobLevel_2)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1210</th>\n",
       "      <td>0.117007</td>\n",
       "      <td>(JobLevel_2, JobSatisfaction_4)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1211</th>\n",
       "      <td>0.082993</td>\n",
       "      <td>(JobLevel_2, MaritalStatus_Divorced)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1212</th>\n",
       "      <td>0.170748</td>\n",
       "      <td>(JobLevel_2, MaritalStatus_Married)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1213</th>\n",
       "      <td>0.109524</td>\n",
       "      <td>(MaritalStatus_Single, JobLevel_2)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1216</th>\n",
       "      <td>0.053741</td>\n",
       "      <td>(JobRole_Sales Executive, JobLevel_3)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1222</th>\n",
       "      <td>0.067347</td>\n",
       "      <td>(JobLevel_3, MaritalStatus_Married)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1236</th>\n",
       "      <td>0.051020</td>\n",
       "      <td>(JobSatisfaction_3, JobRole_Laboratory Technician)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1237</th>\n",
       "      <td>0.054422</td>\n",
       "      <td>(JobRole_Laboratory Technician, JobSatisfaction_4)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1239</th>\n",
       "      <td>0.078912</td>\n",
       "      <td>(JobRole_Laboratory Technician, MaritalStatus_Married)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1240</th>\n",
       "      <td>0.059864</td>\n",
       "      <td>(JobRole_Laboratory Technician, MaritalStatus_Single)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1252</th>\n",
       "      <td>0.061224</td>\n",
       "      <td>(JobSatisfaction_3, JobRole_Research Scientist)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1253</th>\n",
       "      <td>0.064626</td>\n",
       "      <td>(JobRole_Research Scientist, JobSatisfaction_4)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1255</th>\n",
       "      <td>0.082993</td>\n",
       "      <td>(JobRole_Research Scientist, MaritalStatus_Married)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1256</th>\n",
       "      <td>0.073469</td>\n",
       "      <td>(MaritalStatus_Single, JobRole_Research Scientist)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1259</th>\n",
       "      <td>0.061905</td>\n",
       "      <td>(JobSatisfaction_3, JobRole_Sales Executive)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1260</th>\n",
       "      <td>0.076190</td>\n",
       "      <td>(JobRole_Sales Executive, JobSatisfaction_4)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1262</th>\n",
       "      <td>0.102721</td>\n",
       "      <td>(JobRole_Sales Executive, MaritalStatus_Married)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1263</th>\n",
       "      <td>0.072109</td>\n",
       "      <td>(JobRole_Sales Executive, MaritalStatus_Single)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1267</th>\n",
       "      <td>0.088435</td>\n",
       "      <td>(JobSatisfaction_1, MaritalStatus_Married)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1268</th>\n",
       "      <td>0.060544</td>\n",
       "      <td>(JobSatisfaction_1, MaritalStatus_Single)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1270</th>\n",
       "      <td>0.089116</td>\n",
       "      <td>(JobSatisfaction_2, MaritalStatus_Married)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1271</th>\n",
       "      <td>0.059864</td>\n",
       "      <td>(JobSatisfaction_2, MaritalStatus_Single)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1272</th>\n",
       "      <td>0.063946</td>\n",
       "      <td>(JobSatisfaction_3, MaritalStatus_Divorced)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1273</th>\n",
       "      <td>0.144218</td>\n",
       "      <td>(JobSatisfaction_3, MaritalStatus_Married)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1274</th>\n",
       "      <td>0.092517</td>\n",
       "      <td>(JobSatisfaction_3, MaritalStatus_Single)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1275</th>\n",
       "      <td>0.069388</td>\n",
       "      <td>(MaritalStatus_Divorced, JobSatisfaction_4)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1276</th>\n",
       "      <td>0.136054</td>\n",
       "      <td>(JobSatisfaction_4, MaritalStatus_Married)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1277</th>\n",
       "      <td>0.106803</td>\n",
       "      <td>(MaritalStatus_Single, JobSatisfaction_4)</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
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       "765   0.116327   \n",
       "766   0.066667   \n",
       "769   0.070748   \n",
       "773   0.082993   \n",
       "774   0.081633   \n",
       "776   0.080272   \n",
       "777   0.087075   \n",
       "778   0.109524   \n",
       "779   0.112245   \n",
       "780   0.085034   \n",
       "781   0.172109   \n",
       "782   0.131973   \n",
       "783   0.117687   \n",
       "785   0.070748   \n",
       "788   0.059864   \n",
       "789   0.053061   \n",
       "790   0.080952   \n",
       "791   0.076871   \n",
       "792   0.107483   \n",
       "793   0.163265   \n",
       "794   0.071429   \n",
       "795   0.063946   \n",
       "796   0.068707   \n",
       "797   0.066667   \n",
       "798   0.068027   \n",
       "799   0.164626   \n",
       "801   0.082313   \n",
       "802   0.116327   \n",
       "807   0.053741   \n",
       "808   0.068707   \n",
       "809   0.050340   \n",
       "811   0.086395   \n",
       "812   0.088435   \n",
       "813   0.061224   \n",
       "814   0.123810   \n",
       "815   0.085714   \n",
       "817   0.088435   \n",
       "818   0.076190   \n",
       "819   0.122449   \n",
       "820   0.125170   \n",
       "821   0.146939   \n",
       "822   0.265306   \n",
       "823   0.100680   \n",
       "824   0.102041   \n",
       "825   0.101361   \n",
       "826   0.108163   \n",
       "828   0.100680   \n",
       "829   0.243537   \n",
       "831   0.155782   \n",
       "832   0.146939   \n",
       "833   0.059184   \n",
       "836   0.080952   \n",
       "840   0.090476   \n",
       "841   0.072789   \n",
       "842   0.076871   \n",
       "843   0.068707   \n",
       "844   0.127891   \n",
       "845   0.138776   \n",
       "846   0.091156   \n",
       "847   0.184354   \n",
       "848   0.136735   \n",
       "853   0.063946   \n",
       "859   0.067347   \n",
       "860   0.059184   \n",
       "862   0.082993   \n",
       "868   0.052381   \n",
       "870   0.059184   \n",
       "871   0.072789   \n",
       "872   0.091156   \n",
       "873   0.092517   \n",
       "874   0.127891   \n",
       "875   0.187755   \n",
       "876   0.082993   \n",
       "877   0.082993   \n",
       "878   0.076871   \n",
       "879   0.072789   \n",
       "880   0.078912   \n",
       "881   0.184354   \n",
       "883   0.127891   \n",
       "884   0.104082   \n",
       "888   0.067347   \n",
       "892   0.070068   \n",
       "894   0.064626   \n",
       "895   0.059184   \n",
       "896   0.100680   \n",
       "897   0.091156   \n",
       "898   0.072789   \n",
       "899   0.142857   \n",
       "900   0.100000   \n",
       "911   0.059864   \n",
       "915   0.055102   \n",
       "923   0.074150   \n",
       "924   0.119048   \n",
       "926   0.057143   \n",
       "929   0.050340   \n",
       "930   0.111565   \n",
       "931   0.072789   \n",
       "932   0.063946   \n",
       "939   0.068027   \n",
       "940   0.057143   \n",
       "942   0.084354   \n",
       "943   0.065306   \n",
       "944   0.074830   \n",
       "945   0.120408   \n",
       "948   0.050340   \n",
       "949   0.051701   \n",
       "951   0.112245   \n",
       "953   0.069388   \n",
       "954   0.080952   \n",
       "961   0.057143   \n",
       "962   0.060544   \n",
       "964   0.097279   \n",
       "965   0.058503   \n",
       "966   0.116327   \n",
       "967   0.191837   \n",
       "968   0.078231   \n",
       "969   0.077551   \n",
       "970   0.071429   \n",
       "971   0.080952   \n",
       "972   0.084354   \n",
       "973   0.180952   \n",
       "975   0.116327   \n",
       "976   0.104082   \n",
       "977   0.053061   \n",
       "980   0.051020   \n",
       "983   0.059184   \n",
       "984   0.065986   \n",
       "985   0.063946   \n",
       "986   0.059184   \n",
       "987   0.087075   \n",
       "988   0.097959   \n",
       "989   0.067347   \n",
       "990   0.149660   \n",
       "991   0.091156   \n",
       "992   0.111565   \n",
       "993   0.191837   \n",
       "994   0.085714   \n",
       "995   0.078912   \n",
       "996   0.069388   \n",
       "997   0.069388   \n",
       "998   0.079592   \n",
       "999   0.185714   \n",
       "1001  0.110884   \n",
       "1002  0.114286   \n",
       "1006  0.055782   \n",
       "1009  0.062585   \n",
       "1010  0.063946   \n",
       "1011  0.059184   \n",
       "1012  0.059184   \n",
       "1013  0.088435   \n",
       "1014  0.096599   \n",
       "1015  0.072109   \n",
       "1016  0.126531   \n",
       "1017  0.104762   \n",
       "1018  0.090476   \n",
       "1019  0.105442   \n",
       "1020  0.093878   \n",
       "1021  0.087075   \n",
       "1023  0.094558   \n",
       "1024  0.222449   \n",
       "1026  0.146259   \n",
       "1027  0.134014   \n",
       "1028  0.052381   \n",
       "1031  0.072789   \n",
       "1034  0.080272   \n",
       "1035  0.077551   \n",
       "1036  0.065986   \n",
       "1037  0.068707   \n",
       "1038  0.115646   \n",
       "1039  0.126531   \n",
       "1040  0.080952   \n",
       "1041  0.179592   \n",
       "1042  0.116327   \n",
       "1043  0.164626   \n",
       "1044  0.151701   \n",
       "1045  0.143537   \n",
       "1046  0.163265   \n",
       "1048  0.160544   \n",
       "1049  0.368027   \n",
       "1050  0.062585   \n",
       "1051  0.223129   \n",
       "1052  0.229252   \n",
       "1053  0.095918   \n",
       "1056  0.060544   \n",
       "1058  0.103401   \n",
       "1060  0.061905   \n",
       "1062  0.118367   \n",
       "1063  0.144218   \n",
       "1065  0.130612   \n",
       "1066  0.121769   \n",
       "1067  0.185034   \n",
       "1068  0.185714   \n",
       "1069  0.141497   \n",
       "1070  0.278231   \n",
       "1071  0.203401   \n",
       "1072  0.073469   \n",
       "1073  0.146259   \n",
       "1075  0.085714   \n",
       "1076  0.100000   \n",
       "1082  0.063265   \n",
       "1085  0.076190   \n",
       "1086  0.089796   \n",
       "1087  0.057143   \n",
       "1088  0.111565   \n",
       "1089  0.086395   \n",
       "1090  0.069388   \n",
       "1091  0.148299   \n",
       "1093  0.094558   \n",
       "1094  0.087755   \n",
       "1099  0.050340   \n",
       "1101  0.051701   \n",
       "1102  0.085714   \n",
       "1103  0.079592   \n",
       "1104  0.060544   \n",
       "1105  0.115646   \n",
       "1106  0.080952   \n",
       "1107  0.051701   \n",
       "1108  0.144898   \n",
       "1110  0.094558   \n",
       "1111  0.080952   \n",
       "1114  0.055102   \n",
       "1115  0.053741   \n",
       "1116  0.053061   \n",
       "1118  0.069388   \n",
       "1119  0.069388   \n",
       "1121  0.115646   \n",
       "1122  0.072109   \n",
       "1123  0.060544   \n",
       "1124  0.151020   \n",
       "1126  0.094558   \n",
       "1127  0.094558   \n",
       "1134  0.054422   \n",
       "1135  0.058503   \n",
       "1137  0.069388   \n",
       "1138  0.073469   \n",
       "1139  0.055102   \n",
       "1140  0.114966   \n",
       "1141  0.080272   \n",
       "1146  0.093197   \n",
       "1147  0.087075   \n",
       "1153  0.056463   \n",
       "1154  0.051020   \n",
       "1155  0.055102   \n",
       "1156  0.073469   \n",
       "1157  0.075510   \n",
       "1159  0.119048   \n",
       "1160  0.087755   \n",
       "1161  0.216327   \n",
       "1162  0.215646   \n",
       "1163  0.087075   \n",
       "1168  0.100000   \n",
       "1170  0.056463   \n",
       "1172  0.117687   \n",
       "1173  0.133333   \n",
       "1175  0.112925   \n",
       "1176  0.111565   \n",
       "1177  0.178912   \n",
       "1178  0.187075   \n",
       "1179  0.136054   \n",
       "1180  0.265986   \n",
       "1181  0.188435   \n",
       "1189  0.050340   \n",
       "1192  0.136054   \n",
       "1193  0.159184   \n",
       "1194  0.051701   \n",
       "1195  0.072109   \n",
       "1196  0.073469   \n",
       "1197  0.110204   \n",
       "1198  0.113605   \n",
       "1199  0.074150   \n",
       "1200  0.157823   \n",
       "1201  0.137415   \n",
       "1202  0.053061   \n",
       "1204  0.061224   \n",
       "1206  0.158503   \n",
       "1207  0.069388   \n",
       "1208  0.065986   \n",
       "1209  0.110884   \n",
       "1210  0.117007   \n",
       "1211  0.082993   \n",
       "1212  0.170748   \n",
       "1213  0.109524   \n",
       "1216  0.053741   \n",
       "1222  0.067347   \n",
       "1236  0.051020   \n",
       "1237  0.054422   \n",
       "1239  0.078912   \n",
       "1240  0.059864   \n",
       "1252  0.061224   \n",
       "1253  0.064626   \n",
       "1255  0.082993   \n",
       "1256  0.073469   \n",
       "1259  0.061905   \n",
       "1260  0.076190   \n",
       "1262  0.102721   \n",
       "1263  0.072109   \n",
       "1267  0.088435   \n",
       "1268  0.060544   \n",
       "1270  0.089116   \n",
       "1271  0.059864   \n",
       "1272  0.063946   \n",
       "1273  0.144218   \n",
       "1274  0.092517   \n",
       "1275  0.069388   \n",
       "1276  0.136054   \n",
       "1277  0.106803   \n",
       "\n",
       "                                                                    itemsets  \\\n",
       "61    (Age_Range_<=30, Attrition_No)                                           \n",
       "62    (Attrition_No, Age_Range_>30 <=36)                                       \n",
       "63    (Attrition_No, Age_Range_>36 <=43)                                       \n",
       "64    (Attrition_No, Age_Range_>43)                                            \n",
       "65    (Attrition_No, BusinessTravel_Non-Travel)                                \n",
       "66    (Attrition_No, BusinessTravel_Travel_Frequently)                         \n",
       "67    (Attrition_No, BusinessTravel_Travel_Rarely)                             \n",
       "69    (Attrition_No, Department_Research & Development)                        \n",
       "70    (Attrition_No, Department_Sales)                                         \n",
       "71    (Attrition_No, DistanceFromHome_Range_<=2)                               \n",
       "72    (Attrition_No, DistanceFromHome_Range_>2 <=5)                            \n",
       "73    (Attrition_No, DistanceFromHome_Range_>6 <=15)                           \n",
       "74    (Attrition_No, DistanceFromHome_Range_>15)                               \n",
       "75    (Attrition_No, Education_1)                                              \n",
       "76    (Attrition_No, Education_2)                                              \n",
       "77    (Education_3, Attrition_No)                                              \n",
       "78    (Attrition_No, Education_4)                                              \n",
       "80    (Attrition_No, EducationField_Life Sciences)                             \n",
       "81    (Attrition_No, EducationField_Marketing)                                 \n",
       "82    (Attrition_No, EducationField_Medical)                                   \n",
       "84    (EducationField_Technical Degree, Attrition_No)                          \n",
       "85    (EnvironmentSatisfaction_1, Attrition_No)                                \n",
       "86    (Attrition_No, EnvironmentSatisfaction_2)                                \n",
       "87    (Attrition_No, EnvironmentSatisfaction_3)                                \n",
       "88    (EnvironmentSatisfaction_4, Attrition_No)                                \n",
       "89    (Attrition_No, Gender_Female)                                            \n",
       "90    (Attrition_No, Gender_Male)                                              \n",
       "91    (Attrition_No, HourlyRate_Range_<=48)                                    \n",
       "92    (Attrition_No, HourlyRate_Range_>48 <=60)                                \n",
       "93    (Attrition_No, HourlyRate_Range_>60 <=80)                                \n",
       "94    (Attrition_No, HourlyRate_Range_>80)                                     \n",
       "96    (Attrition_No, JobInvolvement_2)                                         \n",
       "97    (Attrition_No, JobInvolvement_3)                                         \n",
       "98    (Attrition_No, JobInvolvement_4)                                         \n",
       "99    (Attrition_No, JobLevel_1)                                               \n",
       "100   (Attrition_No, JobLevel_2)                                               \n",
       "101   (Attrition_No, JobLevel_3)                                               \n",
       "102   (Attrition_No, JobLevel_4)                                               \n",
       "104   (Attrition_No, JobRole_Healthcare Representative)                        \n",
       "106   (Attrition_No, JobRole_Laboratory Technician)                            \n",
       "107   (Attrition_No, JobRole_Manager)                                          \n",
       "108   (Attrition_No, JobRole_Manufacturing Director)                           \n",
       "109   (Attrition_No, JobRole_Research Director)                                \n",
       "110   (Attrition_No, JobRole_Research Scientist)                               \n",
       "111   (Attrition_No, JobRole_Sales Executive)                                  \n",
       "113   (JobSatisfaction_1, Attrition_No)                                        \n",
       "114   (JobSatisfaction_2, Attrition_No)                                        \n",
       "115   (JobSatisfaction_3, Attrition_No)                                        \n",
       "116   (Attrition_No, JobSatisfaction_4)                                        \n",
       "117   (Attrition_No, MaritalStatus_Divorced)                                   \n",
       "118   (Attrition_No, MaritalStatus_Married)                                    \n",
       "119   (Attrition_No, MaritalStatus_Single)                                     \n",
       "125   (Attrition_Yes, BusinessTravel_Travel_Rarely)                            \n",
       "126   (Attrition_Yes, Department_Research & Development)                       \n",
       "127   (Attrition_Yes, Department_Sales)                                        \n",
       "134   (Education_3, Attrition_Yes)                                             \n",
       "136   (Attrition_Yes, EducationField_Life Sciences)                            \n",
       "144   (Attrition_Yes, Gender_Female)                                           \n",
       "145   (Attrition_Yes, Gender_Male)                                             \n",
       "151   (Attrition_Yes, JobInvolvement_3)                                        \n",
       "152   (Attrition_Yes, JobLevel_1)                                              \n",
       "164   (Attrition_Yes, MaritalStatus_Married)                                   \n",
       "165   (Attrition_Yes, MaritalStatus_Single)                                    \n",
       "168   (Age_Range_<=30, BusinessTravel_Travel_Rarely)                           \n",
       "169   (Age_Range_<=30, Department_Research & Development)                      \n",
       "170   (Age_Range_<=30, Department_Sales)                                       \n",
       "171   (Age_Range_<=30, DistanceFromHome_Range_<=2)                             \n",
       "172   (Age_Range_<=30, DistanceFromHome_Range_>2 <=5)                          \n",
       "173   (Age_Range_<=30, DistanceFromHome_Range_>6 <=15)                         \n",
       "174   (Age_Range_<=30, DistanceFromHome_Range_>15)                             \n",
       "176   (Age_Range_<=30, Education_2)                                            \n",
       "177   (Age_Range_<=30, Education_3)                                            \n",
       "178   (Age_Range_<=30, Education_4)                                            \n",
       "179   (Age_Range_<=30, EducationField_Life Sciences)                           \n",
       "181   (Age_Range_<=30, EducationField_Medical)                                 \n",
       "183   (Age_Range_<=30, EnvironmentSatisfaction_1)                              \n",
       "185   (Age_Range_<=30, EnvironmentSatisfaction_3)                              \n",
       "186   (Age_Range_<=30, EnvironmentSatisfaction_4)                              \n",
       "187   (Age_Range_<=30, Gender_Female)                                          \n",
       "188   (Age_Range_<=30, Gender_Male)                                            \n",
       "189   (Age_Range_<=30, HourlyRate_Range_<=48)                                  \n",
       "190   (Age_Range_<=30, HourlyRate_Range_>48 <=60)                              \n",
       "191   (Age_Range_<=30, HourlyRate_Range_>60 <=80)                              \n",
       "192   (Age_Range_<=30, HourlyRate_Range_>80)                                   \n",
       "193   (Age_Range_<=30, JobInvolvement_2)                                       \n",
       "194   (Age_Range_<=30, JobInvolvement_3)                                       \n",
       "196   (Age_Range_<=30, JobLevel_1)                                             \n",
       "197   (Age_Range_<=30, JobLevel_2)                                             \n",
       "203   (Age_Range_<=30, JobRole_Research Scientist)                             \n",
       "204   (Age_Range_<=30, JobRole_Sales Executive)                                \n",
       "205   (Age_Range_<=30, JobSatisfaction_1)                                      \n",
       "207   (JobSatisfaction_3, Age_Range_<=30)                                      \n",
       "208   (Age_Range_<=30, JobSatisfaction_4)                                      \n",
       "209   (Age_Range_<=30, MaritalStatus_Divorced)                                 \n",
       "210   (Age_Range_<=30, MaritalStatus_Married)                                  \n",
       "211   (Age_Range_<=30, MaritalStatus_Single)                                   \n",
       "213   (Age_Range_>30 <=36, BusinessTravel_Travel_Frequently)                   \n",
       "214   (Age_Range_>30 <=36, BusinessTravel_Travel_Rarely)                       \n",
       "215   (Age_Range_>30 <=36, Department_Research & Development)                  \n",
       "216   (Age_Range_>30 <=36, Department_Sales)                                   \n",
       "217   (Age_Range_>30 <=36, DistanceFromHome_Range_<=2)                         \n",
       "218   (Age_Range_>30 <=36, DistanceFromHome_Range_>2 <=5)                      \n",
       "219   (Age_Range_>30 <=36, DistanceFromHome_Range_>6 <=15)                     \n",
       "220   (Age_Range_>30 <=36, DistanceFromHome_Range_>15)                         \n",
       "222   (Age_Range_>30 <=36, Education_2)                                        \n",
       "223   (Education_3, Age_Range_>30 <=36)                                        \n",
       "224   (Age_Range_>30 <=36, Education_4)                                        \n",
       "225   (EducationField_Life Sciences, Age_Range_>30 <=36)                       \n",
       "227   (Age_Range_>30 <=36, EducationField_Medical)                             \n",
       "229   (Age_Range_>30 <=36, EnvironmentSatisfaction_2)                          \n",
       "230   (Age_Range_>30 <=36, EnvironmentSatisfaction_3)                          \n",
       "231   (EnvironmentSatisfaction_4, Age_Range_>30 <=36)                          \n",
       "232   (Age_Range_>30 <=36, Gender_Female)                                      \n",
       "233   (Age_Range_>30 <=36, Gender_Male)                                        \n",
       "234   (Age_Range_>30 <=36, HourlyRate_Range_<=48)                              \n",
       "235   (Age_Range_>30 <=36, HourlyRate_Range_>48 <=60)                          \n",
       "236   (Age_Range_>30 <=36, HourlyRate_Range_>60 <=80)                          \n",
       "237   (Age_Range_>30 <=36, HourlyRate_Range_>80)                               \n",
       "238   (Age_Range_>30 <=36, JobInvolvement_2)                                   \n",
       "239   (Age_Range_>30 <=36, JobInvolvement_3)                                   \n",
       "241   (Age_Range_>30 <=36, JobLevel_1)                                         \n",
       "242   (Age_Range_>30 <=36, JobLevel_2)                                         \n",
       "248   (Age_Range_>30 <=36, JobRole_Sales Executive)                            \n",
       "251   (JobSatisfaction_3, Age_Range_>30 <=36)                                  \n",
       "252   (Age_Range_>30 <=36, JobSatisfaction_4)                                  \n",
       "253   (Age_Range_>30 <=36, MaritalStatus_Divorced)                             \n",
       "254   (Age_Range_>30 <=36, MaritalStatus_Married)                              \n",
       "255   (Age_Range_>30 <=36, MaritalStatus_Single)                               \n",
       "258   (BusinessTravel_Travel_Rarely, Age_Range_>36 <=43)                       \n",
       "259   (Age_Range_>36 <=43, Department_Research & Development)                  \n",
       "260   (Age_Range_>36 <=43, Department_Sales)                                   \n",
       "261   (Age_Range_>36 <=43, DistanceFromHome_Range_<=2)                         \n",
       "262   (Age_Range_>36 <=43, DistanceFromHome_Range_>2 <=5)                      \n",
       "263   (DistanceFromHome_Range_>6 <=15, Age_Range_>36 <=43)                     \n",
       "264   (Age_Range_>36 <=43, DistanceFromHome_Range_>15)                         \n",
       "267   (Education_3, Age_Range_>36 <=43)                                        \n",
       "268   (Age_Range_>36 <=43, Education_4)                                        \n",
       "269   (EducationField_Life Sciences, Age_Range_>36 <=43)                       \n",
       "271   (Age_Range_>36 <=43, EducationField_Medical)                             \n",
       "274   (EnvironmentSatisfaction_2, Age_Range_>36 <=43)                          \n",
       "275   (Age_Range_>36 <=43, EnvironmentSatisfaction_3)                          \n",
       "276   (EnvironmentSatisfaction_4, Age_Range_>36 <=43)                          \n",
       "277   (Gender_Female, Age_Range_>36 <=43)                                      \n",
       "278   (Gender_Male, Age_Range_>36 <=43)                                        \n",
       "279   (HourlyRate_Range_<=48, Age_Range_>36 <=43)                              \n",
       "280   (Age_Range_>36 <=43, HourlyRate_Range_>48 <=60)                          \n",
       "281   (Age_Range_>36 <=43, HourlyRate_Range_>60 <=80)                          \n",
       "282   (Age_Range_>36 <=43, HourlyRate_Range_>80)                               \n",
       "283   (Age_Range_>36 <=43, JobInvolvement_2)                                   \n",
       "284   (Age_Range_>36 <=43, JobInvolvement_3)                                   \n",
       "286   (JobLevel_1, Age_Range_>36 <=43)                                         \n",
       "287   (Age_Range_>36 <=43, JobLevel_2)                                         \n",
       "292   (Age_Range_>36 <=43, JobRole_Research Scientist)                         \n",
       "293   (JobRole_Sales Executive, Age_Range_>36 <=43)                            \n",
       "295   (JobSatisfaction_2, Age_Range_>36 <=43)                                  \n",
       "296   (JobSatisfaction_3, Age_Range_>36 <=43)                                  \n",
       "297   (Age_Range_>36 <=43, JobSatisfaction_4)                                  \n",
       "298   (Age_Range_>36 <=43, MaritalStatus_Divorced)                             \n",
       "299   (Age_Range_>36 <=43, MaritalStatus_Married)                              \n",
       "300   (MaritalStatus_Single, Age_Range_>36 <=43)                               \n",
       "302   (BusinessTravel_Travel_Rarely, Age_Range_>43)                            \n",
       "303   (Department_Research & Development, Age_Range_>43)                       \n",
       "304   (Department_Sales, Age_Range_>43)                                        \n",
       "305   (DistanceFromHome_Range_<=2, Age_Range_>43)                              \n",
       "307   (DistanceFromHome_Range_>6 <=15, Age_Range_>43)                          \n",
       "308   (DistanceFromHome_Range_>15, Age_Range_>43)                              \n",
       "311   (Education_3, Age_Range_>43)                                             \n",
       "312   (Education_4, Age_Range_>43)                                             \n",
       "313   (EducationField_Life Sciences, Age_Range_>43)                            \n",
       "314   (Age_Range_>43, EducationField_Medical)                                  \n",
       "318   (EnvironmentSatisfaction_3, Age_Range_>43)                               \n",
       "319   (EnvironmentSatisfaction_4, Age_Range_>43)                               \n",
       "320   (Gender_Female, Age_Range_>43)                                           \n",
       "321   (Gender_Male, Age_Range_>43)                                             \n",
       "322   (HourlyRate_Range_<=48, Age_Range_>43)                                   \n",
       "323   (HourlyRate_Range_>48 <=60, Age_Range_>43)                               \n",
       "324   (HourlyRate_Range_>60 <=80, Age_Range_>43)                               \n",
       "325   (Age_Range_>43, HourlyRate_Range_>80)                                    \n",
       "326   (JobInvolvement_2, Age_Range_>43)                                        \n",
       "327   (JobInvolvement_3, Age_Range_>43)                                        \n",
       "329   (JobLevel_1, Age_Range_>43)                                              \n",
       "330   (JobLevel_2, Age_Range_>43)                                              \n",
       "339   (JobSatisfaction_3, Age_Range_>43)                                       \n",
       "340   (JobSatisfaction_4, Age_Range_>43)                                       \n",
       "342   (Age_Range_>43, MaritalStatus_Married)                                   \n",
       "343   (MaritalStatus_Single, Age_Range_>43)                                    \n",
       "344   (BusinessTravel_Non-Travel, Department_Research & Development)           \n",
       "358   (Gender_Male, BusinessTravel_Non-Travel)                                 \n",
       "364   (BusinessTravel_Non-Travel, JobInvolvement_3)                            \n",
       "373   (BusinessTravel_Travel_Frequently, Department_Research & Development)    \n",
       "374   (BusinessTravel_Travel_Frequently, Department_Sales)                     \n",
       "375   (BusinessTravel_Travel_Frequently, DistanceFromHome_Range_<=2)           \n",
       "380   (Education_3, BusinessTravel_Travel_Frequently)                          \n",
       "381   (BusinessTravel_Travel_Frequently, Education_4)                          \n",
       "382   (EducationField_Life Sciences, BusinessTravel_Travel_Frequently)         \n",
       "384   (BusinessTravel_Travel_Frequently, EducationField_Medical)               \n",
       "387   (BusinessTravel_Travel_Frequently, EnvironmentSatisfaction_3)            \n",
       "389   (Gender_Female, BusinessTravel_Travel_Frequently)                        \n",
       "390   (BusinessTravel_Travel_Frequently, Gender_Male)                          \n",
       "394   (BusinessTravel_Travel_Frequently, HourlyRate_Range_>80)                 \n",
       "396   (BusinessTravel_Travel_Frequently, JobInvolvement_3)                     \n",
       "397   (BusinessTravel_Travel_Frequently, JobLevel_1)                           \n",
       "398   (BusinessTravel_Travel_Frequently, JobLevel_2)                           \n",
       "405   (JobSatisfaction_3, BusinessTravel_Travel_Frequently)                    \n",
       "406   (BusinessTravel_Travel_Frequently, JobSatisfaction_4)                    \n",
       "408   (BusinessTravel_Travel_Frequently, MaritalStatus_Married)                \n",
       "409   (BusinessTravel_Travel_Frequently, MaritalStatus_Single)                 \n",
       "411   (BusinessTravel_Travel_Rarely, Department_Research & Development)        \n",
       "412   (BusinessTravel_Travel_Rarely, Department_Sales)                         \n",
       "413   (BusinessTravel_Travel_Rarely, DistanceFromHome_Range_<=2)               \n",
       "414   (BusinessTravel_Travel_Rarely, DistanceFromHome_Range_>2 <=5)            \n",
       "415   (BusinessTravel_Travel_Rarely, DistanceFromHome_Range_>6 <=15)           \n",
       "416   (BusinessTravel_Travel_Rarely, DistanceFromHome_Range_>15)               \n",
       "417   (BusinessTravel_Travel_Rarely, Education_1)                              \n",
       "418   (BusinessTravel_Travel_Rarely, Education_2)                              \n",
       "419   (Education_3, BusinessTravel_Travel_Rarely)                              \n",
       "420   (BusinessTravel_Travel_Rarely, Education_4)                              \n",
       "422   (EducationField_Life Sciences, BusinessTravel_Travel_Rarely)             \n",
       "423   (EducationField_Marketing, BusinessTravel_Travel_Rarely)                 \n",
       "424   (BusinessTravel_Travel_Rarely, EducationField_Medical)                   \n",
       "426   (EducationField_Technical Degree, BusinessTravel_Travel_Rarely)          \n",
       "427   (EnvironmentSatisfaction_1, BusinessTravel_Travel_Rarely)                \n",
       "428   (BusinessTravel_Travel_Rarely, EnvironmentSatisfaction_2)                \n",
       "429   (BusinessTravel_Travel_Rarely, EnvironmentSatisfaction_3)                \n",
       "430   (EnvironmentSatisfaction_4, BusinessTravel_Travel_Rarely)                \n",
       "431   (Gender_Female, BusinessTravel_Travel_Rarely)                            \n",
       "432   (BusinessTravel_Travel_Rarely, Gender_Male)                              \n",
       "433   (BusinessTravel_Travel_Rarely, HourlyRate_Range_<=48)                    \n",
       "434   (BusinessTravel_Travel_Rarely, HourlyRate_Range_>48 <=60)                \n",
       "435   (BusinessTravel_Travel_Rarely, HourlyRate_Range_>60 <=80)                \n",
       "436   (BusinessTravel_Travel_Rarely, HourlyRate_Range_>80)                     \n",
       "438   (BusinessTravel_Travel_Rarely, JobInvolvement_2)                         \n",
       "439   (BusinessTravel_Travel_Rarely, JobInvolvement_3)                         \n",
       "440   (JobInvolvement_4, BusinessTravel_Travel_Rarely)                         \n",
       "441   (BusinessTravel_Travel_Rarely, JobLevel_1)                               \n",
       "442   (BusinessTravel_Travel_Rarely, JobLevel_2)                               \n",
       "443   (BusinessTravel_Travel_Rarely, JobLevel_3)                               \n",
       "446   (BusinessTravel_Travel_Rarely, JobRole_Healthcare Representative)        \n",
       "448   (JobRole_Laboratory Technician, BusinessTravel_Travel_Rarely)            \n",
       "450   (JobRole_Manufacturing Director, BusinessTravel_Travel_Rarely)           \n",
       "452   (BusinessTravel_Travel_Rarely, JobRole_Research Scientist)               \n",
       "453   (JobRole_Sales Executive, BusinessTravel_Travel_Rarely)                  \n",
       "455   (JobSatisfaction_1, BusinessTravel_Travel_Rarely)                        \n",
       "456   (JobSatisfaction_2, BusinessTravel_Travel_Rarely)                        \n",
       "457   (JobSatisfaction_3, BusinessTravel_Travel_Rarely)                        \n",
       "458   (BusinessTravel_Travel_Rarely, JobSatisfaction_4)                        \n",
       "459   (BusinessTravel_Travel_Rarely, MaritalStatus_Divorced)                   \n",
       "460   (BusinessTravel_Travel_Rarely, MaritalStatus_Married)                    \n",
       "461   (BusinessTravel_Travel_Rarely, MaritalStatus_Single)                     \n",
       "467   (Department_Research & Development, DistanceFromHome_Range_<=2)          \n",
       "468   (Department_Research & Development, DistanceFromHome_Range_>2 <=5)       \n",
       "469   (DistanceFromHome_Range_>6 <=15, Department_Research & Development)      \n",
       "470   (Department_Research & Development, DistanceFromHome_Range_>15)          \n",
       "471   (Education_1, Department_Research & Development)                         \n",
       "472   (Department_Research & Development, Education_2)                         \n",
       "473   (Education_3, Department_Research & Development)                         \n",
       "474   (Department_Research & Development, Education_4)                         \n",
       "476   (EducationField_Life Sciences, Department_Research & Development)        \n",
       "477   (Department_Research & Development, EducationField_Medical)              \n",
       "479   (EducationField_Technical Degree, Department_Research & Development)     \n",
       "480   (EnvironmentSatisfaction_1, Department_Research & Development)           \n",
       "481   (EnvironmentSatisfaction_2, Department_Research & Development)           \n",
       "482   (Department_Research & Development, EnvironmentSatisfaction_3)           \n",
       "483   (EnvironmentSatisfaction_4, Department_Research & Development)           \n",
       "484   (Gender_Female, Department_Research & Development)                       \n",
       "485   (Gender_Male, Department_Research & Development)                         \n",
       "486   (HourlyRate_Range_<=48, Department_Research & Development)               \n",
       "487   (HourlyRate_Range_>48 <=60, Department_Research & Development)           \n",
       "488   (Department_Research & Development, HourlyRate_Range_>60 <=80)           \n",
       "489   (Department_Research & Development, HourlyRate_Range_>80)                \n",
       "491   (Department_Research & Development, JobInvolvement_2)                    \n",
       "492   (Department_Research & Development, JobInvolvement_3)                    \n",
       "493   (JobInvolvement_4, Department_Research & Development)                    \n",
       "494   (JobLevel_1, Department_Research & Development)                          \n",
       "495   (JobLevel_2, Department_Research & Development)                          \n",
       "496   (Department_Research & Development, JobLevel_3)                          \n",
       "499   (Department_Research & Development, JobRole_Healthcare Representative)   \n",
       "500   (JobRole_Laboratory Technician, Department_Research & Development)       \n",
       "502   (JobRole_Manufacturing Director, Department_Research & Development)      \n",
       "503   (Department_Research & Development, JobRole_Research Director)           \n",
       "504   (Department_Research & Development, JobRole_Research Scientist)          \n",
       "505   (JobSatisfaction_1, Department_Research & Development)                   \n",
       "506   (JobSatisfaction_2, Department_Research & Development)                   \n",
       "507   (JobSatisfaction_3, Department_Research & Development)                   \n",
       "508   (Department_Research & Development, JobSatisfaction_4)                   \n",
       "509   (Department_Research & Development, MaritalStatus_Divorced)              \n",
       "510   (Department_Research & Development, MaritalStatus_Married)               \n",
       "511   (MaritalStatus_Single, Department_Research & Development)                \n",
       "512   (Department_Sales, DistanceFromHome_Range_<=2)                           \n",
       "513   (DistanceFromHome_Range_>2 <=5, Department_Sales)                        \n",
       "514   (DistanceFromHome_Range_>6 <=15, Department_Sales)                       \n",
       "515   (Department_Sales, DistanceFromHome_Range_>15)                           \n",
       "517   (Department_Sales, Education_2)                                          \n",
       "518   (Education_3, Department_Sales)                                          \n",
       "519   (Education_4, Department_Sales)                                          \n",
       "520   (EducationField_Life Sciences, Department_Sales)                         \n",
       "521   (EducationField_Marketing, Department_Sales)                             \n",
       "522   (Department_Sales, EducationField_Medical)                               \n",
       "524   (EnvironmentSatisfaction_1, Department_Sales)                            \n",
       "525   (EnvironmentSatisfaction_2, Department_Sales)                            \n",
       "526   (Department_Sales, EnvironmentSatisfaction_3)                            \n",
       "527   (EnvironmentSatisfaction_4, Department_Sales)                            \n",
       "528   (Gender_Female, Department_Sales)                                        \n",
       "529   (Gender_Male, Department_Sales)                                          \n",
       "530   (HourlyRate_Range_<=48, Department_Sales)                                \n",
       "531   (HourlyRate_Range_>48 <=60, Department_Sales)                            \n",
       "532   (HourlyRate_Range_>60 <=80, Department_Sales)                            \n",
       "533   (Department_Sales, HourlyRate_Range_>80)                                 \n",
       "534   (Department_Sales, JobInvolvement_2)                                     \n",
       "535   (JobInvolvement_3, Department_Sales)                                     \n",
       "537   (JobLevel_1, Department_Sales)                                           \n",
       "538   (JobLevel_2, Department_Sales)                                           \n",
       "539   (JobLevel_3, Department_Sales)                                           \n",
       "542   (JobRole_Sales Executive, Department_Sales)                              \n",
       "543   (JobRole_Sales Representative, Department_Sales)                         \n",
       "544   (JobSatisfaction_1, Department_Sales)                                    \n",
       "545   (JobSatisfaction_2, Department_Sales)                                    \n",
       "546   (JobSatisfaction_3, Department_Sales)                                    \n",
       "547   (Department_Sales, JobSatisfaction_4)                                    \n",
       "548   (Department_Sales, MaritalStatus_Divorced)                               \n",
       "549   (Department_Sales, MaritalStatus_Married)                                \n",
       "550   (MaritalStatus_Single, Department_Sales)                                 \n",
       "552   (DistanceFromHome_Range_<=2, Education_2)                                \n",
       "553   (Education_3, DistanceFromHome_Range_<=2)                                \n",
       "554   (Education_4, DistanceFromHome_Range_<=2)                                \n",
       "555   (EducationField_Life Sciences, DistanceFromHome_Range_<=2)               \n",
       "557   (DistanceFromHome_Range_<=2, EducationField_Medical)                     \n",
       "559   (EnvironmentSatisfaction_1, DistanceFromHome_Range_<=2)                  \n",
       "560   (EnvironmentSatisfaction_2, DistanceFromHome_Range_<=2)                  \n",
       "561   (DistanceFromHome_Range_<=2, EnvironmentSatisfaction_3)                  \n",
       "562   (EnvironmentSatisfaction_4, DistanceFromHome_Range_<=2)                  \n",
       "563   (Gender_Female, DistanceFromHome_Range_<=2)                              \n",
       "564   (Gender_Male, DistanceFromHome_Range_<=2)                                \n",
       "565   (HourlyRate_Range_<=48, DistanceFromHome_Range_<=2)                      \n",
       "566   (HourlyRate_Range_>48 <=60, DistanceFromHome_Range_<=2)                  \n",
       "567   (HourlyRate_Range_>60 <=80, DistanceFromHome_Range_<=2)                  \n",
       "568   (DistanceFromHome_Range_<=2, HourlyRate_Range_>80)                       \n",
       "569   (DistanceFromHome_Range_<=2, JobInvolvement_2)                           \n",
       "570   (JobInvolvement_3, DistanceFromHome_Range_<=2)                           \n",
       "572   (JobLevel_1, DistanceFromHome_Range_<=2)                                 \n",
       "573   (JobLevel_2, DistanceFromHome_Range_<=2)                                 \n",
       "580   (DistanceFromHome_Range_<=2, JobRole_Research Scientist)                 \n",
       "581   (JobRole_Sales Executive, DistanceFromHome_Range_<=2)                    \n",
       "582   (JobSatisfaction_1, DistanceFromHome_Range_<=2)                          \n",
       "583   (JobSatisfaction_2, DistanceFromHome_Range_<=2)                          \n",
       "584   (JobSatisfaction_3, DistanceFromHome_Range_<=2)                          \n",
       "585   (DistanceFromHome_Range_<=2, JobSatisfaction_4)                          \n",
       "586   (DistanceFromHome_Range_<=2, MaritalStatus_Divorced)                     \n",
       "587   (DistanceFromHome_Range_<=2, MaritalStatus_Married)                      \n",
       "588   (MaritalStatus_Single, DistanceFromHome_Range_<=2)                       \n",
       "590   (DistanceFromHome_Range_>2 <=5, Education_2)                             \n",
       "591   (Education_3, DistanceFromHome_Range_>2 <=5)                             \n",
       "592   (DistanceFromHome_Range_>2 <=5, Education_4)                             \n",
       "593   (EducationField_Life Sciences, DistanceFromHome_Range_>2 <=5)            \n",
       "595   (DistanceFromHome_Range_>2 <=5, EducationField_Medical)                  \n",
       "599   (DistanceFromHome_Range_>2 <=5, EnvironmentSatisfaction_3)               \n",
       "600   (EnvironmentSatisfaction_4, DistanceFromHome_Range_>2 <=5)               \n",
       "601   (Gender_Female, DistanceFromHome_Range_>2 <=5)                           \n",
       "602   (Gender_Male, DistanceFromHome_Range_>2 <=5)                             \n",
       "603   (HourlyRate_Range_<=48, DistanceFromHome_Range_>2 <=5)                   \n",
       "604   (HourlyRate_Range_>48 <=60, DistanceFromHome_Range_>2 <=5)               \n",
       "606   (DistanceFromHome_Range_>2 <=5, HourlyRate_Range_>80)                    \n",
       "607   (DistanceFromHome_Range_>2 <=5, JobInvolvement_2)                        \n",
       "608   (JobInvolvement_3, DistanceFromHome_Range_>2 <=5)                        \n",
       "610   (JobLevel_1, DistanceFromHome_Range_>2 <=5)                              \n",
       "611   (JobLevel_2, DistanceFromHome_Range_>2 <=5)                              \n",
       "615   (DistanceFromHome_Range_>2 <=5, JobRole_Research Scientist)              \n",
       "616   (JobRole_Sales Executive, DistanceFromHome_Range_>2 <=5)                 \n",
       "619   (JobSatisfaction_3, DistanceFromHome_Range_>2 <=5)                       \n",
       "620   (DistanceFromHome_Range_>2 <=5, JobSatisfaction_4)                       \n",
       "621   (DistanceFromHome_Range_>2 <=5, MaritalStatus_Divorced)                  \n",
       "622   (DistanceFromHome_Range_>2 <=5, MaritalStatus_Married)                   \n",
       "623   (MaritalStatus_Single, DistanceFromHome_Range_>2 <=5)                    \n",
       "626   (Education_3, DistanceFromHome_Range_>6 <=15)                            \n",
       "627   (DistanceFromHome_Range_>6 <=15, Education_4)                            \n",
       "628   (EducationField_Life Sciences, DistanceFromHome_Range_>6 <=15)           \n",
       "630   (DistanceFromHome_Range_>6 <=15, EducationField_Medical)                 \n",
       "633   (DistanceFromHome_Range_>6 <=15, EnvironmentSatisfaction_3)              \n",
       "634   (EnvironmentSatisfaction_4, DistanceFromHome_Range_>6 <=15)              \n",
       "635   (Gender_Female, DistanceFromHome_Range_>6 <=15)                          \n",
       "636   (Gender_Male, DistanceFromHome_Range_>6 <=15)                            \n",
       "637   (HourlyRate_Range_<=48, DistanceFromHome_Range_>6 <=15)                  \n",
       "638   (DistanceFromHome_Range_>6 <=15, HourlyRate_Range_>48 <=60)              \n",
       "639   (DistanceFromHome_Range_>6 <=15, HourlyRate_Range_>60 <=80)              \n",
       "640   (DistanceFromHome_Range_>6 <=15, HourlyRate_Range_>80)                   \n",
       "641   (DistanceFromHome_Range_>6 <=15, JobInvolvement_2)                       \n",
       "642   (DistanceFromHome_Range_>6 <=15, JobInvolvement_3)                       \n",
       "644   (JobLevel_1, DistanceFromHome_Range_>6 <=15)                             \n",
       "645   (DistanceFromHome_Range_>6 <=15, JobLevel_2)                             \n",
       "650   (JobRole_Sales Executive, DistanceFromHome_Range_>6 <=15)                \n",
       "652   (JobSatisfaction_2, DistanceFromHome_Range_>6 <=15)                      \n",
       "653   (JobSatisfaction_3, DistanceFromHome_Range_>6 <=15)                      \n",
       "654   (DistanceFromHome_Range_>6 <=15, JobSatisfaction_4)                      \n",
       "655   (DistanceFromHome_Range_>6 <=15, MaritalStatus_Divorced)                 \n",
       "656   (DistanceFromHome_Range_>6 <=15, MaritalStatus_Married)                  \n",
       "657   (MaritalStatus_Single, DistanceFromHome_Range_>6 <=15)                   \n",
       "660   (Education_3, DistanceFromHome_Range_>15)                                \n",
       "661   (Education_4, DistanceFromHome_Range_>15)                                \n",
       "662   (EducationField_Life Sciences, DistanceFromHome_Range_>15)               \n",
       "664   (DistanceFromHome_Range_>15, EducationField_Medical)                     \n",
       "668   (EnvironmentSatisfaction_3, DistanceFromHome_Range_>15)                  \n",
       "669   (EnvironmentSatisfaction_4, DistanceFromHome_Range_>15)                  \n",
       "670   (Gender_Female, DistanceFromHome_Range_>15)                              \n",
       "671   (Gender_Male, DistanceFromHome_Range_>15)                                \n",
       "672   (HourlyRate_Range_<=48, DistanceFromHome_Range_>15)                      \n",
       "673   (HourlyRate_Range_>48 <=60, DistanceFromHome_Range_>15)                  \n",
       "674   (HourlyRate_Range_>60 <=80, DistanceFromHome_Range_>15)                  \n",
       "675   (DistanceFromHome_Range_>15, HourlyRate_Range_>80)                       \n",
       "676   (JobInvolvement_2, DistanceFromHome_Range_>15)                           \n",
       "677   (JobInvolvement_3, DistanceFromHome_Range_>15)                           \n",
       "679   (JobLevel_1, DistanceFromHome_Range_>15)                                 \n",
       "680   (JobLevel_2, DistanceFromHome_Range_>15)                                 \n",
       "687   (JobRole_Sales Executive, DistanceFromHome_Range_>15)                    \n",
       "690   (JobSatisfaction_3, DistanceFromHome_Range_>15)                          \n",
       "691   (JobSatisfaction_4, DistanceFromHome_Range_>15)                          \n",
       "692   (MaritalStatus_Divorced, DistanceFromHome_Range_>15)                     \n",
       "693   (DistanceFromHome_Range_>15, MaritalStatus_Married)                      \n",
       "694   (MaritalStatus_Single, DistanceFromHome_Range_>15)                       \n",
       "700   (Gender_Female, Education_1)                                             \n",
       "701   (Education_1, Gender_Male)                                               \n",
       "707   (Education_1, JobInvolvement_3)                                          \n",
       "708   (Education_1, JobLevel_1)                                                \n",
       "716   (Education_1, MaritalStatus_Married)                                     \n",
       "718   (EducationField_Life Sciences, Education_2)                              \n",
       "719   (Education_2, EducationField_Medical)                                    \n",
       "722   (EnvironmentSatisfaction_3, Education_2)                                 \n",
       "723   (EnvironmentSatisfaction_4, Education_2)                                 \n",
       "724   (Gender_Female, Education_2)                                             \n",
       "725   (Gender_Male, Education_2)                                               \n",
       "726   (HourlyRate_Range_<=48, Education_2)                                     \n",
       "729   (Education_2, HourlyRate_Range_>80)                                      \n",
       "730   (JobInvolvement_2, Education_2)                                          \n",
       "731   (JobInvolvement_3, Education_2)                                          \n",
       "732   (JobLevel_1, Education_2)                                                \n",
       "733   (JobLevel_2, Education_2)                                                \n",
       "741   (JobSatisfaction_3, Education_2)                                         \n",
       "742   (JobSatisfaction_4, Education_2)                                         \n",
       "744   (Education_2, MaritalStatus_Married)                                     \n",
       "745   (MaritalStatus_Single, Education_2)                                      \n",
       "746   (Education_3, EducationField_Life Sciences)                              \n",
       "748   (Education_3, EducationField_Medical)                                    \n",
       "750   (Education_3, EnvironmentSatisfaction_1)                                 \n",
       "751   (Education_3, EnvironmentSatisfaction_2)                                 \n",
       "752   (Education_3, EnvironmentSatisfaction_3)                                 \n",
       "753   (Education_3, EnvironmentSatisfaction_4)                                 \n",
       "754   (Education_3, Gender_Female)                                             \n",
       "755   (Education_3, Gender_Male)                                               \n",
       "756   (Education_3, HourlyRate_Range_<=48)                                     \n",
       "757   (Education_3, HourlyRate_Range_>48 <=60)                                 \n",
       "758   (Education_3, HourlyRate_Range_>60 <=80)                                 \n",
       "759   (Education_3, HourlyRate_Range_>80)                                      \n",
       "761   (Education_3, JobInvolvement_2)                                          \n",
       "762   (Education_3, JobInvolvement_3)                                          \n",
       "764   (Education_3, JobLevel_1)                                                \n",
       "765   (Education_3, JobLevel_2)                                                \n",
       "766   (Education_3, JobLevel_3)                                                \n",
       "769   (Education_3, JobRole_Laboratory Technician)                             \n",
       "773   (Education_3, JobRole_Research Scientist)                                \n",
       "774   (Education_3, JobRole_Sales Executive)                                   \n",
       "776   (Education_3, JobSatisfaction_1)                                         \n",
       "777   (JobSatisfaction_2, Education_3)                                         \n",
       "778   (JobSatisfaction_3, Education_3)                                         \n",
       "779   (Education_3, JobSatisfaction_4)                                         \n",
       "780   (Education_3, MaritalStatus_Divorced)                                    \n",
       "781   (Education_3, MaritalStatus_Married)                                     \n",
       "782   (Education_3, MaritalStatus_Single)                                      \n",
       "783   (EducationField_Life Sciences, Education_4)                              \n",
       "785   (Education_4, EducationField_Medical)                                    \n",
       "788   (EnvironmentSatisfaction_1, Education_4)                                 \n",
       "789   (EnvironmentSatisfaction_2, Education_4)                                 \n",
       "790   (Education_4, EnvironmentSatisfaction_3)                                 \n",
       "791   (EnvironmentSatisfaction_4, Education_4)                                 \n",
       "792   (Gender_Female, Education_4)                                             \n",
       "793   (Gender_Male, Education_4)                                               \n",
       "794   (HourlyRate_Range_<=48, Education_4)                                     \n",
       "795   (HourlyRate_Range_>48 <=60, Education_4)                                 \n",
       "796   (HourlyRate_Range_>60 <=80, Education_4)                                 \n",
       "797   (Education_4, HourlyRate_Range_>80)                                      \n",
       "798   (Education_4, JobInvolvement_2)                                          \n",
       "799   (JobInvolvement_3, Education_4)                                          \n",
       "801   (JobLevel_1, Education_4)                                                \n",
       "802   (JobLevel_2, Education_4)                                                \n",
       "807   (Education_4, JobRole_Research Scientist)                                \n",
       "808   (JobRole_Sales Executive, Education_4)                                   \n",
       "809   (JobSatisfaction_1, Education_4)                                         \n",
       "811   (JobSatisfaction_3, Education_4)                                         \n",
       "812   (Education_4, JobSatisfaction_4)                                         \n",
       "813   (Education_4, MaritalStatus_Divorced)                                    \n",
       "814   (Education_4, MaritalStatus_Married)                                     \n",
       "815   (MaritalStatus_Single, Education_4)                                      \n",
       "817   (EnvironmentSatisfaction_1, EducationField_Life Sciences)                \n",
       "818   (EducationField_Life Sciences, EnvironmentSatisfaction_2)                \n",
       "819   (EducationField_Life Sciences, EnvironmentSatisfaction_3)                \n",
       "820   (EnvironmentSatisfaction_4, EducationField_Life Sciences)                \n",
       "821   (EducationField_Life Sciences, Gender_Female)                            \n",
       "822   (EducationField_Life Sciences, Gender_Male)                              \n",
       "823   (EducationField_Life Sciences, HourlyRate_Range_<=48)                    \n",
       "824   (EducationField_Life Sciences, HourlyRate_Range_>48 <=60)                \n",
       "825   (EducationField_Life Sciences, HourlyRate_Range_>60 <=80)                \n",
       "826   (EducationField_Life Sciences, HourlyRate_Range_>80)                     \n",
       "828   (EducationField_Life Sciences, JobInvolvement_2)                         \n",
       "829   (EducationField_Life Sciences, JobInvolvement_3)                         \n",
       "831   (EducationField_Life Sciences, JobLevel_1)                               \n",
       "832   (EducationField_Life Sciences, JobLevel_2)                               \n",
       "833   (EducationField_Life Sciences, JobLevel_3)                               \n",
       "836   (EducationField_Life Sciences, JobRole_Laboratory Technician)            \n",
       "840   (EducationField_Life Sciences, JobRole_Research Scientist)               \n",
       "841   (EducationField_Life Sciences, JobRole_Sales Executive)                  \n",
       "842   (JobSatisfaction_1, EducationField_Life Sciences)                        \n",
       "843   (JobSatisfaction_2, EducationField_Life Sciences)                        \n",
       "844   (JobSatisfaction_3, EducationField_Life Sciences)                        \n",
       "845   (EducationField_Life Sciences, JobSatisfaction_4)                        \n",
       "846   (EducationField_Life Sciences, MaritalStatus_Divorced)                   \n",
       "847   (EducationField_Life Sciences, MaritalStatus_Married)                    \n",
       "848   (EducationField_Life Sciences, MaritalStatus_Single)                     \n",
       "853   (EducationField_Marketing, Gender_Male)                                  \n",
       "859   (EducationField_Marketing, JobInvolvement_3)                             \n",
       "860   (EducationField_Marketing, JobLevel_2)                                   \n",
       "862   (EducationField_Marketing, JobRole_Sales Executive)                      \n",
       "868   (EducationField_Marketing, MaritalStatus_Married)                        \n",
       "870   (EnvironmentSatisfaction_1, EducationField_Medical)                      \n",
       "871   (EnvironmentSatisfaction_2, EducationField_Medical)                      \n",
       "872   (EnvironmentSatisfaction_3, EducationField_Medical)                      \n",
       "873   (EnvironmentSatisfaction_4, EducationField_Medical)                      \n",
       "874   (Gender_Female, EducationField_Medical)                                  \n",
       "875   (Gender_Male, EducationField_Medical)                                    \n",
       "876   (HourlyRate_Range_<=48, EducationField_Medical)                          \n",
       "877   (HourlyRate_Range_>48 <=60, EducationField_Medical)                      \n",
       "878   (HourlyRate_Range_>60 <=80, EducationField_Medical)                      \n",
       "879   (HourlyRate_Range_>80, EducationField_Medical)                           \n",
       "880   (JobInvolvement_2, EducationField_Medical)                               \n",
       "881   (JobInvolvement_3, EducationField_Medical)                               \n",
       "883   (JobLevel_1, EducationField_Medical)                                     \n",
       "884   (JobLevel_2, EducationField_Medical)                                     \n",
       "888   (JobRole_Laboratory Technician, EducationField_Medical)                  \n",
       "892   (JobRole_Research Scientist, EducationField_Medical)                     \n",
       "894   (JobSatisfaction_1, EducationField_Medical)                              \n",
       "895   (JobSatisfaction_2, EducationField_Medical)                              \n",
       "896   (JobSatisfaction_3, EducationField_Medical)                              \n",
       "897   (JobSatisfaction_4, EducationField_Medical)                              \n",
       "898   (MaritalStatus_Divorced, EducationField_Medical)                         \n",
       "899   (MaritalStatus_Married, EducationField_Medical)                          \n",
       "900   (MaritalStatus_Single, EducationField_Medical)                           \n",
       "911   (EducationField_Technical Degree, Gender_Male)                           \n",
       "915   (EducationField_Technical Degree, JobInvolvement_3)                      \n",
       "923   (EnvironmentSatisfaction_1, Gender_Female)                               \n",
       "924   (EnvironmentSatisfaction_1, Gender_Male)                                 \n",
       "926   (EnvironmentSatisfaction_1, HourlyRate_Range_>48 <=60)                   \n",
       "929   (EnvironmentSatisfaction_1, JobInvolvement_2)                            \n",
       "930   (EnvironmentSatisfaction_1, JobInvolvement_3)                            \n",
       "931   (EnvironmentSatisfaction_1, JobLevel_1)                                  \n",
       "932   (EnvironmentSatisfaction_1, JobLevel_2)                                  \n",
       "939   (JobSatisfaction_3, EnvironmentSatisfaction_1)                           \n",
       "940   (EnvironmentSatisfaction_1, JobSatisfaction_4)                           \n",
       "942   (EnvironmentSatisfaction_1, MaritalStatus_Married)                       \n",
       "943   (EnvironmentSatisfaction_1, MaritalStatus_Single)                        \n",
       "944   (Gender_Female, EnvironmentSatisfaction_2)                               \n",
       "945   (Gender_Male, EnvironmentSatisfaction_2)                                 \n",
       "948   (EnvironmentSatisfaction_2, HourlyRate_Range_>60 <=80)                   \n",
       "949   (EnvironmentSatisfaction_2, HourlyRate_Range_>80)                        \n",
       "951   (EnvironmentSatisfaction_2, JobInvolvement_3)                            \n",
       "953   (JobLevel_1, EnvironmentSatisfaction_2)                                  \n",
       "954   (EnvironmentSatisfaction_2, JobLevel_2)                                  \n",
       "961   (JobSatisfaction_3, EnvironmentSatisfaction_2)                           \n",
       "962   (EnvironmentSatisfaction_2, JobSatisfaction_4)                           \n",
       "964   (EnvironmentSatisfaction_2, MaritalStatus_Married)                       \n",
       "965   (MaritalStatus_Single, EnvironmentSatisfaction_2)                        \n",
       "966   (Gender_Female, EnvironmentSatisfaction_3)                               \n",
       "967   (Gender_Male, EnvironmentSatisfaction_3)                                 \n",
       "968   (HourlyRate_Range_<=48, EnvironmentSatisfaction_3)                       \n",
       "969   (HourlyRate_Range_>48 <=60, EnvironmentSatisfaction_3)                   \n",
       "970   (HourlyRate_Range_>60 <=80, EnvironmentSatisfaction_3)                   \n",
       "971   (EnvironmentSatisfaction_3, HourlyRate_Range_>80)                        \n",
       "972   (JobInvolvement_2, EnvironmentSatisfaction_3)                            \n",
       "973   (JobInvolvement_3, EnvironmentSatisfaction_3)                            \n",
       "975   (JobLevel_1, EnvironmentSatisfaction_3)                                  \n",
       "976   (JobLevel_2, EnvironmentSatisfaction_3)                                  \n",
       "977   (JobLevel_3, EnvironmentSatisfaction_3)                                  \n",
       "980   (JobRole_Laboratory Technician, EnvironmentSatisfaction_3)               \n",
       "983   (EnvironmentSatisfaction_3, JobRole_Research Scientist)                  \n",
       "984   (JobRole_Sales Executive, EnvironmentSatisfaction_3)                     \n",
       "985   (JobSatisfaction_1, EnvironmentSatisfaction_3)                           \n",
       "986   (JobSatisfaction_2, EnvironmentSatisfaction_3)                           \n",
       "987   (JobSatisfaction_3, EnvironmentSatisfaction_3)                           \n",
       "988   (EnvironmentSatisfaction_3, JobSatisfaction_4)                           \n",
       "989   (EnvironmentSatisfaction_3, MaritalStatus_Divorced)                      \n",
       "990   (EnvironmentSatisfaction_3, MaritalStatus_Married)                       \n",
       "991   (MaritalStatus_Single, EnvironmentSatisfaction_3)                        \n",
       "992   (EnvironmentSatisfaction_4, Gender_Female)                               \n",
       "993   (EnvironmentSatisfaction_4, Gender_Male)                                 \n",
       "994   (EnvironmentSatisfaction_4, HourlyRate_Range_<=48)                       \n",
       "995   (EnvironmentSatisfaction_4, HourlyRate_Range_>48 <=60)                   \n",
       "996   (EnvironmentSatisfaction_4, HourlyRate_Range_>60 <=80)                   \n",
       "997   (EnvironmentSatisfaction_4, HourlyRate_Range_>80)                        \n",
       "998   (EnvironmentSatisfaction_4, JobInvolvement_2)                            \n",
       "999   (EnvironmentSatisfaction_4, JobInvolvement_3)                            \n",
       "1001  (EnvironmentSatisfaction_4, JobLevel_1)                                  \n",
       "1002  (EnvironmentSatisfaction_4, JobLevel_2)                                  \n",
       "1006  (EnvironmentSatisfaction_4, JobRole_Laboratory Technician)               \n",
       "1009  (EnvironmentSatisfaction_4, JobRole_Research Scientist)                  \n",
       "1010  (EnvironmentSatisfaction_4, JobRole_Sales Executive)                     \n",
       "1011  (EnvironmentSatisfaction_4, JobSatisfaction_1)                           \n",
       "1012  (JobSatisfaction_2, EnvironmentSatisfaction_4)                           \n",
       "1013  (JobSatisfaction_3, EnvironmentSatisfaction_4)                           \n",
       "1014  (EnvironmentSatisfaction_4, JobSatisfaction_4)                           \n",
       "1015  (EnvironmentSatisfaction_4, MaritalStatus_Divorced)                      \n",
       "1016  (EnvironmentSatisfaction_4, MaritalStatus_Married)                       \n",
       "1017  (EnvironmentSatisfaction_4, MaritalStatus_Single)                        \n",
       "1018  (Gender_Female, HourlyRate_Range_<=48)                                   \n",
       "1019  (Gender_Female, HourlyRate_Range_>48 <=60)                               \n",
       "1020  (Gender_Female, HourlyRate_Range_>60 <=80)                               \n",
       "1021  (Gender_Female, HourlyRate_Range_>80)                                    \n",
       "1023  (Gender_Female, JobInvolvement_2)                                        \n",
       "1024  (Gender_Female, JobInvolvement_3)                                        \n",
       "1026  (Gender_Female, JobLevel_1)                                              \n",
       "1027  (Gender_Female, JobLevel_2)                                              \n",
       "1028  (Gender_Female, JobLevel_3)                                              \n",
       "1031  (Gender_Female, JobRole_Laboratory Technician)                           \n",
       "1034  (Gender_Female, JobRole_Research Scientist)                              \n",
       "1035  (Gender_Female, JobRole_Sales Executive)                                 \n",
       "1036  (JobSatisfaction_1, Gender_Female)                                       \n",
       "1037  (JobSatisfaction_2, Gender_Female)                                       \n",
       "1038  (JobSatisfaction_3, Gender_Female)                                       \n",
       "1039  (Gender_Female, JobSatisfaction_4)                                       \n",
       "1040  (Gender_Female, MaritalStatus_Divorced)                                  \n",
       "1041  (Gender_Female, MaritalStatus_Married)                                   \n",
       "1042  (Gender_Female, MaritalStatus_Single)                                    \n",
       "1043  (Gender_Male, HourlyRate_Range_<=48)                                     \n",
       "1044  (Gender_Male, HourlyRate_Range_>48 <=60)                                 \n",
       "1045  (Gender_Male, HourlyRate_Range_>60 <=80)                                 \n",
       "1046  (Gender_Male, HourlyRate_Range_>80)                                      \n",
       "1048  (Gender_Male, JobInvolvement_2)                                          \n",
       "1049  (Gender_Male, JobInvolvement_3)                                          \n",
       "1050  (JobInvolvement_4, Gender_Male)                                          \n",
       "1051  (Gender_Male, JobLevel_1)                                                \n",
       "1052  (Gender_Male, JobLevel_2)                                                \n",
       "1053  (Gender_Male, JobLevel_3)                                                \n",
       "1056  (Gender_Male, JobRole_Healthcare Representative)                         \n",
       "1058  (JobRole_Laboratory Technician, Gender_Male)                             \n",
       "1060  (JobRole_Manufacturing Director, Gender_Male)                            \n",
       "1062  (Gender_Male, JobRole_Research Scientist)                                \n",
       "1063  (JobRole_Sales Executive, Gender_Male)                                   \n",
       "1065  (JobSatisfaction_1, Gender_Male)                                         \n",
       "1066  (JobSatisfaction_2, Gender_Male)                                         \n",
       "1067  (JobSatisfaction_3, Gender_Male)                                         \n",
       "1068  (Gender_Male, JobSatisfaction_4)                                         \n",
       "1069  (Gender_Male, MaritalStatus_Divorced)                                    \n",
       "1070  (Gender_Male, MaritalStatus_Married)                                     \n",
       "1071  (Gender_Male, MaritalStatus_Single)                                      \n",
       "1072  (HourlyRate_Range_<=48, JobInvolvement_2)                                \n",
       "1073  (HourlyRate_Range_<=48, JobInvolvement_3)                                \n",
       "1075  (HourlyRate_Range_<=48, JobLevel_1)                                      \n",
       "1076  (HourlyRate_Range_<=48, JobLevel_2)                                      \n",
       "1082  (JobRole_Sales Executive, HourlyRate_Range_<=48)                         \n",
       "1085  (JobSatisfaction_3, HourlyRate_Range_<=48)                               \n",
       "1086  (HourlyRate_Range_<=48, JobSatisfaction_4)                               \n",
       "1087  (HourlyRate_Range_<=48, MaritalStatus_Divorced)                          \n",
       "1088  (HourlyRate_Range_<=48, MaritalStatus_Married)                           \n",
       "1089  (HourlyRate_Range_<=48, MaritalStatus_Single)                            \n",
       "1090  (HourlyRate_Range_>48 <=60, JobInvolvement_2)                            \n",
       "1091  (HourlyRate_Range_>48 <=60, JobInvolvement_3)                            \n",
       "1093  (JobLevel_1, HourlyRate_Range_>48 <=60)                                  \n",
       "1094  (JobLevel_2, HourlyRate_Range_>48 <=60)                                  \n",
       "1099  (JobRole_Sales Executive, HourlyRate_Range_>48 <=60)                     \n",
       "1101  (JobSatisfaction_2, HourlyRate_Range_>48 <=60)                           \n",
       "1102  (JobSatisfaction_3, HourlyRate_Range_>48 <=60)                           \n",
       "1103  (HourlyRate_Range_>48 <=60, JobSatisfaction_4)                           \n",
       "1104  (HourlyRate_Range_>48 <=60, MaritalStatus_Divorced)                      \n",
       "1105  (HourlyRate_Range_>48 <=60, MaritalStatus_Married)                       \n",
       "1106  (MaritalStatus_Single, HourlyRate_Range_>48 <=60)                        \n",
       "1107  (HourlyRate_Range_>60 <=80, JobInvolvement_2)                            \n",
       "1108  (HourlyRate_Range_>60 <=80, JobInvolvement_3)                            \n",
       "1110  (JobLevel_1, HourlyRate_Range_>60 <=80)                                  \n",
       "1111  (JobLevel_2, HourlyRate_Range_>60 <=80)                                  \n",
       "1114  (HourlyRate_Range_>60 <=80, JobRole_Research Scientist)                  \n",
       "1115  (JobRole_Sales Executive, HourlyRate_Range_>60 <=80)                     \n",
       "1116  (JobSatisfaction_1, HourlyRate_Range_>60 <=80)                           \n",
       "1118  (JobSatisfaction_3, HourlyRate_Range_>60 <=80)                           \n",
       "1119  (HourlyRate_Range_>60 <=80, JobSatisfaction_4)                           \n",
       "1121  (HourlyRate_Range_>60 <=80, MaritalStatus_Married)                       \n",
       "1122  (MaritalStatus_Single, HourlyRate_Range_>60 <=80)                        \n",
       "1123  (JobInvolvement_2, HourlyRate_Range_>80)                                 \n",
       "1124  (JobInvolvement_3, HourlyRate_Range_>80)                                 \n",
       "1126  (JobLevel_1, HourlyRate_Range_>80)                                       \n",
       "1127  (JobLevel_2, HourlyRate_Range_>80)                                       \n",
       "1134  (JobRole_Sales Executive, HourlyRate_Range_>80)                          \n",
       "1135  (JobSatisfaction_1, HourlyRate_Range_>80)                                \n",
       "1137  (JobSatisfaction_3, HourlyRate_Range_>80)                                \n",
       "1138  (JobSatisfaction_4, HourlyRate_Range_>80)                                \n",
       "1139  (MaritalStatus_Divorced, HourlyRate_Range_>80)                           \n",
       "1140  (MaritalStatus_Married, HourlyRate_Range_>80)                            \n",
       "1141  (MaritalStatus_Single, HourlyRate_Range_>80)                             \n",
       "1146  (JobLevel_1, JobInvolvement_2)                                           \n",
       "1147  (JobLevel_2, JobInvolvement_2)                                           \n",
       "1153  (JobRole_Sales Executive, JobInvolvement_2)                              \n",
       "1154  (JobSatisfaction_1, JobInvolvement_2)                                    \n",
       "1155  (JobSatisfaction_2, JobInvolvement_2)                                    \n",
       "1156  (JobSatisfaction_3, JobInvolvement_2)                                    \n",
       "1157  (JobInvolvement_2, JobSatisfaction_4)                                    \n",
       "1159  (JobInvolvement_2, MaritalStatus_Married)                                \n",
       "1160  (MaritalStatus_Single, JobInvolvement_2)                                 \n",
       "1161  (JobLevel_1, JobInvolvement_3)                                           \n",
       "1162  (JobLevel_2, JobInvolvement_3)                                           \n",
       "1163  (JobInvolvement_3, JobLevel_3)                                           \n",
       "1168  (JobRole_Laboratory Technician, JobInvolvement_3)                        \n",
       "1170  (JobRole_Manufacturing Director, JobInvolvement_3)                       \n",
       "1172  (JobInvolvement_3, JobRole_Research Scientist)                           \n",
       "1173  (JobRole_Sales Executive, JobInvolvement_3)                              \n",
       "1175  (JobSatisfaction_1, JobInvolvement_3)                                    \n",
       "1176  (JobSatisfaction_2, JobInvolvement_3)                                    \n",
       "1177  (JobSatisfaction_3, JobInvolvement_3)                                    \n",
       "1178  (JobInvolvement_3, JobSatisfaction_4)                                    \n",
       "1179  (JobInvolvement_3, MaritalStatus_Divorced)                               \n",
       "1180  (JobInvolvement_3, MaritalStatus_Married)                                \n",
       "1181  (MaritalStatus_Single, JobInvolvement_3)                                 \n",
       "1189  (JobInvolvement_4, MaritalStatus_Married)                                \n",
       "1192  (JobRole_Laboratory Technician, JobLevel_1)                              \n",
       "1193  (JobLevel_1, JobRole_Research Scientist)                                 \n",
       "1194  (JobRole_Sales Representative, JobLevel_1)                               \n",
       "1195  (JobSatisfaction_1, JobLevel_1)                                          \n",
       "1196  (JobSatisfaction_2, JobLevel_1)                                          \n",
       "1197  (JobSatisfaction_3, JobLevel_1)                                          \n",
       "1198  (JobLevel_1, JobSatisfaction_4)                                          \n",
       "1199  (JobLevel_1, MaritalStatus_Divorced)                                     \n",
       "1200  (JobLevel_1, MaritalStatus_Married)                                      \n",
       "1201  (JobLevel_1, MaritalStatus_Single)                                       \n",
       "1202  (JobLevel_2, JobRole_Healthcare Representative)                          \n",
       "1204  (JobRole_Manufacturing Director, JobLevel_2)                             \n",
       "1206  (JobRole_Sales Executive, JobLevel_2)                                    \n",
       "1207  (JobSatisfaction_1, JobLevel_2)                                          \n",
       "1208  (JobSatisfaction_2, JobLevel_2)                                          \n",
       "1209  (JobSatisfaction_3, JobLevel_2)                                          \n",
       "1210  (JobLevel_2, JobSatisfaction_4)                                          \n",
       "1211  (JobLevel_2, MaritalStatus_Divorced)                                     \n",
       "1212  (JobLevel_2, MaritalStatus_Married)                                      \n",
       "1213  (MaritalStatus_Single, JobLevel_2)                                       \n",
       "1216  (JobRole_Sales Executive, JobLevel_3)                                    \n",
       "1222  (JobLevel_3, MaritalStatus_Married)                                      \n",
       "1236  (JobSatisfaction_3, JobRole_Laboratory Technician)                       \n",
       "1237  (JobRole_Laboratory Technician, JobSatisfaction_4)                       \n",
       "1239  (JobRole_Laboratory Technician, MaritalStatus_Married)                   \n",
       "1240  (JobRole_Laboratory Technician, MaritalStatus_Single)                    \n",
       "1252  (JobSatisfaction_3, JobRole_Research Scientist)                          \n",
       "1253  (JobRole_Research Scientist, JobSatisfaction_4)                          \n",
       "1255  (JobRole_Research Scientist, MaritalStatus_Married)                      \n",
       "1256  (MaritalStatus_Single, JobRole_Research Scientist)                       \n",
       "1259  (JobSatisfaction_3, JobRole_Sales Executive)                             \n",
       "1260  (JobRole_Sales Executive, JobSatisfaction_4)                             \n",
       "1262  (JobRole_Sales Executive, MaritalStatus_Married)                         \n",
       "1263  (JobRole_Sales Executive, MaritalStatus_Single)                          \n",
       "1267  (JobSatisfaction_1, MaritalStatus_Married)                               \n",
       "1268  (JobSatisfaction_1, MaritalStatus_Single)                                \n",
       "1270  (JobSatisfaction_2, MaritalStatus_Married)                               \n",
       "1271  (JobSatisfaction_2, MaritalStatus_Single)                                \n",
       "1272  (JobSatisfaction_3, MaritalStatus_Divorced)                              \n",
       "1273  (JobSatisfaction_3, MaritalStatus_Married)                               \n",
       "1274  (JobSatisfaction_3, MaritalStatus_Single)                                \n",
       "1275  (MaritalStatus_Divorced, JobSatisfaction_4)                              \n",
       "1276  (JobSatisfaction_4, MaritalStatus_Married)                               \n",
       "1277  (MaritalStatus_Single, JobSatisfaction_4)                                \n",
       "\n",
       "      length  \n",
       "61    2       \n",
       "62    2       \n",
       "63    2       \n",
       "64    2       \n",
       "65    2       \n",
       "66    2       \n",
       "67    2       \n",
       "69    2       \n",
       "70    2       \n",
       "71    2       \n",
       "72    2       \n",
       "73    2       \n",
       "74    2       \n",
       "75    2       \n",
       "76    2       \n",
       "77    2       \n",
       "78    2       \n",
       "80    2       \n",
       "81    2       \n",
       "82    2       \n",
       "84    2       \n",
       "85    2       \n",
       "86    2       \n",
       "87    2       \n",
       "88    2       \n",
       "89    2       \n",
       "90    2       \n",
       "91    2       \n",
       "92    2       \n",
       "93    2       \n",
       "94    2       \n",
       "96    2       \n",
       "97    2       \n",
       "98    2       \n",
       "99    2       \n",
       "100   2       \n",
       "101   2       \n",
       "102   2       \n",
       "104   2       \n",
       "106   2       \n",
       "107   2       \n",
       "108   2       \n",
       "109   2       \n",
       "110   2       \n",
       "111   2       \n",
       "113   2       \n",
       "114   2       \n",
       "115   2       \n",
       "116   2       \n",
       "117   2       \n",
       "118   2       \n",
       "119   2       \n",
       "125   2       \n",
       "126   2       \n",
       "127   2       \n",
       "134   2       \n",
       "136   2       \n",
       "144   2       \n",
       "145   2       \n",
       "151   2       \n",
       "152   2       \n",
       "164   2       \n",
       "165   2       \n",
       "168   2       \n",
       "169   2       \n",
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      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "frequent_items[ (frequent_items['length'] == 2) &\n",
    "                   (frequent_items['support'] >= 0.05) ]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\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",
       "      <th>length</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1278</th>\n",
       "      <td>0.036735</td>\n",
       "      <td>(Age_Range_&lt;=30, Attrition_No, BusinessTravel_Travel_Frequently)</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1279</th>\n",
       "      <td>0.173469</td>\n",
       "      <td>(Age_Range_&lt;=30, Attrition_No, BusinessTravel_Travel_Rarely)</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1280</th>\n",
       "      <td>0.152381</td>\n",
       "      <td>(Age_Range_&lt;=30, Attrition_No, Department_Research &amp; Development)</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1281</th>\n",
       "      <td>0.068027</td>\n",
       "      <td>(Age_Range_&lt;=30, Attrition_No, Department_Sales)</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1282</th>\n",
       "      <td>0.065306</td>\n",
       "      <td>(Age_Range_&lt;=30, Attrition_No, DistanceFromHome_Range_&lt;=2)</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       support  \\\n",
       "1278  0.036735   \n",
       "1279  0.173469   \n",
       "1280  0.152381   \n",
       "1281  0.068027   \n",
       "1282  0.065306   \n",
       "\n",
       "                                                               itemsets  \\\n",
       "1278  (Age_Range_<=30, Attrition_No, BusinessTravel_Travel_Frequently)    \n",
       "1279  (Age_Range_<=30, Attrition_No, BusinessTravel_Travel_Rarely)        \n",
       "1280  (Age_Range_<=30, Attrition_No, Department_Research & Development)   \n",
       "1281  (Age_Range_<=30, Attrition_No, Department_Sales)                    \n",
       "1282  (Age_Range_<=30, Attrition_No, DistanceFromHome_Range_<=2)          \n",
       "\n",
       "      length  \n",
       "1278  3       \n",
       "1279  3       \n",
       "1280  3       \n",
       "1281  3       \n",
       "1282  3       "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "frequent_items[ (frequent_items['length'] == 3) ].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1100x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(nrows=1, ncols=1)\n",
    "fig.set_size_inches(11, 8)\n",
    "ax.hist(rules['confidence'], density=True, color=\"#FFFFFF\", edgecolor=\"black\", linewidth=1.1)\n",
    "ax.set_title(\"Histogram of rules' confidence\", fontsize=14, loc=\"left\", color=\"red\")\n",
    "ax.set_ylabel(\"Confidence\", fontsize=12, color=\"#000000\")\n",
    "ax.grid(False)\n",
    "ax.set_facecolor(None)\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1100x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(nrows=1, ncols=1)\n",
    "fig.set_size_inches(11, 8)\n",
    "ax.hist(rules['lift'], density=True, color=\"#FFFFFF\", edgecolor=\"black\", linewidth=1.1)\n",
    "ax.set_title(\"Histogram of rules' lift\", fontsize=14, loc=\"left\", color=\"red\")\n",
    "ax.set_ylabel(\"Lift\", fontsize=12, color=\"#000000\")\n",
    "ax.grid(False)\n",
    "ax.set_facecolor(None)\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\user\\anaconda3\\lib\\site-packages\\pandas\\core\\indexing.py:670: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  self._setitem_with_indexer(indexer, value)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Support')"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "top_items = frequent_items.sort_values('support', ascending = False)[:20]\n",
    "for i in range(len(top_items.itemsets)):\n",
    "    top_items.itemsets.iloc[i] = str(list(top_items.itemsets.iloc[i]))\n",
    "fig = plt.figure(figsize = (10,10))\n",
    "ax = fig.add_subplot(111)\n",
    "ax.bar(top_items.itemsets, top_items.support)\n",
    "for label in ax.xaxis.get_ticklabels():\n",
    "    label.set_rotation(90)\n",
    "ax.set_title(\"Histogram of rules' support\", fontsize=14, loc=\"left\", color=\"red\")\n",
    "plt.xlabel('Item')\n",
    "plt.ylabel('Support')"
   ]
  },
  {
   "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>2259</th>\n",
       "      <td>(BusinessTravel_Travel_Rarely, JobLevel_2, Department_Research &amp; Development)</td>\n",
       "      <td>(Attrition_No)</td>\n",
       "      <td>0.144898</td>\n",
       "      <td>0.838776</td>\n",
       "      <td>0.139456</td>\n",
       "      <td>0.962441</td>\n",
       "      <td>1.147436</td>\n",
       "      <td>0.017919</td>\n",
       "      <td>4.292602</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2273</th>\n",
       "      <td>(Gender_Male, JobLevel_2, Department_Research &amp; Development)</td>\n",
       "      <td>(Attrition_No)</td>\n",
       "      <td>0.119048</td>\n",
       "      <td>0.838776</td>\n",
       "      <td>0.112925</td>\n",
       "      <td>0.948571</td>\n",
       "      <td>1.130900</td>\n",
       "      <td>0.013071</td>\n",
       "      <td>3.134921</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2448</th>\n",
       "      <td>(JobLevel_2, JobSatisfaction_4)</td>\n",
       "      <td>(Attrition_No)</td>\n",
       "      <td>0.117007</td>\n",
       "      <td>0.838776</td>\n",
       "      <td>0.110884</td>\n",
       "      <td>0.947674</td>\n",
       "      <td>1.129831</td>\n",
       "      <td>0.012742</td>\n",
       "      <td>3.081179</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2234</th>\n",
       "      <td>(JobLevel_2, Department_Research &amp; Development)</td>\n",
       "      <td>(Attrition_No)</td>\n",
       "      <td>0.191156</td>\n",
       "      <td>0.838776</td>\n",
       "      <td>0.180952</td>\n",
       "      <td>0.946619</td>\n",
       "      <td>1.128573</td>\n",
       "      <td>0.020615</td>\n",
       "      <td>3.020272</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2287</th>\n",
       "      <td>(JobLevel_2, JobInvolvement_3, Department_Research &amp; Development)</td>\n",
       "      <td>(Attrition_No)</td>\n",
       "      <td>0.111565</td>\n",
       "      <td>0.838776</td>\n",
       "      <td>0.105442</td>\n",
       "      <td>0.945122</td>\n",
       "      <td>1.126788</td>\n",
       "      <td>0.011865</td>\n",
       "      <td>2.937868</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2171</th>\n",
       "      <td>(EducationField_Life Sciences, BusinessTravel_Travel_Rarely, JobLevel_2)</td>\n",
       "      <td>(Attrition_No)</td>\n",
       "      <td>0.108163</td>\n",
       "      <td>0.838776</td>\n",
       "      <td>0.102041</td>\n",
       "      <td>0.943396</td>\n",
       "      <td>1.124730</td>\n",
       "      <td>0.011316</td>\n",
       "      <td>2.848299</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2221</th>\n",
       "      <td>(BusinessTravel_Travel_Rarely, JobLevel_2, MaritalStatus_Married)</td>\n",
       "      <td>(Attrition_No)</td>\n",
       "      <td>0.128571</td>\n",
       "      <td>0.838776</td>\n",
       "      <td>0.120408</td>\n",
       "      <td>0.936508</td>\n",
       "      <td>1.116518</td>\n",
       "      <td>0.012566</td>\n",
       "      <td>2.539286</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2401</th>\n",
       "      <td>(Gender_Male, JobInvolvement_3, JobSatisfaction_4)</td>\n",
       "      <td>(Attrition_No)</td>\n",
       "      <td>0.107483</td>\n",
       "      <td>0.838776</td>\n",
       "      <td>0.100000</td>\n",
       "      <td>0.930380</td>\n",
       "      <td>1.109212</td>\n",
       "      <td>0.009846</td>\n",
       "      <td>2.315770</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4484</th>\n",
       "      <td>(Gender_Male, Department_Research &amp; Development, BusinessTravel_Travel_Rarely, MaritalStatus_Married)</td>\n",
       "      <td>(Attrition_No)</td>\n",
       "      <td>0.130612</td>\n",
       "      <td>0.838776</td>\n",
       "      <td>0.121088</td>\n",
       "      <td>0.927083</td>\n",
       "      <td>1.105282</td>\n",
       "      <td>0.011534</td>\n",
       "      <td>2.211079</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2158</th>\n",
       "      <td>(EducationField_Life Sciences, JobLevel_2)</td>\n",
       "      <td>(Attrition_No)</td>\n",
       "      <td>0.146939</td>\n",
       "      <td>0.838776</td>\n",
       "      <td>0.136054</td>\n",
       "      <td>0.925926</td>\n",
       "      <td>1.103902</td>\n",
       "      <td>0.012806</td>\n",
       "      <td>2.176531</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                                                                antecedents  \\\n",
       "2259  (BusinessTravel_Travel_Rarely, JobLevel_2, Department_Research & Development)                           \n",
       "2273  (Gender_Male, JobLevel_2, Department_Research & Development)                                            \n",
       "2448  (JobLevel_2, JobSatisfaction_4)                                                                         \n",
       "2234  (JobLevel_2, Department_Research & Development)                                                         \n",
       "2287  (JobLevel_2, JobInvolvement_3, Department_Research & Development)                                       \n",
       "2171  (EducationField_Life Sciences, BusinessTravel_Travel_Rarely, JobLevel_2)                                \n",
       "2221  (BusinessTravel_Travel_Rarely, JobLevel_2, MaritalStatus_Married)                                       \n",
       "2401  (Gender_Male, JobInvolvement_3, JobSatisfaction_4)                                                      \n",
       "4484  (Gender_Male, Department_Research & Development, BusinessTravel_Travel_Rarely, MaritalStatus_Married)   \n",
       "2158  (EducationField_Life Sciences, JobLevel_2)                                                              \n",
       "\n",
       "         consequents  antecedent support  consequent support   support  \\\n",
       "2259  (Attrition_No)  0.144898            0.838776            0.139456   \n",
       "2273  (Attrition_No)  0.119048            0.838776            0.112925   \n",
       "2448  (Attrition_No)  0.117007            0.838776            0.110884   \n",
       "2234  (Attrition_No)  0.191156            0.838776            0.180952   \n",
       "2287  (Attrition_No)  0.111565            0.838776            0.105442   \n",
       "2171  (Attrition_No)  0.108163            0.838776            0.102041   \n",
       "2221  (Attrition_No)  0.128571            0.838776            0.120408   \n",
       "2401  (Attrition_No)  0.107483            0.838776            0.100000   \n",
       "4484  (Attrition_No)  0.130612            0.838776            0.121088   \n",
       "2158  (Attrition_No)  0.146939            0.838776            0.136054   \n",
       "\n",
       "      confidence      lift  leverage  conviction  \n",
       "2259  0.962441    1.147436  0.017919  4.292602    \n",
       "2273  0.948571    1.130900  0.013071  3.134921    \n",
       "2448  0.947674    1.129831  0.012742  3.081179    \n",
       "2234  0.946619    1.128573  0.020615  3.020272    \n",
       "2287  0.945122    1.126788  0.011865  2.937868    \n",
       "2171  0.943396    1.124730  0.011316  2.848299    \n",
       "2221  0.936508    1.116518  0.012566  2.539286    \n",
       "2401  0.930380    1.109212  0.009846  2.315770    \n",
       "4484  0.927083    1.105282  0.011534  2.211079    \n",
       "2158  0.925926    1.103902  0.012806  2.176531    "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "frequent_itemsets_fp=fpgrowth(df, min_support=0.1, use_colnames=True)\n",
    "rules = association_rules(frequent_itemsets_fp, metric=\"lift\", min_threshold=0.7)\n",
    "target = '{\\'Attrition_No\\'}'\n",
    "results_attrition_no = rules[rules['consequents'].astype(str).str.contains(target, na=False)].sort_values(by='confidence', ascending=False)\n",
    "results_attrition_no.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "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>2259</th>\n",
       "      <td>(BusinessTravel_Travel_Rarely, JobLevel_2, Department_Research &amp; Development)</td>\n",
       "      <td>(Attrition_No)</td>\n",
       "      <td>0.144898</td>\n",
       "      <td>0.838776</td>\n",
       "      <td>0.139456</td>\n",
       "      <td>0.962441</td>\n",
       "      <td>1.147436</td>\n",
       "      <td>0.017919</td>\n",
       "      <td>4.292602</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2273</th>\n",
       "      <td>(Gender_Male, JobLevel_2, Department_Research &amp; Development)</td>\n",
       "      <td>(Attrition_No)</td>\n",
       "      <td>0.119048</td>\n",
       "      <td>0.838776</td>\n",
       "      <td>0.112925</td>\n",
       "      <td>0.948571</td>\n",
       "      <td>1.130900</td>\n",
       "      <td>0.013071</td>\n",
       "      <td>3.134921</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2448</th>\n",
       "      <td>(JobLevel_2, JobSatisfaction_4)</td>\n",
       "      <td>(Attrition_No)</td>\n",
       "      <td>0.117007</td>\n",
       "      <td>0.838776</td>\n",
       "      <td>0.110884</td>\n",
       "      <td>0.947674</td>\n",
       "      <td>1.129831</td>\n",
       "      <td>0.012742</td>\n",
       "      <td>3.081179</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2234</th>\n",
       "      <td>(JobLevel_2, Department_Research &amp; Development)</td>\n",
       "      <td>(Attrition_No)</td>\n",
       "      <td>0.191156</td>\n",
       "      <td>0.838776</td>\n",
       "      <td>0.180952</td>\n",
       "      <td>0.946619</td>\n",
       "      <td>1.128573</td>\n",
       "      <td>0.020615</td>\n",
       "      <td>3.020272</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2287</th>\n",
       "      <td>(JobLevel_2, JobInvolvement_3, Department_Research &amp; Development)</td>\n",
       "      <td>(Attrition_No)</td>\n",
       "      <td>0.111565</td>\n",
       "      <td>0.838776</td>\n",
       "      <td>0.105442</td>\n",
       "      <td>0.945122</td>\n",
       "      <td>1.126788</td>\n",
       "      <td>0.011865</td>\n",
       "      <td>2.937868</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2171</th>\n",
       "      <td>(EducationField_Life Sciences, BusinessTravel_Travel_Rarely, JobLevel_2)</td>\n",
       "      <td>(Attrition_No)</td>\n",
       "      <td>0.108163</td>\n",
       "      <td>0.838776</td>\n",
       "      <td>0.102041</td>\n",
       "      <td>0.943396</td>\n",
       "      <td>1.124730</td>\n",
       "      <td>0.011316</td>\n",
       "      <td>2.848299</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2221</th>\n",
       "      <td>(BusinessTravel_Travel_Rarely, JobLevel_2, MaritalStatus_Married)</td>\n",
       "      <td>(Attrition_No)</td>\n",
       "      <td>0.128571</td>\n",
       "      <td>0.838776</td>\n",
       "      <td>0.120408</td>\n",
       "      <td>0.936508</td>\n",
       "      <td>1.116518</td>\n",
       "      <td>0.012566</td>\n",
       "      <td>2.539286</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2401</th>\n",
       "      <td>(Gender_Male, JobInvolvement_3, JobSatisfaction_4)</td>\n",
       "      <td>(Attrition_No)</td>\n",
       "      <td>0.107483</td>\n",
       "      <td>0.838776</td>\n",
       "      <td>0.100000</td>\n",
       "      <td>0.930380</td>\n",
       "      <td>1.109212</td>\n",
       "      <td>0.009846</td>\n",
       "      <td>2.315770</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4484</th>\n",
       "      <td>(Gender_Male, Department_Research &amp; Development, BusinessTravel_Travel_Rarely, MaritalStatus_Married)</td>\n",
       "      <td>(Attrition_No)</td>\n",
       "      <td>0.130612</td>\n",
       "      <td>0.838776</td>\n",
       "      <td>0.121088</td>\n",
       "      <td>0.927083</td>\n",
       "      <td>1.105282</td>\n",
       "      <td>0.011534</td>\n",
       "      <td>2.211079</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2158</th>\n",
       "      <td>(EducationField_Life Sciences, JobLevel_2)</td>\n",
       "      <td>(Attrition_No)</td>\n",
       "      <td>0.146939</td>\n",
       "      <td>0.838776</td>\n",
       "      <td>0.136054</td>\n",
       "      <td>0.925926</td>\n",
       "      <td>1.103902</td>\n",
       "      <td>0.012806</td>\n",
       "      <td>2.176531</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                                                                antecedents  \\\n",
       "2259  (BusinessTravel_Travel_Rarely, JobLevel_2, Department_Research & Development)                           \n",
       "2273  (Gender_Male, JobLevel_2, Department_Research & Development)                                            \n",
       "2448  (JobLevel_2, JobSatisfaction_4)                                                                         \n",
       "2234  (JobLevel_2, Department_Research & Development)                                                         \n",
       "2287  (JobLevel_2, JobInvolvement_3, Department_Research & Development)                                       \n",
       "2171  (EducationField_Life Sciences, BusinessTravel_Travel_Rarely, JobLevel_2)                                \n",
       "2221  (BusinessTravel_Travel_Rarely, JobLevel_2, MaritalStatus_Married)                                       \n",
       "2401  (Gender_Male, JobInvolvement_3, JobSatisfaction_4)                                                      \n",
       "4484  (Gender_Male, Department_Research & Development, BusinessTravel_Travel_Rarely, MaritalStatus_Married)   \n",
       "2158  (EducationField_Life Sciences, JobLevel_2)                                                              \n",
       "\n",
       "         consequents  antecedent support  consequent support   support  \\\n",
       "2259  (Attrition_No)  0.144898            0.838776            0.139456   \n",
       "2273  (Attrition_No)  0.119048            0.838776            0.112925   \n",
       "2448  (Attrition_No)  0.117007            0.838776            0.110884   \n",
       "2234  (Attrition_No)  0.191156            0.838776            0.180952   \n",
       "2287  (Attrition_No)  0.111565            0.838776            0.105442   \n",
       "2171  (Attrition_No)  0.108163            0.838776            0.102041   \n",
       "2221  (Attrition_No)  0.128571            0.838776            0.120408   \n",
       "2401  (Attrition_No)  0.107483            0.838776            0.100000   \n",
       "4484  (Attrition_No)  0.130612            0.838776            0.121088   \n",
       "2158  (Attrition_No)  0.146939            0.838776            0.136054   \n",
       "\n",
       "      confidence      lift  leverage  conviction  \n",
       "2259  0.962441    1.147436  0.017919  4.292602    \n",
       "2273  0.948571    1.130900  0.013071  3.134921    \n",
       "2448  0.947674    1.129831  0.012742  3.081179    \n",
       "2234  0.946619    1.128573  0.020615  3.020272    \n",
       "2287  0.945122    1.126788  0.011865  2.937868    \n",
       "2171  0.943396    1.124730  0.011316  2.848299    \n",
       "2221  0.936508    1.116518  0.012566  2.539286    \n",
       "2401  0.930380    1.109212  0.009846  2.315770    \n",
       "4484  0.927083    1.105282  0.011534  2.211079    \n",
       "2158  0.925926    1.103902  0.012806  2.176531    "
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "results_attrition_no.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "import time\n",
    "su = frequent_itemsets_fp.support.unique()#all unique support count\n",
    "#Dictionay storing itemset with same support count key\n",
    "fredic = {}\n",
    "for i in range(len(su)):\n",
    "    inset = list(frequent_itemsets_fp.loc[frequent_itemsets_fp.support ==su[i]]['itemsets'])\n",
    "    fredic[su[i]] = inset\n",
    "#Dictionay storing itemset with  support count <= key\n",
    "fredic2 = {}\n",
    "for i in range(len(su)):\n",
    "    inset2 = list(frequent_itemsets_fp.loc[frequent_itemsets_fp.support<=su[i]]['itemsets'])\n",
    "    fredic2[su[i]] = inset2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[frozenset({'Attrition_No'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely'}),\n",
       " frozenset({'Department_Research & Development'}),\n",
       " frozenset({'Gender_Male'}),\n",
       " frozenset({'JobInvolvement_3'}),\n",
       " frozenset({'MaritalStatus_Single'}),\n",
       " frozenset({'EducationField_Medical'}),\n",
       " frozenset({'JobSatisfaction_3'}),\n",
       " frozenset({'Education_4'}),\n",
       " frozenset({'HourlyRate_Range_>80'}),\n",
       " frozenset({'DistanceFromHome_Range_>6 <=15'}),\n",
       " frozenset({'Age_Range_>43'}),\n",
       " frozenset({'EnvironmentSatisfaction_2'}),\n",
       " frozenset({'JobLevel_3'}),\n",
       " frozenset({'EducationField_Life Sciences'}),\n",
       " frozenset({'DistanceFromHome_Range_<=2'}),\n",
       " frozenset({'HourlyRate_Range_>48 <=60'}),\n",
       " frozenset({'Age_Range_>30 <=36'}),\n",
       " frozenset({'MaritalStatus_Divorced'}),\n",
       " frozenset({'Education_1'}),\n",
       " frozenset({'Education_3'}),\n",
       " frozenset({'JobLevel_2'}),\n",
       " frozenset({'JobSatisfaction_4'}),\n",
       " frozenset({'EnvironmentSatisfaction_3'}),\n",
       " frozenset({'Department_Sales'}),\n",
       " frozenset({'Age_Range_<=30'}),\n",
       " frozenset({'HourlyRate_Range_<=48'}),\n",
       " frozenset({'DistanceFromHome_Range_>15'}),\n",
       " frozenset({'BusinessTravel_Travel_Frequently'}),\n",
       " frozenset({'JobLevel_1'}),\n",
       " frozenset({'DistanceFromHome_Range_>2 <=5'}),\n",
       " frozenset({'JobSatisfaction_2'}),\n",
       " frozenset({'Gender_Female'}),\n",
       " frozenset({'HourlyRate_Range_>60 <=80'}),\n",
       " frozenset({'Education_2'}),\n",
       " frozenset({'EnvironmentSatisfaction_4'}),\n",
       " frozenset({'MaritalStatus_Married'}),\n",
       " frozenset({'Age_Range_>36 <=43'}),\n",
       " frozenset({'EnvironmentSatisfaction_1'}),\n",
       " frozenset({'JobSatisfaction_1'}),\n",
       " frozenset({'Attrition_Yes'}),\n",
       " frozenset({'JobInvolvement_2'}),\n",
       " frozenset({'Attrition_No', 'BusinessTravel_Travel_Rarely'}),\n",
       " frozenset({'Attrition_No', 'Department_Research & Development'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development'}),\n",
       " frozenset({'Attrition_No', 'Gender_Male'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely', 'Gender_Male'}),\n",
       " frozenset({'Department_Research & Development', 'Gender_Male'}),\n",
       " frozenset({'Attrition_No', 'BusinessTravel_Travel_Rarely', 'Gender_Male'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'Department_Research & Development',\n",
       "            'Gender_Male'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development',\n",
       "            'Gender_Male'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development',\n",
       "            'Gender_Male'}),\n",
       " frozenset({'Attrition_No', 'JobInvolvement_3'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely', 'JobInvolvement_3'}),\n",
       " frozenset({'Department_Research & Development', 'JobInvolvement_3'}),\n",
       " frozenset({'Gender_Male', 'JobInvolvement_3'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'JobInvolvement_3'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'Department_Research & Development',\n",
       "            'JobInvolvement_3'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development',\n",
       "            'JobInvolvement_3'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development',\n",
       "            'JobInvolvement_3'}),\n",
       " frozenset({'Attrition_No', 'Gender_Male', 'JobInvolvement_3'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'Gender_Male',\n",
       "            'JobInvolvement_3'}),\n",
       " frozenset({'Department_Research & Development',\n",
       "            'Gender_Male',\n",
       "            'JobInvolvement_3'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'Gender_Male',\n",
       "            'JobInvolvement_3'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'Department_Research & Development',\n",
       "            'Gender_Male',\n",
       "            'JobInvolvement_3'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development',\n",
       "            'Gender_Male',\n",
       "            'JobInvolvement_3'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development',\n",
       "            'Gender_Male',\n",
       "            'JobInvolvement_3'}),\n",
       " frozenset({'Attrition_No', 'MaritalStatus_Single'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely', 'MaritalStatus_Single'}),\n",
       " frozenset({'Department_Research & Development', 'MaritalStatus_Single'}),\n",
       " frozenset({'Gender_Male', 'MaritalStatus_Single'}),\n",
       " frozenset({'JobInvolvement_3', 'MaritalStatus_Single'}),\n",
       " frozenset({'JobLevel_1', 'MaritalStatus_Single'}),\n",
       " frozenset({'EducationField_Life Sciences', 'MaritalStatus_Single'}),\n",
       " frozenset({'Gender_Female', 'MaritalStatus_Single'}),\n",
       " frozenset({'JobLevel_2', 'MaritalStatus_Single'}),\n",
       " frozenset({'Education_3', 'MaritalStatus_Single'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'MaritalStatus_Single'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'Department_Research & Development',\n",
       "            'MaritalStatus_Single'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development',\n",
       "            'MaritalStatus_Single'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development',\n",
       "            'MaritalStatus_Single'}),\n",
       " frozenset({'Attrition_No', 'Gender_Male', 'MaritalStatus_Single'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'Gender_Male',\n",
       "            'MaritalStatus_Single'}),\n",
       " frozenset({'Department_Research & Development',\n",
       "            'Gender_Male',\n",
       "            'MaritalStatus_Single'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'Gender_Male',\n",
       "            'MaritalStatus_Single'}),\n",
       " frozenset({'Attrition_No', 'JobInvolvement_3', 'MaritalStatus_Single'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'JobInvolvement_3',\n",
       "            'MaritalStatus_Single'}),\n",
       " frozenset({'Gender_Male', 'JobInvolvement_3', 'MaritalStatus_Single'}),\n",
       " frozenset({'Department_Research & Development',\n",
       "            'JobInvolvement_3',\n",
       "            'MaritalStatus_Single'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'JobInvolvement_3',\n",
       "            'MaritalStatus_Single'}),\n",
       " frozenset({'Department_Research & Development',\n",
       "            'JobLevel_1',\n",
       "            'MaritalStatus_Single'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'EducationField_Life Sciences',\n",
       "            'MaritalStatus_Single'}),\n",
       " frozenset({'Attrition_No', 'EducationField_Medical'}),\n",
       " frozenset({'Department_Research & Development', 'EducationField_Medical'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely', 'EducationField_Medical'}),\n",
       " frozenset({'EducationField_Medical', 'Gender_Male'}),\n",
       " frozenset({'EducationField_Medical', 'JobInvolvement_3'}),\n",
       " frozenset({'EducationField_Medical', 'MaritalStatus_Single'}),\n",
       " frozenset({'EducationField_Medical', 'JobLevel_2'}),\n",
       " frozenset({'EducationField_Medical', 'MaritalStatus_Married'}),\n",
       " frozenset({'EducationField_Medical', 'JobLevel_1'}),\n",
       " frozenset({'EducationField_Medical', 'Education_3'}),\n",
       " frozenset({'EducationField_Medical', 'Gender_Female'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'Department_Research & Development',\n",
       "            'EducationField_Medical'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'EducationField_Medical'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development',\n",
       "            'EducationField_Medical'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development',\n",
       "            'EducationField_Medical'}),\n",
       " frozenset({'Attrition_No', 'EducationField_Medical', 'Gender_Male'}),\n",
       " frozenset({'Department_Research & Development',\n",
       "            'EducationField_Medical',\n",
       "            'Gender_Male'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'EducationField_Medical',\n",
       "            'Gender_Male'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'Department_Research & Development',\n",
       "            'EducationField_Medical',\n",
       "            'Gender_Male'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'EducationField_Medical',\n",
       "            'Gender_Male'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development',\n",
       "            'EducationField_Medical',\n",
       "            'Gender_Male'}),\n",
       " frozenset({'Attrition_No', 'EducationField_Medical', 'JobInvolvement_3'}),\n",
       " frozenset({'Department_Research & Development',\n",
       "            'EducationField_Medical',\n",
       "            'JobInvolvement_3'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'EducationField_Medical',\n",
       "            'JobInvolvement_3'}),\n",
       " frozenset({'EducationField_Medical', 'Gender_Male', 'JobInvolvement_3'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'Department_Research & Development',\n",
       "            'EducationField_Medical',\n",
       "            'JobInvolvement_3'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'EducationField_Medical',\n",
       "            'JobInvolvement_3'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development',\n",
       "            'EducationField_Medical',\n",
       "            'JobInvolvement_3'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'EducationField_Medical',\n",
       "            'MaritalStatus_Married'}),\n",
       " frozenset({'Department_Research & Development',\n",
       "            'EducationField_Medical',\n",
       "            'MaritalStatus_Married'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'EducationField_Medical',\n",
       "            'MaritalStatus_Married'}),\n",
       " frozenset({'Department_Research & Development',\n",
       "            'EducationField_Medical',\n",
       "            'JobLevel_1'}),\n",
       " frozenset({'Attrition_No', 'EducationField_Medical', 'JobLevel_1'}),\n",
       " frozenset({'Attrition_No', 'EducationField_Medical', 'Education_3'}),\n",
       " frozenset({'Department_Research & Development',\n",
       "            'EducationField_Medical',\n",
       "            'Education_3'}),\n",
       " frozenset({'Attrition_No', 'EducationField_Medical', 'Gender_Female'}),\n",
       " frozenset({'Department_Research & Development',\n",
       "            'EducationField_Medical',\n",
       "            'Gender_Female'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'EducationField_Medical',\n",
       "            'Gender_Female'}),\n",
       " frozenset({'Attrition_No', 'JobSatisfaction_3'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely', 'JobSatisfaction_3'}),\n",
       " frozenset({'Department_Research & Development', 'JobSatisfaction_3'}),\n",
       " frozenset({'Gender_Male', 'JobSatisfaction_3'}),\n",
       " frozenset({'JobInvolvement_3', 'JobSatisfaction_3'}),\n",
       " frozenset({'EducationField_Medical', 'JobSatisfaction_3'}),\n",
       " frozenset({'EducationField_Life Sciences', 'JobSatisfaction_3'}),\n",
       " frozenset({'JobLevel_1', 'JobSatisfaction_3'}),\n",
       " frozenset({'Education_3', 'JobSatisfaction_3'}),\n",
       " frozenset({'JobSatisfaction_3', 'MaritalStatus_Married'}),\n",
       " frozenset({'JobLevel_2', 'JobSatisfaction_3'}),\n",
       " frozenset({'Gender_Female', 'JobSatisfaction_3'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'JobSatisfaction_3'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'Department_Research & Development',\n",
       "            'JobSatisfaction_3'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development',\n",
       "            'JobSatisfaction_3'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development',\n",
       "            'JobSatisfaction_3'}),\n",
       " frozenset({'Attrition_No', 'Gender_Male', 'JobSatisfaction_3'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'Gender_Male',\n",
       "            'JobSatisfaction_3'}),\n",
       " frozenset({'Department_Research & Development',\n",
       "            'Gender_Male',\n",
       "            'JobSatisfaction_3'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'Gender_Male',\n",
       "            'JobSatisfaction_3'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'Department_Research & Development',\n",
       "            'Gender_Male',\n",
       "            'JobSatisfaction_3'}),\n",
       " frozenset({'Attrition_No', 'JobInvolvement_3', 'JobSatisfaction_3'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'JobInvolvement_3',\n",
       "            'JobSatisfaction_3'}),\n",
       " frozenset({'Department_Research & Development',\n",
       "            'JobInvolvement_3',\n",
       "            'JobSatisfaction_3'}),\n",
       " frozenset({'Gender_Male', 'JobInvolvement_3', 'JobSatisfaction_3'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'JobInvolvement_3',\n",
       "            'JobSatisfaction_3'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'EducationField_Life Sciences',\n",
       "            'JobSatisfaction_3'}),\n",
       " frozenset({'Attrition_No', 'JobSatisfaction_3', 'MaritalStatus_Married'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'JobSatisfaction_3',\n",
       "            'MaritalStatus_Married'}),\n",
       " frozenset({'Attrition_No', 'Education_4'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely', 'Education_4'}),\n",
       " frozenset({'Department_Research & Development', 'Education_4'}),\n",
       " frozenset({'Education_4', 'JobInvolvement_3'}),\n",
       " frozenset({'Education_4', 'Gender_Male'}),\n",
       " frozenset({'EducationField_Life Sciences', 'Education_4'}),\n",
       " frozenset({'Education_4', 'Gender_Female'}),\n",
       " frozenset({'Education_4', 'MaritalStatus_Married'}),\n",
       " frozenset({'Education_4', 'JobLevel_2'}),\n",
       " frozenset({'Attrition_No', 'BusinessTravel_Travel_Rarely', 'Education_4'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'Department_Research & Development',\n",
       "            'Education_4'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development',\n",
       "            'Education_4'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development',\n",
       "            'Education_4'}),\n",
       " frozenset({'Attrition_No', 'Education_4', 'JobInvolvement_3'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'Education_4',\n",
       "            'JobInvolvement_3'}),\n",
       " frozenset({'Department_Research & Development',\n",
       "            'Education_4',\n",
       "            'JobInvolvement_3'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'Education_4',\n",
       "            'JobInvolvement_3'}),\n",
       " frozenset({'Attrition_No', 'Education_4', 'Gender_Male'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely', 'Education_4', 'Gender_Male'}),\n",
       " frozenset({'Education_4', 'Gender_Male', 'JobInvolvement_3'}),\n",
       " frozenset({'Department_Research & Development',\n",
       "            'Education_4',\n",
       "            'Gender_Male'}),\n",
       " frozenset({'Attrition_No', 'EducationField_Life Sciences', 'Education_4'}),\n",
       " frozenset({'Attrition_No', 'Education_4', 'MaritalStatus_Married'}),\n",
       " frozenset({'Attrition_No', 'Education_4', 'JobLevel_2'}),\n",
       " frozenset({'Attrition_No', 'HourlyRate_Range_>80'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely', 'HourlyRate_Range_>80'}),\n",
       " frozenset({'Department_Research & Development', 'HourlyRate_Range_>80'}),\n",
       " frozenset({'Gender_Male', 'HourlyRate_Range_>80'}),\n",
       " frozenset({'HourlyRate_Range_>80', 'JobInvolvement_3'}),\n",
       " frozenset({'HourlyRate_Range_>80', 'MaritalStatus_Married'}),\n",
       " frozenset({'EducationField_Life Sciences', 'HourlyRate_Range_>80'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'HourlyRate_Range_>80'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'Department_Research & Development',\n",
       "            'HourlyRate_Range_>80'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development',\n",
       "            'HourlyRate_Range_>80'}),\n",
       " frozenset({'Attrition_No', 'Gender_Male', 'HourlyRate_Range_>80'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'Gender_Male',\n",
       "            'HourlyRate_Range_>80'}),\n",
       " frozenset({'Department_Research & Development',\n",
       "            'Gender_Male',\n",
       "            'HourlyRate_Range_>80'}),\n",
       " frozenset({'Attrition_No', 'HourlyRate_Range_>80', 'JobInvolvement_3'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'HourlyRate_Range_>80',\n",
       "            'JobInvolvement_3'}),\n",
       " frozenset({'Attrition_No', 'HourlyRate_Range_>80', 'MaritalStatus_Married'}),\n",
       " frozenset({'Attrition_No', 'DistanceFromHome_Range_>6 <=15'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely', 'DistanceFromHome_Range_>6 <=15'}),\n",
       " frozenset({'DistanceFromHome_Range_>6 <=15', 'Gender_Male'}),\n",
       " frozenset({'DistanceFromHome_Range_>6 <=15', 'JobInvolvement_3'}),\n",
       " frozenset({'Department_Research & Development',\n",
       "            'DistanceFromHome_Range_>6 <=15'}),\n",
       " frozenset({'DistanceFromHome_Range_>6 <=15', 'MaritalStatus_Married'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'DistanceFromHome_Range_>6 <=15'}),\n",
       " frozenset({'Attrition_No', 'DistanceFromHome_Range_>6 <=15', 'Gender_Male'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'DistanceFromHome_Range_>6 <=15',\n",
       "            'Gender_Male'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'DistanceFromHome_Range_>6 <=15',\n",
       "            'JobInvolvement_3'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'DistanceFromHome_Range_>6 <=15',\n",
       "            'JobInvolvement_3'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'Department_Research & Development',\n",
       "            'DistanceFromHome_Range_>6 <=15'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development',\n",
       "            'DistanceFromHome_Range_>6 <=15'}),\n",
       " frozenset({'Age_Range_>43', 'Attrition_No'}),\n",
       " frozenset({'Age_Range_>43', 'BusinessTravel_Travel_Rarely'}),\n",
       " frozenset({'Age_Range_>43', 'Department_Research & Development'}),\n",
       " frozenset({'Age_Range_>43', 'Gender_Male'}),\n",
       " frozenset({'Age_Range_>43', 'JobInvolvement_3'}),\n",
       " frozenset({'Age_Range_>43', 'MaritalStatus_Married'}),\n",
       " frozenset({'Age_Range_>43', 'Attrition_No', 'BusinessTravel_Travel_Rarely'}),\n",
       " frozenset({'Age_Range_>43',\n",
       "            'Attrition_No',\n",
       "            'Department_Research & Development'}),\n",
       " frozenset({'Age_Range_>43',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development'}),\n",
       " frozenset({'Age_Range_>43',\n",
       "            'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development'}),\n",
       " frozenset({'Age_Range_>43', 'Attrition_No', 'Gender_Male'}),\n",
       " frozenset({'Age_Range_>43', 'BusinessTravel_Travel_Rarely', 'Gender_Male'}),\n",
       " frozenset({'Age_Range_>43', 'Attrition_No', 'JobInvolvement_3'}),\n",
       " frozenset({'Attrition_No', 'EnvironmentSatisfaction_2'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely', 'EnvironmentSatisfaction_2'}),\n",
       " frozenset({'EnvironmentSatisfaction_2', 'Gender_Male'}),\n",
       " frozenset({'Department_Research & Development', 'EnvironmentSatisfaction_2'}),\n",
       " frozenset({'EnvironmentSatisfaction_2', 'JobInvolvement_3'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'EnvironmentSatisfaction_2'}),\n",
       " frozenset({'Attrition_No', 'EnvironmentSatisfaction_2', 'Gender_Male'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'Department_Research & Development',\n",
       "            'EnvironmentSatisfaction_2'}),\n",
       " frozenset({'Attrition_No', 'JobLevel_3'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely', 'JobLevel_3'}),\n",
       " frozenset({'Attrition_No', 'EducationField_Life Sciences'}),\n",
       " frozenset({'Department_Research & Development',\n",
       "            'EducationField_Life Sciences'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely', 'EducationField_Life Sciences'}),\n",
       " frozenset({'EducationField_Life Sciences', 'Gender_Male'}),\n",
       " frozenset({'EducationField_Life Sciences', 'JobInvolvement_3'}),\n",
       " frozenset({'EducationField_Life Sciences', 'MaritalStatus_Married'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'Department_Research & Development',\n",
       "            'EducationField_Life Sciences'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'EducationField_Life Sciences'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development',\n",
       "            'EducationField_Life Sciences'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development',\n",
       "            'EducationField_Life Sciences'}),\n",
       " frozenset({'Attrition_No', 'EducationField_Life Sciences', 'Gender_Male'}),\n",
       " frozenset({'Department_Research & Development',\n",
       "            'EducationField_Life Sciences',\n",
       "            'Gender_Male'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'EducationField_Life Sciences',\n",
       "            'Gender_Male'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'Department_Research & Development',\n",
       "            'EducationField_Life Sciences',\n",
       "            'Gender_Male'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'EducationField_Life Sciences',\n",
       "            'Gender_Male'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development',\n",
       "            'EducationField_Life Sciences',\n",
       "            'Gender_Male'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development',\n",
       "            'EducationField_Life Sciences',\n",
       "            'Gender_Male'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'EducationField_Life Sciences',\n",
       "            'JobInvolvement_3'}),\n",
       " frozenset({'Department_Research & Development',\n",
       "            'EducationField_Life Sciences',\n",
       "            'JobInvolvement_3'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'EducationField_Life Sciences',\n",
       "            'JobInvolvement_3'}),\n",
       " frozenset({'EducationField_Life Sciences',\n",
       "            'Gender_Male',\n",
       "            'JobInvolvement_3'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'Department_Research & Development',\n",
       "            'EducationField_Life Sciences',\n",
       "            'JobInvolvement_3'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'EducationField_Life Sciences',\n",
       "            'JobInvolvement_3'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development',\n",
       "            'EducationField_Life Sciences',\n",
       "            'JobInvolvement_3'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development',\n",
       "            'EducationField_Life Sciences',\n",
       "            'JobInvolvement_3'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'EducationField_Life Sciences',\n",
       "            'Gender_Male',\n",
       "            'JobInvolvement_3'}),\n",
       " frozenset({'Department_Research & Development',\n",
       "            'EducationField_Life Sciences',\n",
       "            'Gender_Male',\n",
       "            'JobInvolvement_3'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'EducationField_Life Sciences',\n",
       "            'Gender_Male',\n",
       "            'JobInvolvement_3'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'EducationField_Life Sciences',\n",
       "            'MaritalStatus_Married'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'EducationField_Life Sciences',\n",
       "            'MaritalStatus_Married'}),\n",
       " frozenset({'EducationField_Life Sciences',\n",
       "            'Gender_Male',\n",
       "            'MaritalStatus_Married'}),\n",
       " frozenset({'EducationField_Life Sciences',\n",
       "            'JobInvolvement_3',\n",
       "            'MaritalStatus_Married'}),\n",
       " frozenset({'Department_Research & Development',\n",
       "            'EducationField_Life Sciences',\n",
       "            'MaritalStatus_Married'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'EducationField_Life Sciences',\n",
       "            'MaritalStatus_Married'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'EducationField_Life Sciences',\n",
       "            'Gender_Male',\n",
       "            'MaritalStatus_Married'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'Department_Research & Development',\n",
       "            'EducationField_Life Sciences',\n",
       "            'MaritalStatus_Married'}),\n",
       " frozenset({'Attrition_No', 'DistanceFromHome_Range_<=2'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely', 'DistanceFromHome_Range_<=2'}),\n",
       " frozenset({'Department_Research & Development',\n",
       "            'DistanceFromHome_Range_<=2'}),\n",
       " frozenset({'DistanceFromHome_Range_<=2', 'Gender_Male'}),\n",
       " frozenset({'DistanceFromHome_Range_<=2', 'JobInvolvement_3'}),\n",
       " frozenset({'DistanceFromHome_Range_<=2', 'EducationField_Life Sciences'}),\n",
       " frozenset({'DistanceFromHome_Range_<=2', 'MaritalStatus_Married'}),\n",
       " frozenset({'DistanceFromHome_Range_<=2', 'Education_3'}),\n",
       " frozenset({'DistanceFromHome_Range_<=2', 'Gender_Female'}),\n",
       " frozenset({'DistanceFromHome_Range_<=2', 'JobLevel_1'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'DistanceFromHome_Range_<=2'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'Department_Research & Development',\n",
       "            'DistanceFromHome_Range_<=2'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development',\n",
       "            'DistanceFromHome_Range_<=2'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development',\n",
       "            'DistanceFromHome_Range_<=2'}),\n",
       " frozenset({'Attrition_No', 'DistanceFromHome_Range_<=2', 'Gender_Male'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'DistanceFromHome_Range_<=2',\n",
       "            'Gender_Male'}),\n",
       " frozenset({'Department_Research & Development',\n",
       "            'DistanceFromHome_Range_<=2',\n",
       "            'Gender_Male'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'DistanceFromHome_Range_<=2',\n",
       "            'Gender_Male'}),\n",
       " frozenset({'Attrition_No', 'DistanceFromHome_Range_<=2', 'JobInvolvement_3'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'DistanceFromHome_Range_<=2',\n",
       "            'JobInvolvement_3'}),\n",
       " frozenset({'Department_Research & Development',\n",
       "            'DistanceFromHome_Range_<=2',\n",
       "            'JobInvolvement_3'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'DistanceFromHome_Range_<=2',\n",
       "            'JobInvolvement_3'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'DistanceFromHome_Range_<=2',\n",
       "            'EducationField_Life Sciences'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'DistanceFromHome_Range_<=2',\n",
       "            'MaritalStatus_Married'}),\n",
       " frozenset({'Attrition_No', 'DistanceFromHome_Range_<=2', 'Gender_Female'}),\n",
       " frozenset({'Attrition_No', 'HourlyRate_Range_>48 <=60'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely', 'HourlyRate_Range_>48 <=60'}),\n",
       " frozenset({'Department_Research & Development', 'HourlyRate_Range_>48 <=60'}),\n",
       " frozenset({'Gender_Male', 'HourlyRate_Range_>48 <=60'}),\n",
       " frozenset({'HourlyRate_Range_>48 <=60', 'JobInvolvement_3'}),\n",
       " frozenset({'EducationField_Life Sciences', 'HourlyRate_Range_>48 <=60'}),\n",
       " frozenset({'Education_3', 'HourlyRate_Range_>48 <=60'}),\n",
       " frozenset({'HourlyRate_Range_>48 <=60', 'MaritalStatus_Married'}),\n",
       " frozenset({'Gender_Female', 'HourlyRate_Range_>48 <=60'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'HourlyRate_Range_>48 <=60'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'Department_Research & Development',\n",
       "            'HourlyRate_Range_>48 <=60'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development',\n",
       "            'HourlyRate_Range_>48 <=60'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development',\n",
       "            'HourlyRate_Range_>48 <=60'}),\n",
       " frozenset({'Attrition_No', 'Gender_Male', 'HourlyRate_Range_>48 <=60'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'Gender_Male',\n",
       "            'HourlyRate_Range_>48 <=60'}),\n",
       " frozenset({'Attrition_No', 'HourlyRate_Range_>48 <=60', 'JobInvolvement_3'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'HourlyRate_Range_>48 <=60',\n",
       "            'JobInvolvement_3'}),\n",
       " frozenset({'Department_Research & Development',\n",
       "            'HourlyRate_Range_>48 <=60',\n",
       "            'JobInvolvement_3'}),\n",
       " frozenset({'Age_Range_>30 <=36', 'Attrition_No'}),\n",
       " frozenset({'Age_Range_>30 <=36', 'BusinessTravel_Travel_Rarely'}),\n",
       " frozenset({'Age_Range_>30 <=36', 'JobInvolvement_3'}),\n",
       " frozenset({'Age_Range_>30 <=36', 'Department_Research & Development'}),\n",
       " frozenset({'Age_Range_>30 <=36', 'Gender_Male'}),\n",
       " frozenset({'Age_Range_>30 <=36', 'EducationField_Life Sciences'}),\n",
       " frozenset({'Age_Range_>30 <=36', 'MaritalStatus_Married'}),\n",
       " frozenset({'Age_Range_>30 <=36', 'Gender_Female'}),\n",
       " frozenset({'Age_Range_>30 <=36',\n",
       "            'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely'}),\n",
       " frozenset({'Age_Range_>30 <=36', 'Attrition_No', 'JobInvolvement_3'}),\n",
       " frozenset({'Age_Range_>30 <=36',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'JobInvolvement_3'}),\n",
       " frozenset({'Age_Range_>30 <=36',\n",
       "            'Attrition_No',\n",
       "            'Department_Research & Development'}),\n",
       " frozenset({'Age_Range_>30 <=36',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development'}),\n",
       " frozenset({'Age_Range_>30 <=36',\n",
       "            'Department_Research & Development',\n",
       "            'JobInvolvement_3'}),\n",
       " frozenset({'Age_Range_>30 <=36',\n",
       "            'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development'}),\n",
       " frozenset({'Age_Range_>30 <=36', 'Attrition_No', 'Gender_Male'}),\n",
       " frozenset({'Age_Range_>30 <=36',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'Gender_Male'}),\n",
       " frozenset({'Age_Range_>30 <=36', 'Attrition_No', 'MaritalStatus_Married'}),\n",
       " frozenset({'Attrition_No', 'MaritalStatus_Divorced'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely', 'MaritalStatus_Divorced'}),\n",
       " frozenset({'Department_Research & Development', 'MaritalStatus_Divorced'}),\n",
       " frozenset({'Gender_Male', 'MaritalStatus_Divorced'}),\n",
       " frozenset({'JobInvolvement_3', 'MaritalStatus_Divorced'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'MaritalStatus_Divorced'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'Department_Research & Development',\n",
       "            'MaritalStatus_Divorced'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development',\n",
       "            'MaritalStatus_Divorced'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development',\n",
       "            'MaritalStatus_Divorced'}),\n",
       " frozenset({'Attrition_No', 'Gender_Male', 'MaritalStatus_Divorced'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'Gender_Male',\n",
       "            'MaritalStatus_Divorced'}),\n",
       " frozenset({'Attrition_No', 'JobInvolvement_3', 'MaritalStatus_Divorced'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'JobInvolvement_3',\n",
       "            'MaritalStatus_Divorced'}),\n",
       " frozenset({'Attrition_No', 'Education_3'}),\n",
       " frozenset({'Education_3', 'Gender_Male'}),\n",
       " frozenset({'Education_3', 'JobInvolvement_3'}),\n",
       " frozenset({'EducationField_Life Sciences', 'Education_3'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely', 'Education_3'}),\n",
       " frozenset({'Department_Research & Development', 'Education_3'}),\n",
       " frozenset({'Education_3', 'MaritalStatus_Married'}),\n",
       " frozenset({'Attrition_No', 'Education_3', 'Gender_Male'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely', 'Education_3', 'Gender_Male'}),\n",
       " frozenset({'Department_Research & Development',\n",
       "            'Education_3',\n",
       "            'Gender_Male'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'Education_3',\n",
       "            'Gender_Male'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'Department_Research & Development',\n",
       "            'Education_3',\n",
       "            'Gender_Male'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development',\n",
       "            'Education_3',\n",
       "            'Gender_Male'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development',\n",
       "            'Education_3',\n",
       "            'Gender_Male'}),\n",
       " frozenset({'Attrition_No', 'Education_3', 'JobInvolvement_3'}),\n",
       " frozenset({'Education_3', 'Gender_Male', 'JobInvolvement_3'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'Education_3',\n",
       "            'JobInvolvement_3'}),\n",
       " frozenset({'Department_Research & Development',\n",
       "            'Education_3',\n",
       "            'JobInvolvement_3'}),\n",
       " frozenset({'Attrition_No', 'Education_3', 'Gender_Male', 'JobInvolvement_3'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'Education_3',\n",
       "            'Gender_Male',\n",
       "            'JobInvolvement_3'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'Education_3',\n",
       "            'JobInvolvement_3'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'Department_Research & Development',\n",
       "            'Education_3',\n",
       "            'JobInvolvement_3'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development',\n",
       "            'Education_3',\n",
       "            'JobInvolvement_3'}),\n",
       " frozenset({'Attrition_No', 'EducationField_Life Sciences', 'Education_3'}),\n",
       " frozenset({'EducationField_Life Sciences', 'Education_3', 'Gender_Male'}),\n",
       " frozenset({'Department_Research & Development',\n",
       "            'EducationField_Life Sciences',\n",
       "            'Education_3'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'EducationField_Life Sciences',\n",
       "            'Education_3'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'Department_Research & Development',\n",
       "            'EducationField_Life Sciences',\n",
       "            'Education_3'}),\n",
       " frozenset({'Attrition_No', 'BusinessTravel_Travel_Rarely', 'Education_3'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'Department_Research & Development',\n",
       "            'Education_3'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development',\n",
       "            'Education_3'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development',\n",
       "            'Education_3'}),\n",
       " frozenset({'Attrition_No', 'Education_3', 'MaritalStatus_Married'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'Education_3',\n",
       "            'MaritalStatus_Married'}),\n",
       " frozenset({'Education_3', 'Gender_Male', 'MaritalStatus_Married'}),\n",
       " frozenset({'Department_Research & Development',\n",
       "            'Education_3',\n",
       "            'MaritalStatus_Married'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'Education_3',\n",
       "            'MaritalStatus_Married'}),\n",
       " frozenset({'Attrition_No', 'JobLevel_2'}),\n",
       " frozenset({'Gender_Male', 'JobLevel_2'}),\n",
       " frozenset({'JobInvolvement_3', 'JobLevel_2'}),\n",
       " frozenset({'EducationField_Life Sciences', 'JobLevel_2'}),\n",
       " frozenset({'Education_3', 'JobLevel_2'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely', 'JobLevel_2'}),\n",
       " frozenset({'JobLevel_2', 'MaritalStatus_Married'}),\n",
       " frozenset({'Department_Research & Development', 'JobLevel_2'}),\n",
       " frozenset({'Gender_Female', 'JobLevel_2'}),\n",
       " frozenset({'Attrition_No', 'Gender_Male', 'JobLevel_2'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely', 'Gender_Male', 'JobLevel_2'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'Gender_Male',\n",
       "            'JobLevel_2'}),\n",
       " frozenset({'Attrition_No', 'JobInvolvement_3', 'JobLevel_2'}),\n",
       " frozenset({'Gender_Male', 'JobInvolvement_3', 'JobLevel_2'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely', 'JobInvolvement_3', 'JobLevel_2'}),\n",
       " frozenset({'Attrition_No', 'Gender_Male', 'JobInvolvement_3', 'JobLevel_2'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'JobInvolvement_3',\n",
       "            'JobLevel_2'}),\n",
       " frozenset({'Attrition_No', 'EducationField_Life Sciences', 'JobLevel_2'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'EducationField_Life Sciences',\n",
       "            'JobLevel_2'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'EducationField_Life Sciences',\n",
       "            'JobLevel_2'}),\n",
       " frozenset({'Attrition_No', 'Education_3', 'JobLevel_2'}),\n",
       " frozenset({'Attrition_No', 'BusinessTravel_Travel_Rarely', 'JobLevel_2'}),\n",
       " frozenset({'Attrition_No', 'JobLevel_2', 'MaritalStatus_Married'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'JobLevel_2',\n",
       "            'MaritalStatus_Married'}),\n",
       " frozenset({'Gender_Male', 'JobLevel_2', 'MaritalStatus_Married'}),\n",
       " frozenset({'JobInvolvement_3', 'JobLevel_2', 'MaritalStatus_Married'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'JobLevel_2',\n",
       "            'MaritalStatus_Married'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'Department_Research & Development',\n",
       "            'JobLevel_2'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development',\n",
       "            'JobLevel_2'}),\n",
       " frozenset({'Department_Research & Development', 'Gender_Male', 'JobLevel_2'}),\n",
       " frozenset({'Department_Research & Development',\n",
       "            'JobInvolvement_3',\n",
       "            'JobLevel_2'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development',\n",
       "            'JobLevel_2'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'Department_Research & Development',\n",
       "            'Gender_Male',\n",
       "            'JobLevel_2'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'Department_Research & Development',\n",
       "            'JobInvolvement_3',\n",
       "            'JobLevel_2'}),\n",
       " frozenset({'Attrition_No', 'Gender_Female', 'JobLevel_2'}),\n",
       " frozenset({'Attrition_No', 'JobSatisfaction_4'}),\n",
       " frozenset({'JobInvolvement_3', 'JobSatisfaction_4'}),\n",
       " frozenset({'Gender_Male', 'JobSatisfaction_4'}),\n",
       " frozenset({'EducationField_Life Sciences', 'JobSatisfaction_4'}),\n",
       " frozenset({'JobLevel_2', 'JobSatisfaction_4'}),\n",
       " frozenset({'Education_3', 'JobSatisfaction_4'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely', 'JobSatisfaction_4'}),\n",
       " frozenset({'Department_Research & Development', 'JobSatisfaction_4'}),\n",
       " frozenset({'Gender_Female', 'JobSatisfaction_4'}),\n",
       " frozenset({'JobLevel_1', 'JobSatisfaction_4'}),\n",
       " frozenset({'JobSatisfaction_4', 'MaritalStatus_Single'}),\n",
       " frozenset({'JobSatisfaction_4', 'MaritalStatus_Married'}),\n",
       " frozenset({'Attrition_No', 'JobInvolvement_3', 'JobSatisfaction_4'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'JobInvolvement_3',\n",
       "            'JobSatisfaction_4'}),\n",
       " frozenset({'Department_Research & Development',\n",
       "            'JobInvolvement_3',\n",
       "            'JobSatisfaction_4'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'JobInvolvement_3',\n",
       "            'JobSatisfaction_4'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'Department_Research & Development',\n",
       "            'JobInvolvement_3',\n",
       "            'JobSatisfaction_4'}),\n",
       " frozenset({'Attrition_No', 'Gender_Male', 'JobSatisfaction_4'}),\n",
       " frozenset({'Gender_Male', 'JobInvolvement_3', 'JobSatisfaction_4'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'Gender_Male',\n",
       "            'JobSatisfaction_4'}),\n",
       " frozenset({'Department_Research & Development',\n",
       "            'Gender_Male',\n",
       "            'JobSatisfaction_4'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'Gender_Male',\n",
       "            'JobInvolvement_3',\n",
       "            'JobSatisfaction_4'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'Gender_Male',\n",
       "            'JobSatisfaction_4'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'Department_Research & Development',\n",
       "            'Gender_Male',\n",
       "            'JobSatisfaction_4'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'EducationField_Life Sciences',\n",
       "            'JobSatisfaction_4'}),\n",
       " frozenset({'Attrition_No', 'JobLevel_2', 'JobSatisfaction_4'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'JobSatisfaction_4'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'Department_Research & Development',\n",
       "            'JobSatisfaction_4'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development',\n",
       "            'JobSatisfaction_4'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development',\n",
       "            'JobSatisfaction_4'}),\n",
       " frozenset({'Attrition_No', 'Gender_Female', 'JobSatisfaction_4'}),\n",
       " frozenset({'Attrition_No', 'JobSatisfaction_4', 'MaritalStatus_Married'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'JobSatisfaction_4',\n",
       "            'MaritalStatus_Married'}),\n",
       " frozenset({'Attrition_No', 'EnvironmentSatisfaction_3'}),\n",
       " frozenset({'EnvironmentSatisfaction_3', 'Gender_Male'}),\n",
       " frozenset({'EnvironmentSatisfaction_3', 'JobInvolvement_3'}),\n",
       " frozenset({'Education_3', 'EnvironmentSatisfaction_3'}),\n",
       " frozenset({'EducationField_Life Sciences', 'EnvironmentSatisfaction_3'}),\n",
       " frozenset({'EnvironmentSatisfaction_3', 'JobLevel_2'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely', 'EnvironmentSatisfaction_3'}),\n",
       " frozenset({'Department_Research & Development', 'EnvironmentSatisfaction_3'}),\n",
       " frozenset({'EnvironmentSatisfaction_3', 'JobLevel_1'}),\n",
       " frozenset({'EnvironmentSatisfaction_3', 'Gender_Female'}),\n",
       " frozenset({'EnvironmentSatisfaction_3', 'MaritalStatus_Married'}),\n",
       " frozenset({'Attrition_No', 'EnvironmentSatisfaction_3', 'Gender_Male'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'EnvironmentSatisfaction_3',\n",
       "            'Gender_Male'}),\n",
       " frozenset({'Department_Research & Development',\n",
       "            'EnvironmentSatisfaction_3',\n",
       "            'Gender_Male'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'EnvironmentSatisfaction_3',\n",
       "            'Gender_Male'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'Department_Research & Development',\n",
       "            'EnvironmentSatisfaction_3',\n",
       "            'Gender_Male'}),\n",
       " frozenset({'Attrition_No', 'EnvironmentSatisfaction_3', 'JobInvolvement_3'}),\n",
       " frozenset({'EnvironmentSatisfaction_3', 'Gender_Male', 'JobInvolvement_3'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'EnvironmentSatisfaction_3',\n",
       "            'JobInvolvement_3'}),\n",
       " frozenset({'Department_Research & Development',\n",
       "            'EnvironmentSatisfaction_3',\n",
       "            'JobInvolvement_3'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'EnvironmentSatisfaction_3',\n",
       "            'Gender_Male',\n",
       "            'JobInvolvement_3'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'EnvironmentSatisfaction_3',\n",
       "            'JobInvolvement_3'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'Department_Research & Development',\n",
       "            'EnvironmentSatisfaction_3',\n",
       "            'JobInvolvement_3'}),\n",
       " frozenset({'Attrition_No', 'Education_3', 'EnvironmentSatisfaction_3'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'EducationField_Life Sciences',\n",
       "            'EnvironmentSatisfaction_3'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'EnvironmentSatisfaction_3'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'Department_Research & Development',\n",
       "            'EnvironmentSatisfaction_3'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development',\n",
       "            'EnvironmentSatisfaction_3'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development',\n",
       "            'EnvironmentSatisfaction_3'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'EnvironmentSatisfaction_3',\n",
       "            'MaritalStatus_Married'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'EnvironmentSatisfaction_3',\n",
       "            'MaritalStatus_Married'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'EnvironmentSatisfaction_3',\n",
       "            'MaritalStatus_Married'}),\n",
       " frozenset({'Attrition_No', 'Department_Sales'}),\n",
       " frozenset({'Department_Sales', 'Gender_Male'}),\n",
       " frozenset({'Department_Sales', 'JobInvolvement_3'}),\n",
       " frozenset({'Department_Sales', 'JobLevel_2'}),\n",
       " frozenset({'Department_Sales', 'Education_3'}),\n",
       " frozenset({'Department_Sales', 'EducationField_Life Sciences'}),\n",
       " frozenset({'Department_Sales', 'JobSatisfaction_4'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely', 'Department_Sales'}),\n",
       " frozenset({'Department_Sales', 'MaritalStatus_Married'}),\n",
       " frozenset({'Department_Sales', 'Gender_Female'}),\n",
       " frozenset({'Department_Sales', 'MaritalStatus_Single'}),\n",
       " frozenset({'Attrition_No', 'Department_Sales', 'Gender_Male'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Sales',\n",
       "            'Gender_Male'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Sales',\n",
       "            'Gender_Male'}),\n",
       " frozenset({'Attrition_No', 'Department_Sales', 'JobInvolvement_3'}),\n",
       " frozenset({'Department_Sales', 'Gender_Male', 'JobInvolvement_3'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Sales',\n",
       "            'JobInvolvement_3'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'Department_Sales',\n",
       "            'Gender_Male',\n",
       "            'JobInvolvement_3'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Sales',\n",
       "            'JobInvolvement_3'}),\n",
       " frozenset({'Attrition_No', 'Department_Sales', 'JobLevel_2'}),\n",
       " frozenset({'Department_Sales', 'Gender_Male', 'JobLevel_2'}),\n",
       " frozenset({'Department_Sales', 'JobInvolvement_3', 'JobLevel_2'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely', 'Department_Sales', 'JobLevel_2'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Sales',\n",
       "            'JobLevel_2'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Sales'}),\n",
       " frozenset({'Attrition_No', 'Department_Sales', 'MaritalStatus_Married'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Sales',\n",
       "            'MaritalStatus_Married'}),\n",
       " frozenset({'Age_Range_<=30', 'Attrition_No'}),\n",
       " frozenset({'Age_Range_<=30', 'Gender_Male'}),\n",
       " frozenset({'Age_Range_<=30', 'JobInvolvement_3'}),\n",
       " frozenset({'Age_Range_<=30', 'EducationField_Life Sciences'}),\n",
       " frozenset({'Age_Range_<=30', 'Education_3'}),\n",
       " frozenset({'Age_Range_<=30', 'JobLevel_2'}),\n",
       " frozenset({'Age_Range_<=30', 'BusinessTravel_Travel_Rarely'}),\n",
       " frozenset({'Age_Range_<=30', 'MaritalStatus_Married'}),\n",
       " frozenset({'Age_Range_<=30', 'JobLevel_1'}),\n",
       " frozenset({'Age_Range_<=30', 'Department_Research & Development'}),\n",
       " frozenset({'Age_Range_<=30', 'Attrition_No', 'Gender_Male'}),\n",
       " frozenset({'Age_Range_<=30', 'BusinessTravel_Travel_Rarely', 'Gender_Male'}),\n",
       " frozenset({'Age_Range_<=30',\n",
       "            'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'Gender_Male'}),\n",
       " frozenset({'Age_Range_<=30', 'Attrition_No', 'JobInvolvement_3'}),\n",
       " frozenset({'Age_Range_<=30', 'Gender_Male', 'JobInvolvement_3'}),\n",
       " frozenset({'Age_Range_<=30',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'JobInvolvement_3'}),\n",
       " frozenset({'Age_Range_<=30',\n",
       "            'Department_Research & Development',\n",
       "            'JobInvolvement_3'}),\n",
       " frozenset({'Age_Range_<=30',\n",
       "            'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'JobInvolvement_3'}),\n",
       " frozenset({'Age_Range_<=30', 'Attrition_No', 'BusinessTravel_Travel_Rarely'}),\n",
       " frozenset({'Age_Range_<=30', 'Attrition_No', 'MaritalStatus_Married'}),\n",
       " frozenset({'Age_Range_<=30',\n",
       "            'Attrition_No',\n",
       "            'Department_Research & Development'}),\n",
       " frozenset({'Age_Range_<=30',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development'}),\n",
       " frozenset({'Age_Range_<=30',\n",
       "            'Department_Research & Development',\n",
       "            'Gender_Male'}),\n",
       " frozenset({'Age_Range_<=30',\n",
       "            'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development'}),\n",
       " frozenset({'Attrition_No', 'HourlyRate_Range_<=48'}),\n",
       " frozenset({'Gender_Male', 'HourlyRate_Range_<=48'}),\n",
       " frozenset({'HourlyRate_Range_<=48', 'JobInvolvement_3'}),\n",
       " frozenset({'EducationField_Life Sciences', 'HourlyRate_Range_<=48'}),\n",
       " frozenset({'HourlyRate_Range_<=48', 'JobLevel_2'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely', 'HourlyRate_Range_<=48'}),\n",
       " frozenset({'Department_Research & Development', 'HourlyRate_Range_<=48'}),\n",
       " frozenset({'HourlyRate_Range_<=48', 'MaritalStatus_Married'}),\n",
       " frozenset({'Attrition_No', 'Gender_Male', 'HourlyRate_Range_<=48'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'Gender_Male',\n",
       "            'HourlyRate_Range_<=48'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'Gender_Male',\n",
       "            'HourlyRate_Range_<=48'}),\n",
       " frozenset({'Attrition_No', 'HourlyRate_Range_<=48', 'JobInvolvement_3'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'HourlyRate_Range_<=48',\n",
       "            'JobInvolvement_3'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'HourlyRate_Range_<=48'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'Department_Research & Development',\n",
       "            'HourlyRate_Range_<=48'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development',\n",
       "            'HourlyRate_Range_<=48'}),\n",
       " frozenset({'Department_Research & Development',\n",
       "            'Gender_Male',\n",
       "            'HourlyRate_Range_<=48'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development',\n",
       "            'HourlyRate_Range_<=48'}),\n",
       " frozenset({'Attrition_No', 'HourlyRate_Range_<=48', 'MaritalStatus_Married'}),\n",
       " frozenset({'Attrition_No', 'DistanceFromHome_Range_>15'}),\n",
       " frozenset({'DistanceFromHome_Range_>15', 'Gender_Male'}),\n",
       " frozenset({'DistanceFromHome_Range_>15', 'JobInvolvement_3'}),\n",
       " frozenset({'DistanceFromHome_Range_>15', 'EducationField_Life Sciences'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely', 'DistanceFromHome_Range_>15'}),\n",
       " frozenset({'Department_Research & Development',\n",
       "            'DistanceFromHome_Range_>15'}),\n",
       " frozenset({'DistanceFromHome_Range_>15', 'MaritalStatus_Married'}),\n",
       " frozenset({'Attrition_No', 'DistanceFromHome_Range_>15', 'Gender_Male'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'DistanceFromHome_Range_>15',\n",
       "            'Gender_Male'}),\n",
       " frozenset({'Department_Research & Development',\n",
       "            'DistanceFromHome_Range_>15',\n",
       "            'Gender_Male'}),\n",
       " frozenset({'Attrition_No', 'DistanceFromHome_Range_>15', 'JobInvolvement_3'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'DistanceFromHome_Range_>15',\n",
       "            'JobInvolvement_3'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'DistanceFromHome_Range_>15'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'Department_Research & Development',\n",
       "            'DistanceFromHome_Range_>15'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development',\n",
       "            'DistanceFromHome_Range_>15'}),\n",
       " frozenset({'Department_Sales', 'JobRole_Sales Executive'}),\n",
       " frozenset({'Attrition_No', 'Department_Sales', 'JobRole_Sales Executive'}),\n",
       " frozenset({'Department_Sales', 'JobLevel_2', 'JobRole_Sales Executive'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'Department_Sales',\n",
       "            'JobLevel_2',\n",
       "            'JobRole_Sales Executive'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Sales',\n",
       "            'JobLevel_2',\n",
       "            'JobRole_Sales Executive'}),\n",
       " frozenset({'Department_Sales', 'Gender_Male', 'JobRole_Sales Executive'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'Department_Sales',\n",
       "            'Gender_Male',\n",
       "            'JobRole_Sales Executive'}),\n",
       " frozenset({'Department_Sales',\n",
       "            'Gender_Male',\n",
       "            'JobLevel_2',\n",
       "            'JobRole_Sales Executive'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Sales',\n",
       "            'Gender_Male',\n",
       "            'JobRole_Sales Executive'}),\n",
       " frozenset({'Department_Sales',\n",
       "            'JobInvolvement_3',\n",
       "            'JobRole_Sales Executive'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'Department_Sales',\n",
       "            'JobInvolvement_3',\n",
       "            'JobRole_Sales Executive'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Sales',\n",
       "            'JobInvolvement_3',\n",
       "            'JobRole_Sales Executive'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Sales',\n",
       "            'JobRole_Sales Executive'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Sales',\n",
       "            'JobRole_Sales Executive'}),\n",
       " frozenset({'Department_Sales',\n",
       "            'JobRole_Sales Executive',\n",
       "            'MaritalStatus_Married'}),\n",
       " frozenset({'Attrition_No', 'BusinessTravel_Travel_Frequently'}),\n",
       " frozenset({'BusinessTravel_Travel_Frequently', 'Gender_Male'}),\n",
       " frozenset({'BusinessTravel_Travel_Frequently', 'JobInvolvement_3'}),\n",
       " frozenset({'BusinessTravel_Travel_Frequently',\n",
       "            'Department_Research & Development'}),\n",
       " frozenset({'Department_Research & Development', 'JobLevel_1'}),\n",
       " frozenset({'Attrition_No', 'JobLevel_1'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely', 'JobLevel_1'}),\n",
       " frozenset({'Gender_Male', 'JobLevel_1'}),\n",
       " frozenset({'JobInvolvement_3', 'JobLevel_1'}),\n",
       " frozenset({'EducationField_Life Sciences', 'JobLevel_1'}),\n",
       " frozenset({'Gender_Female', 'JobLevel_1'}),\n",
       " frozenset({'Education_3', 'JobLevel_1'}),\n",
       " frozenset({'JobLevel_1', 'MaritalStatus_Married'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'Department_Research & Development',\n",
       "            'JobLevel_1'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development',\n",
       "            'JobLevel_1'}),\n",
       " frozenset({'Attrition_No', 'BusinessTravel_Travel_Rarely', 'JobLevel_1'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development',\n",
       "            'JobLevel_1'}),\n",
       " frozenset({'Department_Research & Development', 'Gender_Male', 'JobLevel_1'}),\n",
       " frozenset({'Attrition_No', 'Gender_Male', 'JobLevel_1'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely', 'Gender_Male', 'JobLevel_1'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'Department_Research & Development',\n",
       "            'Gender_Male',\n",
       "            'JobLevel_1'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development',\n",
       "            'Gender_Male',\n",
       "            'JobLevel_1'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'Gender_Male',\n",
       "            'JobLevel_1'}),\n",
       " frozenset({'Department_Research & Development',\n",
       "            'JobInvolvement_3',\n",
       "            'JobLevel_1'}),\n",
       " frozenset({'Attrition_No', 'JobInvolvement_3', 'JobLevel_1'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely', 'JobInvolvement_3', 'JobLevel_1'}),\n",
       " frozenset({'Gender_Male', 'JobInvolvement_3', 'JobLevel_1'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'Department_Research & Development',\n",
       "            'JobInvolvement_3',\n",
       "            'JobLevel_1'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development',\n",
       "            'JobInvolvement_3',\n",
       "            'JobLevel_1'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'JobInvolvement_3',\n",
       "            'JobLevel_1'}),\n",
       " frozenset({'Attrition_No', 'Gender_Male', 'JobInvolvement_3', 'JobLevel_1'}),\n",
       " frozenset({'Department_Research & Development',\n",
       "            'EducationField_Life Sciences',\n",
       "            'JobLevel_1'}),\n",
       " frozenset({'Attrition_No', 'EducationField_Life Sciences', 'JobLevel_1'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'EducationField_Life Sciences',\n",
       "            'JobLevel_1'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'Department_Research & Development',\n",
       "            'EducationField_Life Sciences',\n",
       "            'JobLevel_1'}),\n",
       " frozenset({'Department_Research & Development',\n",
       "            'Gender_Female',\n",
       "            'JobLevel_1'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely', 'Gender_Female', 'JobLevel_1'}),\n",
       " frozenset({'Attrition_No', 'Gender_Female', 'JobLevel_1'}),\n",
       " frozenset({'Department_Research & Development', 'Education_3', 'JobLevel_1'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely', 'Education_3', 'JobLevel_1'}),\n",
       " frozenset({'Attrition_No', 'Education_3', 'JobLevel_1'}),\n",
       " frozenset({'Attrition_No', 'JobLevel_1', 'MaritalStatus_Married'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'JobLevel_1',\n",
       "            'MaritalStatus_Married'}),\n",
       " frozenset({'Department_Research & Development',\n",
       "            'JobLevel_1',\n",
       "            'MaritalStatus_Married'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'Department_Research & Development',\n",
       "            'JobLevel_1',\n",
       "            'MaritalStatus_Married'}),\n",
       " frozenset({'Attrition_No', 'DistanceFromHome_Range_>2 <=5'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely', 'DistanceFromHome_Range_>2 <=5'}),\n",
       " frozenset({'Department_Research & Development',\n",
       "            'DistanceFromHome_Range_>2 <=5'}),\n",
       " frozenset({'DistanceFromHome_Range_>2 <=5', 'Gender_Male'}),\n",
       " frozenset({'DistanceFromHome_Range_>2 <=5', 'JobInvolvement_3'}),\n",
       " frozenset({'DistanceFromHome_Range_>2 <=5', 'Education_3'}),\n",
       " frozenset({'DistanceFromHome_Range_>2 <=5', 'MaritalStatus_Married'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'DistanceFromHome_Range_>2 <=5'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'Department_Research & Development',\n",
       "            'DistanceFromHome_Range_>2 <=5'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development',\n",
       "            'DistanceFromHome_Range_>2 <=5'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development',\n",
       "            'DistanceFromHome_Range_>2 <=5'}),\n",
       " frozenset({'Attrition_No', 'DistanceFromHome_Range_>2 <=5', 'Gender_Male'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'DistanceFromHome_Range_>2 <=5',\n",
       "            'Gender_Male'}),\n",
       " frozenset({'Department_Research & Development',\n",
       "            'DistanceFromHome_Range_>2 <=5',\n",
       "            'Gender_Male'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'DistanceFromHome_Range_>2 <=5',\n",
       "            'JobInvolvement_3'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'DistanceFromHome_Range_>2 <=5',\n",
       "            'JobInvolvement_3'}),\n",
       " frozenset({'Department_Research & Development',\n",
       "            'JobRole_Research Scientist'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'Department_Research & Development',\n",
       "            'JobRole_Research Scientist'}),\n",
       " frozenset({'Department_Research & Development',\n",
       "            'JobLevel_1',\n",
       "            'JobRole_Research Scientist'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'Department_Research & Development',\n",
       "            'JobLevel_1',\n",
       "            'JobRole_Research Scientist'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development',\n",
       "            'JobRole_Research Scientist'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development',\n",
       "            'JobRole_Research Scientist'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development',\n",
       "            'JobLevel_1',\n",
       "            'JobRole_Research Scientist'}),\n",
       " frozenset({'Department_Research & Development',\n",
       "            'Gender_Male',\n",
       "            'JobRole_Research Scientist'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'Department_Research & Development',\n",
       "            'Gender_Male',\n",
       "            'JobRole_Research Scientist'}),\n",
       " frozenset({'Department_Research & Development',\n",
       "            'JobInvolvement_3',\n",
       "            'JobRole_Research Scientist'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'Department_Research & Development',\n",
       "            'JobInvolvement_3',\n",
       "            'JobRole_Research Scientist'}),\n",
       " frozenset({'Attrition_No', 'JobSatisfaction_2'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely', 'JobSatisfaction_2'}),\n",
       " frozenset({'Gender_Male', 'JobSatisfaction_2'}),\n",
       " frozenset({'Department_Research & Development', 'JobSatisfaction_2'}),\n",
       " frozenset({'JobInvolvement_3', 'JobSatisfaction_2'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'JobSatisfaction_2'}),\n",
       " frozenset({'Attrition_No', 'Gender_Male', 'JobSatisfaction_2'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'Department_Research & Development',\n",
       "            'JobSatisfaction_2'}),\n",
       " frozenset({'Attrition_No', 'Gender_Female'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely', 'Gender_Female'}),\n",
       " frozenset({'Department_Research & Development', 'Gender_Female'}),\n",
       " frozenset({'Gender_Female', 'JobInvolvement_3'}),\n",
       " frozenset({'EducationField_Life Sciences', 'Gender_Female'}),\n",
       " frozenset({'Education_3', 'Gender_Female'}),\n",
       " frozenset({'Gender_Female', 'MaritalStatus_Married'}),\n",
       " frozenset({'Attrition_No', 'BusinessTravel_Travel_Rarely', 'Gender_Female'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'Department_Research & Development',\n",
       "            'Gender_Female'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development',\n",
       "            'Gender_Female'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development',\n",
       "            'Gender_Female'}),\n",
       " frozenset({'Attrition_No', 'Gender_Female', 'JobInvolvement_3'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'Gender_Female',\n",
       "            'JobInvolvement_3'}),\n",
       " frozenset({'Department_Research & Development',\n",
       "            'Gender_Female',\n",
       "            'JobInvolvement_3'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'Gender_Female',\n",
       "            'JobInvolvement_3'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'Department_Research & Development',\n",
       "            'Gender_Female',\n",
       "            'JobInvolvement_3'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development',\n",
       "            'Gender_Female',\n",
       "            'JobInvolvement_3'}),\n",
       " frozenset({'Attrition_No', 'EducationField_Life Sciences', 'Gender_Female'}),\n",
       " frozenset({'Department_Research & Development',\n",
       "            'EducationField_Life Sciences',\n",
       "            'Gender_Female'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'EducationField_Life Sciences',\n",
       "            'Gender_Female'}),\n",
       " frozenset({'Attrition_No', 'Education_3', 'Gender_Female'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely', 'Education_3', 'Gender_Female'}),\n",
       " frozenset({'Attrition_No', 'Gender_Female', 'MaritalStatus_Married'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'Gender_Female',\n",
       "            'MaritalStatus_Married'}),\n",
       " frozenset({'Gender_Female', 'JobInvolvement_3', 'MaritalStatus_Married'}),\n",
       " frozenset({'Department_Research & Development',\n",
       "            'Gender_Female',\n",
       "            'MaritalStatus_Married'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'Gender_Female',\n",
       "            'MaritalStatus_Married'}),\n",
       " frozenset({'Attrition_No', 'HourlyRate_Range_>60 <=80'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely', 'HourlyRate_Range_>60 <=80'}),\n",
       " frozenset({'Department_Research & Development', 'HourlyRate_Range_>60 <=80'}),\n",
       " frozenset({'HourlyRate_Range_>60 <=80', 'JobInvolvement_3'}),\n",
       " frozenset({'EducationField_Life Sciences', 'HourlyRate_Range_>60 <=80'}),\n",
       " frozenset({'Gender_Male', 'HourlyRate_Range_>60 <=80'}),\n",
       " frozenset({'HourlyRate_Range_>60 <=80', 'MaritalStatus_Married'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'HourlyRate_Range_>60 <=80'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'Department_Research & Development',\n",
       "            'HourlyRate_Range_>60 <=80'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development',\n",
       "            'HourlyRate_Range_>60 <=80'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development',\n",
       "            'HourlyRate_Range_>60 <=80'}),\n",
       " frozenset({'Attrition_No', 'HourlyRate_Range_>60 <=80', 'JobInvolvement_3'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'HourlyRate_Range_>60 <=80',\n",
       "            'JobInvolvement_3'}),\n",
       " frozenset({'Attrition_No', 'Gender_Male', 'HourlyRate_Range_>60 <=80'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'Gender_Male',\n",
       "            'HourlyRate_Range_>60 <=80'}),\n",
       " frozenset({'Attrition_No', 'Education_2'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely', 'Education_2'}),\n",
       " frozenset({'Department_Research & Development', 'Education_2'}),\n",
       " frozenset({'Education_2', 'JobInvolvement_3'}),\n",
       " frozenset({'Education_2', 'Gender_Male'}),\n",
       " frozenset({'Attrition_No', 'BusinessTravel_Travel_Rarely', 'Education_2'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'Department_Research & Development',\n",
       "            'Education_2'}),\n",
       " frozenset({'Attrition_No', 'Education_2', 'Gender_Male'}),\n",
       " frozenset({'Department_Research & Development',\n",
       "            'JobRole_Laboratory Technician'}),\n",
       " frozenset({'Department_Research & Development',\n",
       "            'JobLevel_1',\n",
       "            'JobRole_Laboratory Technician'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'Department_Research & Development',\n",
       "            'JobRole_Laboratory Technician'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development',\n",
       "            'JobRole_Laboratory Technician'}),\n",
       " frozenset({'Department_Research & Development',\n",
       "            'JobInvolvement_3',\n",
       "            'JobRole_Laboratory Technician'}),\n",
       " frozenset({'Department_Research & Development',\n",
       "            'Gender_Male',\n",
       "            'JobRole_Laboratory Technician'}),\n",
       " frozenset({'Attrition_No', 'EnvironmentSatisfaction_4'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely', 'EnvironmentSatisfaction_4'}),\n",
       " frozenset({'Department_Research & Development', 'EnvironmentSatisfaction_4'}),\n",
       " frozenset({'EnvironmentSatisfaction_4', 'Gender_Male'}),\n",
       " frozenset({'EducationField_Life Sciences', 'EnvironmentSatisfaction_4'}),\n",
       " frozenset({'Education_3', 'EnvironmentSatisfaction_4'}),\n",
       " frozenset({'EnvironmentSatisfaction_4', 'JobLevel_1'}),\n",
       " frozenset({'EnvironmentSatisfaction_4', 'JobInvolvement_3'}),\n",
       " frozenset({'EnvironmentSatisfaction_4', 'MaritalStatus_Married'}),\n",
       " frozenset({'EnvironmentSatisfaction_4', 'JobLevel_2'}),\n",
       " frozenset({'EnvironmentSatisfaction_4', 'Gender_Female'}),\n",
       " frozenset({'EnvironmentSatisfaction_4', 'MaritalStatus_Single'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'EnvironmentSatisfaction_4'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'Department_Research & Development',\n",
       "            'EnvironmentSatisfaction_4'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development',\n",
       "            'EnvironmentSatisfaction_4'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development',\n",
       "            'EnvironmentSatisfaction_4'}),\n",
       " frozenset({'Attrition_No', 'EnvironmentSatisfaction_4', 'Gender_Male'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'EnvironmentSatisfaction_4',\n",
       "            'Gender_Male'}),\n",
       " frozenset({'Department_Research & Development',\n",
       "            'EnvironmentSatisfaction_4',\n",
       "            'Gender_Male'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'EnvironmentSatisfaction_4',\n",
       "            'Gender_Male'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'Department_Research & Development',\n",
       "            'EnvironmentSatisfaction_4',\n",
       "            'Gender_Male'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'EducationField_Life Sciences',\n",
       "            'EnvironmentSatisfaction_4'}),\n",
       " frozenset({'Attrition_No', 'Education_3', 'EnvironmentSatisfaction_4'}),\n",
       " frozenset({'Attrition_No', 'EnvironmentSatisfaction_4', 'JobInvolvement_3'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'EnvironmentSatisfaction_4',\n",
       "            'JobInvolvement_3'}),\n",
       " frozenset({'EnvironmentSatisfaction_4', 'Gender_Male', 'JobInvolvement_3'}),\n",
       " frozenset({'Department_Research & Development',\n",
       "            'EnvironmentSatisfaction_4',\n",
       "            'JobInvolvement_3'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'EnvironmentSatisfaction_4',\n",
       "            'JobInvolvement_3'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'EnvironmentSatisfaction_4',\n",
       "            'Gender_Male',\n",
       "            'JobInvolvement_3'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'Department_Research & Development',\n",
       "            'EnvironmentSatisfaction_4',\n",
       "            'JobInvolvement_3'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'EnvironmentSatisfaction_4',\n",
       "            'MaritalStatus_Married'}),\n",
       " frozenset({'Attrition_No', 'EnvironmentSatisfaction_4', 'JobLevel_2'}),\n",
       " frozenset({'Attrition_No', 'MaritalStatus_Married'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely', 'MaritalStatus_Married'}),\n",
       " frozenset({'Gender_Male', 'MaritalStatus_Married'}),\n",
       " frozenset({'JobInvolvement_3', 'MaritalStatus_Married'}),\n",
       " frozenset({'Department_Research & Development', 'MaritalStatus_Married'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'MaritalStatus_Married'}),\n",
       " frozenset({'Attrition_No', 'Gender_Male', 'MaritalStatus_Married'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'Gender_Male',\n",
       "            'MaritalStatus_Married'}),\n",
       " frozenset({'Department_Research & Development',\n",
       "            'Gender_Male',\n",
       "            'MaritalStatus_Married'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'Gender_Male',\n",
       "            'MaritalStatus_Married'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'Department_Research & Development',\n",
       "            'Gender_Male',\n",
       "            'MaritalStatus_Married'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development',\n",
       "            'Gender_Male',\n",
       "            'MaritalStatus_Married'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development',\n",
       "            'Gender_Male',\n",
       "            'MaritalStatus_Married'}),\n",
       " frozenset({'Attrition_No', 'JobInvolvement_3', 'MaritalStatus_Married'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'JobInvolvement_3',\n",
       "            'MaritalStatus_Married'}),\n",
       " frozenset({'Gender_Male', 'JobInvolvement_3', 'MaritalStatus_Married'}),\n",
       " frozenset({'Department_Research & Development',\n",
       "            'JobInvolvement_3',\n",
       "            'MaritalStatus_Married'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'JobInvolvement_3',\n",
       "            'MaritalStatus_Married'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'Gender_Male',\n",
       "            'JobInvolvement_3',\n",
       "            'MaritalStatus_Married'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'Gender_Male',\n",
       "            'JobInvolvement_3',\n",
       "            'MaritalStatus_Married'}),\n",
       " frozenset({'Department_Research & Development',\n",
       "            'Gender_Male',\n",
       "            'JobInvolvement_3',\n",
       "            'MaritalStatus_Married'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'Gender_Male',\n",
       "            'JobInvolvement_3',\n",
       "            'MaritalStatus_Married'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'Department_Research & Development',\n",
       "            'JobInvolvement_3',\n",
       "            'MaritalStatus_Married'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development',\n",
       "            'JobInvolvement_3',\n",
       "            'MaritalStatus_Married'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development',\n",
       "            'JobInvolvement_3',\n",
       "            'MaritalStatus_Married'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'Department_Research & Development',\n",
       "            'MaritalStatus_Married'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development',\n",
       "            'MaritalStatus_Married'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development',\n",
       "            'MaritalStatus_Married'}),\n",
       " frozenset({'Age_Range_>36 <=43', 'Attrition_No'}),\n",
       " frozenset({'Age_Range_>36 <=43', 'BusinessTravel_Travel_Rarely'}),\n",
       " frozenset({'Age_Range_>36 <=43', 'JobInvolvement_3'}),\n",
       " frozenset({'Age_Range_>36 <=43', 'EducationField_Life Sciences'}),\n",
       " frozenset({'Age_Range_>36 <=43', 'Gender_Male'}),\n",
       " frozenset({'Age_Range_>36 <=43', 'MaritalStatus_Married'}),\n",
       " frozenset({'Age_Range_>36 <=43', 'Department_Research & Development'}),\n",
       " frozenset({'Age_Range_>36 <=43',\n",
       "            'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely'}),\n",
       " frozenset({'Age_Range_>36 <=43', 'Attrition_No', 'JobInvolvement_3'}),\n",
       " frozenset({'Age_Range_>36 <=43',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'JobInvolvement_3'}),\n",
       " frozenset({'Age_Range_>36 <=43', 'Attrition_No', 'Gender_Male'}),\n",
       " frozenset({'Age_Range_>36 <=43',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'Gender_Male'}),\n",
       " frozenset({'Age_Range_>36 <=43',\n",
       "            'Department_Research & Development',\n",
       "            'Gender_Male'}),\n",
       " frozenset({'Age_Range_>36 <=43',\n",
       "            'Attrition_No',\n",
       "            'Department_Research & Development'}),\n",
       " frozenset({'Age_Range_>36 <=43',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely', 'EnvironmentSatisfaction_1'}),\n",
       " frozenset({'Attrition_No', 'EnvironmentSatisfaction_1'}),\n",
       " frozenset({'EnvironmentSatisfaction_1', 'JobInvolvement_3'}),\n",
       " frozenset({'EnvironmentSatisfaction_1', 'Gender_Male'}),\n",
       " frozenset({'Department_Research & Development', 'EnvironmentSatisfaction_1'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'EnvironmentSatisfaction_1'}),\n",
       " frozenset({'Attrition_No', 'JobSatisfaction_1'}),\n",
       " frozenset({'Department_Research & Development', 'JobSatisfaction_1'}),\n",
       " frozenset({'JobInvolvement_3', 'JobSatisfaction_1'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely', 'JobSatisfaction_1'}),\n",
       " frozenset({'Gender_Male', 'JobSatisfaction_1'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'Department_Research & Development',\n",
       "            'JobSatisfaction_1'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'JobSatisfaction_1'}),\n",
       " frozenset({'Attrition_No', 'Gender_Male', 'JobSatisfaction_1'}),\n",
       " frozenset({'Attrition_Yes', 'BusinessTravel_Travel_Rarely'}),\n",
       " frozenset({'Attrition_Yes', 'Gender_Male'}),\n",
       " frozenset({'Attrition_No', 'JobInvolvement_2'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely', 'JobInvolvement_2'}),\n",
       " frozenset({'Department_Research & Development', 'JobInvolvement_2'}),\n",
       " frozenset({'Gender_Male', 'JobInvolvement_2'}),\n",
       " frozenset({'EducationField_Life Sciences', 'JobInvolvement_2'}),\n",
       " frozenset({'JobInvolvement_2', 'MaritalStatus_Married'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'JobInvolvement_2'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'Department_Research & Development',\n",
       "            'JobInvolvement_2'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development',\n",
       "            'JobInvolvement_2'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development',\n",
       "            'JobInvolvement_2'}),\n",
       " frozenset({'Attrition_No', 'Gender_Male', 'JobInvolvement_2'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'Gender_Male',\n",
       "            'JobInvolvement_2'}),\n",
       " frozenset({'Department_Research & Development',\n",
       "            'Gender_Male',\n",
       "            'JobInvolvement_2'}),\n",
       " frozenset({'Attrition_No', 'JobInvolvement_2', 'MaritalStatus_Married'}),\n",
       " frozenset({'Department_Sales', 'EducationField_Marketing'})]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Find Closed frequent itemset\n",
    "start_time = time.time()\n",
    "cl = []\n",
    "for index, row in frequent_itemsets_fp.iterrows():\n",
    "    isclose = True\n",
    "    cli = row['itemsets']\n",
    "    cls = row['support']\n",
    "    checkset = fredic[cls]\n",
    "    for i in checkset:\n",
    "        if (cli!=i):\n",
    "            if(frozenset.issubset(cli,i)):\n",
    "                isclose = False\n",
    "                break\n",
    "    \n",
    "    if(isclose):\n",
    "        cl.append(row['itemsets'])\n",
    "cl"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Find Max frequent itemset\n",
    "start_time = time.time()\n",
    "ml = []\n",
    "for index, row in frequent_itemsets_fp.iterrows():\n",
    "    isclose = True\n",
    "    cli = row['itemsets']\n",
    "    cls = row['support']\n",
    "    checkset = fredic2[cls]\n",
    "    for i in checkset:\n",
    "        if (cli!=i):\n",
    "            if(frozenset.issubset(cli,i)):\n",
    "                isclose = False\n",
    "                break\n",
    "    \n",
    "    if(isclose):\n",
    "        ml.append(row['itemsets'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[frozenset({'Education_1'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development',\n",
       "            'Gender_Male',\n",
       "            'JobInvolvement_3'}),\n",
       " frozenset({'Gender_Female', 'MaritalStatus_Single'}),\n",
       " frozenset({'JobLevel_2', 'MaritalStatus_Single'}),\n",
       " frozenset({'Education_3', 'MaritalStatus_Single'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development',\n",
       "            'MaritalStatus_Single'}),\n",
       " frozenset({'Department_Research & Development',\n",
       "            'Gender_Male',\n",
       "            'MaritalStatus_Single'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'Gender_Male',\n",
       "            'MaritalStatus_Single'}),\n",
       " frozenset({'Gender_Male', 'JobInvolvement_3', 'MaritalStatus_Single'}),\n",
       " frozenset({'Department_Research & Development',\n",
       "            'JobInvolvement_3',\n",
       "            'MaritalStatus_Single'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'JobInvolvement_3',\n",
       "            'MaritalStatus_Single'}),\n",
       " frozenset({'Department_Research & Development',\n",
       "            'JobLevel_1',\n",
       "            'MaritalStatus_Single'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'EducationField_Life Sciences',\n",
       "            'MaritalStatus_Single'}),\n",
       " frozenset({'EducationField_Medical', 'MaritalStatus_Single'}),\n",
       " frozenset({'EducationField_Medical', 'JobLevel_2'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development',\n",
       "            'EducationField_Medical'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'Department_Research & Development',\n",
       "            'EducationField_Medical',\n",
       "            'Gender_Male'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'EducationField_Medical',\n",
       "            'Gender_Male'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development',\n",
       "            'EducationField_Medical',\n",
       "            'Gender_Male'}),\n",
       " frozenset({'EducationField_Medical', 'Gender_Male', 'JobInvolvement_3'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'Department_Research & Development',\n",
       "            'EducationField_Medical',\n",
       "            'JobInvolvement_3'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'EducationField_Medical',\n",
       "            'JobInvolvement_3'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development',\n",
       "            'EducationField_Medical',\n",
       "            'JobInvolvement_3'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'EducationField_Medical',\n",
       "            'MaritalStatus_Married'}),\n",
       " frozenset({'Department_Research & Development',\n",
       "            'EducationField_Medical',\n",
       "            'MaritalStatus_Married'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'EducationField_Medical',\n",
       "            'MaritalStatus_Married'}),\n",
       " frozenset({'Department_Research & Development',\n",
       "            'EducationField_Medical',\n",
       "            'JobLevel_1'}),\n",
       " frozenset({'Attrition_No', 'EducationField_Medical', 'JobLevel_1'}),\n",
       " frozenset({'Attrition_No', 'EducationField_Medical', 'Education_3'}),\n",
       " frozenset({'Department_Research & Development',\n",
       "            'EducationField_Medical',\n",
       "            'Education_3'}),\n",
       " frozenset({'Attrition_No', 'EducationField_Medical', 'Gender_Female'}),\n",
       " frozenset({'Department_Research & Development',\n",
       "            'EducationField_Medical',\n",
       "            'Gender_Female'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'EducationField_Medical',\n",
       "            'Gender_Female'}),\n",
       " frozenset({'EducationField_Medical', 'JobSatisfaction_3'}),\n",
       " frozenset({'JobLevel_1', 'JobSatisfaction_3'}),\n",
       " frozenset({'Education_3', 'JobSatisfaction_3'}),\n",
       " frozenset({'JobLevel_2', 'JobSatisfaction_3'}),\n",
       " frozenset({'Gender_Female', 'JobSatisfaction_3'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development',\n",
       "            'JobSatisfaction_3'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'Gender_Male',\n",
       "            'JobSatisfaction_3'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'Department_Research & Development',\n",
       "            'Gender_Male',\n",
       "            'JobSatisfaction_3'}),\n",
       " frozenset({'Department_Research & Development',\n",
       "            'JobInvolvement_3',\n",
       "            'JobSatisfaction_3'}),\n",
       " frozenset({'Gender_Male', 'JobInvolvement_3', 'JobSatisfaction_3'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'JobInvolvement_3',\n",
       "            'JobSatisfaction_3'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'EducationField_Life Sciences',\n",
       "            'JobSatisfaction_3'}),\n",
       " frozenset({'Attrition_No', 'JobSatisfaction_3', 'MaritalStatus_Married'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'JobSatisfaction_3',\n",
       "            'MaritalStatus_Married'}),\n",
       " frozenset({'Education_4', 'Gender_Female'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development',\n",
       "            'Education_4'}),\n",
       " frozenset({'Department_Research & Development',\n",
       "            'Education_4',\n",
       "            'JobInvolvement_3'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'Education_4',\n",
       "            'JobInvolvement_3'}),\n",
       " frozenset({'Attrition_No', 'Education_4', 'Gender_Male'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely', 'Education_4', 'Gender_Male'}),\n",
       " frozenset({'Education_4', 'Gender_Male', 'JobInvolvement_3'}),\n",
       " frozenset({'Department_Research & Development',\n",
       "            'Education_4',\n",
       "            'Gender_Male'}),\n",
       " frozenset({'Attrition_No', 'EducationField_Life Sciences', 'Education_4'}),\n",
       " frozenset({'Attrition_No', 'Education_4', 'MaritalStatus_Married'}),\n",
       " frozenset({'Attrition_No', 'Education_4', 'JobLevel_2'}),\n",
       " frozenset({'EducationField_Life Sciences', 'HourlyRate_Range_>80'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'HourlyRate_Range_>80'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'Department_Research & Development',\n",
       "            'HourlyRate_Range_>80'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development',\n",
       "            'HourlyRate_Range_>80'}),\n",
       " frozenset({'Attrition_No', 'Gender_Male', 'HourlyRate_Range_>80'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'Gender_Male',\n",
       "            'HourlyRate_Range_>80'}),\n",
       " frozenset({'Department_Research & Development',\n",
       "            'Gender_Male',\n",
       "            'HourlyRate_Range_>80'}),\n",
       " frozenset({'Attrition_No', 'HourlyRate_Range_>80', 'JobInvolvement_3'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'HourlyRate_Range_>80',\n",
       "            'JobInvolvement_3'}),\n",
       " frozenset({'Attrition_No', 'HourlyRate_Range_>80', 'MaritalStatus_Married'}),\n",
       " frozenset({'DistanceFromHome_Range_>6 <=15', 'MaritalStatus_Married'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'DistanceFromHome_Range_>6 <=15'}),\n",
       " frozenset({'Attrition_No', 'DistanceFromHome_Range_>6 <=15', 'Gender_Male'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'DistanceFromHome_Range_>6 <=15',\n",
       "            'Gender_Male'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'DistanceFromHome_Range_>6 <=15',\n",
       "            'JobInvolvement_3'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'DistanceFromHome_Range_>6 <=15',\n",
       "            'JobInvolvement_3'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'Department_Research & Development',\n",
       "            'DistanceFromHome_Range_>6 <=15'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development',\n",
       "            'DistanceFromHome_Range_>6 <=15'}),\n",
       " frozenset({'Age_Range_>43', 'MaritalStatus_Married'}),\n",
       " frozenset({'Age_Range_>43',\n",
       "            'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development'}),\n",
       " frozenset({'Age_Range_>43', 'Attrition_No', 'Gender_Male'}),\n",
       " frozenset({'Age_Range_>43', 'BusinessTravel_Travel_Rarely', 'Gender_Male'}),\n",
       " frozenset({'Age_Range_>43', 'Attrition_No', 'JobInvolvement_3'}),\n",
       " frozenset({'EnvironmentSatisfaction_2', 'JobInvolvement_3'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'EnvironmentSatisfaction_2'}),\n",
       " frozenset({'Attrition_No', 'EnvironmentSatisfaction_2', 'Gender_Male'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'Department_Research & Development',\n",
       "            'EnvironmentSatisfaction_2'}),\n",
       " frozenset({'Attrition_No', 'JobLevel_3'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely', 'JobLevel_3'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development',\n",
       "            'EducationField_Life Sciences',\n",
       "            'Gender_Male'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development',\n",
       "            'EducationField_Life Sciences',\n",
       "            'JobInvolvement_3'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'EducationField_Life Sciences',\n",
       "            'Gender_Male',\n",
       "            'JobInvolvement_3'}),\n",
       " frozenset({'Department_Research & Development',\n",
       "            'EducationField_Life Sciences',\n",
       "            'Gender_Male',\n",
       "            'JobInvolvement_3'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'EducationField_Life Sciences',\n",
       "            'Gender_Male',\n",
       "            'JobInvolvement_3'}),\n",
       " frozenset({'EducationField_Life Sciences',\n",
       "            'JobInvolvement_3',\n",
       "            'MaritalStatus_Married'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'EducationField_Life Sciences',\n",
       "            'MaritalStatus_Married'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'EducationField_Life Sciences',\n",
       "            'Gender_Male',\n",
       "            'MaritalStatus_Married'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'Department_Research & Development',\n",
       "            'EducationField_Life Sciences',\n",
       "            'MaritalStatus_Married'}),\n",
       " frozenset({'DistanceFromHome_Range_<=2', 'Education_3'}),\n",
       " frozenset({'DistanceFromHome_Range_<=2', 'JobLevel_1'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development',\n",
       "            'DistanceFromHome_Range_<=2'}),\n",
       " frozenset({'Department_Research & Development',\n",
       "            'DistanceFromHome_Range_<=2',\n",
       "            'Gender_Male'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'DistanceFromHome_Range_<=2',\n",
       "            'Gender_Male'}),\n",
       " frozenset({'Department_Research & Development',\n",
       "            'DistanceFromHome_Range_<=2',\n",
       "            'JobInvolvement_3'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'DistanceFromHome_Range_<=2',\n",
       "            'JobInvolvement_3'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'DistanceFromHome_Range_<=2',\n",
       "            'EducationField_Life Sciences'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'DistanceFromHome_Range_<=2',\n",
       "            'MaritalStatus_Married'}),\n",
       " frozenset({'Attrition_No', 'DistanceFromHome_Range_<=2', 'Gender_Female'}),\n",
       " frozenset({'EducationField_Life Sciences', 'HourlyRate_Range_>48 <=60'}),\n",
       " frozenset({'Education_3', 'HourlyRate_Range_>48 <=60'}),\n",
       " frozenset({'HourlyRate_Range_>48 <=60', 'MaritalStatus_Married'}),\n",
       " frozenset({'Gender_Female', 'HourlyRate_Range_>48 <=60'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development',\n",
       "            'HourlyRate_Range_>48 <=60'}),\n",
       " frozenset({'Attrition_No', 'Gender_Male', 'HourlyRate_Range_>48 <=60'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'Gender_Male',\n",
       "            'HourlyRate_Range_>48 <=60'}),\n",
       " frozenset({'Attrition_No', 'HourlyRate_Range_>48 <=60', 'JobInvolvement_3'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'HourlyRate_Range_>48 <=60',\n",
       "            'JobInvolvement_3'}),\n",
       " frozenset({'Department_Research & Development',\n",
       "            'HourlyRate_Range_>48 <=60',\n",
       "            'JobInvolvement_3'}),\n",
       " frozenset({'Age_Range_>30 <=36', 'EducationField_Life Sciences'}),\n",
       " frozenset({'Age_Range_>30 <=36', 'Gender_Female'}),\n",
       " frozenset({'Age_Range_>30 <=36', 'Attrition_No', 'JobInvolvement_3'}),\n",
       " frozenset({'Age_Range_>30 <=36',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'JobInvolvement_3'}),\n",
       " frozenset({'Age_Range_>30 <=36',\n",
       "            'Department_Research & Development',\n",
       "            'JobInvolvement_3'}),\n",
       " frozenset({'Age_Range_>30 <=36',\n",
       "            'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development'}),\n",
       " frozenset({'Age_Range_>30 <=36', 'Attrition_No', 'Gender_Male'}),\n",
       " frozenset({'Age_Range_>30 <=36',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'Gender_Male'}),\n",
       " frozenset({'Age_Range_>30 <=36', 'Attrition_No', 'MaritalStatus_Married'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development',\n",
       "            'MaritalStatus_Divorced'}),\n",
       " frozenset({'Attrition_No', 'Gender_Male', 'MaritalStatus_Divorced'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'Gender_Male',\n",
       "            'MaritalStatus_Divorced'}),\n",
       " frozenset({'Attrition_No', 'JobInvolvement_3', 'MaritalStatus_Divorced'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'JobInvolvement_3',\n",
       "            'MaritalStatus_Divorced'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development',\n",
       "            'Education_3',\n",
       "            'Gender_Male'}),\n",
       " frozenset({'Attrition_No', 'Education_3', 'Gender_Male', 'JobInvolvement_3'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'Education_3',\n",
       "            'Gender_Male',\n",
       "            'JobInvolvement_3'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'Education_3',\n",
       "            'JobInvolvement_3'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'Department_Research & Development',\n",
       "            'Education_3',\n",
       "            'JobInvolvement_3'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development',\n",
       "            'Education_3',\n",
       "            'JobInvolvement_3'}),\n",
       " frozenset({'EducationField_Life Sciences', 'Education_3', 'Gender_Male'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'EducationField_Life Sciences',\n",
       "            'Education_3'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'Department_Research & Development',\n",
       "            'EducationField_Life Sciences',\n",
       "            'Education_3'}),\n",
       " frozenset({'Education_3', 'Gender_Male', 'MaritalStatus_Married'}),\n",
       " frozenset({'Department_Research & Development',\n",
       "            'Education_3',\n",
       "            'MaritalStatus_Married'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'Education_3',\n",
       "            'MaritalStatus_Married'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'Gender_Male',\n",
       "            'JobLevel_2'}),\n",
       " frozenset({'Attrition_No', 'Gender_Male', 'JobInvolvement_3', 'JobLevel_2'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'JobInvolvement_3',\n",
       "            'JobLevel_2'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'EducationField_Life Sciences',\n",
       "            'JobLevel_2'}),\n",
       " frozenset({'Attrition_No', 'Education_3', 'JobLevel_2'}),\n",
       " frozenset({'Gender_Male', 'JobLevel_2', 'MaritalStatus_Married'}),\n",
       " frozenset({'JobInvolvement_3', 'JobLevel_2', 'MaritalStatus_Married'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'JobLevel_2',\n",
       "            'MaritalStatus_Married'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development',\n",
       "            'JobLevel_2'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'Department_Research & Development',\n",
       "            'Gender_Male',\n",
       "            'JobLevel_2'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'Department_Research & Development',\n",
       "            'JobInvolvement_3',\n",
       "            'JobLevel_2'}),\n",
       " frozenset({'Attrition_No', 'Gender_Female', 'JobLevel_2'}),\n",
       " frozenset({'Education_3', 'JobSatisfaction_4'}),\n",
       " frozenset({'JobLevel_1', 'JobSatisfaction_4'}),\n",
       " frozenset({'JobSatisfaction_4', 'MaritalStatus_Single'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'JobInvolvement_3',\n",
       "            'JobSatisfaction_4'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'Department_Research & Development',\n",
       "            'JobInvolvement_3',\n",
       "            'JobSatisfaction_4'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'Gender_Male',\n",
       "            'JobInvolvement_3',\n",
       "            'JobSatisfaction_4'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'Gender_Male',\n",
       "            'JobSatisfaction_4'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'Department_Research & Development',\n",
       "            'Gender_Male',\n",
       "            'JobSatisfaction_4'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'EducationField_Life Sciences',\n",
       "            'JobSatisfaction_4'}),\n",
       " frozenset({'Attrition_No', 'JobLevel_2', 'JobSatisfaction_4'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development',\n",
       "            'JobSatisfaction_4'}),\n",
       " frozenset({'Attrition_No', 'Gender_Female', 'JobSatisfaction_4'}),\n",
       " frozenset({'Attrition_No', 'JobSatisfaction_4', 'MaritalStatus_Married'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'JobSatisfaction_4',\n",
       "            'MaritalStatus_Married'}),\n",
       " frozenset({'EnvironmentSatisfaction_3', 'JobLevel_2'}),\n",
       " frozenset({'EnvironmentSatisfaction_3', 'JobLevel_1'}),\n",
       " frozenset({'EnvironmentSatisfaction_3', 'Gender_Female'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'EnvironmentSatisfaction_3',\n",
       "            'Gender_Male'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'Department_Research & Development',\n",
       "            'EnvironmentSatisfaction_3',\n",
       "            'Gender_Male'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'EnvironmentSatisfaction_3',\n",
       "            'Gender_Male',\n",
       "            'JobInvolvement_3'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'EnvironmentSatisfaction_3',\n",
       "            'JobInvolvement_3'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'Department_Research & Development',\n",
       "            'EnvironmentSatisfaction_3',\n",
       "            'JobInvolvement_3'}),\n",
       " frozenset({'Attrition_No', 'Education_3', 'EnvironmentSatisfaction_3'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'EducationField_Life Sciences',\n",
       "            'EnvironmentSatisfaction_3'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development',\n",
       "            'EnvironmentSatisfaction_3'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'EnvironmentSatisfaction_3',\n",
       "            'MaritalStatus_Married'}),\n",
       " frozenset({'Department_Sales', 'Education_3'}),\n",
       " frozenset({'Department_Sales', 'EducationField_Life Sciences'}),\n",
       " frozenset({'Department_Sales', 'JobSatisfaction_4'}),\n",
       " frozenset({'Department_Sales', 'Gender_Female'}),\n",
       " frozenset({'Department_Sales', 'MaritalStatus_Single'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Sales',\n",
       "            'Gender_Male'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'Department_Sales',\n",
       "            'Gender_Male',\n",
       "            'JobInvolvement_3'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Sales',\n",
       "            'JobInvolvement_3'}),\n",
       " frozenset({'Department_Sales', 'JobInvolvement_3', 'JobLevel_2'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Sales',\n",
       "            'JobLevel_2'}),\n",
       " frozenset({'Attrition_No', 'Department_Sales', 'MaritalStatus_Married'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Sales',\n",
       "            'MaritalStatus_Married'}),\n",
       " frozenset({'Age_Range_<=30', 'EducationField_Life Sciences'}),\n",
       " frozenset({'Age_Range_<=30', 'Education_3'}),\n",
       " frozenset({'Age_Range_<=30', 'JobLevel_2'}),\n",
       " frozenset({'Age_Range_<=30', 'JobLevel_1'}),\n",
       " frozenset({'Age_Range_<=30',\n",
       "            'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'Gender_Male'}),\n",
       " frozenset({'Age_Range_<=30', 'Gender_Male', 'JobInvolvement_3'}),\n",
       " frozenset({'Age_Range_<=30',\n",
       "            'Department_Research & Development',\n",
       "            'JobInvolvement_3'}),\n",
       " frozenset({'Age_Range_<=30',\n",
       "            'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'JobInvolvement_3'}),\n",
       " frozenset({'Age_Range_<=30', 'Attrition_No', 'MaritalStatus_Married'}),\n",
       " frozenset({'Age_Range_<=30',\n",
       "            'Department_Research & Development',\n",
       "            'Gender_Male'}),\n",
       " frozenset({'Age_Range_<=30',\n",
       "            'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development'}),\n",
       " frozenset({'EducationField_Life Sciences', 'HourlyRate_Range_<=48'}),\n",
       " frozenset({'HourlyRate_Range_<=48', 'JobLevel_2'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'Gender_Male',\n",
       "            'HourlyRate_Range_<=48'}),\n",
       " frozenset({'Attrition_No', 'HourlyRate_Range_<=48', 'JobInvolvement_3'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'HourlyRate_Range_<=48',\n",
       "            'JobInvolvement_3'}),\n",
       " frozenset({'Department_Research & Development',\n",
       "            'Gender_Male',\n",
       "            'HourlyRate_Range_<=48'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development',\n",
       "            'HourlyRate_Range_<=48'}),\n",
       " frozenset({'Attrition_No', 'HourlyRate_Range_<=48', 'MaritalStatus_Married'}),\n",
       " frozenset({'DistanceFromHome_Range_>15', 'EducationField_Life Sciences'}),\n",
       " frozenset({'DistanceFromHome_Range_>15', 'MaritalStatus_Married'}),\n",
       " frozenset({'Attrition_No', 'DistanceFromHome_Range_>15', 'Gender_Male'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'DistanceFromHome_Range_>15',\n",
       "            'Gender_Male'}),\n",
       " frozenset({'Department_Research & Development',\n",
       "            'DistanceFromHome_Range_>15',\n",
       "            'Gender_Male'}),\n",
       " frozenset({'Attrition_No', 'DistanceFromHome_Range_>15', 'JobInvolvement_3'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'DistanceFromHome_Range_>15',\n",
       "            'JobInvolvement_3'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'DistanceFromHome_Range_>15'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'Department_Research & Development',\n",
       "            'DistanceFromHome_Range_>15'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development',\n",
       "            'DistanceFromHome_Range_>15'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'Department_Sales',\n",
       "            'JobLevel_2',\n",
       "            'JobRole_Sales Executive'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Sales',\n",
       "            'JobLevel_2',\n",
       "            'JobRole_Sales Executive'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'Department_Sales',\n",
       "            'Gender_Male',\n",
       "            'JobRole_Sales Executive'}),\n",
       " frozenset({'Department_Sales',\n",
       "            'Gender_Male',\n",
       "            'JobLevel_2',\n",
       "            'JobRole_Sales Executive'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Sales',\n",
       "            'Gender_Male',\n",
       "            'JobRole_Sales Executive'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'Department_Sales',\n",
       "            'JobInvolvement_3',\n",
       "            'JobRole_Sales Executive'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Sales',\n",
       "            'JobInvolvement_3',\n",
       "            'JobRole_Sales Executive'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Sales',\n",
       "            'JobRole_Sales Executive'}),\n",
       " frozenset({'Department_Sales',\n",
       "            'JobRole_Sales Executive',\n",
       "            'MaritalStatus_Married'}),\n",
       " frozenset({'Attrition_No', 'BusinessTravel_Travel_Frequently'}),\n",
       " frozenset({'BusinessTravel_Travel_Frequently', 'Gender_Male'}),\n",
       " frozenset({'BusinessTravel_Travel_Frequently', 'JobInvolvement_3'}),\n",
       " frozenset({'BusinessTravel_Travel_Frequently',\n",
       "            'Department_Research & Development'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development',\n",
       "            'JobLevel_1'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'Department_Research & Development',\n",
       "            'Gender_Male',\n",
       "            'JobLevel_1'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development',\n",
       "            'Gender_Male',\n",
       "            'JobLevel_1'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'Gender_Male',\n",
       "            'JobLevel_1'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'Department_Research & Development',\n",
       "            'JobInvolvement_3',\n",
       "            'JobLevel_1'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development',\n",
       "            'JobInvolvement_3',\n",
       "            'JobLevel_1'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'JobInvolvement_3',\n",
       "            'JobLevel_1'}),\n",
       " frozenset({'Attrition_No', 'Gender_Male', 'JobInvolvement_3', 'JobLevel_1'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'EducationField_Life Sciences',\n",
       "            'JobLevel_1'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'Department_Research & Development',\n",
       "            'EducationField_Life Sciences',\n",
       "            'JobLevel_1'}),\n",
       " frozenset({'Department_Research & Development',\n",
       "            'Gender_Female',\n",
       "            'JobLevel_1'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely', 'Gender_Female', 'JobLevel_1'}),\n",
       " frozenset({'Attrition_No', 'Gender_Female', 'JobLevel_1'}),\n",
       " frozenset({'Department_Research & Development', 'Education_3', 'JobLevel_1'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely', 'Education_3', 'JobLevel_1'}),\n",
       " frozenset({'Attrition_No', 'Education_3', 'JobLevel_1'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'JobLevel_1',\n",
       "            'MaritalStatus_Married'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'Department_Research & Development',\n",
       "            'JobLevel_1',\n",
       "            'MaritalStatus_Married'}),\n",
       " frozenset({'DistanceFromHome_Range_>2 <=5', 'Education_3'}),\n",
       " frozenset({'DistanceFromHome_Range_>2 <=5', 'MaritalStatus_Married'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development',\n",
       "            'DistanceFromHome_Range_>2 <=5'}),\n",
       " frozenset({'Attrition_No', 'DistanceFromHome_Range_>2 <=5', 'Gender_Male'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'DistanceFromHome_Range_>2 <=5',\n",
       "            'Gender_Male'}),\n",
       " frozenset({'Department_Research & Development',\n",
       "            'DistanceFromHome_Range_>2 <=5',\n",
       "            'Gender_Male'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'DistanceFromHome_Range_>2 <=5',\n",
       "            'JobInvolvement_3'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'DistanceFromHome_Range_>2 <=5',\n",
       "            'JobInvolvement_3'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'Department_Research & Development',\n",
       "            'JobLevel_1',\n",
       "            'JobRole_Research Scientist'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development',\n",
       "            'JobRole_Research Scientist'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development',\n",
       "            'JobLevel_1',\n",
       "            'JobRole_Research Scientist'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'Department_Research & Development',\n",
       "            'Gender_Male',\n",
       "            'JobRole_Research Scientist'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'Department_Research & Development',\n",
       "            'JobInvolvement_3',\n",
       "            'JobRole_Research Scientist'}),\n",
       " frozenset({'JobInvolvement_3', 'JobSatisfaction_2'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'JobSatisfaction_2'}),\n",
       " frozenset({'Attrition_No', 'Gender_Male', 'JobSatisfaction_2'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'Department_Research & Development',\n",
       "            'JobSatisfaction_2'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development',\n",
       "            'Gender_Female'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'Gender_Female',\n",
       "            'JobInvolvement_3'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'Department_Research & Development',\n",
       "            'Gender_Female',\n",
       "            'JobInvolvement_3'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development',\n",
       "            'Gender_Female',\n",
       "            'JobInvolvement_3'}),\n",
       " frozenset({'Attrition_No', 'EducationField_Life Sciences', 'Gender_Female'}),\n",
       " frozenset({'Department_Research & Development',\n",
       "            'EducationField_Life Sciences',\n",
       "            'Gender_Female'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'EducationField_Life Sciences',\n",
       "            'Gender_Female'}),\n",
       " frozenset({'Attrition_No', 'Education_3', 'Gender_Female'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely', 'Education_3', 'Gender_Female'}),\n",
       " frozenset({'Gender_Female', 'JobInvolvement_3', 'MaritalStatus_Married'}),\n",
       " frozenset({'Department_Research & Development',\n",
       "            'Gender_Female',\n",
       "            'MaritalStatus_Married'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'Gender_Female',\n",
       "            'MaritalStatus_Married'}),\n",
       " frozenset({'EducationField_Life Sciences', 'HourlyRate_Range_>60 <=80'}),\n",
       " frozenset({'HourlyRate_Range_>60 <=80', 'MaritalStatus_Married'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development',\n",
       "            'HourlyRate_Range_>60 <=80'}),\n",
       " frozenset({'Attrition_No', 'HourlyRate_Range_>60 <=80', 'JobInvolvement_3'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'HourlyRate_Range_>60 <=80',\n",
       "            'JobInvolvement_3'}),\n",
       " frozenset({'Attrition_No', 'Gender_Male', 'HourlyRate_Range_>60 <=80'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'Gender_Male',\n",
       "            'HourlyRate_Range_>60 <=80'}),\n",
       " frozenset({'Education_2', 'JobInvolvement_3'}),\n",
       " frozenset({'Attrition_No', 'BusinessTravel_Travel_Rarely', 'Education_2'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'Department_Research & Development',\n",
       "            'Education_2'}),\n",
       " frozenset({'Attrition_No', 'Education_2', 'Gender_Male'}),\n",
       " frozenset({'Department_Research & Development',\n",
       "            'JobLevel_1',\n",
       "            'JobRole_Laboratory Technician'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'Department_Research & Development',\n",
       "            'JobRole_Laboratory Technician'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development',\n",
       "            'JobRole_Laboratory Technician'}),\n",
       " frozenset({'Department_Research & Development',\n",
       "            'JobInvolvement_3',\n",
       "            'JobRole_Laboratory Technician'}),\n",
       " frozenset({'Department_Research & Development',\n",
       "            'Gender_Male',\n",
       "            'JobRole_Laboratory Technician'}),\n",
       " frozenset({'EnvironmentSatisfaction_4', 'JobLevel_1'}),\n",
       " frozenset({'EnvironmentSatisfaction_4', 'Gender_Female'}),\n",
       " frozenset({'EnvironmentSatisfaction_4', 'MaritalStatus_Single'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development',\n",
       "            'EnvironmentSatisfaction_4'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'EnvironmentSatisfaction_4',\n",
       "            'Gender_Male'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'Department_Research & Development',\n",
       "            'EnvironmentSatisfaction_4',\n",
       "            'Gender_Male'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'EducationField_Life Sciences',\n",
       "            'EnvironmentSatisfaction_4'}),\n",
       " frozenset({'Attrition_No', 'Education_3', 'EnvironmentSatisfaction_4'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'EnvironmentSatisfaction_4',\n",
       "            'JobInvolvement_3'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'EnvironmentSatisfaction_4',\n",
       "            'Gender_Male',\n",
       "            'JobInvolvement_3'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'Department_Research & Development',\n",
       "            'EnvironmentSatisfaction_4',\n",
       "            'JobInvolvement_3'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'EnvironmentSatisfaction_4',\n",
       "            'MaritalStatus_Married'}),\n",
       " frozenset({'Attrition_No', 'EnvironmentSatisfaction_4', 'JobLevel_2'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development',\n",
       "            'Gender_Male',\n",
       "            'MaritalStatus_Married'}),\n",
       " frozenset({'Department_Research & Development',\n",
       "            'Gender_Male',\n",
       "            'JobInvolvement_3',\n",
       "            'MaritalStatus_Married'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'Gender_Male',\n",
       "            'JobInvolvement_3',\n",
       "            'MaritalStatus_Married'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development',\n",
       "            'JobInvolvement_3',\n",
       "            'MaritalStatus_Married'}),\n",
       " frozenset({'Age_Range_>36 <=43', 'EducationField_Life Sciences'}),\n",
       " frozenset({'Age_Range_>36 <=43', 'MaritalStatus_Married'}),\n",
       " frozenset({'Age_Range_>36 <=43',\n",
       "            'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely'}),\n",
       " frozenset({'Age_Range_>36 <=43', 'Attrition_No', 'JobInvolvement_3'}),\n",
       " frozenset({'Age_Range_>36 <=43',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'JobInvolvement_3'}),\n",
       " frozenset({'Age_Range_>36 <=43', 'Attrition_No', 'Gender_Male'}),\n",
       " frozenset({'Age_Range_>36 <=43',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'Gender_Male'}),\n",
       " frozenset({'Age_Range_>36 <=43',\n",
       "            'Department_Research & Development',\n",
       "            'Gender_Male'}),\n",
       " frozenset({'Age_Range_>36 <=43',\n",
       "            'Attrition_No',\n",
       "            'Department_Research & Development'}),\n",
       " frozenset({'Age_Range_>36 <=43',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development'}),\n",
       " frozenset({'EnvironmentSatisfaction_1', 'JobInvolvement_3'}),\n",
       " frozenset({'EnvironmentSatisfaction_1', 'Gender_Male'}),\n",
       " frozenset({'Department_Research & Development', 'EnvironmentSatisfaction_1'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'EnvironmentSatisfaction_1'}),\n",
       " frozenset({'JobInvolvement_3', 'JobSatisfaction_1'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'Department_Research & Development',\n",
       "            'JobSatisfaction_1'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'JobSatisfaction_1'}),\n",
       " frozenset({'Attrition_No', 'Gender_Male', 'JobSatisfaction_1'}),\n",
       " frozenset({'Attrition_Yes', 'BusinessTravel_Travel_Rarely'}),\n",
       " frozenset({'Attrition_Yes', 'Gender_Male'}),\n",
       " frozenset({'EducationField_Life Sciences', 'JobInvolvement_2'}),\n",
       " frozenset({'Attrition_No',\n",
       "            'BusinessTravel_Travel_Rarely',\n",
       "            'Department_Research & Development',\n",
       "            'JobInvolvement_2'}),\n",
       " frozenset({'Attrition_No', 'Gender_Male', 'JobInvolvement_2'}),\n",
       " frozenset({'BusinessTravel_Travel_Rarely',\n",
       "            'Gender_Male',\n",
       "            'JobInvolvement_2'}),\n",
       " frozenset({'Department_Research & Development',\n",
       "            'Gender_Male',\n",
       "            'JobInvolvement_2'}),\n",
       " frozenset({'Attrition_No', 'JobInvolvement_2', 'MaritalStatus_Married'}),\n",
       " frozenset({'Department_Sales', 'EducationField_Marketing'})]"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ml"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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