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BADM Group B-9 Assignment 2

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  Modeling to predict Churn Submitted By: Group B-9ArpitSinghNishantSinhaPratishSharmanPratiyushRaiRajatpreetChhabraTanviNakra  Modeling Steps ã First we converted all categorical data into binary. ã There were 5 categorical variable: 1.Marital Status 2.Occupational group3.LTV_Group4.Customer Type5.GenderAssumption: In occupational Group, we merged “ Constructionn ” into “Construction” & “Others” into “Other”  Truth Table ã For, Marital status : “Other” as a base ã For, LTV_Group : “Other” as a base ã For Gender : “Female” as a base ã For “Occupational Group” and “Customer Type”, as there were 11 & 9 factor respectively. So, we run CHAID analysis to classify the factor into groups. (For Customer Type, Demos, Ordryi.e, Node 3 as a base & For, Occupational Group, Medical i.e, Node 7 as a base.)  CHAID
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