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Predicting Churn

User: "ssk1974"
ssk1974
New Altair Community Member
Updated by Jocelyn
Hi All,

I am new to rapid miner, need help with this. I have a telecommunication dataset with teh following fields, I am trying to predict Churn customers. The field Churn is teh label with Active or Churned as values in it. I am trying to do a classification model and a cluster model and compare them both. Please advise on how I can do this. Thanks for your time and help.

Customer_ID
Gender
Age
Connect_Date
Dropped_Calls
Tariff
Churn
Handset
Peak_calls_Sum
Peak_mins_Sum
OffPeak_calls_Sum
OffPeak_mins_Sum
Weekend_calls_Sum
Weekend_mins_Sum
International_mins_Sum
Nat_call_cost_Sum
AvePeak
AveOffPeak

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    User: "ScottD"
    ScottD
    New Altair Community Member
    This is a pretty basic binominal classification problem.

    Any of the tutorial videos will walk you through how to do this.
    User: "ssk1974"
    ssk1974
    New Altair Community Member
    OP
    Thanks Scott, Please provide me a link if you have one for this also how can clustering be done on this dataset?

    Thanks for the time and help.
    User: "ScottD"
    ScottD
    New Altair Community Member

    If you have a target like churn behavior then clustering is probably not what you are looking for.

    As I understand it, clustering is for unsupervised learning ie  finding patterns when there isn't a target.

    If you have a target then you need classification algorithms of which there are a ton in RM.

    These videos are good:

    http://rapidminerresources.com/

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