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Predicting Churn - Clustering
Contributor II
Hi All,
I have a telecommunication dataset with the following fields, I am trying to predict Churn customers. The field Churn is the 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.
I understand this is a classification problem and does not need to be clustered, but I am trying to see the natural clusters formed. How can I do that. 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
I have a telecommunication dataset with the following fields, I am trying to predict Churn customers. The field Churn is the 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.
I understand this is a classification problem and does not need to be clustered, but I am trying to see the natural clusters formed. How can I do that. 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
0
