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Data was classified into group_tenure: 0-12 years. 12-24 years, till > 60 years
Highest probabilities are in the tenure_group range from 0-12 years and 12-24 years
Correlation analysis
99.68%
Age 37 ~ 48: Visa + Mortgage + (Other.Loan) + Vehicle + Checking + Savings + Transactions
Variables in common: Visa + Vehicle + Checkings + Savings + Transactions
Age 49 ~ 60: Visa + (Mortgage) + Other.Loan Home.Equity + Vehicle + Checking + Savings + Transactions
99.75%
84.2%
Correlation analysis
99.1%
Age 13 ~ 24: Visa + Other.Loan + Vehicle + Checking + Savings + Transactions
Age 25 ~ 36: Visa + Mortgage + Other.Loan + Vehicle + Checking + Savings + Transactions
Predict next month's churn based on last month's median Bal. & transaction
99%
200 active
Splited data into four groups based on account tenure, and then visualized balance for each product
Mortgage, Home equity, vehicle, CD, IRA, and Money Market are the products that active members use a lot and people tend to pull their money out when leaving the credit union
SVM
100 active
Logistics regression