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Assignment-1
Credit scoring problem setup
Problem
Predict whether the customer will repay their credit within 90 days. This is a binary classification problem; we will assign customers into good or bad categories based on our prediction. Write a python program applying Decision Tree algorithm.
Data description
Feature | Variable Type | Value Type | Description |
|---|
age | Input Feature | integer | Customer age |
DebtRatio | Input Feature | real | Total monthly loan payments (loan, alimony, etc.) / Total monthly income percentage |
NumberOfTime30-59DaysPastDueNotWorse | Input Feature | integer | The number of cases when client has overdue 30-59 days (not worse) on other loans during the last 2 years |
NumberOfTimes90DaysLate | Input Feature | integer | Number of cases when customer had 90+dpd overdue on other credits |
NumberOfTime60-89DaysPastDueNotWorse | Input Feature | integer | Number of cased when customer has 60-89dpd (not worse) during the last 2 years |
NumberOfDependents | Input Feature | integer | The number of customer dependents |
SeriousDlqin2yrs | Target Variable | binary:
0 or 1 | Customer hasn’t paid the loan debt within 90 days |