Building a Credit Score Predictive Classification Model

Building a Credit Score Predictive Classification Model

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The credit scoring data will be used to build a model and answer questions.

Credit Score Prediction Task

question

The credit score prediction task is a binary classification problem that mainly predicts whether a user will repay a credit loan within 90 days.

An example dataset structure is as follows:

Feature	Variable Type	Value Type	Description
age	Input Feature	integer	Customer age
Debt Ratio	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