The dataset contains data about the details of the various loans taken by The Local development corporations (Borrowers) from The Public authorities. Each row in the dataset represents a loan, which is described by various attributes about the Borrower such as Original Loan Amount, Loan Purpose, and Amount Repaid. It also describes other parameters such as Loan Terms Completed, Interest Rate, etc.
I'm interested in figuring out what features are best for Predicting the Risk for each loan.
The following are the important features that I'll use in this exploration:
The most Risk (unpaid loans), were in the lower sector of loan amount, and also in the lower loan length.