Classifying whether a person is eligble for loan or not.
Some key factors that I found in this data are:-
- The dataset was small hence the name simple loan classification
- Occupation column had 38 unique values, which in my opinion won't help in the accuracy of the model
- Customers whose loan applications were denied had a lower average income as compared to those who had their loan applications approved
- This goes the same for credit score and age also.
- Young customer's loan applications weren't being approved as frequently as older customers