ML Classification Algorithm to predict Approval or Decline of a Loan. The model predicts whether a customer loan application is approved or not based on information they provide.
- Some of the features might be redundant in explaining the variations of the Loan_Status, and after PCA, only six features are found to be explaining 80% of the total variations.
- There is Polynomial features for interactions only to capture any missing information from the input features
- The six features are the one considered in training the algorithm.
- Given the positive value for the Loan_Status is 1 (loan approved), Logostic regression records a higher precision than other algorithmns, i.e, Fewer loans will be approved while actually they should be declined
- It has hte lowest False Negative (FN) value.
