Loan-Status-Prediction

The goal of this project is to develop some ML models to predict whether or not a loan application will be approved using various ML predicting Techniques.

ML Models Used

1. Linear Support Vector Machine
2. Random Forest
3. Neural Network

Test Accuracy

1. Linear Support Vector Machine= Accuracy on test data : 0.834
2. Random Forest= Accuracy on test data : 0.834
3. Neural Network= Accuracy on test data : 0.688