LoanDefault-Prediction

Model Accuracies:

• Random Forest with Randomized search CV -- 82.09
• Logistic Regression with Grid search CV -- 83.18
• Support Vector Machine with Grid search CV -- 82.50
• K Nearest Neighbors with Grid search CV -- 77.40
• Bagging with Base estimator as Random Forest -- 84.10
• Bagging with Base estimator as Logistic Regression -- 83.10
• AdaBoost Classifier ----- 83.60
• MultilLayer Perceptron Classifier ----- 83.40

Note: Check out our project report to find out why we used these algorithms.

Technologies:

• Programming Language: Python
• Libraries: Pandas, Scikit-learn, Matplotlib, Seaborn
• Visualization: plotly

Data Source:

https://www.lendingclub.com/info/download-data.action