Skip to content

Latest commit

 

History

History
10 lines (5 loc) · 354 Bytes

README.md

File metadata and controls

10 lines (5 loc) · 354 Bytes

Predicting Bankruptcy for firms

-Used K-Means for feature reduction

-Applied classification algorithms like Random Forest, XGBoost, Light GBM and Stacked Ensembles using evaluation metric as AUC to obtain the probability of each firm.

-Performed SMOTE to upsample the minority class

-Achieved an AUC score of 0.96 on test data