Feature Selection: Pearson Correlation Scatter Plot Visualization Density Plot
Scaling Techniques: Standard Scaler Under sampling
Classification Models used: K Nearest Neighbors Logistic Regression Support Vector Machines Decision Trees Random Forests XGboost LightGBM
Metrics for accuracy of model: ROC-AUC curve Recall Score Classification Report Test Train Split
Contributors: Sumit Kumar Sah Swapnil Jena Rohit Kumar Nayak Shubrato Khumar Shau Siddharth Nanda