This is an imbalanced data set so we will learn to handle such a datset with different methods. We will be applying the following concepts:
- train-test-split
- Handling missing values
- Standard scaler
- Logisitic Regression
- f1score,precisionscore,recall,confusion_matrix
- rocaucscore,rocaucplot
- SMOTE
- Random Forrest classifier