Machine Learning, Feature Sele, F1 Score, Classification, Imbalanced Class.
Below I have done a comparative analysis- Pre (baseline model with no transformations) and Post (once few feature transformations has been done). We can clearly see that for positive class, f1 score has improved from .45 to .52. Overall accuracy marginally improved from 94% to 95%, as the classes