For imbalanced binary classification what should be the value of "scoring" in cross_val_score()
Is scoring is same as accuracy in cross_val_score() .
For binary classification can we used f1_weighted or f1_macro.
By dataset is imbalanced binary class classification. When I used train_test_split it gives 62% accuracy and when I used cdoss_val_score ot gives 90% accuracy. What mistakes I'm making?
