Data Balancing in Machine Learning

Imbalanced classification refers to a scenario where the target classes do not have equal representation. For example, in medical diagnosis: Class 0 (Rare Disease): 50 samples Class 1 (Common Case): 5000 samples Why Does Data Imbalance Matter? B...