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...
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