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You are building a binary classification model using a provided training dataset. The dataset has an imbalance between the two classes. You need to resolve this class imbalance. Which three methods can you use? Each correct answer presents a complete solution.
A
Penalize the classification
B
Resample the dataset using undersampling or oversampling
C
Normalize the training feature set
D
Generate synthetic samples in the minority class
E
Use accuracy as the evaluation metric of the model