- If you have imbalanced data (e.g., more samples of one class), adjust the class weights or use oversampling.pythonCopy code
class_weights = {0: 1., 1: 50.} model.fit(X_train, y_train, class_weight=class_weights) - Class weights make the model pay more attention to underrepresented classes.
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