Class Weights vs Resampling

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Class weights always produce higher accuracy than resampling methods Class weights modify the loss function without changing the training data, avoiding synthetic sample artifacts Class weights can only be used with logistic regression, not other algorithms Class weights eliminate the need for any hyperparameter tuning

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