balanced weight for imbalanced classification model

Balanced Weights For Imbalanced Classification

The balanced weight is one of the widely used methods for imbalanced classification models. It modifies the class weights of the majority and minority classes during the model training process to achieve better model results. Unlike the oversampling and under-sampling methods, the balanced weights methods do not modify the minority and majority class ratio. Instead, …

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