Abstract: Aiming at the problem of low model classification accuracy and generalization ability in the single-variable selection algorithm, a hybrid variable selection algorithm is proposed. This ...

Abstract: As datasets continue to expand, the significance of feature selection in identifying influential features for classification becomes increasingly apparent. Meanwhile, the performance of a ...