Wrapshap a high dimension feature selection framework to explore biological systems through machine learning explanations
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Among the existing feature selection (FS) methods in machine learning (ML), those known as wrapper methods often produce the most effective subset of features. However, their high computational cost and tendency to overfit make them impractical for high-dimens... ...
