Evolutionary Sparsity Regularisation-based Feature Selection for Binary Classification
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In classification, feature selection is an essential pre-processing step that selects a small subset of features to improve classification performance. Existing feature selection approaches can be divided into three main approaches: wrapper approaches, filter ... ...
