Improved Binary Sailfish Optimizer Based on Adaptive β-Hill Climbing for Feature Selection

Feature selection (FS), an important pre-processing step in the fields of machine learning and data mining, has immense impact on the outcome of the corresponding learning models. Basically, it aims to remove all possible irrelevant as well as redundant features from a feature vector, thereby enhanc...

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