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Feature selection (FS) is an integral part of many machine learning problems in providing a better and time-efficient classification model. In recent times, many new FS algorithms have been proposed which combine well-established algorithms to overcome drawbacks of the constituent algorithms. The general process of combination is to allow them to operate consecutively or simultaneously. These rudimentary...