Feature Selection Using Different Transfer Functions for Binary Bat Algorithm

The selection feature is an important and fundamental step in the preprocessing of many classification and machine learning problems. The feature selection (FS) method is used to reduce the amount of data used and to create high-probability of classification accuracy (CA) based on fewer features by ... View More