Metaheuristic-Binary-Optimizer-for-Feature-Selection---BPSO
The binary version of this meta-heuristic optimizer is used for feature selection process through a wrapper based method. The Optimizer is set with a threshold value, provided they consider the random subset of data over each iteration and train the system and finally land up with minimum feature subset with best classification accuracy
