Full model selection using Bat algorithm

Full Model Selection (FMS) selects the optimal amalgamation of pre-processing technique, feature subset and learning algorithm that obtains the least classification error for a given dataset. Meta-heuristic optimization algorithms are quite suitable for FMS, since it needs to explore and exploit a l... View More