Dataset 2: Underlying data of the presented results in csv files

The presented tables belong to the research that implemented several widely used optimization algorithms, such as GA, PSO, DE, and ACO, including the proposed method using supervised learning classifiers such as NB, DT, KNN, and QDA to gauge accuracy. The obtained results went through statistical analysis (Friedman test and Holm procedure), to identify the best predictive model with higher performance while selecting the optimal set of features correlated to alternately studied FS procedures.