Feature selection methods for machine learning algorithms such as SVR, including one filter-based method (CFS) and two wrapper-based methods (GA and PSO). The gridsearch is for the grid search for the optimal hyperparemeters of SVR. The SVM_CV is for the k-fold cross-validation of SVR. All the programs are flexible and could be implemented by the users themselves.

FeatureSelection_MachineLearning\CFS.m
................................\GAFS.m
................................\gridSearch.m
................................\PSOFS.m
................................\SVR_CV.m
FeatureSelection_MachineLearning

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