To refine feature selection, the FFS (Forward Feature Selection) procedure based on the result of IFS was used. FFS is a feature selection method based on IFS results which tries every feature in the candidate feature set and adds the feature that achieves the highest prediction accuracy into the already-selected feature set in each goes. Suppose the IFS curve reaches its peak with apex as its x-axis, the initial FFS-selected feature set was constructed as: