The feature subsection is an effective way for removing irrelevant data, reducing dimensionality, improving result comprehensibility, and increasing learning accuracy. Feature subsection involves identifying a subset of the most useful features that produces compatible results as the original entire set of features. A feature subsection algorithm may be evaluated from both the efficiency and effectiveness points of view. A feature selection algorithm can be evaluated from both the efficiency and effectiveness points of view. While the efficiency apprehensions the time required to find a subsection of features, the effectiveness is related to the quality of the subsection of features.