1. A method for performing genetic algorithm-based feature selection, the method comprising: applying multiple data splitting patterns to a learning data set to build multiple classifiers to obtain at least one classification result; integrating the at least one classification result from the multiple classifiers to obtain an integrated accuracy result; and outputting the integrated accuracy result to a genetic algorithm as a fitness value for a candidate feature subset, wherein genetic algorithm-based feature selection is performed.