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The best models for the classification of 14 class compounds. Seven feature selection methods, including PCA, Chisquare, Gradient, Gainratio, Inforgain, Relief, and SVM-RFE were used to compare their impact on the classifcation accuracy of 14 class compounds based on LibSVM classification algorithm. Different feature sizes (10 to 500) for each feature selection method were applied.
