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The performance of the classifier is presented with the applications of blind test validations based on RAdial Velocity Extension, the<jats:italic>Kepler<\/jats:italic>Input Catalog, the Two Micron All Sky Survey Redshift Survey, and the UV-bright Quasar Survey. A new algorithm was applied to constrain the potential extrapolation that could decrease the performance of the machine-learning classifier.<\/jats:p><jats:p><jats:italic>Results.<\/jats:italic>The accuracies of the classifier are 96.5% in the blind test and 97.0% in training cross-validation. The<jats:italic>F<\/jats:italic><jats:sub>1<\/jats:sub>-scores for each class are presented to show the balance between the precision and the recall of the classifier. 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