spleen feebleness

Comparison experiments show that the new model is able to lead lower error rate than individual classifiers and other ensemble learning algorithms in the Spleen Feebleness diagnosis.
與單個分類器和其他集成方法的對比實騐,証明這種新模型在脾虛証輔助診斷上有更低的錯誤率。