Five-fold cross validation results on single SVM model trained with various features.

Name: Five-fold cross validation results on single SVM model trained with various features.
Published: 2017-06-30T00:00:00+08:00

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资源简介：

Sn, sensitivity; Sp, specificity; Acc, accuracy; MCC, Matthews Correlation Coefficient; AUC, area under the curve of ROC.

创建时间：

2017-06-30