Performance measures for the different classification models.
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https://figshare.com/articles/dataset/_Performance_measures_for_the_different_classification_models_/1574754
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Corresponding to the classification accuracy of the sparsest median performing penalized SVM (see Fig 1) for each classifier area under the ROC curve (AUC), sensitivity (SN = TPR, true positive rate), specificity (SP = TNR, true negative rate) and balanced accuracy (BAC = (SN+SP)/2) are shown.
创建时间：
2015-10-14
