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. 2019 Nov 21;21(1):347–359. doi: 10.3892/mmr.2019.10841

Table II.

Assessment indexes for the SVM classifier in the GSE62254, GSE26253 and TCGA datasets.

RFS/OS ROC
Datasets C-index Brier score Log rank P-value AUROC Sensitivity Specificity PPV NPV
Training set (GSE62254; n=282) 0.966/0.871 0.0108/0.0255 2.00×10−16/2.00×10−16 0.924 0.896 0.929 0.911 0.918
Validation set 1 (TCGA; n=295) 0.929/0.807 0.0272/0.0283 7.33×10−15/3.87×10−13 0.898 0.844 0.929 0.779 0.871
Validation set 2 (GSE26253; n=432) 0.950 0.0115 2.00×10−16 0.881 0.853 0.914 0.873 0.899

SVM, Support Vector Machine; TCGA, The Cancer Genome Atlas; RFS, recurrence-free survival; OS, overall survival; C-index, Concordance index; ROC, receiver operating characteristic; AUROC, area under the receiver operating characteristic curve; PPV, positive prediction value; NPV, negative prediction value.