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. 2022 Feb 22;12:802234. doi: 10.3389/fonc.2022.802234

Table 9.

The ROC curve of different models of SVM-classifier in the training cohort.

Classifiers Model AUC 95% CI Sensitivity Specificity
SVM T1WI 0.829 0.702 - 0.918 0.957 0.677
T2WI 0.973 0.888 - 0.998 1.000 0.838
CE-T1WI 0.935 0.834 - 0.984 1.000 0.871
T1WI+T2WI 0.930 0.826 - 0.981 0.957 0.839
T1WI+CE-T1WI 0.885 0.769 - 0.956 0.783 0.871
T2WI+CE-T1WI 0.973 0.888 - 0.998 1.000 0.839
T1WI+T2WI+CE-T1WI 0.938 0.838 - 0.986 0.957 0.903

T1WI, T1-weighted imaging; T2WI, T2-weighted imaging; AUC, area under curve; 95% CI, 95% confidence interval; SVM, support vector machine.