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. 2022 Jul 3;14(13):3264. doi: 10.3390/cancers14133264

Table 3.

AUC and diagnostic accuracy of machine learning models.

Logistic Regression Support Vector Machine
T2 0.87 ± 0.07 (0.4) 0.86 ± 0.05 (0.4)
GdT1 0.93 ± 0.06 (0.9) * 0.89 ± 0.10 (0.7)
T2 + GdT1 0.95 ± 0.07 (0.7) 0.92 ± 0.07 (0.7)

The numbers in each cell represent AUC (mean ± standard deviation) and diagnostic accuracy in parentheses. Abbreviations: area under the curve—AUC; T2-weighted image—T2; post-gadolinium T1-weighted image—GdT1. * Highest accuracy.