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. 2022 Jan 21;11:756828. doi: 10.3389/fonc.2021.756828

Table 3.

Summary of the subtype-specific classification performance of the radiomics model.

Molecular subgroups Cohorts AUC BAL_ACC SEN SPE
IDHwt Training 0.8121 (0.7559-0.8682) 0.7782 (0.6989-0.8401) 0.7895 (0.6444-0.8947) 0.7668 (0.6528-0.8912)
Testing 0.6557 (0.5084-0.8029) 0.6806 (0.4394-0.8181) 0.7778 (0.2778-100.00) 0.5833 (0.2292-0.9792)
IDHmt-noncodel Training 0.7384 (0.6739-0.8030) 0.7052 (0.5462-0.7510) 0.8256 (0.5462-0.9186) 0.5847 (0.4699-0.8306)
Testing 0.6830 (0.5478-0.8183) 0.7232 (0.5758-0.8333) 0.7083 (0.5000-0.9177) 0.7381 (0.3810-0.8810)
IDHmt-codel Training 0.7905 (0.7351-0.8459) 0.7595 (0.6989-0.8104) 0.7103 (0.5888-0.8598) 0.8086 (0.6420-0.8827)
Testing 0.7579 (0.6359-0.8799) 0.7500 (0.6212-0.8636) 0.6667 (0.4583-0.9594) 0.8333 (0.4524-0.9762)

BAL_ACC, SEN, and SPE are short for balanced accuracy, sensitivity, and specificity, respectively. The 95% confidence interval for each index is shown.