Table 2:

Predictive performance of 2 machine learning models for the identification of medulloblastoma molecular subgroups

MRI Dataset/Targeted SubgroupAUC with Double 10-Fold Cross-ValidationAUC with 3-Dataset Cross-Validation
T1
    SHH0.670.73
    WNT0.560.47
    Group 30.400.54
    Group 40.790.76
T2
    SHH0.700.66
    WNT0.630.72
    Group 30.510.57
    Group 40.540.59
T1 + T2
    SHH0.790.70
    WNT0.450.45
    Group 30.700.39
    Group 40.830.80