Table 2:

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

MRI Dataset/Targeted Subgroup	AUC with Double 10-Fold Cross-Validation	AUC with 3-Dataset Cross-Validation
T1
SHH	0.67	0.73
WNT	0.56	0.47
Group 3	0.40	0.54
Group 4	0.79	0.76
T2
SHH	0.70	0.66
WNT	0.63	0.72
Group 3	0.51	0.57
Group 4	0.54	0.59
T1 + T2
SHH	0.79	0.70
WNT	0.45	0.45
Group 3	0.70	0.39
Group 4	0.83	0.80