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. Author manuscript; available in PMC: 2023 Oct 18.
Published in final edited form as: Mach Learn Med Imaging. 2023 Oct 15;14348:382–392. doi: 10.1007/978-3-031-45673-2_38

Table 3.

Performance for the classification task. We show results for four baselines on GCN [25] for Tadpole and UKBB and DGM [7] for Tadpole with different input feature settings.ACC represents accuracy.

Data Task Method Measure a b c d
Tadpole Disease GCN ACC 77.4±02.41 81.00±06.40 74.50±3.44 82.4±04.14
AUC 79.79±04.75 74.70±04.32 72.11±08.24 83.89±09.06
F1 74.70±05.32 78.4±06.77 65.23±08.46 78.73±07.60
DGM ACC 89.2±05.26 92.92±02.50 79.70±04.22 95.09±03.15
AUC 96.47±02.47 97.16±01.32 90.66±02.64 98.33±02.07
F1 88.60±05.32 91.4±03.32 77.9±6.38 93.36±03.28
UKBB Age DGM ACC 62.10±01.45 63.62±01.23 61.54±01.83 59.45±03.15
AUC 76.57±02.47 76.82±03.03 81.40±04.73 77.23±02.17
F1 46.80±04.83 50.23±02.52 47.31±03.54 47.46±03.19
Sex DGM ACC 89.93±01.3 90.67±01.26 89.04±01.84 87.46±03.32
AUC 95.83±00.76 96.47±00.66 95.02±00.92 93.98±02.43
F1 89.83±01.34 90.65±01.25 89.01±01.75 87.4±03.23