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Table 3 Classification performance on different brain atlases (mean \(\pm\) std)

From: GAT-LI: a graph attention network based learning and interpreting method for functional brain network classification

Atlas Accuracy Sensitivity Specificity F1 AUC
AAL 0.6300 ± 0.0428 0.7188 ± 0.0298 0.5453 ± 0.0988 0.6556 ± 0.0236 0.6763 ± 0.0499
HO 0.6802 ± 0.0269 0.7406 ± 0.0408 0.6226 ± 0.0534 0.6931 ± 0.0248 0.7358 ± 0.0373
  1. The bold means it is the best result for each metric (column of the table)