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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)
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BMC Bioinformatics

ISSN: 1471-2105

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