Table 1 The 5-fold cross-validation test results of MHXGMDA on VG-DATA.

From: A method for miRNA-disease association prediction using machine learning decoding of multi-layer heterogeneous graph Transformer encoded representations

Validation set

AUC

PRC

F1-Score

Accuracy

Recall

Specificity

Precision

1

0.9598

0.9551

0.8961

0.8935

0.9150

0.8719

0.8779

2

0.9627

0.9578

0.8994

0.8963

0.9306

0.8622

0.8702

3

0.9586

0.9528

0.8890

0.8860

0.9249

0.8480

0.8558

4

0.9560

0.9499

0.8892

0.8860

0.9198

0.8525

0.8605

5

0.9581

0.9508

0.8881

0.8835

0.9362

0.8320

0.8446

Avg

0.9594 ± 0.0034

0.9539 ± 0.0040

0.8938 ± 0.0056

0.8899 ± 0.0064

0.9256 ± 0.0106

0.8520 ± 0.0200

0.8613 ± 0.0166

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