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Table 2 The comparison of different methods based on five-fold cross-validation

From: MSPCD: predicting circRNA-disease associations via integrating multi-source data and hierarchical neural network

Model

AUC

Accuracy

Precision

Recall

F1_score

MSPCD

0.9904

0.9453

0.9246

0.9702

0.9463

DMFCDA

0.9492

0.8954

0.8816

0.9149

0.8978

KATZCPDA

0.9208

0.9103

0.9204

0.8837

0.9016

AE_RF

0.9079

0.9079

0.9689

0.8426

0.9006

GBDTCDA

0.9064

0.8899

0.9004

0.8603

0.8798

IMS-CDA

0.8773

0.8403

0.8771

0.8156

0.8452

AE_DNN

0.7816

0.7055

0.7707

0.6024

0.6649

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BMC Bioinformatics

ISSN: 1471-2105

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