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Table 4 The comparison of different classifiers based on five-fold cross-validation

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

Classifiers

AUC

Accuracy

Precision

Recall

F1_score

RF

0.8983

0.7828

0.7903

0.7690

0.7794

SVM

0.9697

0.9433

0.9277

0.9617

0.9443

DNN

0.9763

0.9279

0.9326

0.9240

0.9274

MSPCD

0.9904

0.9453

0.9246

0.9702

0.9463