Table 12 Comparison of results for different classifiers in lncRNA-miRNA prediction.

From: Predicting noncoding RNA and disease associations using multigraph contrastive learning

 

Accuracy

Precision

Recall

F1-score

AUC

DT

0.9137

0.8922

0.9421

0.9161

0.9486

LR

0.7889

0.8064

0.7625

0.7834

0.9027

MLP

0.8738

0.8753

0.8722

0.8729

0.9451

SVM

0.8478

0.8169

0.8972

0.8549

0.9300

Adaboost

0.9142

0.9061

0.9251

0.9250

0.9637

XGboost

0.9286

0.9198

0.9391

0.9294

0.9687