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Table 3 The AUC, AUPR, Precision, Recall,F1_score and Accuracy of four classifiers

From: SMALF: miRNA-disease associations prediction based on stacked autoencoder and XGBoost

Classifier

AUC

AUPR

Precision

Recall

F1_score

Accuracy

Adaboost

0.9334

0.9301

0.8639

0.8545

0.8590

0.8597

Random Forest

0.9357

0.9334

0.8641

0.8595

0.8617

0.8620

SVM

0.9191

0.9165

0.8445

0.8499

0.8471

0.8465

XGBoost

0.9503

0.9472

0.8808

0.8931

0.8868

0.8860

  1. Bold values represent relatively good performance
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BMC Bioinformatics

ISSN: 1471-2105

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