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Table 2 Prediction performance of PredRBR and other machine learning methods on the RBP170 dataset

From: A boosting approach for prediction of protein-RNA binding residues

Method ACC SN SP Precision F-measure MCC AUC
PredRBR 0.84 ± 0.01 0.85 ± 0.02 0.84 ± 0.01 0.47 ± 0.02 0.60 ± 0.02 0.55 ± 0.02 0.92 ± 0.01
RF 0.82 ± 0.01 0.81 ± 0.01 0.83 ± 0.01 0.44 ± 0.02 0.57 ± 0.02 0.51 ± 0.02 0.90 ± 0.01
SVM 0.81 ± 0.01 0.81 ± 0.02 0.81 ± 0.02 0.42 ± 0.01 0.55 ± 0.01 0.49 ± 0.01 0.89 ± 0.01
Adaboost 0.79 ± 0.01 0.80 ± 0.01 0.79 ± 0.01 0.40 ± 0.01 0.53 ± 0.01 0.46 ± 0.01 0.87 ± 0.01