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Table 4 Performance for all features on benchmark datasets by SVM

From: EL_PSSM-RT: DNA-binding residue prediction by integrating ensemble learning with PSSM Relation Transformation

Dataset Methods ACC (%) MCC SN (%) SP (%) ST (%) AUC
PDNA-62 Ma et al. 75.11 0.40 78.22 74.58 76.40 0.837
Li et al. 77.81 0.42 75.50 78.24 76.87 0.851
PSSM-RT 81.50 0.48 76.74 82.34 79.54 0.873
PDNA-224 Ma et al. 76.66 0.27 68.95 77.25 73.10 0.808
Li et al. 78.65 0.29 69.48 79.34 74.41 0.825
PSSM-RT 78.14 0.31 74.92 78.38 76.65 0.843