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Table 3 Performance for evolutionary 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. 72.23 0.26 59.45 74.48 66.96 0.734
Li et al. 77.32 0.40 72.00 78.27 75.14 0.821
PSSM-RT 76.45 0.43 80.23 75.80 78.02 0.845
PDNA-224 Ma et al. 76.88 0.18 50.59 78.87 64.73 0.723
Li et al. 79.18 0.29 67.21 80.09 73.65 0.813
PSSM-RT 80.39 0.31 68.11 81.32 74.72 0.826