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Table 6 Comparison of EL_PSSM-RT with base classifiers on novel benchmark datasets

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 SVM 76.81 0.37 79.65 76.51 78.08 0.861
RF 79.44 0.36 71.83 80.29 76.06 0.847
EL_PSSM-RT 80.11 0.43 81.91 79.92 80.92 0.881
PDNA-224 SVM 73.66 0.28 79.68 73.25 76.47 0.839
RF 76.13 0.27 73.91 76.28 75.10 0.831
EL_PSSM-RT 76.74 0.32 81.45 76.42 78.93 0.863