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Table 2 Five-fold cross validation results on pSer MDDLogo-clustered SVM models.

From: ViralPhos: incorporating a recursively statistical method to predict phosphorylation sites on virus proteins

SVM model Number of positive data Number of negative data Cost value Gamma value Sn Sp Acc MCC
All data 233 233 0.5 0.125 0.76 0.72 0.74 0.48
Subgroup S1 66 66 2 0.125 0.98 0.87 0.93 0.86
Subgroup S2 54 54 8 0.03125 0.94 0.92 0.93 0.87
Subgroup S3 34 34 0.5 0.03125 0.91 0.79 0.85 0.71
Subgroup S4 20 20 2 0.125 0.90 0.80 0.85 0.70
Subgroup S5 15 15 2 0.125 0.87 0.80 0.83 0.66
Subgroup S6 44 44 0.5 0.03125 0.75 0.61 0.68 0.37
Combined performance      0.90 0.82 0.86 0.72