Table 2.

Results on benchmark dataset for different predictors proposed in the current study.

Predictor	Test method	Se (%)	Sp (%)	Acc (%)	MCC
SVM-Kmera	Jackknife	75.92	86.29	81.59	0.628
SVM-DACCb	Jackknife	76.12	87.99	82.61	0.649
SVM-PseDNCc	Jackknife	72.04	90.69	82.24	0.644
SVM-EL	Jackknife	76.33	88.33	82.89	0.654

^aThe parameters used are k = 6 for SVM-Kmer and C = 2⁷ and γ = 2 for LIBSVM [18].

^bThe parameters used are lag = 6 for SVM-DACC and C = 2³ and γ = 2⁻³ for LIBSVM [18].

^cThe parameters used are λ = 7 and w = 0.3 for SVM-PseDNC and C = 2¹³ and γ = 2³ for LIBSVM [18].