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Table 4 Results of SVM models based on AAC, DC and hybrid (AAC+DC) features dataset at three different redundancy percentages using polynomial kernel (t = 1)[d is another parameter used in this kernel and its value is given in parentheses].

From: A Support Vector Machine based method to distinguish proteobacterial proteins from eukaryotic plant proteins

Redundancy(percentage)

Amino acid composition (AAC)

Dipeptide composition (DC)

Hybrid (AAC+DC)

 

Accuracy (%)

MCC

Accuracy (%)

MCC

Accuracy (%)

MCC

30

(d5) 89.63

0.78

(d2) 92.06

0.84

(d6) 91.29

0.82

50

(d4) 88.88

0.77

(d2) 91.98

0.83

(d4) 90.68

0.81

90

(d5) 89.46

0.78

(d2) 92.54

0.85

(d4) 91.26

0.82