Skip to main content

Table 2 Performance of LibSVM using Amino acid and Dipeptide composition as feature inputs for multiclass classification

From: Prediction of peptidoglycan hydrolases- a new class of antibacterial proteins

Class

Sensitivity

Specificity

Accuracy

MCC

 

AAC

DPC

AAC

DPC

AAC

DPC

AAC

DPC

A

7.53

76.57

97.95

97.16

86.67

94.67

0.07

0.74

B

0

52.45

100

99.6

96.91

98.31

0

0.62

C

14.2

55.88

98.36

97.55

88.94

93.47

0.19

0.6

D

0

32.77

100

99.81

99.37

99.4

0

0.4

E

98.23

96.17

15.49

75.08

76.01

90.74

0.26

0.74

  1. SVM = Support Vector Machine at t = 0 and c = 0.7 for both AAC and DPC
  2. Where, A = N-acetylmuramoyl-L-alanine amidases, B = Peptidases, C = Enzymes acting on Peptidoglycan chain, D = Unclassified, and E = Negative Dataset
Back to article page

BMC Genomics

ISSN: 1471-2164

Contact us