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Table 3 The performance of dipeptide composition based SVM models, evaluated using ten-fold cross validation on training data (80%) and independent validation on independent data (20%) on BalanceEval (BalanceFix & BalanceVar) dataset

From: Identification of B-cell epitopes in an antigen for inducing specific class of antibodies

Dataset

 

Mode

Data size

ACC

MCC

AUC

BalanceVar

IgG

Training

6063

70.88

0.42

0.76

Evaluation

1519

68.24

0.37

0.74

IgE

Training

1873

80.53

0.61

0.87

Evaluation

468

81.49

0.63

0.88

IgA

Training

322

69.60

0.39

0.75

Evaluation

80

74.69

0.49

0.79

BalanceFix

IgG

Training

4893

70.87

0.42

0.76

Evaluation

1223

71.67

0.43

0.78

IgE

Training

1524

85.04

0.70

0.90

Evaluation

381

80.97

0.62

0.86

IgA

Training

213

73

0.46

0.80

Evaluation

54

66.67

0.33

0.72