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Table 4 Predictive outcomes of deepstacked-AVPs model using independent dataset

From: Deepstacked-AVPs: predicting antiviral peptides using tri-segment evolutionary profile and word embedding based multi-perspective features with deep stacking model

Classifier

Acc (%)

Sn (%)

Sp (%)

MCC

AUC

RF

90.83

90.00

91.66

0.81

0.96

ETC

88.33

86.66

90.00

0.76

0.96

XGB

84.16

85.81

82.50

0.68

0.93

DNN

87.50

81.80

92.30

0.74

0.95

Stacked-ensemble

95.15

96.27

94.91

0.90

0.97

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BMC Bioinformatics

ISSN: 1471-2105

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