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Table 3 Jackknife results of the underlying random forest classifier and four alternative classifiers on the benchmark dataset CPP924

From: SkipCPP-Pred: an improved and promising sequence-based predictor for predicting cell-penetrating peptides

Classifier

SE (%)

SP (%)

ACC (%)

MCC

NB

82.7

94.8

88.7

0.781

SMO

87.9

89.4

88.6

0.773

J48

87.2

84.6

85.9

0.719

LR

82.0

80.7

81.4

0.628

LibSVM

88.1

92.6

90.4

0.810

RF

88.5

92.6

90.6

0.812

  1. NB and LR denote Naïve Bayes and Logistic Regression, respectively
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BMC Genomics

ISSN: 1471-2164

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