Skip to main content

Table 1 Jackknife results of the adaptive k-skip-2-g features and traditional 2-g features evaluated on the CPP924 dataset

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

Classifiers

Adaptive k-skip-2-g features

Traditional 2-g features

 

SE (%)

SP (%)

ACC (%)

MCC

SE (%)

SP (%)

ACC (%)

MCC

RF

88.5

92.6

90.6

0.812

89.0

85.9

87.4

0.751

LibSVM

88.1

92.6

90.4

0.810

83.3

90.7

87.0

0.745