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Table 5 The table compares the performance of a decision tree derived using the C4.5 algorithm and a Random Forest, both generated with standard parameters. Ten-fold stratified cross-validation (on MTS) and validation on an independent protectivity validation set (MVS) are compared

From: Analysis and prediction of protective continuous B-cell epitopes on pathogen proteins

 

C4.5

Random Forest

 

% sep

FPrate

TPrate

% sep

FPrate

TPrate

Cross-validation

70.41

0.24

0.65

83.39

0.15

0.82

Validation-set

73.64

0.26

0.73

84.27

0.15

0.83

  1. Column abbreviations: %sep (% class separation), FPrate (False Positive rate) and TPrate (True Positive rate).