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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).