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Table 5 Comparison of REGAL vs. Random Forests. REGAL also outperforms a second technique from [7] using random forest trees for the identification of CU editing sites in mitochondrial genomes.

From: Genetic algorithm learning as a robust approach to RNA editing site prediction

  Random Forests REGAL
  Sensitivity Specificity Accuracy Sensitivity Specificity Accuracy
A. thaliana 0.70 0.81 0.74 0.81 0.91 0.86
B. napus 0.73 0.81 0.77 0.81 0.91 0.86
O. sativa 0.72 0.81 0.72 0.85 0.92 0.88
Overall 0.71 0.81 0.84 0.82 0.91 0.87