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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