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. 2019 Oct 4;47(21):e142. doi: 10.1093/nar/gkz818

Table 3.

Performance of funtrp models for training and independent test sets

ntModel funtrpModel random PTEN TPMT HSP90
Precision Neutral 0.94 0.90 0.53 0.84 0.91 0.90
Rheostat - 0.73 0.28 0.70 0.64 0.34
Toggle 0.88 0.88 0.20 0.87 0.88 0.73
Recall Neutral 0.95 0.91 0.32 0.87 0.90 0.73
Rheostat - 0.77 0.36 0.78 0.71 0.62
Toggle 0.85 0.80 0.35 0.73 0.83 0.67
Overall Accuracy 92.3% 85.1% 55.5% 79.3% 84.1% 70%

Model performance was evaluated separately for training sets using Leave-One-Out-Cross-Validation (LOO-CV) and three independent test sets not seen before. Performance measures were calculated using Equation (3).