Table 4 Performance of five-fold cross-validation and three-way data split for the benchmark data sets.
From: Predicting RNA-binding sites of proteins using support vector machines and evolutionary information
Data set | Measurements | Spec. (%) | Sens. (%) | Acc (%) | MCC | Threshold |
|---|---|---|---|---|---|---|
RBP86 | 5-fold CV | 90.36 | 79.95 | 87.99 | 0.68 | 0.36 |
| Â | 3-way data split | 90.01 | 79.64 | 87.65 | 0.67 | 0.36 |
RBP109 | 5-fold CV | 93.88 | 64.62 | 89.70 | 0.58 | 0.35 |
| Â | 3-way data split | 94.14 | 60.63 | 89.36 | 0.56 | 0.35 |
RBP107 | 5-fold CV | 80.87 | 77.14 | 80.44 | 0.42 | 0.11 |
| Â | 3-way data split | 80.65 | 73.62 | 79.84 | 0.40 | 0.12 |