Table 5 Results of 10-fold cross validations of SVM and random forest on 6 datasets with different P:N ratios of positive to negative instances
From: Predicting protein-binding regions in RNA using nucleotide profiles and compositions
P:N | Sensitivity | Specificity | Accuracy | PPV | NPV | MCC |
|---|---|---|---|---|---|---|
SVM | Â | Â | Â | Â | Â | Â |
1:1 | 91.61% | 92.39% | 92.02% | 91.69% | 92.31% | 0.840 |
1:2 | 91.37% | 92.17% | 91.91% | 84.53% | 95.80% | 0.819 |
1:4 | 91.13% | 92.33% | 92.09% | 74.64% | 97.68% | 0.777 |
1:6 | 91.22% | 91.95% | 91.84% | 66.71% | 98.34% | 0.736 |
1:8 | 91.22% | 91.92% | 91.83% | 62.52% | 98.61% | 0.713 |
1:10 | 91.19% | 91.54% | 91.50% | 58.11% | 98.78% | 0.686 |
Random forest | Â | Â | Â | Â | Â | Â |
1:1 | 91.13% | 92.06% | 91.62% | 91.32% | 91.89% | 0.832 |
1:2 | 85.44% | 95.21% | 92.09% | 89.31% | 93.32% | 0.816 |
1:4 | 80.40% | 97.18% | 93.85% | 87.59% | 95.24% | 0.802 |
1:6 | 77.88% | 97.77% | 94.78% | 86.01% | 96.16% | 0.788 |
1:8 | 76.01% | 98.01% | 95.18% | 84.95% | 96.51% | 0.777 |
1:10 | 75.24% | 98.14% | 95.53% | 83.90% | 96.86% | 0.770 |