Table 7.
The classification and base-pair prediction accuracies of various configurations
Configuration | Features (#) | Classification accuracy (%) | Base-pair accuracy (%) |
---|---|---|---|
pknotsRG | – | – | 68.8 |
All features | 742 | 66.3 | 72.2 (+3.4) |
mRMR | 50 | 68.3 | 72.9 (+4.1) |
mRR | 50 | 68.1 | 72.5 (+3.7) |
Adaboost | 200 | 72.8 | 73.8 (+5.0) |
ImRMR + WMJ | 50 × 4 | 70.2 | 73.0 (+4.2) |
ImRR + WMJ | 50 × 4 | 69.6 | 73.2 (+4.4) |
ImRMR + BKS | 50 × 4 | 74.0 | 75.5 (+6.7) |
ImRR + BKS | 50 × 4 | 74.4 | 75.2 (+6.4) |