Table 8 10-folds cross-validation predictive accuracies for Aleph, ProGolem and SVM
| Â | Learning algorithm | ||||
|---|---|---|---|---|---|
Fold | Aleph 1 | ProG. 1 | Aleph 2 | ProG. 2 | SVM |
1 | 50.0% | 75.0% | 56.3% | 75.0% | 81.3% |
2 | 68.8% | 81.3% | 68.8% | 81.3% | 87.5% |
3 | 62.5% | 68.8% | 68.8% | 93.8% | 87.5% |
4 | 50.0% | 56.3% | 68.8% | 75.0% | 75.0% |
5 | 75.0% | 81.3% | 56.3% | 81.3% | 75.0% |
6 | 68.8% | 87.5% | 81.3% | 87.5% | 87.5% |
7 | 75.0% | 81.3% | 75.0% | 81.3% | 93.8% |
8 | 93.8% | 81.3% | 75.0% | 93.8% | 87.5% |
9 | 68.8% | 75.0% | 75.0% | 81.3% | 75.0% |
10 | 56.3% | 56.3% | 87.5% | 81.3% | 62.5% |
Mean | 66.9% | 74.4% | 71.3% | 83.2% | 81.3% |
Std Dev | 13.2% | 10.8% | 9.8% | 6.6% | 9.3% |