Table 3 Prediction results.
From: Towards a semi-automatic functional annotation tool based on decision-tree techniques
Learn | Test | Method | hP | hR | hF | pr |
|---|---|---|---|---|---|---|
L. bulgaricus + L. sakei | 3-CV | Multilabel | 86.6% | 52.2% | 65.1% | 73.7% |
TILDE | 86.7% | 51.9% | 64.9% | 76.4% | ||
L. sakei | L. bulgaricus | Multilabel | 85.3% | 47.4% | 60.9% | 72.2% |
TILDE | 82.6% | 44.5% | 57.8% | 96.8% | ||
combined-Multilabel | 81.4% | 55.3% | 65.9% | 98.3% | ||
combined-TILDE | 81.5% | 44.7% | 57.7% | 98.3% | ||
L. bulgaricus | L. sakei | Multilabel | 80.5% | 52.7% | 63.7% | 78.1% |
TILDE | 85.9% | 65.2% | 74.1% | 96.8% | ||
combined-Multilabel | 79.7% | 61.4% | 69.4% | 98.5% | ||
combined-TILDE | 86.0% | 66.8% | 75.2% | 98.5% |