Table 2 MetaVelvet-DL and -SL prediction accuracies on the CAMI low-complexity dataset
From: MetaVelvet-DL: a MetaVelvet deep learning extension for de novo metagenome assembly
| Â | MetaVelvet-DL | MetaVelvet-SL |
|---|---|---|
Accuracy | 55.6% | 46.1% |
Class 1 Sensitivity | 35.9% | 26.2% |
Class 1 Specificity | 82.9% | 87.7% |
Class 1 Balanced Accuracy | 59.4% | 56.9% |
Class 2 Sensitivity | 64.5% | 54.5% |
Class 2 Specificity | 75.5% | 63.6% |
Class 2 Balanced Accuracy | 70.0% | 59.1% |
Class 3 Sensitivity | 60.1% | 51.2% |
Class 3 Specificity | 70.1% | 63.1% |
Class 3 Balanced Accuracy | 65.3% | 57.2% |