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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

  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%