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Table 2 Analysis of the contribution to the overall performance of individual cluster of features

From: Computational prediction of the human-microbial oral interactome

Feature AUC CA F1-score Precision Recall
- Literature 0.919 0.841 0.841 0.841 0.841
- Sequence 0.891 0.794 0.774 0.855 0.708
- GO 0.916 0.838 0.839 0.835 0.842
- COGs 0.923 0.846 0.847 0.842 0.852
- DDIs 0.911 0.831 0.834 0.819 0.850
Final Model 0.926 0.850 0.851 0.848 0.854
  1. For each line the metrics are obtained by removing that cluster of features from the classifier. AUC, area under the receiver operating characteristic (ROC) curve; CA, classification accuracy.