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Table 1 Analysis of the prediction performance of individual features

From: Computational prediction of the human-microbial oral interactome

Feature

AUC

CA

F1-score

Precision

Recall

+ Literature

0.781

0.722

0.723

0.721

0.726

+ Sequence

0.877

0.784

0.790

0.768

0.813

+ GO

0.817

0.742

0.748

0.735

0.760

+ COGs

0.663

0.652

0.537

0.806

0.402

+ DDIs

0.620

0.617

0.424

0.861

0.281

Final Model

0.926

0.850

0.851

0.848

0.854

  1. For each line the metrics are obtained by considering only that cluster of features on the classifier. AUC, area under the receiver operating characteristic (ROC) curve; CA, classification accuracy.
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BMC Systems Biology

ISSN: 1752-0509

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