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Table 4 Performances of ensemble model evaluated by 20 runs of 3-CV and 5-CV

From: Predicting potential drug-drug interactions by integrating chemical, biological, phenotypic and network data

Evluation

Method

AUC

AUPR

Precision

Recall

Accuracy

F-measure

3-CV evaluation

Weighted average ensemble method

0.947

0.832

0.782

0.703

0.932

0.740

Classifier ensemble method(L1)

0.954

0.841

0.788

0.717

0.934

0.751

Classifier ensemble method(L2)

0.952

0.839

0.784

0.712

0.933

0.746

5-CV evaluation

Weighted average ensemble method

0.951

0.795

0.775

0.659

0.953

0.712

Classifier ensemble method(L1)

0.957

0.807

0.785

0.670

0.955

0.723

Classifier ensemble method(L2)

0.956

0.806

0.783

0.665

0.955

0.719