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Table 1 Comparison for the Auroc, Auprc, Mcc and F-Measure values of the LMFDA versus baselines on the two datasets

From: Learning from low-rank multimodal representations for predicting disease-drug associations

Measures

AUROC

AUPRC

ACC

F-measure

LMFDA

Fdataset

0.916

0.906

0.812

0.828

Cdataset

0.921

0.912

0.822

0.839

TLHGBI

Fdataset

0.846

0.852

0.775

0.789

Cdataset

0.860

0.867

0.780

0.799

LRSSL

Fdataset

0.879

0.885

0.772

0.791

Cdataset

0.897

0.907

0.788

0.803

SCMFDD

Fdataset

0.859

0.839

0.776

0.801

Cdataset

0.878

0.840

0.786

0.809

KBMF

Fdataset

0.871

0.889

0.804

0.816

Cdataset

0.886

0.890

0.816

0.819

  1. By contrast, the best performers have been shown in bold
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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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