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Table 2 Performance comparison of GTB with other machine learning algorithms(k-NN, RF and SVM)

From: Accurate prediction of protein-lncRNA interactions by diffusion and HeteSim features across heterogeneous network

 

AUC

ACC

SEN

SPE

F1-Score

MCC

KNN

0.916

0.860

0.871

0.849

0.862

0.721

RF

0.969

0.918

0.868

0.966

0.913

0.839

SVM

0.973

0.931

0.921

0.940

0.930

0.862

PLIPCOM

0.982

0.947

0.931

0.963

0.946

0.895

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BMC Bioinformatics

ISSN: 1471-2105

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