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Table 6 The selection of smooth value in multi-class loss function

From: Multi-view feature representation and fusion for drug-drug interactions prediction

smooth value

Acc

Precision

Recall

F1

0.0

0.9581

0.9502

0.9405

0.9415

0.1

0.9623

0.9557

0.9428

0.9459

0.15

0.9670

0.9581

0.9492

0.9504

0.2

0.9630

0.9571

0.9404

0.9446

0.25

0.9632

0.9507

0.9401

0.9417

0.3

0.9637

0.9563

0.9493

0.9493

  1. The bold values represents when the smooth value is 0.15, the performance of our model reaches the best on all criteria for the multi-class classifcation task
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BMC Bioinformatics

ISSN: 1471-2105

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