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Table 2 The performances of CapsNet-SSP and other methods on the independent test set

From: CapsNet-SSP: multilane capsule network for predicting human saliva-secretory proteins

Methods

Accuracy

Sensitivity

Specificity

Precision

F-score

MCC

AUC

KNN

0.778

0.649

0.907

0.875

0.745

0.575

0.809

Decision Tree

0.772

0.692

0.851

0.823

0.752

0.550

0.740

Random Forest

0.781

0.804

0.758

0.769

0.786

0.563

0.836

AdaBoost

0.792

0.703

0.881

0.855

0.772

0.593

0.847

SVM

0.781

0.784

0.778

0.779

0.782

0.562

0.857

CapsNet-SSP

0.888

0.847

0.929

0.922

0.884

0.779

0.948

  1. The threshold is set where the MCC reaches the maximum value
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BMC Bioinformatics

ISSN: 1471-2105

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