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Table 1 The performances of CapsNet-SSP and other methods on the training set

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

Methods

Accuracy

Sensitivity

Specificity

Precision

F-score

MCC

AUC

KNN

0.835

0.763

0.907

0.891

0.822

0.677

0.878

Decision Tree

0.820

0.789

0.852

0.842

0.815

0.642

0.800

Random Forest

0.810

0.752

0.867

0.850

0.798

0.623

0.879

AdaBoost

0.830

0.754

0.905

0.889

0.836

0.667

0.905

SVM

0.830

0.760

0.899

0.883

0.822

0.666

0.877

CapsNet-SSP

0.905

0.880

0.929

0.924

0.902

0.810

0.930

  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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