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Table 4 The performance of various classifiers

From: Differentiation between depression and bipolar disorder in child and adolescents by voice features

Classifier

Speech accuracy (%)

Subject accuracy (%)

AUC

Time cost (s)

CNN

77.46

83.33

0.887

62.3988

DT

85.27

91.37

0.886

0.8865

NB

80.13

86.87

0.897

0.9364

SVM

91.98

94.75

0.991

0.8726

KNN

86.92

92.37

0.974

0.9324

EL

90.95

93.27

0.985

1.8739

  1. CNN Convolutional Neural Networks; DT Decision Tree; NB, Naive Bayes Classifier; SVM Support Vector Machine; KMN K-Nearest Neighbor; EL Ensemble learning
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Child and Adolescent Psychiatry and Mental Health

ISSN: 1753-2000