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Table 3 Performance comparison of SVM, DBM, and AdaBoost

From: Development of a support vector machine learning and smart phone Internet of Things-based architecture for real-time sleep apnea diagnosis

Classifier

% Sensitivity

% Specificity

% Accuracy

SVM

87.6

94.1

90.2

DBN

60.36

91.71

85.26

AdaBoost

72.64

87.18

83.64

  1. Table 3 corresponds to Fig. 6
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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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