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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