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Table 4 The average performances of kNN, QDA, and SVM classification methods in apnea detection.

From: Sleep stage and obstructive apneaic epoch classification using single-lead ECG

Classification Method Mean Worst Best
kNN 718/904 = 79.5% 615/904 = 68% 808/904 = 89.4%
  CKI = 0.94 CKI = 0.91 CKI = 0.95
QDA 788/904 = 87.2% 687/904 = 76% 854/904 = 94.5%
  CKI = 0.97 CKI = 0.95 CKI = 0.98
SVM 789/904 = 87.3% 683/904 = 75.6% 854/904 = 94.5%
  CKI = 0.98 CKI = 0.95 CKI = 0.98
  1. The values on the "Mean" column are the average percentages of accurate estimations. The "Worst" and "Best" classification accuracies across OSA subjects are also included.