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Table 3 Accuracy, sensitivity, specificity of OSELM in detecting normal voice and dysphonia and comparison with other classifiers

From: The accuracy of an Online Sequential Extreme Learning Machine in detecting voice pathology using the Malaysian Voice Pathology Database

 

OSELM (%)

Naive Bays (NB) (%)

Support Vector Machine (SVM) (%)

Decision Tree (DT) (%)

Accuracy

90

80

75

73

Sensitivity

98

70

75

62

Specificity

73

86

76

80