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Table 4 The accuracy, sensitivity, specificity and AUC models

From: Modeling the diagnosis of coronary artery disease by discriminant analysis and logistic regression: a cross-sectional study

Methods

Model

Accuracy %

Sensitivity %

Specificity %

AUC %

Classical

LDA

78.6

81.3

71.3

81.9

QDA

64.6

88.2

48.2

81

LR

77

87.6

55.6

82

Non-classical

KNN

74

77.5

63.7

82

  1. LDA linear discriminant analysis, QDA quadratic discriminant analysis, KNN K-nearest neighbor, LR logistic regression