Table 10 Results of the evaluation performance metrics for ML classifiers for the second scenario.

From: An integrative approach to medical laboratory equipment risk management

 

SVM (%)

K-NN (%)

NB (%)

RF (%)

ANN (%)

Accuracy

97.67

94.57

96.12

99.22

96.90

Sensitivity

97.71

94.52

96.32

99.18

96.89

Precision

96.92

95.29

92.54

100.00

96.89

F1-Score

97.31

94.90

94.36

99.59

96.89

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