Table 9 Results of the evaluation performance metrics for ML classifiers for the first scenario.

From: An integrative approach to medical laboratory equipment risk management

 

SVM (%)

K-NN (%)

NB (%)

RF (%)

ANN (%)

Accuracy

92.00

87.56

90.22

92.44

91.11

Sensitivity

82.21

76.26

84.38

84.66

83.78

Precision

87.06

78.24

83.81

87.79

84.15

F1-Score

84.36

77.19

84.08

86.05

83.93

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