Table 5 Performance of supervised learning models for the binary fatigue detection approach.

From: Identifying neuromuscular and mental fatigue in elite youth table tennis players using machine learning

Rank

Classifier

Accuracy (%)

Precision (%)

Recall (%)

F1-Score (%)

1

KNN

84 ± 0.022

82 ± 0.022

81 ± 0.022

81 ± 0.022

2

Random Forest

81 ± 0.009

88 ± 0.009

72 ± 0.009

75 ± 0.009

3

SVM (linear)

77 ± 0.024

74 ± 0.024

72 ± 0.024

73 ± 0.024

4

SVM (RBF)

67 ± 0.004

84 ± 0.004

52 ± 0.004

43 ± 0.004

5

Decision Tree

63 ± 0.025

58 ± 0.025

58 ± 0.025

58 ± 0.025

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