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Table 3 Results of performance metrics for dominance classification

From: A comparative analysis of machine learning methods for emotion recognition using EEG and peripheral physiological signals

Time

Classifier

Accuracy (%)

Precision (%)

Recall (%)

F1-score (%)

0 to 15 s

SVM

64.53

64.52

100

78.09

LR

64.30

64.42

97.00

77.42

DT

50.62

68.73

37.50

47.87

KNN

59.33

67.93

70.02

69.47

LDA

57.81

57.48

99.09

72.78

15 to 30 s

SVM

67.65

67.65

100

80.07

LR

68.36

69.56

96.95

81.01

DT

65.01

70.58

85.54

77.30

KNN

63.59

70.20

83.05

76.86

LDA

67.5

67.77

99.06

80.05

30 to 45 s

SVM

67.18

67.72

99.55

77.66

LR

68.08

69.66

96.85

80.85

DT

67.84

71.20

97.50

79.99

KNN

62.64

69.85

81.69

75.31

LDA

66.56

67.35

98.96

79.88

45 to 60 s

SVM

66.25

67.30

100

79.62

LR

67.73

69.47

94.94

80.22

DT

71.73

69.73

98.40

82.17

KNN

63.12

68.03

86.45

76.14

LDA

66.67

67.40

98.34

79.99