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Table 1 Test classification results on three feature sets

From: Optimized electroencephalogram and functional near-infrared spectroscopy-based mental workload detection method for practical applications

Feature set

Classifier

Results

Min.

Mean

Max.

Std.

Only-EEG

SVM

28.67

52.293

75.43

11.87

RF

32.33

54.245

79.32

12.23

DT

24.56

45.895

72.34

13.19

Only-fNIRS

SVM

52.20

67.132

82.10

8.43

RF

51.92

70.302

81.23

8.27

DT

50.89

62.163

77.21

7.85

EEG–fNIRS

SVM

63.39

70.233

83.71

6.34

RF

69.46

76.255

88.20

5.21

DT

53.35

64.464

80.38

7.33

  1. Note that “Min” represents the minimum value of classification accuracy for all subjects, “Max” represents the Maximum value of classification accuracy for all subjects, “Mean” represents the average of the classification accuracy of all subjects, “Std” represents the standard deviation value in classification accuracy for all subjects
  2. Bold represents the best results