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Table 6 Evaluation of the metric parameters for the seven classifiers of the random case testing method

From: Automated seizure diagnosis system based on feature extraction and channel selection using EEG signals

 

SVM

Ensemble

KNN

LDA

Logistic regression

Decision tree

Naïve Bayes

TP

39

42

37

41

40

40

11

TN

29

24

31

22

22

27

37

FP

8

13

6

15

15

10

0

FN

4

1

6

2

3

3

32

Accuracy

85

82.5

85

78.75

77.5

83.75

60

Sensitivity

90.69767

97.67442

86.04651

95.34884

93.02326

93.02326

25.58

Specificity

78.37838

64.86486

83.78378

59.45946

59.45946

72.97297

100

PositivePre

82.97872

76.36364

86.04651

73.21429

72.72727

80

100

F1

86.66667

85.71429

86.04651

82.82828

81.63265

86.02151

40.75

FallOut

21.62162

35.13514

16.21622

40.54054

40.54054

27.02703

0

MisRate

9.302326

2.325581

13.95349

4.651163

6.976744

6.976744

74.42