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Table 7 Evaluation of the metric parameters for the seven classifiers of the continuous case testing method

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

 

SVM

Ensemble

KNN

LD

Logistic regression

Decision tree

Naïve Bayes

TP

41

42

38

42

41

41

32

TN

31

31

30

28

25

28

24

FP

9

9

10

12

15

12

13

FN

1

0

4

0

1

1

11

Accuracy

87.80488

89.02439

82.92683

85.36585

80.4878

84.14634

70

Sensitivity

97.61905

100

90.47619

100

97.61905

97.61905

74.42

Specificity

77.5

77.5

75

70

62.5

70

64.86

PositivePre

82

82.35294

79.16667

77.77778

73.21429

77.35849

71.11

F1

89.13043

90.32258

84.44444

87.5

83.67347

86.31579

72.73

FallOut

22.5

22.5

25

30

37.5

30

35.14

MisRate

2.380952

0

9.52381

0

2.380952

2.380952

25.58