Skip to main content

Table 2 Groupwise average accuracies of various feature extraction methods combined with various classifiers applied to classify sets A, B, C, D, and E (standard deviations are noted in parentheses).

From: Combination of EEG Complexity and Spectral Analysis for Epilepsy Diagnosis and Seizure Detection

Classifier

Feature Selection

A

B

C

D

E

Accuracy

LLS

All features

94.75 (3.6)

88.75 (5.0)

51.00 (8.6)

60.00 (8.0)

92.25 (3.6)

77.95 (1.7)

LDA

All features

96.00 (2.9)

88.25 (5.3)

51.00 (8.6)

62.00 (8.1)

94.25 (4.1)

78.30 (1.7)

BP

All features

95.75 (3.1)

91.50 (3.8)

59.25 (8.8)

63.75 (9.3)

94.00 (2.7)

80.85 (1.5)

 

PCA

94.75 (4.9)

92.50 (3.3)

63.25 (7.0)

70.50 (9.5)

93.00 (2.8)

82.80 (2.5)

LISVM

All features

94.75 (6.5)

92.00 (4.4)

59.50 (5.8)

64.50 (6.5)

95.25 (1.4)

81.20 (1.4)

 

PCA

94.50 (4.4)

91.75 (4.7)

62.50 (7.7)

63.00 (9.1)

94.50 (3.5)

81.25 (2.2)

RBFSVM

All features

97.00 (4.4)

93.00 (3.5)

71.75 (6.5)

70.00 (8.7)

96.00 (3.4)

85.55 (2.0)

 

PCA

94.25 (7.3)

92.50 (3.7)

75.75 (7.4)

72.00 (6.7)

95.00 (3.3)

85.90 (2.4)