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. 2023 Apr 4:1–31. Online ahead of print. doi: 10.1007/s11042-023-15052-2

Table 11.

Comparisons among different classifiers

Classifier Database Performance metrics in %
Accuracy Sensitivity Specificity
Convolutional neural network [79] SNUH-HYU 73.7 74.5 72.9
CHB-MIT 68.9 65.8 72.2
Directed transfer function [135] Ten patients from Jiaotong university 98.45 93.36 98.42
MAX(KNN + LDA + NB) [140] Bonn University, Germany 96.97 96.97 96.97
k-means [98] 94.6 93.8 92.3
Multiplayer perceptron 80.4 77.3 73.4
Linear regression 78.9 72.2 69.6
Neural network [138] CHB-MIT 98.70
k- Nearest Neighbor 94.71
Naïve Bayes 95.14
LDA [139] PhysioNet 88.06
KNN 79.38
SVM 82.25
DT 71.71
MLPNN 70.15
Improved Approximate Entropy [10] 83 78 88
MLPNN [125] Neurology Research left, india 92.5 91.5 90.5
LS_SVM 95.6 94.5 93.2
Naïve Bayes 84.4 85.2 85.3
KNN 86.1 87.3 84.3
KNN [24] Bonn University, Germany 96.37 94.12 98.62
LDA 88.98 80.36 97.60
NB 93.25 89.90 96.60
LR 96.03 95.22 96.84
SVM 97.24 96.14 98.34
SVM+ Wavelet ICA [94] EEGLAB 99.1 97.1 99.3
SVM [34] CHB-MIT 93 95 90
KNN [103] Bonn University, Germany 97.1
NB 95.8
LDA [56] 91.032 94.210
FEBANN [113] 91 90.4 91.3
SVM [115] 99.25 100 98.5
LDA 86.87 100 73.75
LS-SVM [30] Available online 97.9 97 98
NB 91 91 90
KNN 89.5 90 88
GMM [86] Sri Ramakrishna Hospital, India 97.73 96.45 96.73
ANN [29] Publicly available 97.1 99.3 97.9
ANN [145] Bonn university 87.2
SVM [71] Bonn university 95.1 93.04 96.85
KNN 96.7 95.23 97.34
DT 97 96.2 97.53
KNN [40] Bonn university 94.40 87 96.25
LDA 93.20 68 99.50
LR [89] Sri Ramakrishna hospital, India 95.88 96.04 95.71
Ensemble [89] 88.57
DT [134] New York university 91.3
DT [90] Sri Ramakrishna Hospital, India 96.83 95.13 98.54