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Table 4 Performance results (%) for pre-seizure and seizure EEG signal classification using the combined feature-set

From: Epileptic seizure classifications using empirical mode decomposition and its derivative

ApproachComponentsSVMKNNNaive BayesLogistic regression
ACCF-scoreACCF-scoreACCF-scoreACCF-score
EMDIMF194.3194.1694.3894.3194.3194.0386.2587.06
IMF294.1293.8592.6292.4893.1392.7994.0694.22
IMF393.3893.3694.6394.4595.6395.4887.5086.58
IMF1–IMF294.5694.4093.8193.7094.5694.3392.592.31
IMF1–IMF392.0692.3895.6395.5396.8896.7796.2596.23
IMF2–IMF394.5094.3594.8194.6695.8895.7489.6989.39
IMF1–39090.9994.8894.8196.1996.0793.7593.59
IMF1–487.3885.9094.6394.599695.8992.8192.55
EEMDIMF196.0696.0494.4494.4393.7593.6096.2596.30
IMF292.4492.1991.8191.6993.5093.1287.1986.38
IMF394.5094.4294.0694.0295.4495.2792.1991.80
IMF1–IMF294.9494.8694.8194.7694.1293.9192.5092.68
IMF1–IMF381.6980.2995.9495.90 9796.9184.3884.66
IMF2–IMF394.4494.3294.2594.2195.3895.1891.2591.36
IMF1–394.1994.399796.9795.7595.6290.3190.22
IMF1–493.5693.3096.1996.1796.8896.7793.1392.86
DWTAC+DC1-380.8176.8393.4493.3894.5694.4390.9490.97
EEGAll EEG59.7566.3393.2593.3578.9474.4188.4487.46