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Table 3 The average classification accuracy of the proposed work with the recent state-of-the-art

From: Multiclass EEG signal classification utilizing Rényi min-entropy-based feature selection from wavelet packet transformation

Proposed algorithm + random forest

Proposed algorithm + MLP-ANN

Jin et al. [25]

80.55

80.11

78%