Research Article
Automatic Diagnosis of Mild Cognitive Impairment Based on Spectral, Functional Connectivity, and Nonlinear EEG-Based Features
Table 3
The classification results of the proposed method based on RBFSVM, LSVM, and KNN classification models using different EEG feature sets in terms of the percentage (%) of the mean and standard deviation of AC, SE, SP, F1, and FDR metrics.
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