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Table 6 EEG Features Predicting Diagnostic Group Based on Incorrect Trials

From: Machine learning identification of EEG features predicting working memory performance in schizophrenia and healthy adults

Location WM Stage Frequency Feature Weight
Frontal Retrieve alpha −0.541
Central Encode gamma −0.027
  1. Features extracted by 1-norm SVM to classify HN vs. SZ status in incorrect trial data. SZ is labeled 1 and HN labeled −1. All other features weighted at 0