Chunk #32 — 3. Results

Source

Age-Related Alterations in EEG Network Connectivity in Healthy Aging.

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Table 4 shows the weighted average precision and the area under the curve (AUC) for ROC curve of all classifiers in resting and visual working memory task states. KNN achieved the highest precision value of 0.989 during the visual WM task, while the highest AUC for ROC curve was achieved by RF (AUC = 0.988), followed by KNN with 0.979.