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Brain Informatics

Table 2 Confusion matrix for the three-way classification performance using the features derived from the left-frontal region

From: Integrated space–frequency–time domain feature extraction for MEG-based Alzheimer’s disease classification

Test observation: n = 54, each class with 18

Predicted AD

Predicted MCI

Predicted HC

Actual AD

18

0

0

Actual MCI

0

16.5

1.5

Actual HC

0

6.1

11.9

  1. The results are obtained using the optimal feature engineering approach, i.e. the horizontal detail coefficients with Type-SD, from the gradiometer modality
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