Table 4 Confusion matrix of EEG combination of all bands.

From: Insights from EEG analysis of evoked memory recalls using deep learning for emotion charting

Output class

Target class

Total

HVHA

HVLA

LVHA

LVLA

HVHA

202

\(15.5\%\)

23

\(1.8\%\)

82

\(6.3\%\)

104

\(8.0\%\)

\(49.1\%\)

HVLA

12

\(0.9\%\)

270

\(20.7\%\)

15

\(1.2\%\)

9

\(0.7\%\)

\(88.2\%\)

LVHA

13

\(1.0\%\)

24

\(1.8\%\)

202

\(15.5\%\)

31

\(2.4\%\)

\(74.8\%\)

LVLA

99

\(7.6\%\)

9

\(0.7\%\)

27

\(2.1\%\)

182

\(14.0\%\)

\(57.4\%\)

Total

\(62.0\%\)

\(82.8\%\)

\(62.0\%\)

\(55.8\%\)

\(65.6\%\)

  1. The boxes shows both the number of samples and the percentage of samples to the total number of samples. Similarly, total percentages below the the matrix shows the percentage of true positive rate from that specific class, and right side of the matrix with percentages of precision, the total percentage value at right bottom shows the overall accuracy of model.