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. 2018 Jan 8;11:733. doi: 10.3389/fnins.2017.00733

Table 2.

Confusion matrix for EEG sensor signals classification averaged across participants (50 test trials per class).

EEG sensor signals classification accuracies (%)
graphic file with name fnins-11-00733-i0001.jpg HLE HLF HRE HRF LLE LLF LRE LRF Control
HLE 9.00 6.50 5.75 4.75 6.00 6.38 4.13 3.88 3.63
HLF 7.13 9.13 4.13 4.88 5.75 7.25 3.13 3.38 5.25
HRE 4.00 4.25 10.75 8.25 3.38 3.75 6.63 6.00 3.00
HRF 4.88 4.88 6.75 11.13 3.25 3.25 4.75 6.75 4.38
LLE 5.88 6.00 4.38 3.00 10.63 7.50 5.13 3.25 4.25
LLF 7.13 6.25 4.50 2.50 6.00 9.50 4.38 3.88 5.88
LRE 5.25 3.50 6.50 5.38 4.63 3.88 10.63 6.25 4.00
LRF 4.00 3.00 4.75 7.75 3.63 3.88 6.38 12.63 4.00
Control 3.13 5.25 2.25 3.50 4.38 5.38 4.38 5.25 16.50
Mean accuracy per class (%) 18 ± 3.25 18.25 ± 2.70 21.5 ± 2.76 22.25 ± 3.64 21.25 ± 3.81 19 ± 2.45 21.25 ± 3.85 25.25 ± 4.41 33 ± 8.52
Mean accuracy (%) 22.19 ± 1.85