/interval_md_bci_results

Results for individual subjects of Moderate Deviations in the BCI Competition IV 2a

interval_md_bci_results

Results for individual subjects of Moderate Deviations in the BCI Competition IV 2a

You can find the results for each one of the different configurations testes on the "csv_results" folder. However, we have also included in this README the ones that we think that are more interesting.

Multimodal Fuzzy Fusion framework with moderate deviation 1 and Lukasiewicz implication operator left/right hand classification (best binary md1)

Accuracy Mean Std
Subject 1 0.754398 0.184782
Subject 2 0.802083 0.129471
Subject 3 0.734259 0.18441
Subject 4 0.755787 0.149214
Subject 5 0.779398 0.149704
Subject 6 0.622685 0.313821
Subject 7 0.772685 0.137656
Subject 8 0.798611 0.155327
Subject 9 0.790278 0.141216

Traditional framework with moderate deviation 2 and Reichenbach intervals left/right hand classification (best binary md2)

Accuracy Mean Std
Subject 1 0.763889 0.163741
Subject 2 0.808565 0.073395
Subject 3 0.632176 0.268329
Subject 4 0.75787 0.175987
Subject 5 0.771065 0.0606724
Subject 6 0.730093 0.232765
Subject 7 0.720602 0.213557
Subject 8 0.827083 0.0501899
Subject 9 0.6875 0.187197

Traditional framework with moderate deviation 1 and Lukasiewicz intervals 4 classes classification (best full task md1)

Accuracy Mean Std
Subject 1 0.651736 0.0319954
Subject 2 0.622222 0.0348039
Subject 3 0.630903 0.0351324
Subject 4 0.632986 0.0420474
Subject 5 0.636921 0.0290625
Subject 6 0.63588 0.0427339
Subject 7 0.621412 0.030168
Subject 8 0.65463 0.0400175
Subject 9 0.635532 0.0252991

Multimodal Fuzzy Fusion framework with moderate deviation 2 and Lukasiewicz intervals 4 classes classification (best full task md2)

Accuracy Mean Std
Subject 1 0.705556 0.0317695
Subject 2 0.701852 0.031507
Subject 3 0.684375 0.0307468
Subject 4 0.675 0.0408051
Subject 5 0.678356 0.0299987
Subject 6 0.714352 0.0271969
Subject 7 0.686574 0.027354
Subject 8 0.705787 0.0294164
Subject 9 0.697106 0.030799