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)