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Table 2:
Classification Error of Experiments with the BCI Competition IVa Data Set.
NormSubject aaSubject alSubject avSubject awSubject ayAverage Time (seconds)
Overlapped trace norm 0.2205 (0.0139) 0.0178 (0.0) 0.3244 (0.0132) 0.0603 (0.0071) 0.1254 (0.0190) 17,986 (1489) 
Scaled overlapped trace norm 0.2295 (0.0270) 0.0018 (0.0056) 0.3235 (0.0160) 0.1022 (0.0192) 0.2532 (0.0312) 18,118 (1608) 
Latent trace norm 0.3107 (0.0210) 0.0339 (0.0056) 0.3735 (0.0218) 0.1549 (0.0381) 0.4008 (0.0) 20,021 (14024) 
Scaled latent trace norm 0.2080 (0.0043) 0.0179 (0.0) 0.3694 (0.0182) 0.0804 (0.0) 0.1980 (0.0476) 77,123 (149024) 
Mode-1 0.3205 (0.0174) 0.0339 (0.0056) 0.3739 (0.0211) 0.1450 (0.0070) 0.4020 (0.0038) 5,737 (3238) 
Mode-2 0.2035 (0.0124) 0.0285 (0.0225) 0.3653 (0.0186) 0.0790 (0.0042) 0.1794 (0.0025) 5,195 (1446) 
Mode-3 0.2035 (0.0124) 0.0285 (0.0225) 0.3653 (0.0186) 0.0790 (0.0042) 0.1794 (0.0025) 5,223 (1452) 
Mode-wise CV 0.2080 (0.0369) 0.0428 (0.0305) 0.3545 (0.0125) 0.1008 (0.0227) 0.1452 (0.0224) 14,473 (4142) 
Averaged matrix 0.2732 (0.0286) 0.0178 (0.0) 0.4030 (0.2487) 0.1366 (0.0056) 0.1825 (0.0) 1,936 (472) 
Logistic regression (l20.3161 (0.0075) 0.0179 (0.0) 0.3684 (0.0537) 0.2241 (0.0432) 0.4040 (0.0640) 72 (62) 
NormSubject aaSubject alSubject avSubject awSubject ayAverage Time (seconds)
Overlapped trace norm 0.2205 (0.0139) 0.0178 (0.0) 0.3244 (0.0132) 0.0603 (0.0071) 0.1254 (0.0190) 17,986 (1489) 
Scaled overlapped trace norm 0.2295 (0.0270) 0.0018 (0.0056) 0.3235 (0.0160) 0.1022 (0.0192) 0.2532 (0.0312) 18,118 (1608) 
Latent trace norm 0.3107 (0.0210) 0.0339 (0.0056) 0.3735 (0.0218) 0.1549 (0.0381) 0.4008 (0.0) 20,021 (14024) 
Scaled latent trace norm 0.2080 (0.0043) 0.0179 (0.0) 0.3694 (0.0182) 0.0804 (0.0) 0.1980 (0.0476) 77,123 (149024) 
Mode-1 0.3205 (0.0174) 0.0339 (0.0056) 0.3739 (0.0211) 0.1450 (0.0070) 0.4020 (0.0038) 5,737 (3238) 
Mode-2 0.2035 (0.0124) 0.0285 (0.0225) 0.3653 (0.0186) 0.0790 (0.0042) 0.1794 (0.0025) 5,195 (1446) 
Mode-3 0.2035 (0.0124) 0.0285 (0.0225) 0.3653 (0.0186) 0.0790 (0.0042) 0.1794 (0.0025) 5,223 (1452) 
Mode-wise CV 0.2080 (0.0369) 0.0428 (0.0305) 0.3545 (0.0125) 0.1008 (0.0227) 0.1452 (0.0224) 14,473 (4142) 
Averaged matrix 0.2732 (0.0286) 0.0178 (0.0) 0.4030 (0.2487) 0.1366 (0.0056) 0.1825 (0.0) 1,936 (472) 
Logistic regression (l20.3161 (0.0075) 0.0179 (0.0) 0.3684 (0.0537) 0.2241 (0.0432) 0.4040 (0.0640) 72 (62) 

Note: The bold numbers in columns aa, al, av, aw, and ay indicate comparable accuracies among classifiers after a t-test with a significance of 0.05.

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