fig4_efficiency_data.csv

dataset,model,finetuned_balanced_accuracy,cft_data_points,status,zs_data_points,efficiency_ratio,scaling_type
BI2015a,ATCNet,0.8159090909090909,5.0,unmatched_cft_is_better,,inf,subject
BI2015a,ATCNet,0.8143939393939394,10.0,unmatched_cft_is_better,,inf,subject
BI2015a,ATCNet,0.8262345679012346,15.0,unmatched_cft_is_better,,inf,subject
BI2015a,ATCNet,0.8306451612903226,20.0,unmatched_cft_is_better,,inf,subject
BI2015a,ATCNet,0.8276515151515151,25.0,unmatched_cft_is_better,,inf,subject
BI2015a,ATCNet,0.829047619047619,30.0,unmatched_cft_is_better,,inf,subject
BI2015a,ATCNet,0.8392473118279571,35.0,unmatched_cft_is_better,,inf,subject
BI2015a,DeepConvNet,0.8142857142857143,5.0,unmatched_cft_is_better,,inf,subject
BI2015a,DeepConvNet,0.8307407407407408,10.0,unmatched_cft_is_better,,inf,subject
BI2015a,DeepConvNet,0.8359848484848484,15.0,unmatched_cft_is_better,,inf,subject
BI2015a,DeepConvNet,0.8414414414414415,20.0,unmatched_cft_is_better,,inf,subject
BI2015a,DeepConvNet,0.8457142857142856,25.0,unmatched_cft_is_better,,inf,subject
BI2015a,DeepConvNet,0.8404761904761905,30.0,unmatched_cft_is_better,,inf,subject
BI2015a,DeepConvNet,0.839047619047619,35.0,unmatched_cft_is_better,,inf,subject
BI2015a,EEGNetv4,0.8111111111111111,5.0,unmatched_cft_is_better,,inf,subject
BI2015a,EEGNetv4,0.8120370370370371,10.0,unmatched_cft_is_better,,inf,subject
BI2015a,EEGNetv4,0.8214814814814815,15.0,unmatched_cft_is_better,,inf,subject
BI2015a,EEGNetv4,0.8264705882352941,20.0,unmatched_cft_is_better,,inf,subject
BI2015a,EEGNetv4,0.8185606060606061,25.0,unmatched_cft_is_better,,inf,subject
BI2015a,EEGNetv4,0.819047619047619,30.0,unmatched_cft_is_better,,inf,subject
BI2015a,EEGNetv4,0.8223809523809524,35.0,unmatched_cft_is_better,,inf,subject
BI2015a,ShallowConvNet,0.7106060606060606,5.0,unmatched_cft_is_better,,inf,subject
BI2015a,ShallowConvNet,0.7353174603174604,10.0,unmatched_cft_is_better,,inf,subject
BI2015a,ShallowConvNet,0.7492592592592593,15.0,unmatched_cft_is_better,,inf,subject
BI2015a,ShallowConvNet,0.7579545454545454,20.0,unmatched_cft_is_better,,inf,subject
BI2015a,ShallowConvNet,0.7595238095238095,25.0,unmatched_cft_is_better,,inf,subject
BI2015a,ShallowConvNet,0.7725225225225225,30.0,unmatched_cft_is_better,,inf,subject
BI2015a,ShallowConvNet,0.7666666666666666,35.0,unmatched_cft_is_better,,inf,subject
BNCI2014_001,ATCNet,0.670138888888889,2.0,unmatched_cft_is_better,,inf,subject
BNCI2014_001,ATCNet,0.7395833333333333,4.0,unmatched_cft_is_better,,inf,subject
BNCI2014_001,ATCNet,0.795138888888889,7.0,unmatched_cft_is_better,,inf,subject
BNCI2014_001,DeepConvNet,0.5815972222222222,4.0,unmatched_cft_is_better,,inf,subject
BNCI2014_001,DeepConvNet,0.7430555555555555,7.0,unmatched_cft_is_better,,inf,subject
BNCI2014_001,EEGNetv4,0.6006944444444444,2.0,unmatched_cft_is_better,,inf,subject
BNCI2014_001,EEGNetv4,0.7048611111111112,4.0,unmatched_cft_is_better,,inf,subject
BNCI2014_001,EEGNetv4,0.7795138888888888,7.0,unmatched_cft_is_better,,inf,subject
BNCI2014_001,ShallowConvNet,0.5989583333333334,2.0,unmatched_cft_is_better,,inf,subject
BNCI2014_001,ShallowConvNet,0.671875,4.0,unmatched_cft_is_better,,inf,subject
BNCI2014_001,ShallowConvNet,0.7135416666666666,7.0,unmatched_cft_is_better,,inf,subject
Huebner2017,ATCNet,0.9649591201597154,3.0,unmatched_cft_is_better,,inf,subject
Huebner2017,ATCNet,0.9707835315979524,7.0,unmatched_cft_is_better,,inf,subject
Huebner2017,ATCNet,0.971827345215078,10.0,unmatched_cft_is_better,,inf,subject
Huebner2017,DeepConvNet,0.9594514660920116,3.0,unmatched_cft_is_better,,inf,subject
Huebner2017,DeepConvNet,0.9565391179539866,7.0,unmatched_cft_is_better,,inf,subject
Huebner2017,DeepConvNet,0.9584977349263426,10.0,unmatched_cft_is_better,,inf,subject
Huebner2017,EEGNetv4,0.9632037186447232,3.0,unmatched_cft_is_better,,inf,subject
Huebner2017,EEGNetv4,0.9644375473468788,7.0,unmatched_cft_is_better,,inf,subject
Huebner2017,EEGNetv4,0.9647683024794554,10.0,unmatched_cft_is_better,,inf,subject
Huebner2017,ShallowConvNet,0.9515279514166508,3.0,unmatched_cft_is_better,,inf,subject
Huebner2017,ShallowConvNet,0.956716476479096,7.0,unmatched_cft_is_better,,inf,subject
Huebner2017,ShallowConvNet,0.9602023236111716,10.0,unmatched_cft_is_better,,inf,subject
Huebner2018,ATCNet,0.9277981976295981,3.0,unmatched_cft_is_better,,inf,subject
Huebner2018,ATCNet,0.9316297880508351,6.0,unmatched_cft_is_better,,inf,subject
Huebner2018,ATCNet,0.9334440776050099,9.0,unmatched_cft_is_better,,inf,subject
Huebner2018,DeepConvNet,0.9198826504912799,3.0,unmatched_cft_is_better,,inf,subject
Huebner2018,DeepConvNet,0.9190736483796,6.0,unmatched_cft_is_better,,inf,subject
Huebner2018,DeepConvNet,0.9201549743652397,9.0,unmatched_cft_is_better,,inf,subject
Huebner2018,EEGNetv4,0.9177383915532121,3.0,unmatched_cft_is_better,,inf,subject
Huebner2018,EEGNetv4,0.9233824489777438,6.0,unmatched_cft_is_better,,inf,subject
Huebner2018,EEGNetv4,0.926991135524426,9.0,unmatched_cft_is_better,,inf,subject
Huebner2018,ShallowConvNet,0.9067014286561348,3.0,unmatched_cft_is_better,,inf,subject
Huebner2018,ShallowConvNet,0.9138099682032563,6.0,unmatched_cft_is_better,,inf,subject
Huebner2018,ShallowConvNet,0.9155785373195964,9.0,unmatched_cft_is_better,,inf,subject
Kalunga2016,ATCNet,0.54296875,9.0,unmatched_cft_is_better,,inf,subject
Kalunga2016,DeepConvNet,0.25,3.0,matched,3.0,1.0,subject
Kalunga2016,DeepConvNet,0.2578125,6.0,matched,3.0,2.0,subject
Kalunga2016,DeepConvNet,0.296875,9.0,unmatched_cft_is_better,,inf,subject
Kalunga2016,EEGNetv4,0.25,3.0,matched,3.0,1.0,subject
Kalunga2016,EEGNetv4,0.4140625,9.0,unmatched_cft_is_better,,inf,subject
Kalunga2016,ShallowConvNet,0.4765625,6.0,unmatched_cft_is_better,,inf,subject
Kalunga2016,ShallowConvNet,0.45703125,9.0,unmatched_cft_is_better,,inf,subject
Lee2019_MI,ATCNet,0.6875,5.0,matched,15.0,0.3333333333333333,subject
Lee2019_MI,ATCNet,0.715,10.0,matched,20.0,0.5,subject
Lee2019_MI,ATCNet,0.745,15.0,matched,35.0,0.42857142857142855,subject
Lee2019_MI,ATCNet,0.7649999999999999,20.0,matched,30.0,0.6666666666666666,subject
Lee2019_MI,ATCNet,0.7775000000000001,25.0,unmatched_cft_is_better,,inf,subject
Lee2019_MI,ATCNet,0.7775000000000001,30.0,unmatched_cft_is_better,,inf,subject
Lee2019_MI,ATCNet,0.7975,35.0,unmatched_cft_is_better,,inf,subject
Lee2019_MI,ATCNet,0.8049999999999999,40.0,unmatched_cft_is_better,,inf,subject
Lee2019_MI,DeepConvNet,0.7,10.0,matched,15.0,0.6666666666666666,subject
Lee2019_MI,DeepConvNet,0.7625,15.0,matched,25.0,0.6,subject
Lee2019_MI,DeepConvNet,0.7975,20.0,matched,35.0,0.5714285714285714,subject
Lee2019_MI,DeepConvNet,0.8125,25.0,unmatched_cft_is_better,,inf,subject
Lee2019_MI,DeepConvNet,0.8375,30.0,unmatched_cft_is_better,,inf,subject
Lee2019_MI,DeepConvNet,0.8625,35.0,unmatched_cft_is_better,,inf,subject
Lee2019_MI,DeepConvNet,0.8600000000000001,40.0,unmatched_cft_is_better,,inf,subject
Lee2019_MI,EEGNetv4,0.7050000000000001,10.0,matched,15.0,0.6666666666666666,subject
Lee2019_MI,EEGNetv4,0.75,15.0,matched,40.0,0.375,subject
Lee2019_MI,EEGNetv4,0.765,20.0,matched,35.0,0.5714285714285714,subject
Lee2019_MI,EEGNetv4,0.78,25.0,unmatched_cft_is_better,,inf,subject
Lee2019_MI,EEGNetv4,0.7975,30.0,unmatched_cft_is_better,,inf,subject
Lee2019_MI,EEGNetv4,0.815,35.0,unmatched_cft_is_better,,inf,subject
Lee2019_MI,EEGNetv4,0.8125,40.0,unmatched_cft_is_better,,inf,subject
Lee2019_MI,ShallowConvNet,0.6675,5.0,matched,15.0,0.3333333333333333,subject
Lee2019_MI,ShallowConvNet,0.69,10.0,matched,20.0,0.5,subject
Lee2019_MI,ShallowConvNet,0.74,20.0,matched,35.0,0.5714285714285714,subject
Lee2019_MI,ShallowConvNet,0.7424999999999999,25.0,matched,35.0,0.7142857142857143,subject
Lee2019_MI,ShallowConvNet,0.7775,30.0,matched,40.0,0.75,subject
Lee2019_MI,ShallowConvNet,0.7875000000000001,35.0,unmatched_cft_is_better,,inf,subject
Lee2019_MI,ShallowConvNet,0.7949999999999999,40.0,unmatched_cft_is_better,,inf,subject
Lee2019_SSVEP,ATCNet,0.9624999999999999,5.0,matched,15.0,0.3333333333333333,subject
Lee2019_SSVEP,ATCNet,0.9724999999999999,10.0,matched,30.0,0.3333333333333333,subject
Lee2019_SSVEP,ATCNet,0.975,15.0,matched,30.0,0.5,subject
Lee2019_SSVEP,ATCNet,0.98,20.0,matched,35.0,0.5714285714285714,subject
Lee2019_SSVEP,ATCNet,0.985,25.0,matched,35.0,0.7142857142857143,subject
Lee2019_SSVEP,ATCNet,0.985,30.0,matched,35.0,0.8571428571428571,subject
Lee2019_SSVEP,ATCNet,0.9875,35.0,matched,35.0,1.0,subject
Lee2019_SSVEP,ATCNet,0.9875,40.0,matched,35.0,1.1428571428571428,subject
Lee2019_SSVEP,DeepConvNet,0.96,5.0,matched,10.0,0.5,subject
Lee2019_SSVEP,DeepConvNet,0.975,10.0,matched,15.0,0.6666666666666666,subject
Lee2019_SSVEP,DeepConvNet,0.985,15.0,matched,20.0,0.75,subject
Lee2019_SSVEP,DeepConvNet,0.9924999999999999,20.0,matched,25.0,0.8,subject
Lee2019_SSVEP,DeepConvNet,0.99,25.0,matched,25.0,1.0,subject
Lee2019_SSVEP,DeepConvNet,0.995,30.0,matched,25.0,1.2,subject
Lee2019_SSVEP,DeepConvNet,0.995,35.0,matched,25.0,1.4,subject
Lee2019_SSVEP,DeepConvNet,0.9924999999999999,40.0,matched,25.0,1.6,subject
Lee2019_SSVEP,EEGNetv4,0.9724999999999999,5.0,matched,15.0,0.3333333333333333,subject
Lee2019_SSVEP,EEGNetv4,0.9824999999999999,10.0,matched,25.0,0.4,subject
Lee2019_SSVEP,EEGNetv4,0.985,15.0,matched,25.0,0.6,subject
Lee2019_SSVEP,EEGNetv4,0.9875,20.0,matched,25.0,0.8,subject
Lee2019_SSVEP,EEGNetv4,0.985,25.0,matched,25.0,1.0,subject
Lee2019_SSVEP,EEGNetv4,0.985,30.0,matched,25.0,1.2,subject
Lee2019_SSVEP,EEGNetv4,0.9875,35.0,matched,25.0,1.4,subject
Lee2019_SSVEP,EEGNetv4,0.9824999999999999,40.0,matched,25.0,1.6,subject
Lee2019_SSVEP,ShallowConvNet,0.78,5.0,matched,10.0,0.5,subject
Lee2019_SSVEP,ShallowConvNet,0.9125000000000001,10.0,matched,25.0,0.4,subject
Lee2019_SSVEP,ShallowConvNet,0.92,15.0,matched,25.0,0.6,subject
Lee2019_SSVEP,ShallowConvNet,0.955,20.0,matched,40.0,0.5,subject
Lee2019_SSVEP,ShallowConvNet,0.9624999999999999,25.0,unmatched_cft_is_better,,inf,subject
Lee2019_SSVEP,ShallowConvNet,0.965,30.0,unmatched_cft_is_better,,inf,subject
Lee2019_SSVEP,ShallowConvNet,0.965,35.0,unmatched_cft_is_better,,inf,subject
Lee2019_SSVEP,ShallowConvNet,0.97,40.0,unmatched_cft_is_better,,inf,subject
MAMEM2,ATCNet,0.1946666666666666,3.0,matched,5.0,0.6,subject
MAMEM2,ATCNet,0.22866666666666666,5.0,matched,3.0,1.6666666666666667,subject
MAMEM2,ATCNet,0.20566666666666666,8.0,matched,8.0,1.0,subject
MAMEM2,DeepConvNet,0.1983333333333333,3.0,matched,8.0,0.375,subject
MAMEM2,DeepConvNet,0.194,5.0,matched,5.0,1.0,subject
MAMEM2,EEGNetv4,0.16999999999999998,3.0,matched,3.0,1.0,subject
MAMEM2,EEGNetv4,0.1956666666666666,5.0,matched,8.0,0.625,subject
MAMEM2,EEGNetv4,0.212,8.0,unmatched_cft_is_better,,inf,subject
MAMEM2,ShallowConvNet,0.1993333333333333,3.0,matched,5.0,0.6,subject
MAMEM2,ShallowConvNet,0.2113333333333333,5.0,matched,5.0,1.0,subject
Yang2025,ATCNet,0.7716666666666667,5.0,unmatched_cft_is_better,,inf,subject
Yang2025,ATCNet,0.8,10.0,unmatched_cft_is_better,,inf,subject
Yang2025,ATCNet,0.8133333333333334,15.0,unmatched_cft_is_better,,inf,subject
Yang2025,ATCNet,0.8166666666666667,20.0,unmatched_cft_is_better,,inf,subject
Yang2025,ATCNet,0.8133333333333334,25.0,unmatched_cft_is_better,,inf,subject
Yang2025,ATCNet,0.8200000000000001,30.0,unmatched_cft_is_better,,inf,subject
Yang2025,ATCNet,0.8083333333333333,35.0,unmatched_cft_is_better,,inf,subject
Yang2025,ATCNet,0.8215496098104794,40.0,unmatched_cft_is_better,,inf,subject
Yang2025,DeepConvNet,0.8816666666666666,5.0,matched,30.0,0.16666666666666666,subject
Yang2025,DeepConvNet,0.895,10.0,matched,35.0,0.2857142857142857,subject
Yang2025,DeepConvNet,0.905,15.0,unmatched_cft_is_better,,inf,subject
Yang2025,DeepConvNet,0.9183333333333332,20.0,unmatched_cft_is_better,,inf,subject
Yang2025,DeepConvNet,0.9166666666666669,25.0,unmatched_cft_is_better,,inf,subject
Yang2025,DeepConvNet,0.9316666666666666,30.0,unmatched_cft_is_better,,inf,subject
Yang2025,DeepConvNet,0.925,35.0,unmatched_cft_is_better,,inf,subject
Yang2025,DeepConvNet,0.9233333333333332,40.0,unmatched_cft_is_better,,inf,subject
Yang2025,EEGNetv4,0.8533333333333333,5.0,unmatched_cft_is_better,,inf,subject
Yang2025,EEGNetv4,0.8616666666666666,10.0,unmatched_cft_is_better,,inf,subject
Yang2025,EEGNetv4,0.875,15.0,unmatched_cft_is_better,,inf,subject
Yang2025,EEGNetv4,0.8733333333333333,20.0,unmatched_cft_is_better,,inf,subject
Yang2025,EEGNetv4,0.875,25.0,unmatched_cft_is_better,,inf,subject
Yang2025,EEGNetv4,0.8933333333333333,30.0,unmatched_cft_is_better,,inf,subject
Yang2025,EEGNetv4,0.9033333333333332,35.0,unmatched_cft_is_better,,inf,subject
Yang2025,EEGNetv4,0.895,40.0,unmatched_cft_is_better,,inf,subject
Yang2025,ShallowConvNet,0.845,5.0,matched,40.0,0.125,subject
Yang2025,ShallowConvNet,0.86,10.0,matched,35.0,0.2857142857142857,subject
Yang2025,ShallowConvNet,0.865,15.0,matched,35.0,0.42857142857142855,subject
Yang2025,ShallowConvNet,0.8683333333333334,20.0,unmatched_cft_is_better,,inf,subject
Yang2025,ShallowConvNet,0.8866666666666667,25.0,unmatched_cft_is_better,,inf,subject
Yang2025,ShallowConvNet,0.885,30.0,unmatched_cft_is_better,,inf,subject
Yang2025,ShallowConvNet,0.8983333333333333,35.0,unmatched_cft_is_better,,inf,subject
Yang2025,ShallowConvNet,0.905,40.0,unmatched_cft_is_better,,inf,subject
BI2015a,ATCNet,0.7816326530612245,50.0,unmatched_cft_is_better,,inf,trial
BI2015a,ATCNet,0.8228395061728395,250.0,unmatched_cft_is_better,,inf,trial
BI2015a,ATCNet,0.8263440860215054,500.0,unmatched_cft_is_better,,inf,trial
BI2015a,ATCNet,0.8295454545454546,750.0,unmatched_cft_is_better,,inf,trial
BI2015a,ATCNet,0.8296921921921921,1044.0,unmatched_cft_is_better,,inf,trial
BI2015a,DeepConvNet,0.7529166666666667,50.0,unmatched_cft_is_better,,inf,trial
BI2015a,DeepConvNet,0.8049242424242424,250.0,unmatched_cft_is_better,,inf,trial
BI2015a,DeepConvNet,0.8144144144144144,500.0,unmatched_cft_is_better,,inf,trial
BI2015a,DeepConvNet,0.8306306306306306,750.0,unmatched_cft_is_better,,inf,trial
BI2015a,DeepConvNet,0.8378016273849607,1044.0,unmatched_cft_is_better,,inf,trial
BI2015a,EEGNetv4,0.8130630630630631,50.0,unmatched_cft_is_better,,inf,trial
BI2015a,EEGNetv4,0.8204545454545455,250.0,unmatched_cft_is_better,,inf,trial
BI2015a,EEGNetv4,0.8193548387096774,500.0,unmatched_cft_is_better,,inf,trial
BI2015a,EEGNetv4,0.8181818181818182,750.0,unmatched_cft_is_better,,inf,trial
BI2015a,EEGNetv4,0.8172706797706798,1044.0,unmatched_cft_is_better,,inf,trial
BI2015a,ShallowConvNet,0.6216216216216216,50.0,matched,250.0,0.2,trial
BI2015a,ShallowConvNet,0.69,250.0,unmatched_cft_is_better,,inf,trial
BI2015a,ShallowConvNet,0.7123015873015873,500.0,unmatched_cft_is_better,,inf,trial
BI2015a,ShallowConvNet,0.7317460317460318,750.0,unmatched_cft_is_better,,inf,trial
BI2015a,ShallowConvNet,0.7536653297682709,1044.0,unmatched_cft_is_better,,inf,trial
BNCI2014_001,ATCNet,0.625,50.0,unmatched_cft_is_better,,inf,trial
BNCI2014_001,ATCNet,0.671875,150.0,unmatched_cft_is_better,,inf,trial
BNCI2014_001,ATCNet,0.7378472222222222,300.0,unmatched_cft_is_better,,inf,trial
BNCI2014_001,ATCNet,0.7222222222222223,450.0,unmatched_cft_is_better,,inf,trial
BNCI2014_001,DeepConvNet,0.3125,50.0,matched,300.0,0.16666666666666666,trial
BNCI2014_001,DeepConvNet,0.3680555555555555,150.0,unmatched_cft_is_better,,inf,trial
BNCI2014_001,DeepConvNet,0.4739583333333333,300.0,unmatched_cft_is_better,,inf,trial
BNCI2014_001,DeepConvNet,0.5190972222222222,450.0,unmatched_cft_is_better,,inf,trial
BNCI2014_001,EEGNetv4,0.5190972222222222,50.0,unmatched_cft_is_better,,inf,trial
BNCI2014_001,EEGNetv4,0.6076388888888888,150.0,unmatched_cft_is_better,,inf,trial
BNCI2014_001,EEGNetv4,0.6788194444444445,300.0,unmatched_cft_is_better,,inf,trial
BNCI2014_001,EEGNetv4,0.671875,450.0,unmatched_cft_is_better,,inf,trial
BNCI2014_001,ShallowConvNet,0.578125,50.0,unmatched_cft_is_better,,inf,trial
BNCI2014_001,ShallowConvNet,0.6006944444444444,150.0,unmatched_cft_is_better,,inf,trial
BNCI2014_001,ShallowConvNet,0.6597222222222222,300.0,unmatched_cft_is_better,,inf,trial
BNCI2014_001,ShallowConvNet,0.6597222222222221,450.0,unmatched_cft_is_better,,inf,trial
Huebner2017,ATCNet,0.9637500040385244,2000.0,unmatched_cft_is_better,,inf,trial
Huebner2017,ATCNet,0.968888353111333,4500.0,unmatched_cft_is_better,,inf,trial
Huebner2017,ATCNet,0.9663447558954376,7000.0,unmatched_cft_is_better,,inf,trial
Huebner2017,ATCNet,0.9680243678602792,9500.0,unmatched_cft_is_better,,inf,trial
Huebner2017,DeepConvNet,0.9575183591314264,2000.0,unmatched_cft_is_better,,inf,trial
Huebner2017,DeepConvNet,0.9594896638009298,4500.0,unmatched_cft_is_better,,inf,trial
Huebner2017,DeepConvNet,0.958396098731688,7000.0,unmatched_cft_is_better,,inf,trial
Huebner2017,DeepConvNet,0.9627965421078082,9500.0,unmatched_cft_is_better,,inf,trial
Huebner2017,EEGNetv4,0.9648071835571836,2000.0,unmatched_cft_is_better,,inf,trial
Huebner2017,EEGNetv4,0.9648445218685372,4500.0,unmatched_cft_is_better,,inf,trial
Huebner2017,EEGNetv4,0.9649208758613969,7000.0,unmatched_cft_is_better,,inf,trial
Huebner2017,EEGNetv4,0.9649208758613969,9500.0,unmatched_cft_is_better,,inf,trial
Huebner2017,ShallowConvNet,0.949251313598266,2000.0,unmatched_cft_is_better,,inf,trial
Huebner2017,ShallowConvNet,0.9548975587928368,4500.0,unmatched_cft_is_better,,inf,trial
Huebner2017,ShallowConvNet,0.954122641136099,7000.0,unmatched_cft_is_better,,inf,trial
Huebner2017,ShallowConvNet,0.9567173981574356,9500.0,unmatched_cft_is_better,,inf,trial
Huebner2018,ATCNet,0.9268961502907491,3000.0,unmatched_cft_is_better,,inf,trial
Huebner2018,ATCNet,0.9291972974331035,6000.0,unmatched_cft_is_better,,inf,trial
Huebner2018,ATCNet,0.931761393688693,9000.0,unmatched_cft_is_better,,inf,trial
Huebner2018,ATCNet,0.9325568411421461,12000.0,unmatched_cft_is_better,,inf,trial
Huebner2018,DeepConvNet,0.9167607376697327,3000.0,unmatched_cft_is_better,,inf,trial
Huebner2018,DeepConvNet,0.9211795189468812,6000.0,unmatched_cft_is_better,,inf,trial
Huebner2018,DeepConvNet,0.9237721590390002,9000.0,unmatched_cft_is_better,,inf,trial
Huebner2018,DeepConvNet,0.9238524319411857,12000.0,unmatched_cft_is_better,,inf,trial
Huebner2018,EEGNetv4,0.919287276111104,3000.0,unmatched_cft_is_better,,inf,trial
Huebner2018,EEGNetv4,0.9219601576435136,6000.0,unmatched_cft_is_better,,inf,trial
Huebner2018,EEGNetv4,0.9243010752755807,9000.0,unmatched_cft_is_better,,inf,trial
Huebner2018,EEGNetv4,0.9250566054248283,12000.0,unmatched_cft_is_better,,inf,trial
Huebner2018,ShallowConvNet,0.9026034558882978,3000.0,unmatched_cft_is_better,,inf,trial
Huebner2018,ShallowConvNet,0.9084928286446282,6000.0,unmatched_cft_is_better,,inf,trial
Huebner2018,ShallowConvNet,0.9123791136874696,9000.0,unmatched_cft_is_better,,inf,trial
Huebner2018,ShallowConvNet,0.9116464731177332,12000.0,unmatched_cft_is_better,,inf,trial
Kalunga2016,ATCNet,0.4296875,40.0,matched,50.0,0.8,trial
Kalunga2016,ATCNet,0.46875,50.0,unmatched_cft_is_better,,inf,trial
Kalunga2016,ATCNet,0.484375,64.0,unmatched_cft_is_better,,inf,trial
Kalunga2016,DeepConvNet,0.28125,30.0,matched,30.0,1.0,trial
Kalunga2016,DeepConvNet,0.296875,40.0,unmatched_cft_is_better,,inf,trial
Kalunga2016,DeepConvNet,0.28125,50.0,matched,30.0,1.6666666666666667,trial
Kalunga2016,DeepConvNet,0.296875,64.0,unmatched_cft_is_better,,inf,trial
Kalunga2016,EEGNetv4,0.2640625,30.0,matched,50.0,0.6,trial
Kalunga2016,EEGNetv4,0.359375,64.0,unmatched_cft_is_better,,inf,trial
Kalunga2016,ShallowConvNet,0.4296875,30.0,unmatched_cft_is_better,,inf,trial
Kalunga2016,ShallowConvNet,0.453125,40.0,unmatched_cft_is_better,,inf,trial
Kalunga2016,ShallowConvNet,0.4375,50.0,unmatched_cft_is_better,,inf,trial
Kalunga2016,ShallowConvNet,0.4140625,64.0,unmatched_cft_is_better,,inf,trial
Lee2019_MI,ATCNet,0.7475,100.0,unmatched_cft_is_better,,inf,trial
Lee2019_MI,ATCNet,0.7475,150.0,unmatched_cft_is_better,,inf,trial
Lee2019_MI,DeepConvNet,0.7849999999999999,100.0,unmatched_cft_is_better,,inf,trial
Lee2019_MI,DeepConvNet,0.7849999999999999,150.0,unmatched_cft_is_better,,inf,trial
Lee2019_MI,EEGNetv4,0.745,100.0,matched,150.0,0.6666666666666666,trial
Lee2019_MI,EEGNetv4,0.7725,150.0,unmatched_cft_is_better,,inf,trial
Lee2019_MI,ShallowConvNet,0.72,100.0,matched,150.0,0.6666666666666666,trial
Lee2019_MI,ShallowConvNet,0.75,150.0,unmatched_cft_is_better,,inf,trial
Lee2019_SSVEP,ATCNet,0.975,50.0,matched,150.0,0.3333333333333333,trial
Lee2019_SSVEP,ATCNet,0.985,100.0,matched,150.0,0.6666666666666666,trial
Lee2019_SSVEP,ATCNet,0.985,150.0,matched,150.0,1.0,trial
Lee2019_SSVEP,ATCNet,0.985,200.0,matched,150.0,1.3333333333333333,trial
Lee2019_SSVEP,DeepConvNet,0.985,50.0,matched,100.0,0.5,trial
Lee2019_SSVEP,DeepConvNet,0.99,100.0,matched,200.0,0.5,trial
Lee2019_SSVEP,DeepConvNet,0.9924999999999999,150.0,matched,200.0,0.75,trial
Lee2019_SSVEP,DeepConvNet,0.9924999999999999,200.0,matched,200.0,1.0,trial
Lee2019_SSVEP,EEGNetv4,0.985,50.0,matched,200.0,0.25,trial
Lee2019_SSVEP,EEGNetv4,0.985,100.0,matched,200.0,0.5,trial
Lee2019_SSVEP,EEGNetv4,0.9875,150.0,unmatched_cft_is_better,,inf,trial
Lee2019_SSVEP,EEGNetv4,0.985,200.0,matched,200.0,1.0,trial
Lee2019_SSVEP,ShallowConvNet,0.9225000000000001,100.0,matched,200.0,0.5,trial
Lee2019_SSVEP,ShallowConvNet,0.9475,150.0,unmatched_cft_is_better,,inf,trial
Lee2019_SSVEP,ShallowConvNet,0.965,200.0,unmatched_cft_is_better,,inf,trial
MAMEM2,ATCNet,0.2123333333333333,40.0,matched,80.0,0.5,trial
MAMEM2,ATCNet,0.22266666666666665,60.0,unmatched_cft_is_better,,inf,trial
MAMEM2,ATCNet,0.2146666666666666,80.0,matched,80.0,1.0,trial
MAMEM2,DeepConvNet,0.1913333333333333,40.0,matched,60.0,0.6666666666666666,trial
MAMEM2,DeepConvNet,0.1983333333333333,60.0,matched,80.0,0.75,trial
MAMEM2,DeepConvNet,0.19699999999999995,80.0,matched,80.0,1.0,trial
MAMEM2,EEGNetv4,0.2033333333333333,40.0,matched,40.0,1.0,trial
MAMEM2,EEGNetv4,0.19266666666666665,60.0,matched,60.0,1.0,trial
MAMEM2,EEGNetv4,0.1973333333333333,80.0,matched,40.0,2.0,trial
MAMEM2,ShallowConvNet,0.21833333333333324,40.0,unmatched_cft_is_better,,inf,trial
MAMEM2,ShallowConvNet,0.21100000000000002,60.0,matched,80.0,0.75,trial
MAMEM2,ShallowConvNet,0.203,80.0,matched,40.0,2.0,trial
Yang2025,ATCNet,0.72958751393534,50.0,matched,600.0,0.08333333333333333,trial
Yang2025,ATCNet,0.7749999999999999,150.0,unmatched_cft_is_better,,inf,trial
Yang2025,ATCNet,0.79,300.0,unmatched_cft_is_better,,inf,trial
Yang2025,ATCNet,0.81,450.0,unmatched_cft_is_better,,inf,trial
Yang2025,ATCNet,0.8208333333333333,600.0,unmatched_cft_is_better,,inf,trial
Yang2025,DeepConvNet,0.8816666666666666,50.0,matched,600.0,0.08333333333333333,trial
Yang2025,DeepConvNet,0.8816666666666667,150.0,matched,600.0,0.25,trial
Yang2025,DeepConvNet,0.9083333333333334,300.0,unmatched_cft_is_better,,inf,trial
Yang2025,DeepConvNet,0.9133333333333332,450.0,unmatched_cft_is_better,,inf,trial
Yang2025,DeepConvNet,0.9166666666666667,600.0,unmatched_cft_is_better,,inf,trial
Yang2025,EEGNetv4,0.86,50.0,unmatched_cft_is_better,,inf,trial
Yang2025,EEGNetv4,0.8516666666666667,150.0,unmatched_cft_is_better,,inf,trial
Yang2025,EEGNetv4,0.8733333333333333,300.0,unmatched_cft_is_better,,inf,trial
Yang2025,EEGNetv4,0.8883333333333334,450.0,unmatched_cft_is_better,,inf,trial
Yang2025,EEGNetv4,0.8983333333333333,600.0,unmatched_cft_is_better,,inf,trial
Yang2025,ShallowConvNet,0.81,50.0,matched,300.0,0.16666666666666666,trial
Yang2025,ShallowConvNet,0.8516666666666667,150.0,unmatched_cft_is_better,,inf,trial
Yang2025,ShallowConvNet,0.88,300.0,unmatched_cft_is_better,,inf,trial
Yang2025,ShallowConvNet,0.89,450.0,unmatched_cft_is_better,,inf,trial
Yang2025,ShallowConvNet,0.8916666666666666,600.0,unmatched_cft_is_better,,inf,trial