TABLE 1.
Individual classification performance of LF-CNN for 25 participants.
Subj. ID | Number of trials per class | Performance on original data |
Result of permutation test | ||
AUCval | AUCnaïve | AUCensemble | |||
101 | 104 | 0.67 ± 0.03 | 0.60 ± 0.10 | 0.61 ± 0.07 | |
102 | 133 | 0.73 ± 0.04 | 0.70 ± 0.05 | 0.72 ± 0.06 | |
103 | 110 | 0.67 ± 0.03 | 0.69 ± 0.06 | 0.69 ± 0.05 | |
104 | 123 | 0.62 ± 0.03 | 0.56 ± 0.07 | 0.56 ± 0.07 | |
106 | 119 | 0.64 ± 0.04 | 0.66 ± 0.06 | 0.63 ± 0.07 | |
107 | 141 | 0.66 ± 0.02 | 0.65 ± 0.04 | 0.66 ± 0.04 | |
108 | 100 | 0.63 ± 0.03 | 0.55 ± 0.08 | 0.53 ± 0.05 | – |
109 | 95 | 0.73 ± 0.04 | 0.78 ± 0.06 | 0.76 ± 0.07 | + |
110 | 150 | 0.72 ± 0.01 | 0.63 ± 0.08 | 0.63 ± 0.04 | |
113 | 97 | 0.62 ± 0.07 | 0.65 ± 0.06 | 0.64 ± 0.04 | |
114 | 129 | 0.71 ± 0.03 | 0.63 ± 0.08 | 0.67 ± 0.08 | |
115 | 101 | 0.69 ± 0.04 | 0.65 ± 0.10 | 0.65 ± 0.10 | |
202 | 205 | 0.72 ± 0.03 | 0.70 ± 0.04 | 0.73 ± 0.02 | + |
203 | 217 | 0.74 ± 0.03 | 0.76 ± 0.04 | 0.75 ± 0.04 | + |
204 | 124 | 0.69 ± 0.02 | 0.61 ± 0.06 | 0.65 ± 0.03 | |
213 | 111 | 0.69 ± 0.03 | 0.70 ± 0.07 | 0.69 ± 0.06 | |
214 | 70 | 0.62 ± 0.06 | 0.55 ± 0.13 | 0.55 ± 0.14 | – |
215 | 177 | 0.71 ± 0.02 | 0.70 ± 0.04 | 0.73 ± 0.06 | + |
216 | 81 | 0.56 ± 0.02 | 0.54 ± 0.13 | 0.52 ± 0.15 | – |
217 | 157 | 0.67 ± 0.03 | 0.65 ± 0.07 | 0.68 ± 0.09 | |
218 | 76 | 0.60 ± 0.05 | 0.57 ± 0.02 | 0.54 ± 0.07 | – |
221 | 196 | 0.72 ± 0.03 | 0.74 ± 0.03 | 0.76 ± 0.04 | + |
222 | 165 | 0.73 ± 0.04 | 0.69 ± 0.07 | 0.69 ± 0.04 | |
223 | 98 | 0.69 ± 0.02 | 0.73 ± 0.07 | 0.72 ± 0.08 | |
224 | 137 | 0.75 ± 0.04 | 0.71 ± 0.04 | 0.72 ± 0.04 | + |
M ± SD | 128 ± 38 | 0.67 ± 0.05 | 0.66 ± 0.07 | 0.66 ± 0.07 |
ROC AUCs computed for the test subsets on time interval –0.2 … 0.5 s using the naïve and ensemble testing procedures are denoted as AUCnaïve and AUCensemble, respectively. AUCval corresponds to mean AUC over cross-validation folds. All AUCs values are presented as M ± SD computed over cross-validation and test folds (for details see section “CNN Testing Algorithms”).
“+” denotes the participants with p < 0.05 on all testing folds (H0 hypothesis was always rejected, i.e., the difference from random performance was found for all folds) for both testing procedures.
“–” denotes the participants with p > 0.05 on all testing folds (H0 hypothesis was always accepted, i.e., the difference from random performance was not found for any fold) for both testing procedures.