Classification performance for all BCI conditions.

For explanation of the various conditions see the Methods section. Classification (%) refers to the binary classification score on the artifact free dataset, i.e. the correct classification of individual subtrials. Target score (%) is the same but only considering target subtrials. The difference between these is possibly due to unbalanced training set. Max. selection is the maximum selection score reached for each subject, 70% Thresh. refers to the minimum number of iterations needed for averaging to obtain a 70% selection score. Max. ITR (70%) is the maximum ITR reached when considering only those numbers of averaging that resulted in a 70% selection score or higher. Max. ITR (90%) is the equivalent with only selection scores above 90%. Number in parentheses in Max. selection, Max. ITR (70%) and Max. ITR (90%) indicate the number of averages needed for the result. Bold numbers indicate the best result per subject over the three conditions. For most subjects, ITR values are highest for condition C175. See Figure 10 for results from more averaging steps and the corresponding ITR. See the Analysis subsection for definitions of classification- and selection score.