Author: Michal Sapinski Preprocessing: All channels were downsampled to 25Hz. Features used: Mean values of selected channels in some periods of time, mean power of selected frequency intervals for selected channels. These features were constructed by hand with help of visualization of differences for the given classes. Classification: Few logistic regression classifiers that seemed to give quite similar results on the test set but used different features.