Experimental results for different methods and time window lengths averaged over 5 test folds, in terms of overall accuracy .

Also, in the case of the non-deterministic methods, results are additionally averaged over 5 training runs per each cross-validation step. Bold font indicates methods with the highest accuracy in a given category. MLP – multilayer perception; FSH – feature selection with automatically configured hypothesis tests; GRU – Gated Recurrent Unit; FCN – fully convolutional network.