Fig. 4

Boxplot of differences between performances achieved by tuned DNN and the rest algorithms measured using MCC as evaluation metric on the validation sets over the seven activity classes. Results are ranked by decreased mean differences. The differences ranged on average from 0.149 MCC units between DNN and NB, 0.092 DNN and kNN, 0.052 DNN and SVM with linear kernel, 0.021 DNN and RF and 0.009 DNN and SVM with “rbf” kernel