*3.5. Accuracy Assessment*

The accuracy score of the created classifier and the mean score from the cross-validation procedure were compared to assess the general performance of the classifier. This comparison was only for understanding the robustness of the initial classifier. Normally, large differences are expected, leading to the conclusion that the initial set of parameters for each classifier (among other factors such as split ratio, amount of total data, and/or number of input features) should be adjusted.
