We evaluate the meta-learning system by looking at the quality of the response produced by the method selected by this system, where, as done in Section 4, quality is measured using F-score and precision.
here we employ 5-fold crossvalidation (instead of 10-fold) to ensure that we get a good spread of selected methods in each testing split.