Classification is done by means of a linear Support Vector Machine (SVM) as we have already shown in Hettinger et al. (2015) that it works best in this setting (see also Yu 2008). In each experiment we apply 100 iterations of 10-fold cross validations to account for the small data sets. The depicted results are the average over 1000 classification accuracy values. We want to investigate the following subgenre constellations: