<figure xmlns="http://www.tei-c.org/ns/1.0"><graphic url="192_final-11f8052ded778a6d73b03f25f30dadac.png" /><head>Figure 7: Classification of series and publisher within a genre (one-vs-rest scheme). Points of single observations are colored by the series publishers.</head></figure><lb xmlns="http://www.tei-c.org/ns/1.0" /><anchor xmlns="http://www.tei-c.org/ns/1.0" xml:id="id_docs-internal-guid-8a6f48aa-7fff-f616-b47e-9a47d9b730cb" /><hi xmlns="http://www.tei-c.org/ns/1.0" rend="color(#000000)">To explore this in more detail, we looked at those genres where the values for a randomized and a strict setup in figure 4 are markedly different, which we see as a sign of a heterogeneity of the genre which was masked in the random setup. In this experiment we classified each of these six genres, using different setups for the separation of training and test set in order to control for the confounding variables. For the love novels this shows for example, that separating cleanly between the authors didn‘t reduce the performance, while doing the same with the series results in a drastic drop (figure 7), showing again, that in this genre, the genre cohesion is quite low, while the publishers and even the series have distinctive features.</hi>