That's a really interesting approach. Basically mining a couple of key features from the data set, and plugging it into a supervised learning algorithm. The really cool thing is the simplicity of the features used, just daily activity and daily playtime.

The write up of the methodology is very clear, but I'd love to see some more description of the results. Ninety-five percent accuracy is a pretty bold claim, and I'd love to see some ROC curves to back it up!