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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 rea
by aaronjg 14y ago
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!
- mturmon 14y agoThe high accuracy surprised me too. To compute their accuracy, their methodology seems to require determining whether someone is a veteran user, and having a clear quit time for them (otherwise the user can't be used for training or testing). Maybe after you make these determinations, the resulting population is easier to deal with.