APM?

I was already doing better than ScalarBot, both with the old flattener and with no flattener at all, but yeah, adding the flattener gave a tremendous improvement.

Thanks for that information ;)

After a long time of experiment, I finally think the main difference from bots do good against PMs is not in the surfing algorithm... but the way surfing stats are handled. Maybe I should try some more traditional way before starting innovation... I've been already dropping old surfing stats (which uses 1-nn) since 0.012n1 (and finally got similar performance), now maybe I should start dropping crowd tree views ;) I use three simple views each with 3~5 attributes as main surfing stats now, maybe that's the reason why I got hit from PMs (and the top guns as well) badly.

I always thought strong APM was from lots of temporal attributes. It also makes sense that it would be from a small K size to prevent always dodging the same points and building repeated patterns.

I really tried to drop my trees and use a single one, but I really couldnt figure it out yet. I still use a bunch of trees, one is 1-nn and has higher weight and bigger decay, probably approximating the effect Druss' buffers have, which seems to work nice against PM.