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I think (and my weighting experiment with Gilgalad seems to back this up) that the attributes used in the classification algorithms are far more important than the weights (although there is still the cluster size, the shape of the function, and the data decay). Since most of the recent top bots use kNN and most of them, I assume, have similar attributes, I suspect that the difference in strength between these bots is actually the "frameworks" not the classification systems. Also, I agree with voidious that most people who play robocode like to make everything. I could have used rednaxela's kd-tree, but making my own is fun. It's not like we are on a deadline and need to get things done quickly. If you enjoy playing with classification schemes, I think you would enjoy making your own framework.