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mturmon on Dec 18, 2012 | parent | context | favorite | on: Top ten algorithms in data mining (2007) [pdf]

Crudely: combine the speed of classification trees with the generally low error rates (flexibility) of the SVM.

sgt101 on Dec 18, 2012 [–]

There is a good implementation in Mahout and it scales well on Hadoop, so its a pretty good out of the box whole data set learning algorithm.

No advantage over taking a decent statistically valid subset and running C4.5 (or a variant with floating point splits) apart from it's less work.

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