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README.md
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* pre-pruning (max depth, min leaf size)
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* post-pruning (pessimistic pruning)
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* multi-threaded bagging (random forests)
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-* adaptive boosting (decision stumps), using SAMME (https://www.intlpress.com/site/pub/pages/journals/items/sii/content/vols/0002/0003/a008/)
+* adaptive boosting (decision stumps), using [SAMME](https://www.intlpress.com/site/pub/pages/journals/items/sii/content/vols/0002/0003/a008/)
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* cross validation (n-fold)
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* support for ordered features (encoded as `Real`s or `String`s)
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