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stander random forest and ensemble of Extremely randomized trees

bigrabbit — Sun, 28 Feb 2016 13:01:00 GMT

stander random forest: random K features, enum all values as split, find best split.

LINKS:https://en.wikipedia.org/wiki/Random_forest

Extremely randomized trees: random K features, random a split value, find best split.

ensemble Extremely randomized trees: use all data.

LINKS:http://docs.opencv.org/2.4/modules/ml/doc/ertrees.html

Extremely randomized trees don’t apply the bagging procedure to construct a set of the training samples for each tree. The same input training set is used to train all trees.
Extremely randomized trees pick a node split very extremely (both a variable index and variable splitting value are chosen randomly), whereas Random Forest finds the best split (optimal one by variable index and variable splitting value) among random subset of variables.

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LINKS:http://scikit-learn.org/stable/modules/generated/sklearn.tree.ExtraTreeRegressor.html#sklearn.tree.ExtraTreeRegressor

This class implements a meta estimator that fits a number of randomized decision trees (a.k.a. extra-trees) on various sub-samples of the dataset and use averaging to improve the predictive accuracy and control over-fitting.

Extra-trees differ from classic decision trees in the way they are built. When looking for the best split to separate the samples of a node into two groups, random splits are drawn for each of the max_features randomly selected features and the best split among those is chosen. When max_features is set 1, this amounts to building a totally random decision tree.

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bigrabbit 2016-02-28 21:01 发表评论

cocos2d-iphone基础(1)

bigrabbit — Thu, 15 May 2014 13:14:00 GMT

主要�c�：(x��)
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bigrabbit 2014-05-15 21:14 发表评论

bigrabbit — Wed, 24 Oct 2012 14:47:00 GMT

摘要: 阅读全文

bigrabbit 2012-10-24 22:47 发表评论

bigrabbit — Thu, 02 Aug 2012 07:36:00 GMT

摘要: 阅读全文

bigrabbit 2012-08-02 15:36 发表评论

backup之关于图的双联通，割点�Q�桥�Q�有向图��通等

bigrabbit — Tue, 31 Jul 2012 14:36:00 GMT

摘要: 阅读全文

bigrabbit 2012-07-31 22:36 发表评论

bigrabbit — Thu, 26 Jul 2012 04:14:00 GMT

摘要: 阅读全文

bigrabbit 2012-07-26 12:14 发表评论

UVA 10801 Lift Hopping

bigrabbit — Sun, 22 Jul 2012 15:43:00 GMT

摘要: UVA 10801 Lift Hopping 阅读全文

bigrabbit 2012-07-22 23:43 发表评论

uva10557 囄��杂题

bigrabbit — Fri, 13 Jul 2012 01:02:00 GMT

摘要: 阅读全文

bigrabbit 2012-07-13 09:02 发表评论

武大校赛�ȝ��

bigrabbit — Mon, 30 Apr 2012 08:30:00 GMT

摘要: 阅读全文

bigrabbit 2012-04-30 16:30 发表评论

bigrabbit — Sun, 22 Apr 2012 09:23:00 GMT

今天做了�ơCF�Q�两个小时比赛时间。。用一��时水了两题之后�Q�又用一个小时的龟速想了一个不知道什么玩意的玩意�Q�比赛没A掉，比赛�l�束�Q�掉了。�ؓ(f��)什么要想那么久呢。。。。。。水题也要想那么久。。。。。小�l�节处理不好。。。。�?br />不过话说CF的题目不错，不像�q�大中文OJ的无脑题
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bigrabbit 2012-04-22 17:23 发表评论

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stander random forest and ensemble of Extremely randomized trees

cocos2d-iphone基础(1)

backup之关于图的双联通，割点�Q�桥�Q�有向图�����通等

UVA 10801 Lift Hopping

uva10557 囄���杂题

武大校赛�ȝ��

backup之关于图的双联通，割点�Q�桥�Q�有向图��通等

uva10557 囄��杂题