treebagger random forest
显示 更早的评论
In the help file, it is stated that setting Setting 'NVarToSample' argument to any valid value but 'all' invokes Breiman's 'random forest' algorithm.
Is then, the ''OOBVarImp' will be based on GINI index as in the case of Breiman's random forest ?
How to view OOBVarImp information?
Sorry if my questions sounds dumb to you! i am dumb :)
采纳的回答
Ilya
2012-6-22
0 个投票
By setting 'OOBVarImp' to 'on', you fill OOBPermutedVarDeltaError, OOBPermutedVarDeltaMeanMargin, and OOBPermutedVarCountRaiseMargin properties of a TreeBagger object. Do 'help TreeBagger' to see a list of all properties and click on a property for a description. These three do not directly depend on the criterion used to find optimal decision splits (such as Gini). They represent three methods for computing predictor importance proposed by Breiman.
DeltaCritDecisionSplit property is always filled. It is computed by summing changes in the split criterion used to grow trees (such as Gini).
更多回答（0 个）
类别
在 帮助中心 和 File Exchange 中查找有关 Classification Ensembles 的更多信息
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!
Translated by 
