predict does not work with a crossvalidated tree?

4 次查看（过去 30 天）
Tania
Tania 2014-8-1
评论： Tania 2014-8-1
Hey, I am trying to do the following: rtree = RegressionTree.fit(X,Y,'crossval','on'); pred = predict(rtree,X)
But unfortunately I get a error message.
Does anyone know what I can use instead of pred?
Thank you!

请先登录，再回答此问题。

采纳的回答

Shashank Prasanna
When you use the 'crossval' 'on' flag you get a partitioned model as an output. You can predict from this model using
kfoldpredict
http://www.mathworks.com/help/stats/classificationpartitionedmodel.kfoldpredict.html
  1 个评论
Tania
Tania 2014-8-1
Great, it worked!:) Do you know maybe also the other to this question: What is the difference between 'control depth' and 'pruning' in the 'improving classification and regression trees' documentation:
http://www.mathworks.de/de/help/stats/classification-trees-and-regression-trees.html#bsw6a96
I dont understand why they do both...?!?Both are trying to find the optimal depth through cross validation...
Thanks!

请先登录，再进行评论。

更多回答（0 个）

类别

在 Help Center 和 File Exchange 中查找有关 Gaussian Process Regression 的更多信息

标签

产品

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by