Tree pruning is currently not supported in sklearn.
On Sun, Aug 30, 2015 at 6:44 AM, Rex X <dnsr...@gmail.com> wrote:
> Tree pruning process is very important to get a better decision tree.
>
> One idea is to recursively remove the leaf node which cause least hurt to
> the decision tree.
>
> Any idea how to do this for the following sample case?
>
>
> import pandas as pd
>> from sklearn.datasets import load_iris
>> from sklearn import tree
>> import sklearn
>>
>> iris = sklearn.datasets.load_iris()
>> clf = tree.DecisionTreeClassifier(class_weight={0 : 0.30, 1: 0.3, 2:0.4},
>> max_features="auto")
>> clf.fit(iris.data, iris.target)
>>
>
>
> ------------------------------------------------------------------------------
>
> _______________________________________________
> Scikit-learn-general mailing list
> Scikit-learn-general@lists.sourceforge.net
> https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
>
>
------------------------------------------------------------------------------
_______________________________________________
Scikit-learn-general mailing list
Scikit-learn-general@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
