Hi all,
I am using random forest and extra trees importance.
I am wondering if there is any method to dial with correlated variables.
Suppose for example the R party package.
In page 30 of the documentation
http://cran.r-project.org/web/packages/party/party.pdf a measure of
'conditional
Totally true Josef but I guess that shoesize should not contain more
information than age.
I was hoping to do not classify it as relevant when age is in the model.
@Gilles
thanks a lot.
I was also reading you thesis.
My first impression is that while I think that max features = 1 is a very
good
On Sun, Apr 19, 2015 at 2:38 PM, Luca Puggini lucapug...@gmail.com wrote:
Totally true Josef but I guess that shoesize should not contain more
information than age.
I was hoping to do not classify it as relevant when age is in the model.
Semi-OT for the random forest question
I thought about
On Sun, Apr 19, 2015 at 10:05 AM, Gilles Louppe g.lou...@gmail.com wrote:
Hi Luca,
If you want to find all relevant features, I would recommend using
ExtraTreesClassifier with max_features=1 and limited depth in order to avoid
this kind of bias due to estimation errors. E.g., try with
Hi Luca,
If you want to find all relevant features, I would recommend using
ExtraTreesClassifier with max_features=1 and limited depth in order to
avoid this kind of bias due to estimation errors. E.g., try with
max_depth=3 to 5 or using max_leaf_nodes.
Hope this helps,
Gilles
On 19 April
