Hi Gilles,
On 23 May 2014 15:06, Gilles Louppe g.lou...@gmail.com wrote:
Hi Tim,
In principles, what you describe exactly corresponds to the decision tree
algorithm. You partition the input space into smaller subspaces, on which
you recursively build sub-decision trees.
Exactly. What I was
Hello,
a naive question about what I should do and what already exists in scikit-learn.
I have a classification problem with two classes, and I know that one
of my features has two different different distributions for one of
the classes.
Example made up on the spot (real life is more
Hi Tim,
In principles, what you describe exactly corresponds to the decision tree
algorithm. You partition the input space into smaller subspaces, on which
you recursively build sub-decision trees.
In practice however, I would not split things by hand, unless you are
interested in discovering
