Hi Pranav,
You should increase the number of trees. By default, it is set to 10,
which would explain why you don't reach higher precision.
Best,
Gilles
On 3 June 2014 07:32, Pranav O. Sharma emailpra...@gmail.com wrote:
Hi,
I'm trying to use
Thanks a lot. With 100 trees, I'm getting double digit precision now. Is
that the max you can get with 100 trees?
predicted by rf...
[[ 0.42 0.58]
[ 0.64 0.36]
[ 0.39 0.61]
[ 0.39 0.61]
[ 0.54 0.46]
[ 0.58 0.42]
[ 0.71 0.29]
[ 0.25 0.75]
[ 0.68 0.32]
[ 0.41 0.59]
[ 0.38 0.62]
If your trees are fully developped (which is the case by default),
then class probabilities represent
the proportion of trees predicting the given class. So yes, with 100
trees, precision is limited to 2 digits.
On 3 June 2014 08:29, Pranav O. Sharma emailpra...@gmail.com wrote:
Thanks a lot.
I am the author of that branch. Please let me know if there is anything I
can do to help merge when it comes to be that time.
Thanks
zach
On Mon, Jun 2, 2014 at 7:14 AM, Olivier Grisel olivier.gri...@ensta.org
wrote:
2014-06-02 9:25 GMT+02:00 Lars Buitinck larsm...@gmail.com:
2014-06-02
I can no longer compile the changes since I'm now working on a Windows box
(cygwin) and haven't figured out how to configure it correctly. I resorted
to asking the mailing list to make the change (or an option to toggle the
feature) since I'm out of options until I figure out how to start building
