Sergey Feldman writes:
> Hi Sergey,
I am having the exact same issue with my data set except its 80 dimensional
and I only have two classes where the classes are unbalanced about 5:1. I
am also using random forest in sklearn. Just curious how well did using
Manish's suggestion with sklea
Thanks, Manish! Exactly what I was looking for.
On Fri, Jul 12, 2013 at 4:52 PM, Manish Amde wrote:
> Hi Sergey,
>
> There is a sample_weights option (not very well documented) in the random
> forest classifier that might help. You might want to check out the SVC
> example to see the sample_we
Hi Sergey,
There is a sample_weights option (not very well documented) in the random
forest classifier that might help. You might want to check out the SVC example
to see the sample_weights format.
http://scikit-learn.org/stable/auto_examples/svm/plot_weighted_samples.html
You can provide diffe
I'm dealing with a 50-class classification problem with extremely
unbalanced classes. The smallest class has about 1000 samples and the
largest has 500,000. The random forest I've trained is being heavily
skewed towards the big classes.
Is there a good way to deal with this kind of problem in sk
