Hi Andy,
Yes, it is regression, so that explains it.
Here is the script and data that produced the output:
https://dl.dropbox.com/u/74279156/accuracy.zip
Thanks,
Zach
On 13 August 2012 16:21, Andreas Mueller wrote:
> Hi Zach.
> If this is related to your previous problems, let me just
> answe
Hi Zach.
If this is related to your previous problems, let me just
answer 1: the values depend on what error score is used.
If your problem is a regression problem, the standard score is r2,
which can become negative.
That the CV values vary so much is really a bit odd.
Could you post a gist with
Changing the cv parameter (number of iterations) in cross_val_score()
really changes the returned scores. Increasing the CV doesn't
neccessarily mean that the returned scores stabalise. Instead, they get
worse, and only get better later. I have included the output of
increasing the CV below.
M
