On Tue, Nov 12, 2013 at 04:44:49PM +0100, Juan Chacon wrote:
> I just updated to V0.14 and when im trying to make cross validation using
> mean_squared_error, i got negative values...
It is the negated mean squared error, as it should be 'bigger is better'.
Team: should we just call that thing 'n
Gabriel,
as I already said you're using a classifier for a regression problem.
Please read the doc.
Maybe :
http://scikit-learn.org/stable/tutorial/statistical_inference/supervised_learning.html
this help.
hint : replace LDA by sklearn.linear_model.Ridge for example.
HTH
Alex
On Sat, Nov 9,
Hey guys
I just updated to V0.14 and when im trying to make cross validation using
mean_squared_error, i got negative values...
I checked the metrics.py file, and the file seems to be correct, but
somehow, a negative value jumps into the final result when using
sklearn.cross_validation.cross_val