Dear maintainers,I've just known scikit-learn and found it very useful.
Congratulations for this library.
I found some confuse terms to describe r2_score parameters in documentation
[1]. For me, the meanings of y_true and y_pred are not clear. From [1]:-
y_true: ... Ground truth (correct) target values- y_pred: ... Estimated target
values
Since the R^2 value is usually used to compare the behavior of experimental
data (observed) with a theoretical model or standard data (expected), I guess
that it would be better to change the description of y_true and y_pred to
something like:- y_true: ... Observed (or measured) target values- y_pred: ...
Expected (or theoretical) target values
I also think that the same should be done in documentation of other
scikit-learn functions that use the y_true and y_pred terms with the same
meaning.
Thanks for your attention and best wishes.
Fellype
[1]
http://scikit-learn.org/stable/modules/generated/sklearn.metrics.r2_score.html
_______________________________________________
scikit-learn mailing list
scikit-learn@python.org
https://mail.python.org/mailman/listinfo/scikit-learn
