[scikit-learn] Small suggestion for documentation
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 [email protected] https://mail.python.org/mailman/listinfo/scikit-learn
Re: [scikit-learn] Small suggestion for documentation
Hi Gaël, > Em terça-feira, 7 de agosto de 2018 15:24:00 BRT, Gael Varoquaux escreveu: > > > I think that the vocabulary mismatch comes from the fact that you are > looking at these terms thinking about in sample statistics, while they are > used here in the context of prediction. I think that in the context of > prediction, these are the right terms. Actually, I was looking at the terms in the context of curve fitting, which is based in statistics, of course... Fellype ___ scikit-learn mailing list [email protected] https://mail.python.org/mailman/listinfo/scikit-learn
