Hi everybody. My pull request for oob estimates got merge a couple of days ago. Now I noticed a behavior that I am not completely happy with. If the number of estimator in the ensemble is small (say 1) then the won't be a prediction for all of the samples. The way it is currently implemented, there will be NaNs in the prediction. It is possible to compute the oob accuracies for each estimator on it's own but that is not really what one wants, I guess.
Any ideas how to best handle this? I feel like this estimate only makes sense with n_estimators >> 5 but even then it is not impossible that one sample will never get left out and random NaNs might appear. Cheers, Andy ------------------------------------------------------------------------------ Keep Your Developer Skills Current with LearnDevNow! The most comprehensive online learning library for Microsoft developers is just $99.99! Visual Studio, SharePoint, SQL - plus HTML5, CSS3, MVC3, Metro Style Apps, more. Free future releases when you subscribe now! http://p.sf.net/sfu/learndevnow-d2d _______________________________________________ Scikit-learn-general mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
