{"action":"opened","issue":{"url":"https://api.github.com/repos/scikit-learn/scikit-learn/issues/4273","labels_url":"https://api.github.com/repos/scikit-learn/scikit-learn/issues/4273/labels{/name}","comments_url":"https://api.github.com/repos/scikit-learn/scikit-learn/issues/4273/comments","events_url":"https://api.github.com/repos/scikit-learn/scikit-learn/issues/4273/events","html_url":"https://github.com/scikit-learn/scikit-learn/issues/4273","id":58330846,"number":4273,"title":"ENH: oob trace for sklearn.ensemble classifiers","user":{"login":"kianho","id":783366,"avatar_url":"https://avatars.githubusercontent.com/u/783366?v=3","gravatar_id":"","url":"https://api.github.com/users/kianho","html_url":"https://github.com/kianho","followers_url":"https://api.github.com/users/kianho/followers","following_url":"https://api.github.com/users/kianho/following{/other_user}","gists_url":"https://api.github.com/users/kianho/gists{/gist_id}","starred_url":"https://api.github.com/users/kianho/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/kianho/subscriptions","organizations_url":"https://api.github.com/users/kianho/orgs","repos_url":"https://api.github.com/users/kianho/repos","events_url":"https://api.github.com/users/kianho/events{/privacy}","received_events_url":"https://api.github.com/users/kianho/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"milestone":null,"comments":0,"created_at":"2015-02-20T10:01:39Z","updated_at":"2015-02-20T10:01:39Z","closed_at":null,"body":"To the best of my knowledge, the tree-based ensemble classifiers don't maintain a record of the OOB scores during the training phase (correct me if I'm wrong).\r\n\r\nI would find this a useful feature since it would allow me to easily examine the number of trees (n_estimators) at which the OOB score stabilises e.g.\r\nhttp://scikit-learn.org/stable/auto_examples/ensemble/plot_adaboost_hastie_10_2.html\r\n\r\nRelated: this feature is activated in the [`randomForest` R package](cran.r-project.org/web/packages/randomForest/index.html) by setting `randomForest(..., do.trace=True,..)` when instantiating the classifier.\r\n\r\nThanks."}}