Hi, all, I am wondering what the sample size of the bootstrap samples are in the RandomForestClassifier/Regressor (if bootstrap=True, default setting). From the documentation
http://scikit-learn.org/stable/modules/generated/sklearn.ensemble.RandomForestClassifier.html#sklearn.ensemble.RandomForestClassifier: > [...] that fits a number of decision tree classifiers on various sub-samples > of the dataset and http://scikit-learn.org/stable/modules/ensemble.html#random-forests: > [...] each tree in the ensemble is built from a sample drawn with replacement > (i.e., a bootstrap sample) from the training set. Is the sample size of the bootstrap sample equal to the "original" sample size in the training set? If not, can it be controlled somehow? Maybe a short note could be added to the documentation for clarity. Best, Sebastian ------------------------------------------------------------------------------ Don't Limit Your Business. Reach for the Cloud. GigeNET's Cloud Solutions provide you with the tools and support that you need to offload your IT needs and focus on growing your business. Configured For All Businesses. Start Your Cloud Today. https://www.gigenetcloud.com/ _______________________________________________ Scikit-learn-general mailing list Scikit-learn-general@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
