Hi, Have you tried to set numpy.set_printoptions(precision=8) ? Maybe that helps already. Best, Sebastian
Sent from my iPhone > On Apr 13, 2017, at 1:54 PM, Suranga Kasthurirathne <suranga...@gmail.com> > wrote: > > > Hi all, > > I'm using scikit-learn to build a number of random forrest models using the > default number of trees. > > However, when I print out the prediction probability > (http://scikit-learn.org/stable/modules/generated/sklearn.ensemble.RandomForestClassifier.html#sklearn.ensemble.RandomForestClassifier.predict_proba) > for each outcome, its presented to me as a single decimal point (0.1, 0.2, > 0.5 etc.). Only perhaps 5% of the data has more than a single decimal point. > > Is this normal behavior? is there some way I can increase the number of > decimal points in the prediction probability outcomes? why arent I seeing > more probabilities such as 0.231, 0.55551, 0.462156 etc.? > > > -- > Thanks and best Regards, > Suranga > _______________________________________________ > scikit-learn mailing list > scikit-learn@python.org > https://mail.python.org/mailman/listinfo/scikit-learn
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