Can you share the dataset via a gist or something and we can take a look at what's going on?
On Fri, Jul 25, 2014 at 10:51 AM, SK <skrishna...@gmail.com> wrote: > yes, the output is continuous. So I used a threshold to get binary labels. > If prediction < threshold, then class is 0 else 1. I use this binary label > to then compute the accuracy. Even with this binary transformation, the > accuracy with decision tree model is low compared to LR or SVM (for the > specific dataset I used). > > > > -- > View this message in context: > http://apache-spark-user-list.1001560.n3.nabble.com/Decision-tree-classifier-in-MLlib-tp9457p10678.html > Sent from the Apache Spark User List mailing list archive at Nabble.com. >
