s 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).
>
>
>
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the
specific dataset I used).
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anks
>
>
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>
ision tree (rpart) and I am getting
100% accuracy. I would like to understand why the performance of MLLib's
decision tree model is poor and if there is some way I can improve it.
thanks
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