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From Kenneth Chan <kenn...@apache.org>
Subject Re: Getting the probability values in the random forest classification template of PredictionIO
Date Sat, 08 Jul 2017 08:23:52 GMT
see here
https://spark.apache.org/docs/latest/mllib-ensembles.html#prediction

you can ask in Apache Spark's mailing list too.

On Fri, Jun 30, 2017 at 4:09 AM, Pat Ferrel <pat@occamsmachete.com> wrote:

> You probably should ask on PredictionIO mailing list.
>
> Signup here: http://predictionio.incubator.apache.org/support/
>
>
> On Jun 29, 2017, at 10:33 PM, rbagri72@gmail.com wrote:
>
> Hey,
> We are using the classification template
> <https://github.com/apache/incubator-predictionio-template-attribute-based-classifier>
> of PredictionIO (algorithm modified to random forest instead of Naive
> Bayes'). We wanted to ask how is the random forest classifying a test
> input: By the number of votes each tree give or the mean of the probability
> of each label in each tree)? Also, can we extract the mean probability of
> each class for a particular input so that we can get an idea of how is the
> strength of the prediction? And does this probability value reflect the
> absolute tendency of the input to belong to the said class?
>
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