Re: Get both feature importance and ROC curve from a random forest classifier

2016-07-06 Thread Mathieu D
erPR are available through >> BinaryClassificationEvaluator. >> >> The feature importance is only available in ml package, through >> RandomForestClassificationModel. >> >> Any idea to get both ? >> >> Mathieu >> >> >> >> -

Re: Get both feature importance and ROC curve from a random forest classifier

2016-07-02 Thread Yanbo Liang
rROC and areaUnderPR are available through > BinaryClassificationEvaluator. > > The feature importance is only available in ml package, through > RandomForestClassificationModel. > > Any idea to get both ? > > Mathieu > > > > -- > View this message in context: > htt

Get both feature importance and ROC curve from a random forest classifier

2016-06-15 Thread matd
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