On Tue 14-Nov-2017 at 10:44:09 +0100, Poughon Victor <[email protected]> 
wrote: 
> Hi Preethi,
>
> What is a "variable importance plot"?

This is a quantity computed during training in order to rank features by 
usefulness in the classification. OpenCV can compute it [1], but OTB's 
MachineLearningModel does not expose it.

Jordi

[1] 
https://docs.opencv.org/2.4/modules/ml/doc/random_trees.html#cvrtrees-getvarimportance

> Thanks,
>
> Victor Poughon
> --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
> De : [email protected] [[email protected]] de la part de 
> preet.balaji20 [[email protected]]
> Envoyé : mercredi 8 novembre 2017 13:10
> À : otb-users
> Objet : [otb-users] Generate variable importance plot from random forests 
> classifier
>
> Hi all,
>
> Is there a way to generate variable importance plot in otb? The 
> otbcli_TrainImagesClassifier for random forests has these options
> -classifier.rf.max
> -classifier.rf.min
> -classifier. rf.ra
> -classifier.rf.cat
> -classifier.rf.var
> -classifier.rf.nbtrees
> -classifier.rf.acc
>
> How do I specify an option to compute the variable importance plot from rf 
> classifier here?
>
> Thanks a million!
>
> Regards
> Preethi
>
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