Borrar filtros
Borrar filtros

setting OOBPredictorImportance to 'on' or true generates error

10 visualizaciones (últimos 30 días)
Jon Whitney
Jon Whitney el 2 de Feb. de 2016
Comentada: Michael Garaszczuk el 18 de Nov. de 2017
I'm trying to use a random forest as a feature ranking tool, and the documentation for TreeBagger says that I should be able to turn on the OOBPredictorImportance by specifying it as a property, such as B = TreeBagger(50,training_set,training_labels,'FBoot',0.667, 'OOBPredictorImportance', 'on') but when I do I get the error: Invalid parameter name: OOBPredictorImportance. Am I missing something about specifying properties?

Respuestas (2)

Ilya el 2 de Feb. de 2016
You are likely using an older release of MATLAB. Refer to the doc for that release or type 'help TreeBagger.TreeBagger' to see parameter names. The old name for that parameter was 'oobpred'.

Hoi Yu Tang
Hoi Yu Tang el 6 de Jul. de 2017
I'm also getting this error, although I'm running 2017a and version 11.1 of the Statistics and Machine Learning Toolbox.
Rather confused!
(for what it's worth, the older argument 'oobpred' didn't work either)
  2 comentarios
Hoi Yu Tang
Hoi Yu Tang el 21 de Jul. de 2017
Turns out my problem was arising due to trying to pass tall arrays into TreeBagger, which creates a CompactTreeBagger class which does not support the OOb prectiction/error methods.
Documentation HERE
Michael Garaszczuk
Michael Garaszczuk el 18 de Nov. de 2017
What changes did you make to solve this?

Iniciar sesión para comentar.


Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by