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How Do I Reconstruct A Random Forest Output?

I am working on a classification problem. I have a set that has high AUC yet I am not sure how to uncover the cominatory rules that generated that specific output.

random classification
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updated by Shreyas • Shreyas • written by Eminencegrise Eminencegrise

I think we'll need more details to anser this. In particular, it should be a bioinformatics problem, not a general machine-learning problem; otherwise http://stats.stackexchange.com/ is a better forum.

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written by Neilfws Neilfws

I think we'll need more details to answer this. In particular, it should be a bioinformatics problem, not a general machine-learning problem; otherwise http://stats.stackexchange.com is a better forum.

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written by Neilfws Neilfws

2 answers

Khader's answer is a good pointer; I hadn't heard of that site, which focuses on machine learning, NLP, etc. See here, for example.

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updated by Ram Ram • written by David Quigley David Quigley

If you are using Random Forest in R try the varImpPlot function on your classifier object.

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written by Shreyas • Shreyas

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