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I have seen several references, but am looking for something easy to follow that illustrates Random Forests in regression and feature importance applications.

I want to make sure that I explain this at the 101 level. Something like this, but more pictorial like this pdf.

I am having a hard time getting across a concrete high-level example of how predictors are being chosen and making them tangable to a general audience.

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"A Gentle Introduction to Random Forests, Ensembles, and Performance Metrics in a Commercial System", http://citizennet.com/blog/2012/11/10/random-forests-ensembles-and-performance-metrics/

"Machine Learning" [Utube]http://www.youtube.com/watch?v=3kYujfDgmNk

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