USU - Stat Studio: Workshop Series  /

USU - Stat Studio: Workshop - Random Forests

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Category: Methods and Measures

Description: This workshop will demonstrate the use of Random Forests as a method to arrive at the strongest and most parsimonious set of predictor variables. Although a limitation of Random Forests is interpretability of effects, methods for using the results of Random Forests as a guide in other modeling approaches will be presented.

License: CC0 1.0 Universal

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Random Forests: Classification & Regression Trees RSVP for all sessions at: Stat Studio on Eventbrite 2017, September 22nd 10:00-noon, EDUC 454 by Sarah Schwartz 2017, March 17th 1:00-3:00pm, EDUC 454, by Sarah Schwartz It is common in statistical modeling to have far more predictor variables available than will be included in a final model (especially when including combinations of variables...

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