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http://ssrn.com/abstract=1906005
 
 

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Effect of Interaction Terms on Recursive Partitioning Techniques (Recursive Partitioning, Unbiased Conditional Inference Trees, Random Forest): Some Experiments with the Icreater Functions


Dhruv Sharma


Independent

August 6, 2011


Abstract:     
The idea of generating and searching for interactions and transformations is implemented in R. The icreater function adds log, sqrt, and negative reciprocal transformations suggested by Tukey and then the data set with these transformation is used to generate NXN interactions and this final data set is fed into recursive partitioning, conditional inference trees and random forests. This approach is tested for 3 credit data sets: German, Brazillian credit card data set and home equity data set. Adding transformed interaction terms improves predictive accuracy in 2 out of the 3 data sets. So it is shown to work sometimes.

Number of Pages in PDF File: 28

Keywords: transformations, interaction terms, recursive partitioning, conditional inference trees, random forests

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Date posted: August 7, 2011 ; Last revised: September 12, 2011

Suggested Citation

Sharma, Dhruv, Effect of Interaction Terms on Recursive Partitioning Techniques (Recursive Partitioning, Unbiased Conditional Inference Trees, Random Forest): Some Experiments with the Icreater Functions (August 6, 2011). Available at SSRN: http://ssrn.com/abstract=1906005 or http://dx.doi.org/10.2139/ssrn.1906005

Contact Information

Dhruv Sharma (Contact Author)
Independent ( email )
2023 N. Cleveland St.
Arlington, VA 22201
United States
HOME PAGE: http://theinterdisciplinarian.com/
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