iRF: extracting interactions from random forests

R C++ C Submitted 04 October 2018Published 05 December 2018
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Editor: @arokem (all papers)
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Authors

Sumanta Basu, Karl Kumbier, James B. Brown, Bin Yu

Citation

Basu et al., (2018). iRF: extracting interactions from random forests. Journal of Open Source Software, 3(32), 1077, https://doi.org/10.21105/joss.01077

@article{Basu2018, doi = {10.21105/joss.01077}, url = {https://doi.org/10.21105/joss.01077}, year = {2018}, publisher = {The Open Journal}, volume = {3}, number = {32}, pages = {1077}, author = {Sumanta Basu and Karl Kumbier and James B. Brown and Bin Yu}, title = {iRF: extracting interactions from random forests}, journal = {Journal of Open Source Software} }
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Random Forests Interpretable machine learning

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ISSN 2475-9066