Record · corpus.blog/posts/01a0874e-bcbd-72dc-a5b5-66c752851b1a

Discovering Interaction Effects in Ensemble Models

blog.macuyiko.com · published 22 February 2019

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https://arxiv.org/pdf/0811.1679.pdf

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https://www.stat.berkeley.edu/~breiman/randomforest2001.pdf

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http://explained.ai/rf-importance/index.html

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https://eli5.readthedocs.io/en/latest/index.html

eli5.readthedocs.io

http://scikit-learn.org/stable/modules/generated/sklearn.model_selection.permutation_test_score.html

scikit-learn.org

https://github.com/scikit-learn/scikit-learn/issues/11187

github.com

https://christophm.github.io/interpretable-ml-book/feature-importance.html

christophm.github.io

https://cran.r-project.org/web/packages/Boruta/index.html

cran.r-project.org

https://medium.com/airbnb-engineering/unboxing-the-random-forest-classifier-the-threshold-distributions-22ea2bb58ea6

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https://en.wikipedia.org/wiki/Ceteris_paribus

en.wikipedia.org

http://forestfloor.dk/

forestfloor.dk

https://arxiv.org/abs/1605.09196

arxiv.org

https://cran.r-project.org/web/packages/pdp/pdp.pdf

cran.r-project.org

https://christophm.github.io/interpretable-ml-book/interaction.html

christophm.github.io

https://github.com/christophM/iml/blob/master/R/Interaction.R

github.com

https://www.rdocumentation.org/packages/gbm/versions/2.1.4/topics/interact.gbm

rdocumentation.org

https://github.com/marjoleinF/pre/blob/master/R/pre.R

github.com

https://pypi.org/project/sklearn-gbmi/

pypi.org

https://koalaverse.github.io/vip/reference/vint.html

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https://christophm.github.io/interpretable-ml-book/rulefit.html

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https://github.com/scikit-learn-contrib/skope-rules

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