Chapter 22 Merging Path Plots and Others

(Demšar and Bosnić 2018)

(Greenwell 2017c) (Puri et al. 2017)

(Sitko, Grudziąż, and Biecek 2018)

(Strobl et al. 2007) (Strobl et al. 2008) - variable importance

(Fisher, Rudin, and Dominici 2018)

Beware Default Random Forest Importances

Terence Parr, Kerem Turgutlu, Christopher Csiszar, and Jeremy Howard March 26, 2018.

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

References

Demšar, Jaka, and Zoran Bosnić. 2018. “Detecting Concept Drift in Data Streams Using Model Explanation.” Expert Systems with Applications 92 (February): 546–59. https://doi.org/10.1016/j.eswa.2017.10.003.

Greenwell, Brandon M. 2017c. “pdp: An R Package for Constructing Partial Dependence Plots.” The R Journal 9 (1): 421–36. https://journal.r-project.org/archive/2017/RJ-2017-016/index.html.

Puri, Nikaash, Piyush Gupta, Pratiksha Agarwal, Sukriti Verma, and Balaji Krishnamurthy. 2017. “MAGIX: Model Agnostic Globally Interpretable Explanations.” CoRR abs/1706.07160. http://arxiv.org/abs/1706.07160.

Sitko, Agnieszka, Aleksandra Grudziąż, and Przemyslaw Biecek. 2018. FactorMerger: The Merging Path Plot. https://CRAN.R-project.org/package=factorMerger.

Strobl, Carolin, Anne-Laure Boulesteix, Achim Zeileis, and Torsten Hothorn. 2007. “Bias in Random Forest Variable Importance Measures: Illustrations, Sources and a Solution.” BMC Bioinformatics 8 (1): 25. https://doi.org/10.1186/1471-2105-8-25.

Strobl, Carolin, Anne-Laure Boulesteix, Thomas Kneib, Thomas Augustin, and Achim Zeileis. 2008. “Conditional Variable Importance for Random Forests.” BMC Bioinformatics 9 (1): 307. https://doi.org/10.1186/1471-2105-9-307.

Fisher, A., C. Rudin, and F. Dominici. 2018. “Model Class Reliance: Variable Importance Measures for any Machine Learning Model Class, from the ‘Rashomon’ Perspective.” ArXiv E-Prints, January.