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.


Demšar, Jaka, and Zoran Bosnić. 2018. “Detecting Concept Drift in Data Streams Using Model Explanation.” Expert Systems with Applications 92 (February): 546–59.

Greenwell, Brandon M. 2017c. “pdp: An R Package for Constructing Partial Dependence Plots.” The R Journal 9 (1): 421–36.

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

Sitko, Agnieszka, Aleksandra Grudziąż, and Przemyslaw Biecek. 2018. FactorMerger: The Merging Path Plot.

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.

Strobl, Carolin, Anne-Laure Boulesteix, Thomas Kneib, Thomas Augustin, and Achim Zeileis. 2008. “Conditional Variable Importance for Random Forests.” BMC Bioinformatics 9 (1): 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.