Grouped Feature Importance and Combined Features Effect Plot

Grouped Feature Importance and Combined Features Effect Plot

23 April 2021

Giuseppe Casalicchio

Papers citing "Grouped Feature Importance and Combined Features Effect Plot"

18 / 18 papers shown

Title
shapr: Explaining Machine Learning Models with Conditional Shapley Values in R and Python Martin Jullum Lars Henry Berge Olsen Jon Lachmann Annabelle Redelmeier TDI FAtt 109 2 0 02 Apr 2025
Unifying Feature-Based Explanations with Functional ANOVA and Cooperative Game Theory Fabian Fumagalli Maximilian Muschalik Eyke Hüllermeier Barbara Hammer J. Herbinger FAtt 111 2 0 22 Dec 2024
The Shapley Value of coalition of variables provides better explanations Salim I. Amoukou Nicolas Brunel Tangi Salaun FAtt TDI 27 5 0 24 Mar 2021
Human-interpretable model explainability on high-dimensional data Damien de Mijolla Christopher Frye M. Kunesch J. Mansir Ilya Feige FAtt 25 9 0 14 Oct 2020
General Pitfalls of Model-Agnostic Interpretation Methods for Machine Learning Models Christoph Molnar Gunnar Konig J. Herbinger Timo Freiesleben Susanne Dandl Christian A. Scholbeck Giuseppe Casalicchio Moritz Grosse-Wentrup B. Bischl FAtt AI4CE 53 136 0 08 Jul 2020
Efficient nonparametric statistical inference on population feature importance using Shapley values B. Williamson Jean Feng FAtt 31 71 0 16 Jun 2020
Model-agnostic Feature Importance and Effects with Dependent Features -- A Conditional Subgroup Approach Christoph Molnar Gunnar Konig B. Bischl Giuseppe Casalicchio 57 78 0 08 Jun 2020
Sampling, Intervention, Prediction, Aggregation: A Generalized Framework for Model-Agnostic Interpretations Christian A. Scholbeck Christoph Molnar C. Heumann B. Bischl Giuseppe Casalicchio 32 27 0 08 Apr 2019
Testing Conditional Independence in Supervised Learning Algorithms David S. Watson Marvin N. Wright CML 40 53 0 28 Jan 2019
Structured nonlinear variable selection Magda Gregorova Alexandros Kalousis Stéphane Marchand-Maillet CML 30 9 0 16 May 2018
Visualizing the Feature Importance for Black Box Models Giuseppe Casalicchio Christoph Molnar B. Bischl FAtt 31 182 0 18 Apr 2018
Consistent Individualized Feature Attribution for Tree Ensembles Scott M. Lundberg G. Erion Su-In Lee FAtt TDI 50 1,379 0 12 Feb 2018
A Unified Approach to Interpreting Model Predictions Scott M. Lundberg Su-In Lee FAtt 446 21,459 0 22 May 2017
The Mythos of Model Interpretability Zachary Chase Lipton FaML 110 3,672 0 10 Jun 2016
Distribution-Free Predictive Inference For Regression Jing Lei M. G'Sell Alessandro Rinaldo Robert Tibshirani Larry A. Wasserman 179 831 0 14 Apr 2016
Kernel-based Tests for Joint Independence Niklas Pfister Peter Buhlmann Bernhard Schölkopf J. Peters 41 184 0 01 Mar 2016
A note on the group lasso and a sparse group lasso J. Friedman Trevor Hastie Robert Tibshirani 146 836 0 05 Jan 2010
Supervised Feature Selection via Dependence Estimation Le Song Alex Smola Arthur Gretton Karsten Borgwardt J. Bedő 347 387 0 20 Apr 2007