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When fitting black box supervised learning models (e.g., complex trees, neural networks, boosted trees, random forests, nearest neighbors, local kernel-weighted methods, etc.), visualizing the main effects of the individual predictor variables and their low-order interaction effects is often important, and partial dependence (PD) plots are the most popular approach for accomplishing this.
Pacific Grove, CA: Wadsworth & Brooks/Cole
Chambers, J. M. and Hastie, T. J. (1992) Statistical Models in S · 1992
Earlier work this paper cites.
Summit, NJ: Hobart Press
Cleveland, W. S. (1993) Visualizing Data · 1993
Earlier work this paper cites.
Annals of Statistics
Stone, C. J. (1994) The use of polynomial splines and their tensor products in multivariate function estimation · 1994
Earlier work this paper cites.
Statistica Sinica
Cook, D. R. (1995) Graphics for studying the net effects of regression predictors · 1995
Earlier work this paper cites.
Ph.D. thesis, Stanford University
Roosen, C. B. (1995) Visualization and Exploration of High-Dimensional Functions Using the Functional Anova Decomposition · 1995
Earlier work this paper cites.
Annals of Statistics
Friedman, J. H. (2001) Greedy function approximation: A gradient boosting machine · 2001
Cited alongside, same era.
New York: Springer
Venables, W. N. and Ripley, B. D. (2002) Modern Applied Statistics with S. Fourth Edition · 2002
Cited alongside, same era.
Journal of Computational and Graphical Statistics
Hooker, G. (2007) Generalized functional anova diagnostics for high dimensional functions of dependent variables · 2007
Cited alongside, same era.
New York: Springer
Hastie, T., T. R. and Friedman, J. (2009) The elements of statistical learning · 2009
Cited alongside, same era.
Electronic Journal of Statistics
Chastaing, G., G. F. and Prieur, C. (2012) Generalized hoeffding-sobol decomposition for dependent variables - application to sensitivity analysis · 2012
Cited alongside, same era.
Journal of Mathematical Chemistry
Li, G. and Rabitz, H. (2012) General formulation of hdmr component functions with independent and correlated variables · 2012
Later among the works it cites.
Progress in Artificial Intelligence
Fanaee-T, H. and Gama, J. (2013) Event labeling combining ensemble detectors and background knowledge · 2013
Later among the works it cites.
SIAM/ASA Journal of Uncertainty Quantification
Rahman, S. (2014) A generalized anova dimensional decomposition for dependent probability measures · 2014
Later among the works it cites.
Journal of Computational & Graphical Statistics
Goldstein, A., K. A. B. J. and Pitkin, E. (2015) Peeking inside the black box: Visualizing statistical learning with plots of individual conditional expectation · 2015
Later among the works it cites.
URL: http://CRAN.R-project.org/package=tree
Ripley, B. D. (2015) tree: Classification and regression trees. r package version 1.0-36 · 2015
Later among the works it cites.
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