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This article presents Individual Conditional Expectation (ICE) plots, a tool for visualizing the model estimated by any supervised learning algorithm.
Statistical inference for exploratory data analysis and model diagnostics
Buja, A., Cook, D., Hofmann, H., Lawrence, M., Lee, E., Swayne, D., and Wickham, H. (2009) · 1906
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A variable span smoother
Friedman, J. (1984) · 1984
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Estimating Optimal Transformations for Multiple Regression and Correlation
Breiman, L. and Friedman, J. (1985) · 1985
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Generalized additive models
Hastie, T. and Tibshirani, R. (1986) · 1986
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Using the ADAP learning algorithm to forecast the onset of diabetes mellitus
Smith, J. and Everhart, J. (1988) · 1988
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Visualizing Bagged Decision Trees
Rao, J. and Potts, W. (1997) · 1997
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Visualizing the function computed by a feedforward neural network
Plate, T., Bert, J., Grace, J., and Band, P. (2000) · 2000
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Greedy Function Approximation: A Gradient Boosting Machine
Friedman, J. (2001) · 2001
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Stochastic gradient boosting
Friedman, J. (2002) · 2002
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Quasi-regression for visualization and interpretation of black box functions
Jiang, T. and Owen, A. (2002) · 2002
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Classification and regression by randomforest
Liaw, A. and Wiener, M. (2002) · 2002
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Modern Applied Statistics with S
Venables, W. and Ripley, B. (2002) · 2002
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Nomograms for visualizing support vector machines
Jakulin, A., Mozina, M., and Demsar, J. (2005) · 2005
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Opening the Black Box - Data Driven Visualization of Neural Networks
Tzeng, F. (2005) · 2005
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A working guide to boosted regression trees
Elith, J., Leathwick, J., and Hastie, T. (2008) · 2008
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Graphical Inference for Infovis
Wickham, H., Cook, D., Hofmann, H., and Buja, A. (2010) · 2010
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A General Method for Visualizing and Explaining Black-Box Regression Models
Strumbelj, E. and Kononenko, I. (2011) · 2011
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UCI machine learning repository
Bache, K. and Lichman, M. (2013) · 2013
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Statistical procedures for forecasting criminal behavior: A comparative assessment
Berk, R. and Bleich, J. (2013) · 2013
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GAM: Generalized Additive Models
Hastie, T. (2013) · 2013
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GBM: Generalized Boosted Regression Models
Ridgeway, G. (2013) · 2013
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Modeling heterogeneous treatment effects in large-scale experiments using Bayesian Additive Regression Trees
Green, D. and Kern, H. (2010) · 2010
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