Visualizing the effects of predictor variables in black box supervised learning models-Reference-Cited by-同舟云学术

Visualizing the effects of predictor variables in black box supervised learning models

Published:2020-06-11 Issue:4 Volume:82 Page:1059-1086
ISSN:1369-7412
Container-title:Journal of the Royal Statistical Society: Series B (Statistical Methodology)
language:en
Short-container-title:J. R. Stat. Soc. B

Author:

Apley Daniel W.¹,Zhu Jingyu¹

Affiliation:

1. Northwestern University Evanston USA

Publisher

Wiley

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/rssb.12377

Reference20 articles.

1. Apley D. W.(2016)Visualizing the effects of predictor variables in black box supervised learning models. Northwestern University Evanston. (Available fromhttps://arxiv.org/abs/1612.08468v1.)

2. Generalized Hoeffding-Sobol decomposition for dependent variables - application to sensitivity analysis

3. Graphics for studying the net effects of regression predictors;Cook D. R.;Statist. Sin.,1995

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