<p><div><div><div><div data-show-faces="false" data-height="21" data-width="100" data-layout="button_count" data-send="true" data-href="https://www.r-bloggers.com/dalex-understand-a-black-box-model-conditional-responses-for-a-single-variable/"></div></div><div></div></div><div></div></div>
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(This article was first published on <strong><a href="http://smarterpoland.pl/index.php/2018/02/dalex-conditional-single-variable-response-of-your-black-box-model/"> SmarterPoland.pl » English</a></strong>, and kindly contributed to <a rel="nofollow" href="https://www.r-bloggers.com/">R-bloggers)</a> </div>
<p>Black-box models, like random forest model or gradient boosting model, are commonly used in predictive modelling due to their elasticity and high accuracy. The problem is, that it is hard to understand how a single variable affects model predictions.</p>
<p>As a remedy one can use excellent tools like <a rel="nofollow" href="https://cran.r-project.org/package=pdp" target="_blank">pdp</a> package (<a rel="nofollow" href="https://journal.r-project.org/archive/2017/RJ-2017-016/RJ-2017-016.pdf" target="_blank">Brandon Greenwell, pdp: An R Package for Constructing Partial Dependence Plots, The R Journal 9(2017)</a>) or <a rel="nofollow" href="https://cran.r-project.org/package=ALEPlot" target="_blank">ALEPlot</a> package (<a rel="nofollow" href="https://arxiv.org/abs/1612.08468" target="_blank">Apley, Dan. Visualizing the Effects of Predictor Variables in Black Box Supervised Learning Models (2016)</a>).<br>
OR<br>
Now one can use the <a rel="nofollow" href="https://github.com/pbiecek/DALEX" target="_blank">DALEX</a> package to not only plot a conditional model response but also superimpose responses from different models to better understand differences between models.</p>
<p><a rel="nofollow" href="https://i2.wp.com/smarterpoland.pl/wp-content/uploads/2018/02/Screen-Shot-2018-02-19-at-12.27.58-AM.png" target="_blank"><img alt="Screen Shot 2018-02-19 at 12.27.58 AM" src="https://i0.wp.com/smarterpoland.pl/wp-content/uploads/2018/02/Screen-Shot-2018-02-19-at-12.27.58-AM-1024x732.png?w=450" class="wp-image-8560" data-recalc-dims="1"></a></p>
<p>Consult the following vignette to learn more about the DALEX package and explainers for a single variable.</p>
<p><a rel="nofollow" href="https://i2.wp.com/smarterpoland.pl/wp-content/uploads/2018/02/DALEX_single_variable.png" target="_blank"><img alt="DALEX_single_variable" src="https://i0.wp.com/smarterpoland.pl/wp-content/uploads/2018/02/DALEX_single_variable-1024x782.png?w=450" class="wp-image-8558" data-recalc-dims="1"></a></p>
<p>OR<br>
if you want to learn more about explainers, join our DALEX Invasion!<br>
Find our DALEX workshops at SER (Warsaw, April 2018), ERUM (Budapest, May 2018), WhyR (Wroclaw, June 2018) or UseR (Brisbane, July 2018).</p>
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