https://communities.sas.com/t5/SAS-Data-Science/Is-there-a-way-to-show-why-someone-has-a-high-probability-of-an/m-p/561946#M7816 <P>Yes!&nbsp; Check out these papers/blogs on this topic:</P> <P>&nbsp;</P> <P><A href="https://www.sas.com/content/dam/SAS/support/en/sas-global-forum-proceedings/2018/1950-2018.pdf" target="_self">Interpreting Black-Box Machine Learning Models Using Partial Dependence and Individual Conditional Expectation Plots</A></P> <P>&nbsp;</P> <P><A href="https://communities.sas.com/t5/SAS-Communities-Library/LIME-and-ICE-in-SAS-Viya-3-4-Interpreting-Machine-Learning/ta-p/510915" target="_blank">https://communities.sas.com/t5/SAS-Communities-Library/LIME-and-ICE-in-SAS-Viya-3-4-Interpreting-Machine-Learning/ta-p/510915</A></P> <P>&nbsp;</P> <P><A href="https://blogs.sas.com/content/subconsciousmusings/2018/10/31/improving-model-interpretability-with-lime/" target="_blank">https://blogs.sas.com/content/subconsciousmusings/2018/10/31/improving-model-interpretability-with-lime/</A></P> <P>&nbsp;</P> <P><A href="https://blogs.sas.com/content/subconsciousmusings/2018/06/12/interpret-model-predictions-with-partial-dependence-and-individual-conditional-expectation-plots/" target="_blank">https://blogs.sas.com/content/subconsciousmusings/2018/06/12/interpret-model-predictions-with-partial-dependence-and-individual-conditional-expectation-plots/</A></P> Tue, 28 May 2019 12:42:51 GMT WendyCzika 2019-05-28T12:42:51Z https://communities.sas.com/t5/SAS-Data-Science/Is-there-a-way-to-show-why-someone-has-a-high-probability-of-an/m-p/561683#M7815 <P>I have several Gradient Boosting models in production. I have gotten requests from users of the final score\model of beeing able to get insight into why a customer has a high probability of an outcome, say churn or buying a product.&nbsp;</P><P>&nbsp;</P><P>Showing which variables are important in a model, along with the customers variables could of course bring some insight for a trained statistician\data scientist, but that hardly helps an untrained eye.&nbsp;</P><P>&nbsp;</P><P>Is there any smart way of explaining why one customer gets a high score? I picture a stored process that takes a given customer as input, and outputs some report that shows some of the most important drivers of the customers score. This can of course be exceedingly complex in such a model, but have you seen any attempts at it?</P> Mon, 27 May 2019 07:40:09 GMT https://communities.sas.com/t5/SAS-Data-Science/Is-there-a-way-to-show-why-someone-has-a-high-probability-of-an/m-p/561683#M7815 Ullsokk 2019-05-27T07:40:09Z https://communities.sas.com/t5/SAS-Data-Science/Is-there-a-way-to-show-why-someone-has-a-high-probability-of-an/m-p/561946#M7816 <P>Yes!&nbsp; Check out these papers/blogs on this topic:</P> <P>&nbsp;</P> <P><A href="https://www.sas.com/content/dam/SAS/support/en/sas-global-forum-proceedings/2018/1950-2018.pdf" target="_self">Interpreting Black-Box Machine Learning Models Using Partial Dependence and Individual Conditional Expectation Plots</A></P> <P>&nbsp;</P> <P><A href="https://communities.sas.com/t5/SAS-Communities-Library/LIME-and-ICE-in-SAS-Viya-3-4-Interpreting-Machine-Learning/ta-p/510915" target="_blank">https://communities.sas.com/t5/SAS-Communities-Library/LIME-and-ICE-in-SAS-Viya-3-4-Interpreting-Machine-Learning/ta-p/510915</A></P> <P>&nbsp;</P> <P><A href="https://blogs.sas.com/content/subconsciousmusings/2018/10/31/improving-model-interpretability-with-lime/" target="_blank">https://blogs.sas.com/content/subconsciousmusings/2018/10/31/improving-model-interpretability-with-lime/</A></P> <P>&nbsp;</P> <P><A href="https://blogs.sas.com/content/subconsciousmusings/2018/06/12/interpret-model-predictions-with-partial-dependence-and-individual-conditional-expectation-plots/" target="_blank">https://blogs.sas.com/content/subconsciousmusings/2018/06/12/interpret-model-predictions-with-partial-dependence-and-individual-conditional-expectation-plots/</A></P> Tue, 28 May 2019 12:42:51 GMT https://communities.sas.com/t5/SAS-Data-Science/Is-there-a-way-to-show-why-someone-has-a-high-probability-of-an/m-p/561946#M7816 WendyCzika 2019-05-28T12:42:51Z