Helping in Model Interpretability

MontseMontse MemberPosts:19Maven
edited December 2018 inProduct Feedback - Resolved

Hello,

Auto Model helps in interpreting the results. The simulator tool is very helpful to prove the response of the model an also helps in interpreting how works the model. But it's manual. And when the model complexity increases, model interpretability gets complicated too.

I have found something likeLIME, as a toolbox for model analysis.

RapidMiner has something like this? I think it could be very helpful to add this capability into RapidMiner.

Best regards,

Montse

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  • MartinLiebigMartinLiebig Administrator, Moderator, Employee, RapidMiner Certified Analyst, RapidMiner Certified Expert, University ProfessorPosts:3404年RM Data Scientist

    Hi,

    Get Local Interpretation is the LIME algorithm.

    Best,

    Martin

    - Sr. Director Data Solutions, Altair RapidMiner -
    Dortmund, Germany
  • Telcontar120Telcontar120 Moderator, RapidMiner Certified Analyst, RapidMiner Certified Expert, MemberPosts:1635年Unicorn

    That's part of the Operator Toolbox, in case you don't have it yet. It is a very useful extension!

    Brian T.
    Lindon Ventures
    Data Science Consulting from Certified RapidMiner Experts
  • sgenzersgenzer Administrator, Moderator, Employee, RapidMiner Certified Analyst, Community Manager, Member, University Professor, PM ModeratorPosts:2,959Community Manager
  • IngoRMIngoRM Administrator, Moderator, Employee, RapidMiner Certified Analyst, RapidMiner Certified Expert, Community Manager, RMResearcher, Member, University ProfessorPosts:1,751RM Founder

    And last but not least: the operator "Explain Predictions" is creating those local explanations in a non-manual way as well. It is an improved version of LIME which is in general faster and can also handle all data and prediction types. This improved algorithm is also what is used in the background of the Model Simulator. If you apply the operator, you will get a result like the following:

    explain_predictions.png

    The process XML to generate something like this is below.





    <宏/ >







    <枚举关键= "hidden_layer_sizes">



    <枚举关键= "hidden_dropout_ratios"/>



















    Hope this helps,

    Ingo

  • earmijoearmijo MemberPosts:270Unicorn

    I just finished teaching a course @ an MBA program in which I use RM as the main software program. I mentioned in class that it would be great if one could explain some of the powerful black boxes available in RM. Then I switched to R and the Lime library and demostrated how to do it for a credit scoring example.

    I was about to enter a request in the "Ideas" section about implementing LIME in RM. Wisely, I search the forum first :-)

    This is fantastic. RM is getting better and better and better.

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