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White Paper

XEMP Prediction Explanations with DataRobot

When it comes to predictive modeling, nothing is more important than building trust in the models you are using. Individuals and organizations need to know why the models came to the conclusions that they did and why those answers are trustworthy. Explanations should be suitable for all stakeholders and written in language that is understandable by the people affected by the model.


Read the white paper, XEMP Prediction Explanations with DataRobot, to learn the intricacies of prediction explanations and why DataRobot’s XEMP offers more reliable and consistent explanations than other open source explanation methodologies, such as LIME.

Learn how XEMP:

  • Works directly on the actual model that is deployed and doesn’t rely on an approximation of the model.
  • Is stable with every explanation resulting in a unique and replicable prediction. You won’t get two different explanations for the same prediction.
  • Is much more scalable - XEMP is an enterprise-ready solution for providing fast prediction explanations.
  • Is easily explainable, answering the questions asked by stakeholders, not using abstract mathematical concepts such as gradients.
  • Provides stronger explanations. Stronger explanations are critical as they provide a quantitative basis for evaluating predictions.
  • DataRobot's platform makes my work exciting, my job fun, and the results more accurate and timely – it's almost like magic!
    Omair Tariq
    Omair Tariq

    Data Analyst, Symphony Post Acute Network

  • I think we need to take it upon ourselves in the industry to build the predictive models that understand what the needs and wants of our customers are, and go through the whole curation process, become their concierge.
    Oliver Rees
    Oliver Rees

    General Manager – Torque Data at Virgin Australia

  • At LendingTree, we recognize that data is at the core of our business strategy to deliver an exceptional, personalized customer experience. DataRobot transforms the economics of extracting value from this resource.
    Akshay Tandon
    Akshay Tandon

    VP of Strategy Analytics, LendingTree

  • We know part of the science and the heavy lifting are intrinsic to the DataRobot technology. Prior to working with DataRobot, the modeling process was more hands-on. Now, the platform has optimized and automated many of the steps, while still leaving us in full control. Without DataRobot, we would need to add two full-time staffers to replace what DataRobot delivers.
    Get Your Copy of the White Paper