Exploring and Visualizing Models with JMP Profiler
NOTE: Workshops require an additional fee. Have you ever felt like your model is a “black box”? Have you wondered what your models really mean? Discover how JMP’s Profiler platforms help you explore and visualize statistical models with ease. In this hands-on session, learn how to navigate the Profiler interface, interpret complex model behavior, and uncover insights through interactive visualization. We cover key components, options, and features that make interpreting models intuitive and powerful. By the end, you’ll be equipped to confidently use the Profiler to understand relationships and effects in your data.
After presenting an overview, this session covers:
- Producing and saving predictions (including Bagged Predictions in JMP Pro).
- Changing the appearance of the Profiler.
- Determining the sensitivity of the prediction formula to changes in the predictor variables.
- Expanding intermediate formulas.
- Showing linear constraints in the Profiler.
- Visualizing interaction effects, overlaid interactions, and how close the data are to the model.
- Animating the Profiler.
- Assessing variable importance for the overall model and for individual observations with Shapley values.
- Controlling the display of extrapolation.
- Finding conditional predictions in models with random effects.
- Understanding propagation of error in prediction formulas.
Please note: This workshop primarily uses JMP but shows some (minimal) JMP Pro features. We can provide access to a virtual lab to use on your laptop if you want to try these features but do not have JMP Pro installed at the time of the workshop.
This workshop is not included with your registration fee. The fee will be charged in addition to your conference registration fee.
