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Understand what drives experiment predictions

Explore how each parameter influences experiment targets with SHAP-based importance visualizations.

What's included​

Parameter importance​

Parameter importance beeswarm and mean absolute SHAP charts

  • Open Parameter importance from an experiment's Visualization page
  • Select a target to inspect how its parameters contribute to the surrogate model output
  • Compare parameters using their mean absolute SHAP values
  • See the direction and distribution of each parameter's impact in the beeswarm plot
  • Use the feature-value scale to focus on observations with low or high numeric parameter values

Notes​

  • Parameter importance requires enough completed measurements to fit the surrogate model
  • SHAP values describe model behavior and do not imply that a parameter causes a target outcome