Show variable importance after experiment runs.
One of the more interesting things to observe when building a model is seeing what variables were determined to be most important.
Allowing us to see various variable weights (p values for linear regression, importance in tree based models, etc.) would make experiments more insightful.
Please see the Permutation Feature Importance module.