I am trying to understand where exactly SMOTE-ing should occur when training a model with cross-validation. I understand that all pre-processing steps should oc
I try to use tidymodels to tune the workflow with recipe and model parameters. When tuning a single workflow there is no problem. But when tuning a workflowsets
According to this (https://dials.tidymodels.org/reference/grid_max_entropy.html) page, the output of a grid function may vary depending on whether we use a para