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                        Custom probability thresholds for binary classification ?
Dear Authors:
I am aware that there is a plan to add the feature of custom probability threshold for classification in workflow package. But it seems not published yet. I also notice that the probably package is very helpful to find out the approriate threshold value (the link), but I don't know how to integrate it into the workflow.
As this feature is important to one of my projects, so I am wondering is there a alternative approach to archieve it in the whole tidymodels workflow?
Anyway, I am also look forward to the one-line solution in the future! Thanks again for the great work!
Xiaoguang
Hi!!
I was wondering if there is any update in this issue? This is kind of an important feature when dealing with classification problems that require a higher specificity (e.g. for mortality prediction and health risks) and at the moment I feel like the only way is to do it in tidymodels is something of this sort:
collect_predictions(final_model) %>%
  mutate(corrected_class = as_factor(case_when(.pred_alive > 0.75 ~ "alive",
                                               TRUE ~ "dead"))) %>% # Manual threshhold
  conf_mat(truth = vital_state, estimate = corrected_class) 
I think this workaround is accurate for a confusion matrix? But we still need to be able to calculate the new metrics and I can't find a way to do it in a simple way using yardstick.
Thank you!!
Hi, Would there be any update on this?
I am aware of {probably} and how to look for an optimal thershold after training. However, I would like to tune the threshold within a workflow and treat the threshold as any other hyperparameter.
Many thanks!
Long time no see😝 We've got some good news here, though—custom probability thresholds and other postprocessing functionality is now available via tailors, which can be added to workflows in the dev version of the workflows package. You can read more on that work on this blog post.
Since these changes will otherwise live on the tailor repo, I'm going to go ahead and close!