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[Task] Compute ranking metrics for models trained with a binary classification task
Description
This goal is to be able to compute ranking metrics for models trained with the binary task.
Additional context One possible solution is to have a post-processing step that groups the scores by USER_ID (or another column like session-id), sorts them, and feeds this list of scores together with the related list of binary targets to the ranking metric.
That’s how we did it at Spotify as well, we presented that system here. It would be very straightforward to replicate that here.