[FEAT][tabular][CV] Label-prediction distribution comparison #1444
Labels
ds
Tasks suited for Data Scientists
feature
Feature update or code change to the package
good first issue
Good for newcomers
Milestone
Create a check, both in tabular and in vision that compares the disribution of the prediction and the label. This is a sanity check that the model predicts the label well enough.
Use drift methods (PSI / Cramer's V and EMD) to compare.
Find a good name for this check.
In vision - use properties
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