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LightGBM allegedly handles missing values in the features (e.g., represented as NaN).
We should also be able to handle missing values in the constraint group column (sensitive attribute).
For instance, we could do imputation with the majority group for all rows with unknown sensitive attribute.
The text was updated successfully, but these errors were encountered:
Summary
LightGBM allegedly handles missing values in the features (e.g., represented as
NaN
).We should also be able to handle missing values in the constraint group column (sensitive attribute).
For instance, we could do imputation with the majority group for all rows with unknown sensitive attribute.
The text was updated successfully, but these errors were encountered: