[MRG] ENH add macro-averaged mean squared error #1134
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Reference Issue
Closes #846
What does this implement/fix? Explain your changes.
New metric for ordinal classification:
macro_averaged_mean_squared_error
, following the same logic as the previously introducedmacro_averaged_mean_absolute_error
.Changes:
macro_averaged_mean_squared_error
__init__.py
Any other comments?
A comment in the issue suggested adding a
squared=True
parameter.As of scikit-learn 1.4 (see scikit-learn/scikit-learn#26734), this is now outdated: the new function is standalone.
Let me know if further changes are needed.