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RidgeClassifierCV bug when using scoring

See original GitHub issue

from sklearn.datasets import load_breast_cancer
from sklearn.linear_model import RidgeClassifierCV

X, y = load_breast_cancer(return_X_y=True)
RidgeClassifierCV(scoring='accuracy').fit(X, y)

errors because the fake estimator that’s constructed in RidgeGCV is a regressor and the predict method returns the scores, not the predictions.

Also see #4667

Issue Analytics

State:
Created 4 years ago
Comments:7 (7 by maintainers)

Top GitHub Comments

1reaction

amuellercommented, Aug 24, 2019

@venkyyuvy I think we should just change the handling in https://github.com/scikit-learn/scikit-learn/blob/1495f6924/sklearn/linear_model/ridge.py#L1459 and make sure we treat both regressors and classifier correctly

0reactions

venkyyuvycommented, Jan 7, 2020

Hi Contributors, Thanks for your interest. I had raised a PR for this issue and waiting for reviews. Kindly check my PR above for more info.

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