ENH Add `zero_division` parameter for `accuracy_score`

[Jaimin020]

Introduce the zero_division parameter to the accuracy_score function when y_true and y_pred are empty.

Reference Issues/PRs

Make zero_division parameter consistent in the different metric #29048 (Task-1)

What does this implement/fix? Explain your changes.

I have verified the lengths of the variables "y_true" and "y_pred." If both lengths are 0, I have generated an output based on the value of the "zero_warning" variable.

Any other comments?

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[StefanieSenger]

Hi @Jaimin020,

regarding the CodeCov failures: you need to add accuracy_score to the tests in test_classification.py. The output of the CI seems not very helpful here however. Normally, the precise lines of the uncovered code should show up in the "Files changed" tab.

[Jaimin020]

Hii, @StefanieSenger

I have made all the changes you mentioned.

[Jaimin020]

Hii, @StefanieSenger and @glemaitre

I've implemented all the changes suggested by @StefanieSenger. @glemaitre, please review this PR and let me know if any further modifications are needed.

[Jaimin020]

Hii @glemaitre,

I have implemented all the changes you requested. Please review it.

[Jaimin020]

LGTM @Jaimin020.

I quickly pushed a commit to merge main in the branch and just modify the message related to skipping the test that is rather a nitpick.

We will need a second approval.

Thanks @glemaitre for the quick update and merge with the main branch.