[maintenance] Remove onedal/sklearnex functionality mixing in KNeighborsClassifier.predict using from_table

[icfaust]

Description

KNeighborsClassifier uses the onedal from_table functionality and internal parameter setting functionality in a way which is different from the rest of the codebase. This makes it similar to all other uses in the codebase. This is not a final solution, as a refactoring of the _get_onedal_params needs to be done, and therefore includes a temporary (but limited) solution.

Follow up: evaluate how to use a _create_model function in the classifier, as a model is available for this specific estimator (allowing for the definition of a _create_model function).

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Checklist:

Completeness and readability

• I have commented my code, particularly in hard-to-understand areas.
• I have updated the documentation to reflect the changes or created a separate PR with updates and provided its number in the description, if necessary.
• Git commit message contains an appropriate signed-off-by string (see CONTRIBUTING.md for details).
• I have resolved any merge conflicts that might occur with the base branch.

Testing

• I have run it locally and tested the changes extensively.
• All CI jobs are green or I have provided justification why they aren't.
• I have extended testing suite if new functionality was introduced in this PR.

Performance

• I have measured performance for affected algorithms using scikit-learn_bench and provided at least a summary table with measured data, if performance change is expected.
• I have provided justification why performance and/or quality metrics have changed or why changes are not expected.
• I have extended the benchmarking suite and provided a corresponding scikit-learn_bench PR if new measurable functionality was introduced in this PR.