Handle sklearn example OpenML dataset lookup failures

[csadorf]

Treats sklearn.datasets._openml.OpenMLError as an external OpenML failure in sklearn example collection so missing OpenML datasets xfail instead of failing the examples job.

Follow-up to #8205

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[csadorf]

Checked the PR CI run at https://github.com/rapidsai/cuml/actions/runs/26862934916?pr=8216.

At commit 89f17b435b1ffc4a61af49c2e28c0cb016c4e064, the conda-python-sklearn-examples-tests job passed, and the log shows sklearn.datasets._openml.OpenMLError being handled as ExampleNetworkError rather than a hard pytest failure.

The debug workflow changes still need to be reverted before merge.

[coderabbitai]

Caution

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📝 Walkthrough

Summary by CodeRabbit

Release Notes

• Tests
  • Improved handling of network-related errors in example collection to properly mark expected failures when network issues are encountered.

Walkthrough

Extended the example collector's network-error detection to recognize sklearn.datasets._openml.OpenMLError patterns. When this error appears in subprocess output, examples are marked as xfail with the appropriate network-error reason.

Changes

Network error detection

Layer / File(s)	Summary
OpenML error pattern addition python/cuml/cuml_accel_tests/upstream/scikit-learn/example_collector.py	Added "sklearn.datasets._openml.OpenMLError" to the network-error detection patterns list so OpenML failures trigger xfail handling.

Estimated code review effort

🎯 1 (Trivial) | ⏱️ ~2 minutes

Possibly related PRs

• rapidsai/cuml#7960: Introduces network-failure detection logic in the same example_collector.py file that this PR extends.
• rapidsai/cuml#8205: Extends network-error pattern detection in the same collector for sklearn/OpenML example runs.

Suggested labels

ci

Suggested reviewers

• viclafargue

🚥 Pre-merge checks | ✅ 5

✅ Passed checks (5 passed)

Check name	Status	Explanation
Title check	✅ Passed	The title clearly and concisely describes the main change: handling OpenML dataset lookup failures in sklearn examples.
Description check	✅ Passed	The description is directly related to the changeset, explaining the purpose and context of treating OpenMLError as an external failure.
Docstring Coverage	✅ Passed	No functions found in the changed files to evaluate docstring coverage. Skipping docstring coverage check.
Linked Issues check	✅ Passed	Check skipped because no linked issues were found for this pull request.
Out of Scope Changes check	✅ Passed	Check skipped because no linked issues were found for this pull request.

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✨ Finishing Touches

🧪 Generate unit tests (beta)

• Create PR with unit tests

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