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- 3.4. Metrics and scoring: quantifying the quality of predictions →
scikit-learn documentation. 3.4. Metrics and scoring: quantifying the quality of predictions. https://scikit-learn.org/stable/modules/model_evaluation.html; observed version 1.9.1 (observed documentation version; stable URL is mutable).
Record revision: 14c631ef986b838e43bdf04a5e3fd3a3be03cb58771e82dd8b05cc39b4aa6282
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Before carrying out this plan
- scikit-learn 1.9.1
- Compatible NumPy/SciPy and compiled dependencies; exact environment not prepared
Limits to keep in view
- No upstream example, source package, build hook or submitted code was executed.
- The current qualified pilot accepts only self-contained Python 3.13 with a 90-second deadline. This reference's package/runtime is not qualified for that path.
- The proposed protocol requires bounded resource estimates and an independently controlled evaluator before any scientific execution claim.
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