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3.1. Cross-validation: evaluating estimator performance is included below. Adapt the question and comparison, then copy or download your plan.
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- 3.1. Cross-validation: evaluating estimator performance →
scikit-learn documentation. 3.1. Cross-validation: evaluating estimator performance. https://scikit-learn.org/stable/modules/cross_validation.html; observed version 1.9.1 (observed documentation version; stable URL is mutable).
Record revision: 8c31ebc272585f1e00b12cc000e755dfa687ab3dba882effad7dd1a7d5ea149a
Source links open the current listing. This plan retains the revisions above; listing review does not grant permission to copy or adapt source files.
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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