Choose a degree using validation data, lock the choice, then evaluate a fresh seeded test set.
Name the expected effect, metric and what would count against the hypothesis.
Record fixtures, source, version, parameters, units, controls and how cases are split.
| Case and split | Baseline result | Changed result | Interpretation |
|---|---|---|---|
On clean data generated by a higher-order curve, extra capacity can help; degree alone does not diagnose overfitting.
Record your new case and rerun the original cases after redesign.
Explain the mechanism, one exact result and what would overturn your conclusion.
A synthetic quadratic favours particular hypotheses. Do not tune repeatedly on final tests.
Next test: _ . Project filename: _ . Work that is mine and tools I used: ____ .
Use fictional data. Download a resumable project before changing devices. On a shared device, turn remembering off and clear your work when finished.