# Predict, change, rerun

1. Move a test point near the class boundary: inspect uncertainty instead of demanding a perfect score.
2. Scale on all rows before splitting: identify leakage.
3. Try another seed or a harder dataset: keep the new result even if performance drops.

Keep expected behaviour separate from the result actually observed.