# Predict, change, rerun

1. Predict all zero: accuracy becomes 0.5, not evidence of useful discrimination.
2. Swap one wrong prediction for its truth: accuracy rises to 5/6.
3. Try an empty truth list: reject an undefined metric.

Keep expected behaviour separate from the result actually observed.