Round UUID: 64d5d6c4-4e3e-4255-8d08-6b9e48340531
Prompt:
Evaluate the outcomes based on the following clear, explicit, and refined rules: 1. If FizzIntensity > 50.0, classify as Effective regardless of ColourShift. 2. If FizzIntensity is between 48.0 and 50.0 (exclusive) and ColourShift < 12.0, classify as Effective. 3. If FizzIntensity is between 45.0 and 50.0 (inclusive) and ColourShift < 13.0, classify as Effective with emphasis on these cases. 4. If FizzIntensity is between 45.0 and 48.0 (exclusive) and ColourShift < 14.0, classify as Effective while monitoring misclassifications closely. 5. If FizzIntensity is 45.0 and ColourShift < 13.0, classify as Effective. 6. If FizzIntensity is between 42.0 and 45.0 (inclusive) and ColourShift < 10.0, classify as Effective. 7. If FizzIntensity between 30.0 and 39.0 (inclusive) and ColourShift <= 16.0, classify as Effective unless ColourShift > 20.0, then classify as Ineffective. 8. If FizzIntensity < 25.0, classify as Ineffective. 9. If ColourShift > 20.0 and FizzIntensity <= 44.0, classify as Ineffective. 10. If FizzIntensity is between 36.0 and 40.0 and ColourShift > 14.0, classify as Ineffective to further reduce false positives. 11. If FizzIntensity is between 25.0 and 30.0 and ColourShift <= 12.0, classify as Effective but note that these are borderline cases. 12. If FizzIntensity is between 40.0 and 45.0 (exclusive) and ColourShift > 12.0, classify as Ineffective. 13. If FizzIntensity is between 30.0 and 35.0 and ColourShift is between 11.0 and 16.0, classify as Effective. 14. If FizzIntensity is between 39.0 and 42.0 (inclusive) and ColourShift < 15.0, classify as Effective to correct previous misclassifications. 15. If FizzIntensity is between 43.0 and 45.0 (exclusive) and ColourShift < 14.0, classify as Effective to handle false negative cases. 16. If FizzIntensity is between 33.0 and 39.0 (exclusive) and ColourShift < 11.0, classify as Effective to address prior errors. 17. If FizzIntensity is between 40.0 and 50.0 and ColourShift >= 15.0, classify as Ineffective to prevent misclassification of borderline cases.