Round 521

Round UUID: ef43e2e6-3543-4e5c-b9a2-117c0e609ec1

Prompt:

Analyze the entity data and classify it as either "Effective" or "Ineffective" based on the following rules:

RULE 1: If FizzIntensity is greater than or equal to 50:
   - If ColourShift is greater than or equal to 18, classify as "Ineffective"
   - Otherwise, classify as "Effective"

RULE 2: If FizzIntensity is less than 20, classify as "Ineffective"

RULE 3: If ColourShift is negative:
   - If FizzIntensity is greater than or equal to 26, classify as "Effective"
   - Otherwise, classify as "Ineffective"

RULE 4: If FizzIntensity is between 40 and 50 (exclusive):
   - If ColourShift is greater than or equal to 9.5, classify as "Effective"
   - Otherwise, classify as "Ineffective"

RULE 5: If FizzIntensity is between 35 and 40 (inclusive):
   - If ColourShift is greater than 21, classify as "Ineffective"
   - If ColourShift is between 17.5 and 21 (inclusive), classify as "Effective"
   - Otherwise, classify as "Ineffective"

RULE 6: If FizzIntensity is between 30 and 35 (exclusive):
   - If ColourShift is greater than or equal to 18.5, classify as "Effective"
   - If ColourShift is between 11.5 and 18.5 (exclusive), classify as "Effective"
   - Otherwise, classify as "Ineffective"

RULE 7: If FizzIntensity is between 25 and 30 (inclusive):
   - If ColourShift is greater than 24, classify as "Ineffective"
   - If ColourShift is greater than or equal to 12, classify as "Effective"
   - Otherwise, classify as "Ineffective"

RULE 8: If FizzIntensity is between 20 and 25 (exclusive):
   - If ColourShift is greater than or equal to 6.5, classify as "Effective"
   - Otherwise, classify as "Ineffective"

Apply these rules in the order presented and return only the classification: either "Effective" or "Ineffective".

• Inferences: 200
• Created: 2025-07-30 06:17:59.928790+00:00
• First inference: 2025-07-30 06:18:20.030232+00:00
• Last inference: 2025-07-30 06:21:13.921690+00:00
• Completed: yes
• Train accuracy: 0.575 (KT 0.241)
• Validation accuracy: 0.65 (KT 0.188)
• Test accuracy: 0.5 (KT 0.301)