Round 522

Round UUID: 1b1e1f9c-520d-413e-a1d1-18f9adb9777b

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 less than 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 17.5, classify as "Effective"
   - 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 "Effective"
   - 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 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 between 12 and 24 (inclusive), 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 15.5, classify as "Ineffective"
   - 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 06:21:14.398508+00:00
• First inference: 2025-07-30 06:21:38.626158+00:00
• Last inference: 2025-07-30 06:24:02.680358+00:00
• Completed: yes
• Train accuracy: 0.55 (Krichevsky-Trofimov 0.260)
• Validation accuracy: 0.6 (Krichevsky-Trofimov 0.222)
• Test accuracy: 0.45 (Krichevsky-Trofimov 0.347)