Round 127

Round UUID: 9f03f8e2-f78d-4cc6-b35e-506111cabcaf

Prompt:

Analyze the entity data and predict whether it should be Approved or Denied based on these rules:

1. If TimelineDeviation >= 16.0:
   - If ParadoxCount >= 5.8 and ParadoxCount <= 6.2, predict Denied
   - Otherwise, predict Approved

2. If TimelineDeviation >= 14.0 and TimelineDeviation < 16.0:
   - If ParadoxCount < 3.0, predict Denied
   - If ParadoxCount >= 3.0 and ParadoxCount < 4.0, predict Approved
   - If ParadoxCount >= 4.0 and ParadoxCount < 6.5, predict Denied
   - If ParadoxCount >= 6.5, predict Approved

3. If TimelineDeviation >= 12.0 and TimelineDeviation < 14.0:
   - If ParadoxCount < 3.3, predict Denied
   - If ParadoxCount >= 3.3 and ParadoxCount < 6.0, predict Approved
   - If ParadoxCount >= 6.0, predict Approved

4. If TimelineDeviation >= 9.0 and TimelineDeviation < 12.0:
   - If ParadoxCount < 4.5, predict Denied
   - If ParadoxCount >= 4.5 and ParadoxCount < 5.8, predict Approved
   - If ParadoxCount >= 5.8, predict Approved

5. If TimelineDeviation < 9.0:
   - If ParadoxCount < 1.0, predict Denied
   - If ParadoxCount >= 1.0 and ParadoxCount < 2.0, predict Approved
   - If ParadoxCount >= 2.0 and ParadoxCount < 6.5, predict Denied
   - If ParadoxCount >= 6.5, predict Approved

Apply these rules in order and make your prediction based on the first rule that matches.

• Inferences: 200
• Created: 2025-06-25 00:01:46.842687+00:00
• First inference: 2025-06-25 00:02:08.389969+00:00
• Last inference: 2025-06-25 00:13:31.648853+00:00
• Completed: yes
• Train accuracy: 0.825 (KT 0.084)
• Validation accuracy: 1.0 (KT 0.001)
• Test accuracy: 0.8 (KT 0.098)