Round 125

Round UUID: 9a842fc8-df0e-46b2-b5e9-6b041ad29a29

Prompt:

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

1. If TimelineDeviation >= 16.0, predict Approved

2. If TimelineDeviation >= 14.0 and TimelineDeviation < 16.0:
   - If ParadoxCount < 2.5, predict Denied
   - If ParadoxCount >= 2.5 and ParadoxCount < 4.0, predict Denied
   - If ParadoxCount >= 4.0, predict Approved

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

4. If TimelineDeviation >= 9.0 and TimelineDeviation < 12.0:
   - If ParadoxCount < 3.5, predict Denied
   - If ParadoxCount >= 3.5 and ParadoxCount < 5.0, predict Denied
   - If ParadoxCount >= 5.0, predict Approved

5. If TimelineDeviation < 9.0:
   - If ParadoxCount < 2.0, predict Approved
   - If ParadoxCount >= 2.0 and ParadoxCount < 3.5, predict Denied
   - If ParadoxCount >= 3.5 and ParadoxCount < 7.0, predict Denied
   - If ParadoxCount >= 7.0, predict Approved

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

• Inferences: 200
• Created: 2025-06-24 23:40:10.578576+00:00
• First inference: 2025-06-24 23:40:26.046301+00:00
• Last inference: 2025-06-24 23:50:26.604674+00:00
• Completed: yes
• Train accuracy: 0.875 (KT 0.059)
• Validation accuracy: 0.9 (KT 0.047)
• Test accuracy: 0.8 (KT 0.098)