Round 141

Round UUID: c31995fc-74bc-4fb1-8e60-77ac3aa6ab4e

Prompt:

You are evaluating temporal anomaly cases for approval or denial based on TimelineDeviation and ParadoxCount metrics.

Apply these rules in order:

1. If ParadoxCount > 7.5, predict APPROVED
2. If ParadoxCount < 2.5, predict DENIED  
3. If TimelineDeviation < 7.5, predict DENIED
4. If TimelineDeviation > 14.0 AND ParadoxCount < 4.0, predict DENIED
5. If TimelineDeviation > 12.0 AND ParadoxCount >= 4.5, predict APPROVED
6. If TimelineDeviation >= 7.5 AND TimelineDeviation <= 12.0:
   - If ParadoxCount >= 5.0, predict APPROVED
   - If ParadoxCount < 5.0, predict DENIED
7. For all other cases, predict APPROVED

Apply the first rule that matches the entity's data.

• Inferences: 200
• Created: 2025-06-25 02:30:49.153418+00:00
• First inference: 2025-06-25 02:31:05.880408+00:00
• Last inference: 2025-06-25 02:46:13.796387+00:00
• Completed: yes
• Train accuracy: 0.74375 (KT 0.129)
• Validation accuracy: 0.75 (KT 0.126)
• Test accuracy: 0.7 (KT 0.156)