Round 116

Round UUID: 1ca19bf6-ed9e-43d8-bad7-a2af9eee4858

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 > 7.0, predict APPROVED
2. If ParadoxCount < 2.5, predict DENIED
3. If TimelineDeviation > 12.0 AND ParadoxCount >= 3.0, predict APPROVED
4. If TimelineDeviation < 9.0, predict DENIED
5. If TimelineDeviation >= 9.0 AND TimelineDeviation <= 12.0:
   - If ParadoxCount >= 5.0, predict APPROVED
   - If ParadoxCount < 5.0, predict DENIED
6. For all other cases, predict APPROVED

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

• Inferences: 200
• Created: 2025-06-24 18:45:30.231937+00:00
• First inference: 2025-06-24 18:45:45.516606+00:00
• Last inference: 2025-06-25 02:16:07.582026+00:00
• Completed: yes
• Train accuracy: 0.7375 (KT 0.133)
• Validation accuracy: 0.85 (KT 0.071)
• Test accuracy: 0.8 (KT 0.098)