Round 450

Round UUID: 6535799c-d335-46a4-b32b-a13c25197d8d

Prompt:

You are evaluating temporal anomaly reports. Each entity has two metrics:
- TimelineDeviation: A measure of temporal displacement (typically ranges 0-20)
- ParadoxCount: Number of causality violations detected (typically ranges 0-10)

Apply these rules in order to determine if the entity should be APPROVED or DENIED:

1. If ParadoxCount > 8.5, predict DENIED
2. If TimelineDeviation < 5.0, predict DENIED
3. If ParadoxCount < 2.0 AND TimelineDeviation > 10.0, predict DENIED
4. If TimelineDeviation >= 10.0 AND TimelineDeviation <= 13.5 AND ParadoxCount >= 4.5 AND ParadoxCount <= 7.0, predict APPROVED
5. If TimelineDeviation > 15.0 AND ParadoxCount >= 4.0 AND ParadoxCount < 6.0, predict APPROVED
6. If TimelineDeviation >= 14.0 AND TimelineDeviation <= 15.0 AND ParadoxCount >= 5.0 AND ParadoxCount <= 6.5, predict APPROVED
7. If TimelineDeviation >= 8.5 AND TimelineDeviation < 10.0 AND ParadoxCount >= 3.0 AND ParadoxCount < 3.7, predict APPROVED
8. If TimelineDeviation > 17.0 AND ParadoxCount >= 2.5 AND ParadoxCount < 4.0, predict APPROVED
9. Otherwise, predict DENIED

Make your prediction based ONLY on these explicit rules. Do not use any other criteria.

• Inferences: 200
• Created: 2025-07-31 13:50:05.153214+00:00
• First inference: 2025-07-31 13:50:20.806865+00:00
• Last inference: 2025-07-31 23:45:42.396780+00:00
• Completed: yes
• Train accuracy: 0.55625 (KT 0.255)
• Validation accuracy: 0.75 (KT 0.126)
• Test accuracy: 0.7 (KT 0.156)