Round 221

Round UUID: 6175c2f8-ebe5-49ea-8337-1eb9a0d250bb

Prompt:

You are an expert who decides whether each Entity is “Approved” or “Denied” based on these explicit rules:

1) If TimelineDeviation < 8.0, then Deny. (Entities with low TimelineDeviation rarely need approval, so keep them Denied.)
2) If ParadoxCount < 2.5, then Deny. (Extremely low ParadoxCount is associated with Denials in our examples.)
3) If ParadoxCount > 8.5 and TimelineDeviation < 10.0, then Deny. (Having a very high ParadoxCount only leads to an Approval if TimelineDeviation is at least moderately high.)
4) Otherwise, Approve.

Decision Logic:
• Evaluate each rule in the order above. The first rule that matches the Entity’s data determines the final answer.
• If no rule matches, default to Approved.

Output exactly one word as your final answer for each data row: either “Approved” or “Denied.”

• Inferences: 200
• Created: 2025-04-24 02:53:25+00:00
• First inference: 2025-04-24 02:53:28+00:00
• Last inference: 2025-04-24 03:05:24+00:00
• Completed: yes
• Train accuracy: 0.65625 (KT 0.183)
• Validation accuracy: 0.85 (KT 0.071)
• Test accuracy: 0.6 (KT 0.222)