Round 316

Round UUID: f0029f98-da4b-485a-a1a7-e1822f36c79b

Prompt:

To make predictions about whether an entity should be approved or denied, follow these clear and explicit rules based on the given features:

1. If `TimelineDeviation` is greater than 12 and `ParadoxCount` is greater than 6, then predict 'Approved'.
2. If `TimelineDeviation` is between 10 and 12:
   - Predict 'Approved' if `ParadoxCount` is greater than or equal to 5.
   - Predict 'Denied' if `ParadoxCount` is less than 5 and `TimelineDeviation` is less than 12.
3. If `TimelineDeviation` is less than or equal to 10:
   - Predict 'Denied' if `ParadoxCount` is less than or equal to 3.
   - Predict 'Approved' if `ParadoxCount` is exactly 4.
4. If `TimelineDeviation` is between 12 and 14 and `ParadoxCount` is greater than 6, then predict 'Approved'.
5. If `TimelineDeviation` is greater than 12 and `ParadoxCount` is between 5 and 6, predict 'Approved'.
6. If `TimelineDeviation` is greater than or equal to 10 but less than or equal to 12 and `ParadoxCount` is less than or equal to 6, then predict 'Denied'.
7. For all other combinations of `TimelineDeviation` and `ParadoxCount` that do not meet the criteria above, predict 'Denied'.

• Inferences: 200
• Created: 2025-04-20 02:47:01+00:00
• First inference: 2025-04-20 02:47:05+00:00
• Last inference: 2025-04-20 02:54:50+00:00
• Completed: yes
• Train accuracy: 0.73125 (KT 0.137)
• Validation accuracy: 0.75 (KT 0.126)
• Test accuracy: 0.8 (KT 0.098)