Round 320

Round UUID: b55ac2b9-4bfc-408a-a3e8-899b642623b3

Prompt:

To make predictions about whether an entity should be approved or denied, please adhere to the following precise and explicit rules based on the given features:

1. If `TimelineDeviation` is greater than 14:
   - Predict 'Approved' if `ParadoxCount` is greater than 7.
   - Predict 'Denied' if `ParadoxCount` is less than or equal to 7.
2. If `TimelineDeviation` is between 12 and 14:
   - Predict 'Approved' if `ParadoxCount` is greater than 6.
   - Predict 'Denied' if `ParadoxCount` is less than or equal to 6.
3. If `TimelineDeviation` is between 10 and 12:
   - Predict 'Approved' if `ParadoxCount` is greater than 4.
   - Predict 'Denied' if `ParadoxCount` is less than or equal to 4.
4. 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.
5. If `TimelineDeviation` is exactly 11 and `ParadoxCount` is greater than 6, predict 'Approved'.
6. For all other combinations of `TimelineDeviation` and `ParadoxCount` that do not meet the criteria above, predict 'Denied'.

• Inferences: 200
• Created: 2025-04-24 02:52:14+00:00
• First inference: 2025-04-24 02:52:18+00:00
• Last inference: 2025-04-24 03:00:54+00:00
• Completed: yes
• Train accuracy: 0.50625 (KT 0.296)
• Validation accuracy: 0.65 (KT 0.188)
• Test accuracy: 0.7 (KT 0.156)