Round 325

Round UUID: bb72587f-b0c6-4c36-90a9-6ab83ad858d7

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 6.
   - Predict 'Denied' if `ParadoxCount` is less than or equal to 6.
2. If `TimelineDeviation` is between 12 and 14:
   - Predict 'Approved' if `ParadoxCount` is greater than 4.
   - Predict 'Denied' if `ParadoxCount` is less than or equal to 4.
3. If `TimelineDeviation` is between 10 and 12:
   - Predict 'Approved' if `ParadoxCount` is greater than 5.
   - Predict 'Denied' if `ParadoxCount` is less than or equal to 5.
4. If `TimelineDeviation` is between 9 and 10:
   - Predict 'Approved' if `ParadoxCount` is greater than 2.
   - Predict 'Denied' if `ParadoxCount` is less than or equal to 2.
5. If `TimelineDeviation` is less than or equal to 9:
   - Predict 'Denied' if `ParadoxCount` is less than or equal to 3.
   - Predict 'Approved' if `ParadoxCount` equals 4.
6. If `TimelineDeviation` is exactly 11:
   - Predict 'Approved' if `ParadoxCount` is greater than 5.
7. If `TimelineDeviation` is between 11 and 12 and `ParadoxCount` is greater than 4, predict 'Approved'.
8. For all other combinations of `TimelineDeviation` and `ParadoxCount` that do not meet the criteria above, predict 'Denied'.
9. Specifically, when `TimelineDeviation` is greater than 12 and `ParadoxCount` is less than 5, always predict 'Denied'.

• Inferences: 200
• Created: 2025-04-24 03:39:16+00:00
• First inference: 2025-04-24 03:39:21+00:00
• Last inference: 2025-04-24 03:49:03+00:00
• Completed: yes
• Train accuracy: 0.65 (KT 0.188)
• Validation accuracy: 0.7 (KT 0.156)
• Test accuracy: 0.8 (KT 0.098)