Round 37

Round UUID: 965a37be-9e1c-484e-b126-4adcb9c43b55

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 16:
   - Predict 'Denied' if `ParadoxCount` is less than 6.0.
   - Predict 'Approved' only if `ParadoxCount` is strictly greater than 6.0.

2. If `TimelineDeviation` is between 14 and 16:
   - Predict 'Denied' if `ParadoxCount` is less than 6.0.
   - Predict 'Approved' if `ParadoxCount` is strictly greater than 6.0.
   - If `ParadoxCount` is between 5.5 and 6.0, predict 'Require Further Review'.

3. If `TimelineDeviation` is between 12 and 14:
   - Predict 'Denied' if `ParadoxCount` is less than 5.5.
   - Predict 'Approved' if `ParadoxCount` is strictly greater than 6.0.
   - If `ParadoxCount` is between 5.5 and 6.0, predict 'Require Further Review'.
   - If `TimelineDeviation` is exactly 12.5 and `ParadoxCount` is exactly 6.0, predict 'Approved'.

4. If `TimelineDeviation` is between 10 and 12:
   - Predict 'Denied' if `ParadoxCount` is less than 5.5.
   - Predict 'Approved' if `ParadoxCount` is strictly greater than 6.0.
   - Require review if `ParadoxCount` is exactly 5.5.

5. If `TimelineDeviation` is between 9 and 10:
   - Predict 'Denied' if `ParadoxCount` is less than 4.0.
   - Predict 'Approved' only if `ParadoxCount` is greater than or equal to 5.0.
   - Require review if `ParadoxCount` is between 4.0 and 5.0.

6. If `TimelineDeviation` is less than or equal to 9:
   - Predict 'Denied' if `ParadoxCount` is less than 4.0.
   - Predict 'Approved' only if `ParadoxCount` is exactly 4.0 when `TimelineDeviation` is 9 or less.
   - Require review if `ParadoxCount` is between 4.0 and 5.0.

7. Implement a condition where if `TimelineDeviation` is between 11 and 12 and `ParadoxCount` is less than 6 but strictly greater than 5.5, require further review.

8. Any cases where `TimelineDeviation` is greater than 12 and `ParadoxCount` is less than 6 should always predict 'Denied'.

9. For cases that do not meet the above criteria, predict 'Denied' requiring justification and specifying evidence needed for approval timeframe.

• Inferences: 200
• Created: 2025-04-24 16:51:27+00:00
• First inference: 2025-04-24 16:51:31+00:00
• Last inference: 2025-04-24 17:00:20+00:00
• Completed: yes
• Train accuracy: 0.55 (KT 0.260)
• Validation accuracy: 0.65 (KT 0.188)
• Test accuracy: 0.7 (KT 0.156)