Round 426

Round UUID: f477008a-bd90-49f1-9c76-4b717337ce87

Prompt:

Analyze the Entity Data based on the following rules and classify as 'Approved' or 'Denied'.

Rules:
1. If TimelineDeviation > 13.0 AND TimelineDeviation < 14.0 AND ParadoxCount < 3.0, predict 'Denied'.
2. Else if TimelineDeviation > 12 AND TimelineDeviation < 15 AND ParadoxCount >= 6.0 AND ParadoxCount < 7.0, predict 'Denied'.
3. Else if TimelineDeviation > 10 AND TimelineDeviation < 11 AND ParadoxCount >= 6.0 AND ParadoxCount < 6.5, predict 'Denied'.
4. Else if TimelineDeviation > 14.5 AND TimelineDeviation < 15.0 AND ParadoxCount >= 4.0 AND ParadoxCount < 4.5, predict 'Denied'.
5. Else if TimelineDeviation > 13.0 AND TimelineDeviation < 13.5 AND ParadoxCount >= 7.5 AND ParadoxCount < 8.0, predict 'Denied'.
6. Else if TimelineDeviation > 16.5 AND ParadoxCount >= 6.0, predict 'Denied'.
7. Else if TimelineDeviation > 12 AND ParadoxCount > 7.5, predict 'Denied'.
8. Else if TimelineDeviation > 7.5 AND TimelineDeviation <= 10 AND ParadoxCount >= 5.0 AND ParadoxCount < 6.0, predict 'Denied'.
9. Else if TimelineDeviation > 16 AND ParadoxCount < 3.5, predict 'Approved'.
10. Else if TimelineDeviation > 13 AND ParadoxCount < 4.0, predict 'Approved'.
11. Else if TimelineDeviation > 12 AND ParadoxCount >= 4.0, predict 'Approved'.
12. Else if TimelineDeviation > 10 AND TimelineDeviation <= 12 AND ParadoxCount >= 5.0 AND ParadoxCount < 6.0, predict 'Approved'.
13. Else if TimelineDeviation > 7.5 AND TimelineDeviation <= 12 AND ParadoxCount >= 6.0, predict 'Approved'.
14. Else if TimelineDeviation > 7.5 AND TimelineDeviation <= 10 AND ParadoxCount >= 9.0, predict 'Approved'.
15. Else if TimelineDeviation > 12.0 AND TimelineDeviation < 12.5 AND ParadoxCount >= 6.0 AND ParadoxCount < 6.5, predict 'Approved'.
16. Else if TimelineDeviation <= 8.0 AND ParadoxCount < 2.0, predict 'Approved'.
17. Else, predict 'Denied' .

• Inferences: 200
• Created: 2025-04-20 15:06:04+00:00
• First inference: 2025-04-20 15:06:13+00:00
• Last inference: 2025-04-20 15:20:08+00:00
• Completed: yes
• Train accuracy: 0.66875 (KT 0.175)
• Validation accuracy: 0.65 (KT 0.188)
• Test accuracy: 0.65 (KT 0.188)