Round 129

Round UUID: 04937cd3-a387-49ca-acf1-9891fe39703e

Prompt:

Analyze the entity data and predict whether it should be Approved or Denied based on these rules:

1. If TimelineDeviation >= 16.0:
   - If ParadoxCount >= 5.9 and ParadoxCount <= 6.1, predict Denied
   - Otherwise, predict Approved

2. If TimelineDeviation >= 14.0 and TimelineDeviation < 16.0:
   - If ParadoxCount < 2.5, predict Denied
   - If ParadoxCount >= 2.5 and ParadoxCount <= 6.0, predict Approved
   - If ParadoxCount > 6.0 and ParadoxCount <= 7.0, predict Denied
   - If ParadoxCount > 7.0, predict Approved

3. If TimelineDeviation >= 12.0 and TimelineDeviation < 14.0:
   - If ParadoxCount < 3.3, predict Denied
   - If ParadoxCount >= 3.3 and ParadoxCount < 3.4, predict Denied
   - If ParadoxCount >= 3.4 and ParadoxCount < 6.1, predict Approved
   - If ParadoxCount >= 6.1 and ParadoxCount < 7.5, predict Denied
   - If ParadoxCount >= 7.5, predict Approved

4. If TimelineDeviation >= 9.0 and TimelineDeviation < 12.0:
   - If ParadoxCount < 4.5, predict Denied
   - If ParadoxCount >= 4.5 and ParadoxCount < 5.5, predict Approved
   - If ParadoxCount >= 5.5 and ParadoxCount < 6.5, predict Denied
   - If ParadoxCount >= 6.5, predict Approved

5. If TimelineDeviation < 9.0:
   - If ParadoxCount < 1.0, predict Denied
   - If ParadoxCount >= 1.0 and ParadoxCount < 2.0, predict Approved
   - If ParadoxCount >= 2.0 and ParadoxCount < 6.5, predict Denied
   - If ParadoxCount >= 6.5, predict Approved

Apply these rules in order and make your prediction based on the first rule that matches.

• Inferences: 200
• Created: 2025-06-25 00:24:58.164935+00:00
• First inference: 2025-06-25 00:25:22.517969+00:00
• Last inference: 2025-06-25 00:37:02.618394+00:00
• Completed: yes
• Train accuracy: 0.78125 (KT 0.108)
• Validation accuracy: 0.85 (KT 0.071)
• Test accuracy: 0.7 (KT 0.156)