Round 332

Round UUID: 91438796-b00e-48fb-9fe2-a322f9d86466

Prompt:

The task is to classify entities as either 'Fylaran' or 'Qtharri' based on their features. Apply the following updated rules:

1. Classify as 'Fylaran' if:
   - mean_orbital_radius > 2.6
   - mean_core_density < 0.92
   - mean_ring_system_complexity <= 0.95
   - OR mean_magnetosphere_extent > 4.

2. Classify as 'Qtharri' if:
   - mean_orbital_radius <= 2.6
   - OR mean_core_density >= 0.92
   - OR mean_ring_system_complexity > 0.95.

3. For mean_orbital_radius values that fall between 2.5 and 2.7:
   - Classify as 'unknown' unless the entity clearly satisfies Fylaran (mean_core_density < 0.88 and mean_magnetosphere_extent > 4) or Qtharri (mean_core_density > 0.96 and mean_ring_system_complexity > 0.95).

4. Entities with mean_ring_system_complexity between 0.8 and 0.95 and mean_orbital_radius > 2.6 should be evaluated further:
   - Favor 'Fylaran' if mean_magnetosphere_extent > 4.2 and mean_core_density < 0.92.
   - Favor 'Qtharri' if mean_magnetosphere_extent <= 4.2 and mean_core_density > 0.9.

5. Entities with mean_core_density near overlap thresholds (e.g., 0.9 to 0.94) must also take mean_magnetosphere_extent into account:
   - Favor 'Fylaran' if mean_magnetosphere_extent > 4.5 and mean_orbital_radius > 2.7.
   - Otherwise, favor 'Qtharri.'

6. If any mandatory features (mean_orbital_radius, mean_core_density, mean_ring_system_complexity) are missing, label as 'unknown.'

Apply these updated rules consistently to reduce classification errors and eliminate ambiguous edge cases wherever possible.

• Inferences: 569
• Created: 2025-08-04 16:53:32.338259+00:00
• First inference: 2025-08-04 16:53:41.981617+00:00
• Last inference: 2025-08-04 17:10:30.280102+00:00
• Completed: yes
• Train accuracy: 0.8022727272727272 (KT 0.096)
• Validation accuracy: 0.746031746031746 (KT 0.127)
• Test accuracy: 0.7727272727272727 (KT 0.112)