Round 331

Round UUID: beade798-7049-4335-9a5b-a3ab70f3dec5

Prompt:

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

1. Classify as 'Fylaran' if the mean_orbital_radius is > 2.6 and the mean_core_density is < 0.92, and mean_ring_system_complexity is <= 0.95, OR if mean_magnetosphere_extent > 4.

2. Classify as 'Qtharri' if the mean_orbital_radius is <= 2.6 OR the mean_core_density is >= 0.92, OR if mean_ring_system_complexity > 0.95.

3. If mean_orbital_radius falls between 2.5 and 2.7, classify it as 'unknown' unless the entity has BOTH mean_core_density < 0.88 (favor Fylaran) OR mean_core_density > 0.96 (favor Qtharri). If these additional criteria are not met, keep the label as 'unknown.'

4. If any of the mandatory features are missing (mean_orbital_radius, mean_core_density, mean_ring_system_complexity), label the entity as 'unknown' and do not classify.

5. In edge cases where mean_ring_system_complexity falls between 0.8-0.95 and mean_orbital_radius > 2.6, evaluate against both mean_magnetosphere_extent and mean_core_density: 
  - If mean_magnetosphere_extent < 4 and mean_core_density > 0.9, favor 'Qtharri.'
  - If mean_magnetosphere_extent >= 4 and mean_core_density < 0.92, favor 'Fylaran.'

Apply these rules consistently to reduce classification errors and ambiguities.

• Inferences: 569
• Created: 2025-08-04 16:48:01.669775+00:00
• First inference: 2025-08-04 16:48:11.940890+00:00
• Last inference: 2025-08-04 16:53:31.866142+00:00
• Completed: yes
• Train accuracy: 0.7454545454545455 (KT 0.128)
• Validation accuracy: 0.6984126984126984 (KT 0.156)
• Test accuracy: 0.6666666666666666 (KT 0.176)