Round 320

Round UUID: 0c7a3b39-e3df-41d6-82fb-5c547ae9ccdc

Prompt:

To classify an entity as either 'Fylaran' or 'Qtharri,' follow these rules:

1. Mean Orbital Radius Threshold:
   - If mean_orbital_radius > 2.8, classify as Fylaran.
   - If mean_orbital_radius ≤ 2.8, classify as Qtharri.

2. Surface Roughness Constraint:
   - If mean_surface_roughness > 400 and max_surface_roughness > 450, classify as Fylaran.
   - If mean_surface_roughness < 300 or max_surface_roughness < 400, classify as Qtharri.

3. Tidal Distortion and Cloud Turbulence Fusion:
   - If mean_tidal_distortion > 300 and mean_cloud_turbulence > 300, classify as Fylaran.
   - Otherwise, classify as Qtharri.

4. Magnetosphere Extent Exception:
   - If mean_magnetosphere_extent > 4.5 and magnetosphere_extent_error < 1.5, prioritize Fylaran.
   - If mean_magnetosphere_extent ≤ 4.5, favor Qtharri as a default.

5. Final Check Using Core Density and Ring Complexity:
   - If mean_core_density > 0.9 and mean_ring_system_complexity > 0.85, classify as Fylaran.
   - Otherwise, move towards Qtharri.

Ensure to apply these rules sequentially and override previously chosen classifications only if a subsequent rule explicitly calls for it. Use precise calculations if a feature’s value is close to a threshold. Document when a classification aligns with multiple rules to enable further refinement in future iterations.

• Inferences: 569
• Created: 2025-08-04 10:53:35.043637+00:00
• First inference: 2025-08-04 10:53:42.325622+00:00
• Last inference: 2025-08-04 10:58:12.600622+00:00
• Completed: yes
• Train accuracy: 0.7863636363636364 (KT 0.105)
• Validation accuracy: 0.6825396825396826 (KT 0.166)
• Test accuracy: 0.803030303030303 (KT 0.096)