Round 311

Round UUID: d3acccc7-bd8a-4d31-b3c9-7351001d4897

Prompt:

Using the following explicit rules, classify each entity as Fylaran or Qtharri:

1. If mean_magnetosphere_extent is greater than 4.9, classify as Fylaran.
2. If mean_magnetosphere_extent is less than 4.4, classify as Qtharri.
3. If mean_magnetosphere_extent is between 4.4 and 4.7:
   a. Classify as Fylaran if mean_cloud_turbulence is greater than 360.
   b. Classify as Qtharri if mean_cloud_turbulence is less than or equal to 360.
4. If mean_magnetosphere_extent is between 4.7 and 4.9:
   a. Prioritize Fylaran if mean_core_density is greater than 0.9 AND mean_tidal_distortion is between 400 and 600.
   b. Classify as Qtharri if mean_core_density is less than or equal to 0.85.
   c. For values in between, classify as Fylaran if mean_cloud_turbulence exceeds 400.
5. If mean_orbital_radius is greater than 3.0 and mean_surface_roughness is greater than 450, classify as Fylaran, irrespective of other conditions.
6. If mean_tidal_distortion is less than 200, classify as Qtharri unless mean_magnetosphere_extent is greater than 4.7 AND mean_cloud_turbulence exceeds 320.
7. For remaining cases where mean_tidal_distortion is greater than 400, classify as Fylaran if mean_cloud_turbulence is also greater than 300.
8. For all other cases, default to Qtharri.

These revised rules aim to address the misclassification errors observed, particularly focusing on conditional dependencies involving mean_magnetosphere_extent, mean_cloud_turbulence, and mean_tidal_distortion.

• Inferences: 569
• Created: 2025-08-04 08:06:50.699807+00:00
• First inference: 2025-08-04 08:07:00.879772+00:00
• Last inference: 2025-08-04 08:24:02.864035+00:00
• Completed: yes
• Train accuracy: 0.7727272727272727 (KT 0.112)
• Validation accuracy: 0.8253968253968254 (KT 0.084)
• Test accuracy: 0.7424242424242424 (KT 0.130)