Round 30

Round UUID: 9dc76a65-27f8-4287-9b32-3525d2372f65

Prompt:

To classify an entity as Fylaran or Qtharri, use the following rules based on the mean attributes:

1. If 'mean_orbital_radius' is greater than or equal to 3.0 and 'mean_surface_roughness' is greater than or equal to 300, classify as Fylaran.
2. If 'mean_orbital_radius' is less than 2.6, regardless of other features, classify as Qtharri.
3. If 'mean_core_density' is greater than 0.90, classify as Qtharri.
4. If 'mean_core_density' is less than or equal to 0.85 and 'mean_impact_crater_count' is less than 0.95, classify as Fylaran.

For any entities that do not meet the above criteria, compare the errors as follows:
- If the 'orbital_radius_error' is less than 0.6 and 'core_density_error' is less than 0.1, classify as Fylaran.
- Otherwise, classify as Qtharri.

This approach uses distinct thresholds to improve both precision and recall by reducing ambiguity in classification criteria.

• Inferences: 569
• Created: 2025-06-24 18:45:40.001195+00:00
• First inference: 2025-06-24 18:45:52.318472+00:00
• Last inference: 2025-06-25 03:35:54.011031+00:00
• Completed: yes
• Train accuracy: 0.7545454545454545 (KT 0.123)
• Validation accuracy: 0.7301587301587301 (KT 0.137)
• Test accuracy: 0.6515151515151515 (KT 0.186)