Round UUID: 57e81926-501c-4b6d-a917-b9a28539392e
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. 5. If 'mean_orbital_radius' is between 2.6 and 3.0, and 'mean_surface_roughness' exceeds 500, classify as Fylaran unless 'mean_core_density' is greater than 0.89. 6. If 'mean_surface_roughness' is less than 200 and 'mean_core_density' is between 0.85 and 0.90, classify as Qtharri. 7. For edge cases not meeting the above rules: - If both 'orbital_radius_error' is less than 0.6 and 'core_density_error' is less than 0.1, classify as Fylaran. - If 'core_density_error' exceeds 0.15 and 'mean_axial_symmetry' is less than 100, classify as Qtharri. - Otherwise, classify based on the entity's proximity to its maximum observed limits: entities near 'max_orbital_radius' and 'max_core_density' tend towards Qtharri. This expanded approach incorporates additional statistical checks and nuanced sub-rules based on thresholds observed in misclassified examples, aiming to minimize false predictions.