Round 245

Round UUID: 71e7eb99-39bb-452f-b735-63e7473d4e16

Prompt:

Classify the entity as either Fylaran or Qtharri based on the following rules:

1. If mean_impact_crater_count >= 0.980, classify as Qtharri

2. If mean_impact_crater_count >= 0.965 and mean_impact_crater_count < 0.980:
   - If mean_surface_roughness < 200, classify as Qtharri
   - If mean_surface_roughness >= 400, classify as Fylaran
   - Otherwise, if mean_orbital_radius >= 2.85, classify as Fylaran
   - Otherwise, classify as Qtharri

3. If mean_impact_crater_count < 0.935, classify as Fylaran

4. If mean_impact_crater_count >= 0.935 and mean_impact_crater_count < 0.965:
   - If mean_surface_roughness < 150, classify as Qtharri
   - If mean_ring_system_complexity >= 0.965, classify as Qtharri
   - If mean_ring_system_complexity < 0.915, classify as Fylaran
   - If mean_ring_system_complexity >= 0.915 and mean_ring_system_complexity < 0.965:
     * If mean_orbital_radius < 2.65, classify as Qtharri
     * If mean_orbital_radius >= 2.82, classify as Fylaran
     * If mean_orbital_radius >= 2.65 and mean_orbital_radius < 2.82:
       - If mean_surface_roughness < 250, classify as Qtharri
       - If mean_core_density >= 0.915, classify as Qtharri
       - Otherwise, classify as Fylaran

Apply these rules in order and stop at the first classification decision.

• Inferences: 569
• Created: 2025-08-02 11:42:01.854797+00:00
• First inference: 2025-08-02 11:42:20.339602+00:00
• Last inference: 2025-08-02 12:02:10.403417+00:00
• Completed: yes
• Train accuracy: 0.9 (KT 0.046)
• Validation accuracy: 0.8888888888888888 (KT 0.051)
• Test accuracy: 0.8939393939393939 (KT 0.049)