Round 239

Round UUID: 12a27b4b-0b29-4673-bedb-ac8d8d69d9ad

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 >= 0.966 and mean_impact_crater_count < 0.980:
   - If mean_orbital_radius >= 2.85, classify as Fylaran
   - If mean_orbital_radius < 2.65, classify as Qtharri
   - Otherwise, if mean_core_density >= 0.935, classify as Fylaran
   - Otherwise, classify as Qtharri

3. If mean_impact_crater_count < 0.945, classify as Fylaran

4. If mean_impact_crater_count >= 0.945 and mean_impact_crater_count < 0.966:
   - If mean_ring_system_complexity >= 0.965, classify as Qtharri
   - If mean_ring_system_complexity < 0.920, classify as Fylaran
   - If mean_ring_system_complexity >= 0.920 and mean_ring_system_complexity < 0.965:
     * If mean_orbital_radius < 2.65, classify as Qtharri
     * If mean_orbital_radius >= 2.80, classify as Fylaran
     * If mean_orbital_radius >= 2.65 and mean_orbital_radius < 2.80:
       - If mean_surface_roughness < 200, classify as Qtharri
       - If mean_core_density >= 0.920, 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 11:17:48.269729+00:00
• First inference: 2025-08-02 11:18:18.065346+00:00
• Last inference: 2025-08-02 11:42:01.151409+00:00
• Completed: yes
• Train accuracy: 0.8727272727272727 (KT 0.059)
• Validation accuracy: 0.8888888888888888 (KT 0.051)
• Test accuracy: 0.8181818181818182 (KT 0.087)