Round 435

Round UUID: 586aa8ca-00f0-4fd1-924f-01c8a85f360f

Prompt:

Using the provided entity data, classify the entity as either 'Fylaran' or 'Qtharri' by strictly adhering to the following explicitly defined rules:

1. **Classify as 'Qtharri' if any of the following conditions are met:**  
   - Mean orbital radius > 3.0 AND Mean surface roughness > 460.  
   - Mean core density < 0.80 AND Mean axial symmetry < 250.  
   - Mean magnetosphere extent < 4.5 AND Mean axial symmetry < 300.  
   - Mean tidal distortion < 30, regardless of other conditions.  
   - Mean tidal distortion > 500 AND (Mean core density < 0.85 OR Mean ring system complexity < 0.90).  
   - Mean impact crater count < 0.80 AND Mean axial symmetry > 400.  
   - Mean tidal distortion < 300 AND Mean core density < 0.85.  
   - Mean axial symmetry < 100 AND Mean impact crater count > 0.90.  
   - **New Rule: Classify as 'Qtharri' if Mean tidal distortion > 450 AND Mean core density < 0.85 AND Mean axial symmetry > 250.**  
   - **New Rule: Classify as 'Qtharri' if Mean tidal distortion > 500 AND Mean axial symmetry <= 300 AND Mean core density < 0.90.**  
   - **New Rule: Classify as 'Qtharri' if Mean tidal distortion > 400 AND Mean impact crater count < 0.85 AND core density < 0.85.**  

2. **Classify as 'Fylaran' if any of the following conditions are met:**  
   - Mean core density > 0.95 AND Mean impact crater count > 0.90.  
   - Mean tidal distortion between 100 and 400 AND Mean impact crater count > 0.85.  
   - Mean ring system complexity > 0.95 AND Mean cloud turbulence < 140.  
   - **New Rule: Classify as 'Fylaran' if Mean tidal distortion < 150 AND Mean core density > 0.90 AND Mean axial symmetry < 300.**  
   - **New Rule: Classify as 'Fylaran' if Mean tidal distortion > 200 AND Mean core density > 0.90 AND Mean axial symmetry < 400.**  
   - **New Rule: Classify as 'Fylaran' if Mean impact crater count < 0.80 AND Mean tidal distortion between 100 and 300.**  

3. **Implement even stricter boundaries surrounding key thresholds** for Mean core density (0.80, 0.85, 0.90) and Mean impact crater count (< 0.80, 0.80-0.85, > 0.85) to further clarify conditions and reduce overlap between classifications.  

4. **Continuously assess and optimize thresholds** and classification conditions based on comprehensive performance data (precision, recall, confusion matrix) to systematically refine and minimize classification errors.

• Inferences: 569
• Created: 2025-08-09 19:14:58.751277+00:00
• First inference: 2025-08-09 19:15:38.038992+00:00
• Last inference: 2025-08-09 19:36:15.758287+00:00
• Completed: yes
• Train accuracy: 0.2772727272727273 (KT 0.556)
• Validation accuracy: 0.2222222222222222 (KT 0.652)
• Test accuracy: 0.3484848484848485 (KT 0.457)