Round UUID: 534fa739-d7b4-416c-a2a7-1dc9afa403f6
Prompt:
Using the provided entity data, classify the entity as either 'Fylaran' or 'Qtharri' by strictly adhering to the following clearly defined and unambiguous 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 to minimize false negatives.
- Mean tidal distortion between 300 and 400 AND Mean core density < 0.85 AND Mean impact crater count > 0.85 to better classify edge cases.
- Mean tidal distortion between 150 and 200 AND Mean core density < 0.80 AND Mean axial symmetry < 200 classify as 'Qtharri'.
- Introduce new rules for extreme values:
- Classify as 'Qtharri' if Mean axial symmetry < 100 AND Mean impact crater count > 0.90.
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.
- Mean core density > 0.85 AND Mean tidal distortion < 30.
- Mean orbital radius between 2.8 and 3.0 AND Mean surface roughness > 470.
- Mean surface roughness < 450 AND Mean core density > 0.85.
- Mean impact crater count > 0.90 AND Mean axial symmetry > 350.
- Mean tidal distortion > 400 AND Mean core density > 0.85 AND Mean axial symmetry > 300; classify as 'Fylaran' to reinforce certainty against false negatives.
- Classify as 'Fylaran' if axial symmetry is between 100-150 AND Mean core density > 0.80 AND Mean tidal distortion > 250 to ensure robust classifications.
3. **Implement stricter boundaries for critical thresholds** surrounding Mean core density (0.80, 0.85, 0.90) and Mean impact crater count (< 0.80, 0.80-0.85, > 0.85) to clarify classification parameters and significantly reduce ambiguity across multiple ranges.
4. **Continuously evaluate and adjust thresholds and classification conditions based on empirical performance data** (such as precision, recall, confusion matrix) to systematically minimize classification errors and ensure ongoing improvement of the classification system.