Round 127

Round UUID: 50e4c92c-a01e-41fb-88b4-b2973a6045d4

Prompt:

Predict the classification based on the following rules. Use the first rule that matches:

1. If mean_atmospheric_depth >= 6.7 AND mean_surface_roughness >= 200, predict Fylaran.
2. Else if max_atmospheric_depth >= 7.0 AND mean_surface_roughness >= 100, predict Fylaran.
3. Else if max_atmospheric_depth >= 6.8 AND mean_surface_roughness >= 100, predict Fylaran.
4. Else if mean_atmospheric_depth >= 6.2 AND mean_surface_roughness >= 350 AND max_atmospheric_depth >= 6.8, predict Fylaran.
5. Else if mean_cloud_turbulence >= 480 AND mean_axial_symmetry >= 480 AND mean_atmospheric_depth >= 6.0, predict Fylaran.
6. Else if mean_core_density >= 0.92 AND mean_atmospheric_depth < 6.2, predict Qtharri.
7. Else (if none of the above conditions is met), predict Qtharri.

Classification:

• Inferences: 569
• Created: 2025-03-31 15:08:50+00:00
• First inference: 2025-03-31 15:08:54+00:00
• Last inference: 2025-03-31 16:00:15+00:00
• Completed: yes
• Train accuracy: 0.9136363636363637 (KT 0.040)
• Validation accuracy: 0.873015873015873 (KT 0.059)
• Test accuracy: 0.8939393939393939 (KT 0.049)