Round 71

Round UUID: 3825e34c-c139-459f-be44-7e376dba1db9

Prompt:

Given the entity data provided, which includes attributes like mean orbital radius, surface roughness, and others along with their respective error values, design a regression model to predict a target variable (e.g., a score or an index) that represents the overall characteristics of the entities. Consider applying feature engineering techniques such as normalization, scaling, or dimensionality reduction to improve the model's performance.

• Inferences: 569
• Created: 2025-03-18 17:55:56+00:00
• First inference: 2025-03-18 17:56:02+00:00
• Last inference: 2025-03-18 18:29:48+00:00
• Completed: yes
• Train accuracy: 0.425 (KT 0.371)
• Validation accuracy: 0.4444444444444444 (KT 0.352)
• Test accuracy: 0.5757575757575758 (KT 0.240)