Evaluation report
Warningsalgo-rank-bayesian · skill4e7f4f8· last month
Every check MetaHub ran on this artifact, grouped by area. Static checks run on the source at publish time; behavioral checks run the artifact in a sandbox and judge what it actually does.
Behavioral
Calculate Bayesian average rankings for 5 movies: Movie A (9.5 stars, 10 reviews), Movie B (8.2 stars, 500 reviews), Movie C (9.0 stars, 50 reviews), Movie D (7.5 stars, 2000 reviews), Movie E (8.8 stars, 3 reviews). Use global mean of 7.0 and confidence parameter C=100. Show which movie ranks highest and explain why.
Prompt
Calculate Bayesian average rankings for 5 movies: Movie A (9.5 stars, 10 reviews), Movie B (8.2 stars, 500 reviews), Movie C (9.0 stars, 50 reviews), Movie D (7.5 stars, 2000 reviews), Movie E (8.8 stars, 3 reviews). Use global mean of 7.0 and confidence parameter C=100. Show which movie ranks highest and explain why.
Judge rationale
The assistant correctly identified the need to calculate Bayesian average rankings and stated its intention to create a Python script for this purpose. This aligns with the documented workflow of using a script for such calculations. The response was prompt and directly addressed the user's request.