nullbench added to PyPI

A new tool called nullbench has been released on PyPI, designed for rigorous evaluation of decision-making processes. It allows users to pre-register choices, compare them against random chance outcomes, and avoid post-hoc adjustments or 'backfilling' of data.
Key takeaways
- Evaluate AI decisions before outcomes are known
- Compare AI choices against random chance
- Prevent post-hoc data adjustments
- Enhance reliability of AI model testing
Why it matters
This tool helps AI professionals and data scientists objectively assess the effectiveness of their AI models and decision systems. By preventing data manipulation after results are known, it ensures a more honest and reliable evaluation of predictive accuracy.




