The sharp-cv library is now available on PyPI for model comparison. It implements a split-half cross-validation test to evaluate performance differences between machine learning models. This utility provides a standardized way to verify if one model statistically outperforms another.
The Signal
Practitioners can now integrate this specific validation method directly into their Python-based evaluation pipelines.