sklearn-evaluation
Evaluate machine learning models with ease using sklearn-evaluation, which provides features like plots, HTML reports, experiment tracking, and Jupyter notebook integration. Compatible with Python 3.7 and above, it includes tools for plotting confusion matrices, feature importance, and precision-recall curves, along with report generation and grid search evaluation. Its SQLite-based tracking and SQL notebook queries are ideal for data scientists seeking comprehensive model assessment.
