Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking, and Jupyter notebook analysis.
Supports Python 3.6 and higher.
pip install sklearn-evaluation- Plotting (confusion matrix, feature importances, precision-recall, roc)
- Report generation (example)
- Evaluate grid search results
- Track experiments using a local SQLite database
- Analyze notebooks output
