cpm
The Classification and Regression Performance Metrics library
Description
For classification/ranking: ROC AUC, BEDROC AUC, Enrichment Factor, Robust Initial Enhancement, Power Metric, Matthews' Correlation Coefficient, Platt scaling.
For regression: Root Mean Squared Error, Mean Absolute Error, r^2 coefficient of determination, Raw Regression Error Characteristic Curve.
Also features a TopKeeper module; to keep in memory the top 'k' scored items when dealing with very large datasets.
Install
copied = false, 2000)"
:class="{ 'border-gray-700': !copied, 'text-gray-100': !copied, 'focus:ring-orange-500': !copied, 'focus:border-orange-500': !copied, 'border-green-600': copied, 'text-green-600': copied, 'focus:ring-green-500': copied, 'focus:border-green-500': copied }">
- Published
- 25 Aug 2022
- Authors
- Maintainers
Sources
Dependencies
Reverse Dependencies