User guideΒΆ
- Concepts
- Measures and their properties
- Aggregation: operators, conventions and folds
- Diagnostics
- Soft labels and annotator proportions
- Ordinal and cost-sensitive evaluation
- Comparing models
- Your own measures
- Choosing which measures to report
- What if the classes were more or less frequent?
- Positive-unlabeled data
- scikit-learn integration