Expand description
Provides support for both binary and multi-class classification metrics
Structs§
- Binary
Confusion Matrix - Confusion matrix for binary classification
- Multi
Confusion Matrix - Confusion matrix for multi-class classification, in which rows represent predicted counts and columns represent labeled counts
- PrCurve
- Represents a full precision-recall curve
- PrPoint
- Represents a single point along a precision-recall curve
- RocCurve
- Represents a full roc curve
- RocPoint
- Represents a single point along a roc curve
Enums§
- Averaging
- Specifies the averaging method to use for computing multi-class metrics
Functions§
- m_auc
- Computes multi-class AUC as described by Hand and Till in “A Simple Generalisation of the Area Under the ROC Curve for Multiple Class Classification Problems” (2001)