Module eval_metrics::classification
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Provides support for both binary and multi-class classification metrics
Structs
Confusion matrix for binary classification
Confusion matrix for multi-class classification, in which rows represent predicted counts and columns represent labeled counts
Represents a full precision-recall curve
Represents a single point along a precision-recall curve
Represents a full roc curve
Represents a single point along a roc curve
Enums
Specifies the averaging method to use for computing multi-class metrics
Functions
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)