Uses of Interface
org.tribuo.classification.evaluation.ConfusionMatrix

Packages that use ConfusionMatrix

Package	Description
org.tribuo.classification.evaluation	Evaluation classes for multi-class classification.
org.tribuo.classification.sequence	Provides infrastructure for SequenceModels which emit Labels at each step of the sequence.
org.tribuo.multilabel.evaluation	Evaluation classes for multi-label classification using MultiLabel.

Uses of ConfusionMatrix in org.tribuo.classification.evaluation

Classes in org.tribuo.classification.evaluation that implement ConfusionMatrix

Modifier and Type	Class	Description
final class	LabelConfusionMatrix	A confusion matrix for Labels.

Methods in org.tribuo.classification.evaluation that return ConfusionMatrix

Modifier and Type	Method	Description
ConfusionMatrix<Label>	LabelMetric.Context.getCM()	Gets the confusion matrix.
ConfusionMatrix<T>	ClassifierEvaluation.getConfusionMatrix()	Returns the underlying confusion matrix.

Methods in org.tribuo.classification.evaluation with parameters of type ConfusionMatrix

Modifier and Type	Method	Description
static <T extends Classifiable<T>> double	ConfusionMetrics.accuracy(EvaluationMetric.Average average, ConfusionMatrix<T> cm)	Calculates the accuracy using the specified average type and confusion matrix.
static <T extends Classifiable<T>> double	ConfusionMetrics.accuracy(MetricTarget<T> target, ConfusionMatrix<T> cm)	Calculates the accuracy given this confusion matrix.
static <T extends Classifiable<T>> double	ConfusionMetrics.accuracy(T label, ConfusionMatrix<T> cm)	Calculates a per label accuracy given this confusion matrix.
static <T extends Classifiable<T>> double	ConfusionMetrics.balancedErrorRate(ConfusionMatrix<T> cm)	Calculates the balanced error rate, i.e., the mean of the recalls.
static <T extends Classifiable<T>> double	ConfusionMetrics.f1(MetricTarget<T> tgt, ConfusionMatrix<T> cm)	Computes the F_1 score.
static <T extends Classifiable<T>> double	ConfusionMetrics.fn(MetricTarget<T> tgt, ConfusionMatrix<T> cm)	Returns the number of false negatives, possibly averaged depending on the metric target.
static <T extends Classifiable<T>> double	ConfusionMetrics.fp(MetricTarget<T> tgt, ConfusionMatrix<T> cm)	Returns the number of false positives, possibly averaged depending on the metric target.
static <T extends Classifiable<T>> double	ConfusionMetrics.fscore(MetricTarget<T> tgt, ConfusionMatrix<T> cm, double beta)	Computes the Fscore.
static <T extends Classifiable<T>> double	ConfusionMetrics.precision(MetricTarget<T> tgt, ConfusionMatrix<T> cm)	Calculates the precision for this metric target.
static <T extends Classifiable<T>> double	ConfusionMetrics.recall(MetricTarget<T> tgt, ConfusionMatrix<T> cm)	Calculates the recall for this metric target.
static <T extends Classifiable<T>> double	ConfusionMetrics.tn(MetricTarget<T> tgt, ConfusionMatrix<T> cm)	Returns the number of true negatives, possibly averaged depending on the metric target.
static <T extends Classifiable<T>> double	ConfusionMetrics.tp(MetricTarget<T> tgt, ConfusionMatrix<T> cm)	Returns the number of true positives, possibly averaged depending on the metric target.

Uses of ConfusionMatrix in org.tribuo.classification.sequence

Methods in org.tribuo.classification.sequence that return ConfusionMatrix

Modifier and Type	Method	Description
ConfusionMatrix<Label>	LabelSequenceEvaluation.getConfusionMatrix()	Gets the confusion matrix backing this evaluation.

Uses of ConfusionMatrix in org.tribuo.multilabel.evaluation

Classes in org.tribuo.multilabel.evaluation that implement ConfusionMatrix

Modifier and Type	Class	Description
final class	MultiLabelConfusionMatrix	A ConfusionMatrix which accepts MultiLabels.

Methods in org.tribuo.multilabel.evaluation that return ConfusionMatrix

Modifier and Type	Method	Description
ConfusionMatrix<MultiLabel>	MultiLabelEvaluationImpl.getConfusionMatrix()