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 and Description
class	LabelConfusionMatrix A confusion matrix for Labels.

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

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

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

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

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

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