nannyml.performance_calculation.metrics.binary_classification module

class nannyml.performance_calculation.metrics.binary_classification.BinaryClassificationAUROC(calculator)[source]

Bases: Metric

Area under Receiver Operating Curve metric.

Creates a new AUROC instance.

class nannyml.performance_calculation.metrics.binary_classification.BinaryClassificationAccuracy(calculator)[source]

Bases: Metric

Accuracy metric.

Creates a new Accuracy instance.

class nannyml.performance_calculation.metrics.binary_classification.BinaryClassificationF1(calculator)[source]

Bases: Metric

F1 score metric.

Creates a new F1 instance.

class nannyml.performance_calculation.metrics.binary_classification.BinaryClassificationPrecision(calculator)[source]

Bases: Metric

Precision metric.

Creates a new Precision instance.

class nannyml.performance_calculation.metrics.binary_classification.BinaryClassificationRecall(calculator)[source]

Bases: Metric

Recall metric, also known as ‘sensitivity’.

Creates a new Recall instance.

class nannyml.performance_calculation.metrics.binary_classification.BinaryClassificationSpecificity(calculator)[source]

Bases: Metric

Specificity metric.

Creates a new F1 instance.