classification_metrics

classification_metrics(observed, modeled)

Classification metrics for two binary label vectors.

Mirrors the C# GoodnessOfFit classification statics (Accuracy/Precision/ Recall/F1Score/Specificity/BalancedAccuracy): both observed and modeled are already-binary label vectors, compared elementwise – a value equal to its counterpart counts as a match. There is no threshold argument, in Python or in C#; threshold your own series into 0/1 labels before calling this.

Parameters

Name	Type	Description	Default
observed	array_like	Numeric vectors of equal length holding binary (0/1) labels.	required
modeled	array_like	Numeric vectors of equal length holding binary (0/1) labels.	required

Returns

Name	Type	Description
	dict	Keys accuracy, precision, recall, f1, specificity, balanced_accuracy.

Examples

>>> from corehydropy import classification_metrics
>>> classification_metrics([1, 0, 1, 1, 0], [1, 0, 0, 1, 0])["accuracy"]
80.0