ClassificationEvaluator#

class capymoa.evaluation.ClassificationEvaluator[source]#

Bases: object

Wrapper for the Classification Performance Evaluator from MOA. By default, it uses the BasicClassificationPerformanceEvaluator

__init__( schema: Schema = None, window_size=None, allow_abstaining=True, moa_evaluator=None, )[source]#

get_instances_seen()[source]#

update(y_target_index: int, y_pred_index: int | None)[source]#

Update the evaluator with the ground-truth and the prediction.

Parameters:

y_target_index – The ground-truth class index. This is NOT the actual class value, but the index of the class value in the schema.
y_pred_index – The predicted class index. If the classifier abstains from making a prediction, this value can be None.

Raises:

ValueError – If the values are not valid indexes in the schema.

metrics_header()[source]#

metrics()[source]#

metrics_dict()[source]#

metrics_per_window()[source]#

accuracy()[source]#

kappa()[source]#

kappa_t()[source]#

kappa_m()[source]#

f1_score()[source]#

precision()[source]#

recall()[source]#