module change_detection.evaluation.measures.time_between_false_alarms

Time Between False Alarms Measure.

This function returns the mean time between false alarms as introduced in: Bifet, Albert, et al. "CD-MOA: Change detection framework for massive online analysis." International Symposium on Intelligent Data Analysis. Springer, Berlin, Heidelberg, 2013.

Copyright (C) 2022 Johannes Haug.

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function time_between_false_alarms

time_between_false_alarms(
    evaluator: float.change_detection.evaluation.change_detection_evaluator.ChangeDetectionEvaluator,
    drifts: list,
    n_delay: int
) → float

Calculates the mean time between false alarms.

Args:

• evaluator: The ChangeDetectionEvaluator object.
• drifts: List of time steps corresponding to detected concept drifts.
• n_delay: The number of observations after a known concept drift, during which we count the detections made by the model as true positives.

Returns:

• float: The mean time between false alarms in number of observations.

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