fatf.utils.metrics.metrics.multiclass_false_positive_rate

fatf.utils.metrics.metrics.multiclass_false_positive_rate(confusion_matrix: numpy.ndarray, label_index: int) → float

Calculates the “false positive rate” for a multi-class confusion matrix.

See the documentation of fatf.utils.metrics.tools.validate_confusion_matrix for all the possible errors and exceptions.

Parameters

confusion_matrixnumpy.ndarray

A confusion matrix based on which the metric will be computed.

label_indexinteger

The index of a label that should be treated as “positive”. All the other labels will be treated as “negative”.

Returns

metricnumber

The “false positive rate”.