Classification metrics measure matching classification quality between a
set query examples and a set of indexed examples.
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class BinaryAccuracy: Calculates how often the query label matches the derived lookup label. -
class ClassificationMetric: Abstract base class for computing classification metrics. -
class F1Score: Calculates the harmonic mean of precision and recall. -
class FalsePositiveRate: Calculates the false positive rate of the query classification. -
class NegativePredictiveValue: Calculates the negative predictive value of the query classification. -
class Precision: Calculates the precision of the query classification. -
class Recall: Calculates the recall of the query classification.
make_classification_metric(...): Convert classification metric from str name to object if needed.