bob.measure.correctly_classified_negatives

bob.measure.correctly_classified_negatives((object)negatives, (float)threshold) → numpy.ndarray :

This method returns a blitz::Array composed of booleans that pin-point which negatives where correctly classified in a ‘negative’ score sample, given a threshold. It runs the formula: foreach (element k in negative) if negative[k] < threshold: returnValue[k] = true else: returnValue[k] = false