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NAMEPaws::Comprehend::EntityRecognizerEvaluationMetrics USAGEThis class represents one of two things: Arguments in a call to a service Use the attributes of this class as arguments to methods. You shouldn't make instances of this class. Each attribute should be used as a named argument in the calls that expect this type of object. As an example, if Att1 is expected to be a Paws::Comprehend::EntityRecognizerEvaluationMetrics object: $service_obj->Method(Att1 => { F1Score => $value, ..., Recall => $value }); Results returned from an API call Use accessors for each attribute. If Att1 is expected to be an Paws::Comprehend::EntityRecognizerEvaluationMetrics object: $result = $service_obj->Method(...); $result->Att1->F1Score DESCRIPTIONDetailed information about the accuracy of an entity recognizer. ATTRIBUTESF1Score => NumA measure of how accurate the recognizer results are for the test data. It is derived from the "Precision" and "Recall" values. The "F1Score" is the harmonic average of the two scores. The highest score is 1, and the worst score is 0. Precision => NumA measure of the usefulness of the recognizer results in the test data. High precision means that the recognizer returned substantially more relevant results than irrelevant ones. Recall => NumA measure of how complete the recognizer results are for the test data. High recall means that the recognizer returned most of the relevant results. SEE ALSOThis class forms part of Paws, describing an object used in Paws::Comprehend BUGS and CONTRIBUTIONSThe source code is located here: <https://github.com/pplu/aws-sdk-perl> Please report bugs to: <https://github.com/pplu/aws-sdk-perl/issues>
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