AWSComprehendEntityRecognizerEvaluationMetrics

Objective-C

@interface AWSComprehendEntityRecognizerEvaluationMetrics

Swift

class AWSComprehendEntityRecognizerEvaluationMetrics

Detailed information about the accuracy of an entity recognizer.

  • A 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. For plain text entity recognizer models, the range is 0 to 100, where 100 is the best score. For PDF/Word entity recognizer models, the range is 0 to 1, where 1 is the best score.

    Declaration

    Objective-C

    @property (nonatomic, strong) NSNumber *_Nullable f1Score;

    Swift

    var f1Score: NSNumber? { get set }

  • A 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.

    Declaration

    Objective-C

    @property (nonatomic, strong) NSNumber *_Nullable precision;

    Swift

    var precision: NSNumber? { get set }

  • A measure of how complete the recognizer results are for the test data. High recall means that the recognizer returned most of the relevant results.

    Declaration

    Objective-C

    @property (nonatomic, strong) NSNumber *_Nullable recall;

    Swift

    var recall: NSNumber? { get set }