AWSComprehendEntityRecognizerEvaluationMetrics Class Reference

Inherits from AWSModel : AWSMTLModel
Declared in AWSComprehendModel.h
AWSComprehendModel.m

Overview

Detailed information about the accuracy of an entity recognizer.

  f1Score

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. The highest score is 1, and the worst score is 0.

@property (nonatomic, strong) NSNumber *f1Score

Declared In

AWSComprehendModel.h

  precision

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.

@property (nonatomic, strong) NSNumber *precision

Declared In

AWSComprehendModel.h

  recall

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.

@property (nonatomic, strong) NSNumber *recall

Declared In

AWSComprehendModel.h