AWS SDK Version 3 for .NET
API Reference

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Detailed information about the accuracy of an entity recognizer.

Inheritance Hierarchy

System.Object
  Amazon.Comprehend.Model.EntityRecognizerEvaluationMetrics

Namespace: Amazon.Comprehend.Model
Assembly: AWSSDK.Comprehend.dll
Version: 3.x.y.z

Syntax

C#
public class EntityRecognizerEvaluationMetrics

The EntityRecognizerEvaluationMetrics type exposes the following members

Constructors

Properties

NameTypeDescription
Public Property F1Score System.Double

Gets and sets the property 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. 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.

Public Property Precision System.Double

Gets and sets the property 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.

Public Property Recall System.Double

Gets and sets the property 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.

Version Information

.NET Core App:
Supported in: 3.1

.NET Standard:
Supported in: 2.0

.NET Framework:
Supported in: 4.5, 4.0, 3.5