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EntityRecognizerEvaluationMetrics - Amazon Comprehend API Reference
ContentsSee Also

EntityRecognizerEvaluationMetrics

PDF

Detailed information about the accuracy of an entity recognizer.

Contents

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.

Type: Double

Required: No

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.

Type: Double

Required: No

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.

Type: Double

Required: No

See Also

For more information about using this API in one of the language-specific AWS SDKs, see the following:

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