# EntityRecognizerEvaluationMetrics
<a name="API_EntityRecognizerEvaluationMetrics"></a>

Detailed information about the accuracy of an entity recognizer. 

## Contents
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 ** F1Score **   <a name="comprehend-Type-EntityRecognizerEvaluationMetrics-F1Score"></a>
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 name="comprehend-Type-EntityRecognizerEvaluationMetrics-Precision"></a>
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 name="comprehend-Type-EntityRecognizerEvaluationMetrics-Recall"></a>
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
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For more information about using this API in one of the language-specific AWS SDKs, see the following:
+  [AWS SDK for C\$1\$1](https://docs.aws.amazon.com/goto/SdkForCpp/comprehend-2017-11-27/EntityRecognizerEvaluationMetrics) 
+  [AWS SDK for Java V2](https://docs.aws.amazon.com/goto/SdkForJavaV2/comprehend-2017-11-27/EntityRecognizerEvaluationMetrics) 
+  [AWS SDK for Ruby V3](https://docs.aws.amazon.com/goto/SdkForRubyV3/comprehend-2017-11-27/EntityRecognizerEvaluationMetrics)