# EvaluationResult
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The evaluation results for the training of a model.

## Contents
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 ** F1Score **   <a name="rekognition-Type-EvaluationResult-F1Score"></a>
The F1 score for the evaluation of all labels. The F1 score metric evaluates the overall precision and recall performance of the model as a single value. A higher value indicates better precision and recall performance. A lower score indicates that precision, recall, or both are performing poorly.   
Type: Float  
Required: No

 ** Summary **   <a name="rekognition-Type-EvaluationResult-Summary"></a>
The S3 bucket that contains the training summary.  
Type: [Summary](API_Summary.md) object  
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/rekognition-2016-06-27/EvaluationResult) 
+  [AWS SDK for Java V2](https://docs.aws.amazon.com/goto/SdkForJavaV2/rekognition-2016-06-27/EvaluationResult) 
+  [AWS SDK for Ruby V3](https://docs.aws.amazon.com/goto/SdkForRubyV3/rekognition-2016-06-27/EvaluationResult)