class Aws::Rekognition::Types::EvaluationResult

The evaluation results for the training of a model.

@!attribute [rw] f1_score

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.
@return [Float]

@!attribute [rw] summary

The S3 bucket that contains the training summary.
@return [Types::Summary]

Constants

SENSITIVE