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The assumed threshold for each label is the value above which a prediction is counted as a true or false positive. The metric is calculated based on the best F1 score achieved on the test dataset during model training. For more information, see the Assumed threshold section in the Rekognition Custom Labels guide.
To get the assumed thresholds programmatically, use the Rekognition SDK. The assumed thresholds are listed in the summary file output.