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Hello,
Yes, this is expected behavior due to multiple factors. One major contributor could be changes in the threshold value. The Custom Labels feature implements custom logic to compute optimal thresholds for each training iteration, hence variations are reflected in the Precision and Recall calculations. Further details can be found in the summary file, which contains the threshold values computed per training run.
Reference can be found here
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