Deciphering ML training logs in AI Center

I am trying to make sense of the outputs from training my ML model. I don’t understand why there are so many values for F1 score; can someone explain the difference between the values I’ve underlined? Thanks in advance!

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Hi @amanda.hydar

Is this an output from one of our out of the box ML models? If so, could you let us know which one? :slight_smile:

@loginerror This was built on the DocumentUnderstanding package with labelled prescriptions as the training data.

Hi @amanda.hydar this is debugging/troubleshooting information for our own engineers. It is not intended to be used by the customers. The scores you need to know about are the scores produced as output of the Evaluation pipelines, in the artifacts/eval_metrics folder. There is a evaluation_metrics.txt and an evaluation.xlsx file with side by side comparisons which are intended to be used by customers.


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