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Until now, we have been saving only the global accuracy and loss of the models.
As the multipartner learning scenarios are getting more complex, it would be interesting to evaluate the performance of the federated models per class, for example by saving the confusion matrix in the results.
The text was updated successfully, but these errors were encountered:
Until now, we have been saving only the global accuracy and loss of the models.
As the multipartner learning scenarios are getting more complex, it would be interesting to evaluate the performance of the federated models per class, for example by saving the confusion matrix in the results.
The text was updated successfully, but these errors were encountered: