Precision and F-score related errors from sklearn during cross-validation

Hi Ganesh, as for your first question, you can choose to ignore the warning. As pointed out also on Stack Overflow, this simply means that your classifier (in this case DIET) didn’t use some of the labels during prediction. In most cases, this will mean that the classifier made some mistakes, but nothing more. If you’re curious, the warning typically originates from here, and the function calls leading to it are in your case probably: rasa.nlu.test.cross_validate > rasa.nlu.test.combine_result > rasa.nlu.test.compute_metrics > rasa.nlu.test._compute_metrics > rasa.test.get_evaluation_metrics

As for the second warning, by the nature of it (a warning, not an error) I’d say it’s safe to ignore too. However, if you want to dig into it and see where the warning is coming from, I recommend looking at this Stack Overflow answer.

Let me know if you’ve got any further questions.