Warning while Training

In the “Training output” I saw this:

/usr/local/lib/python3.8/dist-packages/sklearn/metrics/classification.py:1436: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples.
precision = _prf_divide(tp_sum, pred_sum,

My ID is: 79256

Hi @andreas.bomholtz,

This Python warning is usually due to not enough data uploaded to your project, as it happens when there is a point in your confusion matrix that divides by zero.

You will need to upload more data, or train your model further.

– Jenny

That is strange because I have uploaded more then 1000 pictures and there is more then 100 pictures for each tag.

How should I train the model to make this work?

Hi @andreas.bomholtz,

Taking a look at your project now!

Thanks @andreas.bomholtz for the report. I thought we had suppressed all these warnings sorry :frowning:
Do you have any more lines of calling stack trace by any chance?
Cheers, Mat

1 Like

Hi Mat,

No that was all the call stack that was printet.

Best regards,