UndefinedMetricWarning: F-score is ill-defined and being set to 0.0 in labels with no predicted samples

Question

I\'m getting this weird error:

classification.py:1113: UndefinedMetricWarning: F-score is ill-defined and being set to 0.0 in labels with no predicted sample         


        

Answer 1

According to @Shovalt's answer, but in short:

Alternatively you could use the following lines of code

    from sklearn.metrics import f1_score
    metrics.f1_score(y_test, y_pred, labels=np.unique(y_pred))

This should remove your warning and give you the result you wanted, because it no longer considers the difference between the sets, by using the unique mode.