During predictions, the confusion matrix seems to be broken, if there are no correct classifications for a class. Below example contained 2 samples, none of which was correctly classified.
Favored solution
Confusion matrix should show 0.0 for the falsely predicted class.
Problem
During predictions, the confusion matrix seems to be broken, if there are no correct classifications for a class. Below example contained 2 samples, none of which was correctly classified.
Favored solution
Confusion matrix should show 0.0 for the falsely predicted class.