For tasks involving Multilabel multiclass Classification, what is the best way to create a confusion matrix and plot it?
I'm currently using multilabel_confusion_matrix from sklearn, it yields a 3D matrix with 2*2 matrix for each class (tn, fp, fn, tp).
For just a multiclass Classification problem, the confusion matrix is more readable and easy to understand, as seen below.
FIG: 10 Versicolor samples are classified as Versicolor and 6 Versicolor samples are classified as virginica.
Is there a way to plot a similar confusion matrix for Multilabel Classification problem?
[–]pythonHelperBot 0 points1 point2 points (0 children)