[Python] sklearn: multi-class problem and reporting sensitivity and specificity

I have a three-class problem and I'm able to report precision and recall for each class with the below code:

from sklearn.metrics import classification_report
print(classification_report(y_test, y_pred))


which gives me the precision and recall nicely for each of the 3 classes in a table format.

My question is how can I now get sensitivity and specificity for each of the 3 classes? I looked at sklearn.metrics and I didn't find anything for reporting sensitivity and specificity.

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