Get number of correct predictions for each class in Keras I am having unbalanced dataset(1:93) and want to use kappa's metric.
However, for that I need to capture how many correct predictions are made for each class.

I have tried understanding from here and other google links.

Is it possible to capture class wise #correct predictions made?
That's true. For understanding how many correct decision your classifier has made, confusion matrix can be used. The main diagonal illustrates that. It depicts how many data samples are correctly classified and how many are mislabeled to which class. you can take a look at here.