I had trained and deployed a multiclassification GBM model where the target variable had 5 classes. I changed the train set and the target changed from 5 to 4 classes. However, after I retrained the model I had deployed, the new confusion matrix is still showing me the class which was dropped (with all NAs values in the matrix).
I am sure the dataset has 4 classes because when I click "Analyse" I see the correct ones, however the model seem to keep in memory the old class too.
I had to delete my model and retrain/deploy a new one.
Please can you advice whether there is an easier way?