I have a Naive Bayes model that predicts 3 classes. As you increase each class it means that the condition is more severe. 0 means no condition, 1 is concern and 2 is that they have the condition. I have a model built but I am not sure how to correctly validate the accuracy.
Since 2 is further away from 0 it is less bad if a model classifies a 2 as a 1 instead of a zero. This means that my raw accuracy score is not completely correct.
Any help would be appreciated!