I have a classification problem, where I initially started with 100+ class labels. My intuition told me this is too many labels for a model to predict with good accuracy. I thought grouping the labels together will help the situation and it did, there is now only 19 class labels. Is 19 still too many class labels? What are the typical signs that there are too many labels for a model to predict and how can this be addressed, if there is too many class labels?
Signs there are too many class labels
machine learning;multiclass classification