Imagine you want to predict if a picture is showing a cat or not. First you train your ML algorithm with examples of pictures of cats and dogs and it works. But then you want to train it to also differentiate between cats and lions, and cats and pumas (for example). My question is: would the distribution of examples be 50% cats and 50% everything else (33% dogs, 33% lions and 33% pumas) or 25% cats, 25% dogs, 25% lions and 25% pumas?
Sorry if my question is too basic. Thanks for the answers!