Hello, first post here, let’s see how this goes.
So I’m having trouble understanding a few things about accuracy threshold. First, Jeremy says that metrics are not a part of your model and that they don’t affect predictions. Now if you set your threshold as 0.2 that means that if the final probability for a particular class is higher than 0.2 the model will classify it has having that class right? Well doesn’t that affect your predictions then? Shouldn’t it be a parameter as well in that case? If it does, then how can you choose it?
What am I missing here?
Any help would be appreciated.