Machine Learning.
learning the distribution! Change the error →not symmetric. When we have cases → where predicting one class is MUCH MUCH worse than the other case around. And we can derive the theoretical limit as well. Simple as cross-entropy → weighted. (another method → is doing the post preprocessing after the