why is it necessary to regularize a classifier why would a classifier be penalized for extreme predictions does regularization affect the probability which type of function is a regularized loss function? can bernoulli likelihood be penalized does bernoulli likelihood regularize the classifier? which is wrong when the classifier assigns probabilities to a class when a classifier is regularized it always gives a value is it wrong to penalize the model for making extreme prediction should a classifier be penalized what is regularized loss in classifier why would you penalize the classifier why is it important to regularize a classification classifier why is loss function considered a bernoulli likelihood why is the classifier regularized why should a classifier be regularized what is the difference between a regularized and a regularized classifier can you penalize a classifier for being a classifier what is the difference between a regularised loss function and a regularized loss function is regularized loss function a problem