Classification is a type of Supervised Learning in which the goal is to predict a discrete output value or a class label for each input sample. Example: Classifying emails as spam or not spam.
Classification is a type of Supervised Learning in which the goal is to predict a discrete output value or a class label for each input sample. Example: Classifying emails as spam or not spam.