Classification can be applied when we deal with a discrete class, where the goal is to predict one of the mutually exclusive values in the target variable. An example would be credit scoring, where the final prediction is whether the person is credit liable or not. The most popular algorithms include decision trees, Naive Bayes classifiers, SVMs, neural networks, and ensemble methods.