Supervised classification models allow to make predictions about a target random variable, which describes a feature of interest of some object, using the evidence provided by a set of descriptives variables about this object. For example, predict if an email is spam or not using the words it contains. The first part of this book presents two new contributions to the state of the art of these models. Firstly, a new semi-Naive Bayes classifier is presented which provides competitive predictions while requires very low memory resources. These properties make this model attractive for...