Discriminant analysis is a purely statistical approach to the classification problem. The core function of the Discriminant Analysis Module is to support binary classification by the estimation of a so-called discriminant function. In the present settings the module supports binary linear discriminant analysis, so it can be used to perform binary classification tasks, similarly to the Logistic Regression module. However, the user should keep in mind that these two models are based on different assumptions concerning the learning data and thus their relative performance can vary, depending on whether these assumptions are fulfilled or not (refer also to the section model assumptions below).