Model Selection

Model Selection is the process of choosing between the different learning algorithms for modelling the data. For example, - for solving a classification problem the choices could be made between Logistic Regression, SVM, Tree-based algorithms etc. - for a regression problem decisions also need to be made for the degree of linear regression algorithms.