Viera Labudová, Faculty of Economic Informatics, University of Economics in Bratislava, Slovak Republic

Pages: 60 – 76

Abstract

Decision trees are powerful tools for classification and prediction. The attractiveness of tree-based methods is largely due to the fact that decision trees represent rules. When a decision tree is used for classification tasks (the target variable is categorical), it is referred to as a classification tree. When it is used for regression tasks (the target variable is continuous), it is called a regression tree. This article describes the structure of decision trees and the basic algorithm for their construction.