A comparison of artificial neural network and decision tree for profitability in technology sector

Profitability is always amain consideration for businesses. Business and academicians have researched in order to determine the factors affecting profitability due to the importance of this issue. In this study, return on assets is modeled and compared with two different methods. Artificial Neural Network and Decision Tree are established with financial Statements of technology sector on BIST (Borsa Istanbul). The two models were evaluated in the study. Their strengths relative to each other were determined.