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Original scientific paper

CLASSIFICATION OF ENTREPRENEURIAL INTENTIONS BY NEURAL NETWORKS, DECISION TREES AND SUPPORT VECTOR MACHINES

Marijana Zekić-Sušac ; Faculty of Economics, University of J.J. Strossmayer in Osijek, Croatia
Sanja Pfeifer   ORCID icon orcid.org/0000-0002-7394-3080 ; Faculty of Economics, University of J.J. Strossmayer in Osijek, Croatia
Ivana Đurđević ; Faculty of Teacher Education, University of J.J. Strossmayer in Osijek, Croatia

Fulltext: english, pdf (329 KB) pages 62-71 downloads: 872* cite
APA 6th Edition
Zekić-Sušac, M., Pfeifer, S. & Đurđević, I. (2010). CLASSIFICATION OF ENTREPRENEURIAL INTENTIONS BY NEURAL NETWORKS, DECISION TREES AND SUPPORT VECTOR MACHINES. Croatian Operational Research Review, 1 (1), 62-71. Retrieved from https://hrcak.srce.hr/93438
MLA 8th Edition
Zekić-Sušac, Marijana, et al. "CLASSIFICATION OF ENTREPRENEURIAL INTENTIONS BY NEURAL NETWORKS, DECISION TREES AND SUPPORT VECTOR MACHINES." Croatian Operational Research Review, vol. 1, no. 1, 2010, pp. 62-71. https://hrcak.srce.hr/93438. Accessed 18 Oct. 2021.
Chicago 17th Edition
Zekić-Sušac, Marijana, Sanja Pfeifer and Ivana Đurđević. "CLASSIFICATION OF ENTREPRENEURIAL INTENTIONS BY NEURAL NETWORKS, DECISION TREES AND SUPPORT VECTOR MACHINES." Croatian Operational Research Review 1, no. 1 (2010): 62-71. https://hrcak.srce.hr/93438
Harvard
Zekić-Sušac, M., Pfeifer, S., and Đurđević, I. (2010). 'CLASSIFICATION OF ENTREPRENEURIAL INTENTIONS BY NEURAL NETWORKS, DECISION TREES AND SUPPORT VECTOR MACHINES', Croatian Operational Research Review, 1(1), pp. 62-71. Available at: https://hrcak.srce.hr/93438 (Accessed 18 October 2021)
Vancouver
Zekić-Sušac M, Pfeifer S, Đurđević I. CLASSIFICATION OF ENTREPRENEURIAL INTENTIONS BY NEURAL NETWORKS, DECISION TREES AND SUPPORT VECTOR MACHINES. Croatian Operational Research Review [Internet]. 2010 [cited 2021 October 18];1(1):62-71. Available from: https://hrcak.srce.hr/93438
IEEE
M. Zekić-Sušac, S. Pfeifer and I. Đurđević, "CLASSIFICATION OF ENTREPRENEURIAL INTENTIONS BY NEURAL NETWORKS, DECISION TREES AND SUPPORT VECTOR MACHINES", Croatian Operational Research Review, vol.1, no. 1, pp. 62-71, 2010. [Online]. Available: https://hrcak.srce.hr/93438. [Accessed: 18 October 2021]

Abstracts
Entrepreneurial intentions of students are important to recognize during the study in order to provide those students with educational background that will support such intentions and lead them to successful entrepreneurship after the study. The paper aims to develop a model that will classify students according to their entrepreneurial intentions by benchmarking three machine learning classifiers: neural networks, decision trees, and support vector machines. A survey was conducted at a Croatian university including a sample of students at the first year of study. Input variables described students’ demographics, importance of business objectives, perception of entrepreneurial carrier, and entrepreneurial predispositions. Due to a large dimension of input space, a feature selection method was used in the pre-processing stage. For comparison reasons, all tested models were validated on the same out-of-sample dataset, and a cross-validation procedure for testing generalization ability of the models was conducted. The models were compared according to its classification accuracy, as well according to input variable importance. The results show that although the best neural network model produced the highest average hit rate, the difference in performance is not statistically significant. All three models also extract similar set of features relevant for classifying students, which can be suggested to be taken into consideration by universities while designing their academic
programs.

Keywords
classification; entrepreneurial intentions; decision trees; neural networks; support vector machines

Hrčak ID: 93438

URI
https://hrcak.srce.hr/93438

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