@article{article_1359789, title={The Classification of Success Performance of Entrepreneurial and Innovative Universities with Artificial Intelligence Methods}, journal={Ege Academic Review}, volume={24}, pages={577–592}, year={2024}, DOI={10.21121/eab.20240406}, author={Çoban, Berhan}, keywords={Entrepreneurial and Innovative University Index, Artificial Intelligence, Random Forest, Classification, University Performances, URAP, Research University}, abstract={Abstract The speed of circulation of educational outputs in higher education has accelerated at a dizzying pace. As a result of this, industry, production, and financial structures attach more importance to collaborations with universities in order to access and benefit from the information produced at universities faster and earlier. This new approach has brought the concept of entrepreneurship to the forefront as the most important step in economic, social, social, and technological change and development. This study examines the classification of universities based on the Entrepreneurial and Innovative University Index (EIUI) score. In addition, it also investigates the distribution of the EIU index according to the status of universities (Foundation - State) and the relationship between URAP ranking. This study classifies universities using artificial intelligence methods that have been widely used in recent years. This positioning study, while clustering EIU universities in our country, aims to provide guidance for other universities to analyze their current situation and to determine future strategies in line with their competencies and goals.}, number={4}, publisher={Ege Üniversitesi}