Abstract:

Organizational commitment is an important concept for organizations, since the research shows that the commitment employees are more and more willing to work to these goals and goals by adopting their objectives and goals and are more willing to stay in their organizations. The aim of this study is to estimate organizational commitment using data mining techniques. For this purpose, in 2019, the data obtained by the survey method of a study aimed at determining the impact of pskelological contractual breach perception and organizational confidence on organizational liability were classified on organizational liability data by applying the CART decision tree algorithm. Python programming language and Scikit-Learn machine learning library have been used for the creation of the decision tree model and other data analysis. The research has shown that decision trees have achieved a high degree of success in predicting organizational commitment. The research results also showed which statements in the survey are more important in the prediction of organizational commitment.

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