Özet:

Data mining, which is effectively used in many fields, is currently rapidly increasing in the field of education. Data mining methods and models are created by classifying, grouping or creating relationships, links, statistical results between the data. When the created model comes a new record that is not in the data set it creates, it makes forecast of the newly arriving record. The accuracy of the predictions made shows the success of the model created on the data. In this study, a data set was created from surveys made to students related to the projects carried out in the Star Technical University, Computer Engineering Department, System Analysis and Design and Software Engineering course. The most successful algorithm has been identified by applying classification algorithms to this obtained data set. The objective of the study is to identify the best classification algorithm in the classification of student projects in project-based courses to increase the project success. When the most successful algorithm was identified, accuracy, MAE, RMSE and KAPPA values were taken into account. As a result, the best algorithm in the classification of the data set obtained from student projects was J48(C4.5).

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