Predicting Study Programme Selection with Data Mining Classification Technique

The application of data mining in the field education (Educational Data Mining - EDM) is becoming more and popular. Predicting final grades during studies, measuring student lecturer performance, targeting students, curriculum improvement, are just some examples that can support development this area. focus article on prediction study programme students will select their higher at Faculty Business Economics Bijeljina. analysis was conducted faculty wherein first two years attend same courses, while beginning third year they a specific programme. aim paper to use classification methods predict selected based achieved courses study. highest accuracy obtained using random forest algorithm (59,94%). Model evaluation results show choice does not depend only success all performed open-source WEKA tool, were presented interpreted.