Abstract- Students’ academic performance is critical for
educational institutions because strategic programs can be
planned in improving or maintaining students’ performance
during their period of studies in the institutions. The academic
performance in this study is measured by their cumulative
grade point average (CGPA) upon graduating. This study
presents the work of data mining in predicting the drop out
feature of students. This study applies decision tree technique
to choose the best prediction and analysis. The list of students
who are predicted as likely to drop out from college by data
mining is then turned over to teachers and management for
direct or indirect intervention