This research aims to study the comparative of
classification choosing the career in undergraduate
students after graduated. In this research used the data
set of the status having the job of graduates,
the data set of students for undergraduate after
graduation from Faculty of Informatics
Mahasarakham university from 2007-2011 years. The
total of data set have 12 attributes and 2,515 record. This
research using techniques Decision tree, Artificial
neural network and Naive bayes. The results from the
model which showed that the highest accuracy is
Decision tree with 89.45% but Artificial neural network
and Naive bayes is 86.85% and 80.52% respectively.