One of the data mining techniques i.e., classification is an
interesting topic to the researchers as it is accurately and
efficiently classifies the data for knowledge discovery.
Decision trees are so popular because they produce
classification rules that are easy to interpret than other
classification methods. Frequently used decision tree classifiers
are studied and the experiments are conducted to find the best
classifier for prediction of student’s performance in First Year
of engineering exam. From the classifiers accuracy it is clear
that the true positive rate of the model for the FAIL class is