Students’ Performance Prediction Using Genetic Algorithm
نویسندگان
چکیده
Decision tree models are commonly used in educational data mining to examine the data and induce a tree that will be used to make predictions about educational data. This study enables to obtain the decision tree models that predict the academic performance of the engineering students in contact education system. Genetic algorithm is a powerful search and optimization technique that has shown promise in obtaining good decision trees. Decision trees are evolved using greedy as well as evolutionary algorithms. The results are discussed with respect to the accuracy and size of the tree induced using genetic algorithm and J48 (from WEKA).Also the attributes that are important for prediction of First Year engineering students results are also identified.
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