Application of Decision Tree in Student Achievement Evaluation

Base on the large amounts of data accumulated in educational Administration system lacking intelligent data analysis tools, decision tree analysis model of student achievement was built by using decision tree algorithms in data mining, the model had been optimized by using after pruning algorithm, and classification rules had been generated, it provided basis of decision making for educational reform. Experiments showed that the classification of decision tree constructed by C4.5 algorithm had high accuracy.