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What is Predicting Student Performance with Data Mining about?

This document discusses using Bayesian classification algorithms to predict student performance in education. It provides an overview of different classification algorithms like decision trees, Naive Bayes, and Bayesian algorithms. The document states that classification algorithms can be applied to educational data to predict student behavior and performance. Specifically, it explores using decision tree algorithms like ID3, C4.5, CART and Bayesian algorithms to predict if students are likely to pass, fail

Author

Yathish143

Language

EN