Hybrid Classification Methods for Assessing Academic Achievement

Abstract

The process of discovering useful information from large databases via natural selection is known as data mining.
One well-known area of study in educational data mining is student performance prediction. Examining the methods
for classification as a hybrid classification is the goal of the study. Random Forest, Multilayer Perceptron, C4.5, and
Radial Basis Function Network were the categorization algorithms we used.