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What is Enhancing STEM Enrollment Prediction about?

This document discusses improving student enrollment prediction in STEM fields using ensemble classifiers. It proposes training an ensemble of classification models from student enrollment data to improve predictive accuracy by eliminating noisy instances. The study empirically compares this ensemble technique to single model approaches and finds ensemble models provide both better predictive performance and insight into factors influencing STEM enrollment. It aims to help higher education institutions bett

Author

Stevoh

Language

EN