Applying Machine Learning to Predict Midshipmen Performance
Midshipman Researcher(s): 1/C Thomas Maly
Adviser(s): Professor Randy Broussard
Poster #102
Predicting Midshipman performance help USNA identify students likely to succeed in a given environment and scope those who may need further assistance. Machine learning classifiers can improve their accuracy through experience. This project will design an artificial neural network and a Bayesian classifier to predict Midshipman performance at the Naval Academy. It uses inputs provided by the Naval Academy, including High School Data and Academic, Physical, and Military Records, to predict a various things like whether the Midshipman graduates on time or receives their desired service selection. The measured characteristic is the accuracy of the machine learning classifiers.
