RF03-04 Machine Learning Model for Prediction of Student Dropout Details

Start Date: 2026-03-10

End Date: 2026-03-10

This research proposes the development of a predictive analysis system based on supervised machine learning, which aims to identify patterns in data university institutions that support academic decision-making and administrative. As a result of the research, a supervised Machine Learning model will be obtained (ML model), which will be able to process the available data, learn from it, and generate reliable predictions about student trajectory and other academic phenomena of interest, such is the case of Student Desertion.