Predicting Early Dropout: Calibration and Algorithmic Fairness Considerations

Marzieh Karimi-Haghighi, Carlos Castillo, Davinia Hernandez-Leo +1

In this work, the problem of predicting dropout risk in undergraduate studies is addressed from a perspective of algorithmic fairness. We develop a machine learning method to predi…