An interpretable feature-augmented stacked ensemble framework for student dropout prediction
Student dropout prediction is regarded as one of the significant research fields in educational data mining. It aids the sustainability of institutions and early interventions in schools. This study proposes an Enhanced Stacked Dropout Predictor (eSDP), which is a feature-enhanced hybrid stacking framework. The propose...