4 papers
Early Prediction of Student Performance Using Bayesian Updating with Informative Priors Across Cohorts
Jakob Schwerter, Amer Krivosija, Tim Novak +2
Early identification of at risk students in higher education depends on predictive models that maintain accuracy across successive cohorts -- a requirement that single-cohort model…
Adapting tree-based multiple imputation methods for multi-level data? A simulation study
Nico Föge, Jakob Schwerter, Ketevan Gurtskaia +2
When data have a hierarchical structure, such as students nested within classrooms, ignoring dependencies between observations can compromise the validity of imputation procedures.…
Which Imputation Fits Which Feature Selection Method? A Survey-Based Simulation Study
Jakob Schwerter, Andrés Romero, Florian Dumpert +1
Tree-based learning methods such as Random Forest and XGBoost are still the gold-standard prediction methods for tabular data. Feature importance measures are usually considered fo…
Interpretable Prediction Rule Ensembles in the Presence of Missing Data
Vincent Schroeder, Jakob Schwerter, Marjolein Fokkema +1
Prediction Rule Ensembles (PREs) are robust and interpretable statistical learning techniques with potential for predictive analytics, yet their efficacy in the presence of missing…