Missingness-Aware Heterogeneous Ensemble Learning for Compression Index Prediction Across Predefined Incomplete-Input Scenarios and Unseen Marine-Clay Sites
Reliable estimation of the compression index (Cc) is essential for settlement assessment, yet geotechnical databases often contain incomplete soil-index measurements. This study developed a missingness-aware heterogeneous ensemble that combined masked variables with binary availability indicators to predict Cc across e...