Chemically Informed and Leakage-Aware QSPR Modeling: The 4L-QSPR Framework Applied to Aqueous Solubility Prediction
This paper introduces the 4L-QSPR framework, a leakage-aware workflow that separates endpoint-independent chemical grouping from supervised descriptor selection and nested model optimization to achieve chemically generalizable and interpretable aqueous solubility predictions with an MAE of 0.459 logS units.