Tag: XGBoost

A Korean two-stage sequencing study found that Non-APOE candidate variants added almost no predictive power once leakage and APOE effects ...

A new open-access database describes forest structure, biomass and silvicultural management at 583 forested sites of the French Soil Quality ...

Triaxial tests on four granular mixtures show particle shape, not gradation, dominates shear strength, with XGBoost outperforming a neural network ...

A PRISMA-guided review of 105 studies argues that moisture-driven degradation, not efficiency, is the key barrier facing perovskite solar cells ...

Adding anonymized smartphone place-visitation data to traditional demographic predictors measurably improved census-tract-level health measure estimation in a nationwide modeling study.

A GAT-XGBoost framework predicts both the occurrence and magnitude of bilateral ICT goods trade with high out-of-period accuracy, ranking export ...

A knowledge-guided machine learning framework that embeds a carbon dioxide-aware forest process model into XGBoost outperformed conventional machine learning in ...

An explainable XGBoost model retained good discrimination for 28-day mortality in a later MIMIC-IV calendar period, but early hemodynamic summaries ...

A remote sensing study of five floods between 2000 and 2020 finds that inundation expansion, not population redistribution, drove rising ...

A cluster-preserving feature selection framework cut intrusion detection features from 78 to 27 on the CICIDS2017 benchmark while Random Forest ...