Machine Learning Audit Exposes Flawed Credit Benchmarks in Digital Banking Systems
A rigorous re-evaluation reveals that reported near-perfect loan default predictions stemmed from data leakage rather than advanced deep learning models.
A rigorous re-evaluation reveals that reported near-perfect loan default predictions stemmed from data leakage rather than advanced deep learning models.
A systematic review of 42 studies finds machine learning applications to satellite carbon data have surged since 2024, dominated by ...
A stacking ensemble machine learning framework combining three diverse base algorithms and Lasso regression accurately predicts the compressive strength of ...
An explainable GeoAI framework identifies ice thickness and elevation as the dominant predictors of glacier surface velocity variability on Chhota ...
Researchers trained models to estimate allocative market efficiency from orderbook bids, asks and prices alone, without knowing traders' true reservation ...
A machine learning framework integrating drug structures, E. coli gene responses and metabolic context predicted 37 synergistic antibiotic combinations, with ...
A retrospective case-control study from a single Chinese hospital built an internally validated machine learning model using six routine blood ...
A new study finds XGBoost reduces airline route passenger-traffic forecast error by 16.72 percent versus a naive benchmark, while showing ...
A new spatiotemporal graph-based robust optimization framework reduced simulated post-disaster recovery time by 13.4% in a 2023 Türkiye–Syria earthquake case ...
Machine learning models built from 167 hospital cases of self-inflicted anterior neck injuries in young adults performed poorly at predicting ...
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© 2026 Scienmag - Science Magazine