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Enhancing breast cancer prediction through stacking ensemble and deep learning integration
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Prediction of Surface Deformation Induced by Ultra-Shallow-Buried Pilot Tunnel Construction
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Predicting diabetic retinopathy based on routine laboratory tests by machine learning algorithms
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Using Machine Learning to Predict MACEs Risk in Patients with Premature Myocardial Infarction
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Predicting Individual Systems Thinking Skills Using Bayesian Network Approach
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Data quality and uncertainty issues in flood prediction: a systematic review
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Machine Learning for Dynamic Pressure Coefficient Prediction in Vertical Water Jets
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Mathematical procedure for prediction of dental anxiety in children with inherited bleeding disorders
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Interpretable prediction of stroke prognosis: SHAP for SVM and nomogram for logistic regression
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Distribution‐Based Model Evaluation and Diagnostics: Elicitability, Propriety, and Scoring Rules for Hydrograph Functionals
Published 2024-06-01“…Case in point is the so‐called KG efficiency (KGE) of Gupta et al. (2009, https://doi.org/10.1016/j.jhydrol.2009.08.003) and improvements thereof (Lamontagne et al., 2020, https://doi.org/10.1029/2020wr027101), which have rapidly gained popularity among hydrologists as alternative scoring functions to the commonly used Nash and Sutcliffe (1970, https://doi.org/10.1016/0022‐1694(70)90255‐6) efficiency, but are equally exclusive in how they quantify model performance using only single‐valued output of the quantities of interest. …”
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