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Kaggle Inc xgboost
Xgboost, supplied by Kaggle Inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/xgboost/xgboost/pmc13199259-95-7-16
Average 86 stars, based on 1 article reviews
xgboost - by Bioz Stars, 2026-09
86/100 stars

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Biomarker Discovery:

Article Title: Electrochemical noise-based data mining to environmental Cl - concentration measurement of reinforced concrete structure under stray current interference.
Article Snippet: .. In addition, its built-in cross validation function and ability to automatically handle missing values make XGBoost perform well in various complex data modeling tasks, and is one of the commonly used algorithms in Kaggle and other data science competitions [30]. ..

Article Title: Electrochemical noise-based data mining to environmental Cl − concentration measurement of reinforced concrete structure under stray current interference
Article Snippet: .. In addition, its built-in cross validation function and ability to automatically handle missing values make XGBoost perform well in various complex data modeling tasks, and is one of the commonly used algorithms in Kaggle and other data science competitions . ..

other:

Article Title: Distinguishing amyotrophic lateral sclerosis from radiculopathy using machine learning to analyze nerve conduction data.
Article Snippet: XGBoost is an algorithm that has recently become more important in applied machine learning and Kaggle competitions for structured or tabular data.

Article Title: Distinguishing amyotrophic lateral sclerosis from radiculopathy using machine learning to analyze nerve conduction data
Article Snippet: XGBoost is an algorithm that has recently become more important in applied machine learning and Kaggle competitions for structured or tabular data.

Article Title: Heart disease prediction using hybrid TabNet architecture with stacked ensemble learning
Article Snippet: Kaggle , XGBoost , 0.82 [0.81–0.83] , 0.022.

Article Title: Fetal health state detection method based on parameters efficient ensembling of deep learning
Article Snippet: In the task of classifying tabular data, XGBoost often stands out as the top method in Kaggle's machine learning competitions ( ).



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XGBoost and SHAP modeling of clearance parameter for the Reference scenario; a. beeswarm plot of SHAP values and b. BorutaShap boxplot.

Journal: CPT: Pharmacometrics & Systems Pharmacology

Article Title: Stochastic Gates for Covariate Selection in Population Pharmacokinetics Modeling

doi: 10.1002/psp4.70147

Figure Lengend Snippet: XGBoost and SHAP modeling of clearance parameter for the Reference scenario; a. beeswarm plot of SHAP values and b. BorutaShap boxplot.

Article Snippet: In Ogami C et al. 2021 [ ], an artificial neural network (NN) was used to model individual random effects based on covariates, with SHAP (SHapley Additive exPlanations) [ ] values employed to explain the model. Janssen A et al. 2022 [ ] employed an XGBoost [ ] model instead of a NN.

Techniques: