Bootstrap validation of diagnostic performance for XGBoost, SVM, and LASSO models.
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https://figshare.com/articles/dataset/_p_Bootstrap_validation_of_diagnostic_performance_for_XGBoost_SVM_and_LASSO_models_p_/31317596
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This table summarizes the results of bootstrap resampling (n = 1000) for the three machine learning–based diagnostic models. The mean AUC and 95% confidence intervals (CI) are reported for XGBoost, SVM, and LASSO models, demonstrating internal stability and robustness of the identified metabolite panels in distinguishing CHB+MASLD patients from healthy controls. (XLSX)
创建时间：
2026-02-11
