202601-Overfitting_and_Generalization_Diagnostics_Summary
收藏NIAID Data Ecosystem2026-05-10 收录
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https://figshare.com/articles/dataset/202601-Overfitting_and_Generalization_Diagnostics_Summary/31042372
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资源简介：
This Excel file summarizes overfitting and generalization diagnostics for SERS-based machine-learning models of sulfonamide antibiotics (SD, SMZ, and SMT) across PVP-Au, Cys-Au, COOH-Au, and MICS. It reports training and held-out performance with gap statistics (e.g., (△ R^2), (△ MSE)) as mean ± standard deviation.
创建时间：
2026-01-10
