202601-Overfitting_and_Generalization_Diagnostics_Summary
Abstract
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.
Fields of Study & Subjects
Gold and Silver Nanoparticles Synthesis and Applications
Spectroscopy and Chemometric Analyses
SARS-CoV-2 detection and testing
Publication details
- Journal / source
- Figshare
- Publication date
- 1 January 2026
- Document type
- Dataset