Interpretable near-infrared spectroscopic classification of Baijiu grades using XGBoost and multi-level XAI.
Near-infrared (NIR) spectroscopy offers a rapid and non-destructive approach for Baijiu quality evaluation, but interpreting nonlinear spectral classifiers remains challenging because NIR bands are broad, overlapping, and highly collinear. This study applied an interpretable eXtreme Gradient Boosting (XGBoost)-based NI...