Guide — Model Training
Complete guide to training a spectral classifier with SpectralClassifier: available models (XGBoost, LightGBM, CatBoost, ExtraTrees…), GridSearchCV and Optuna tuning, W&B tracking, spectro_only mode, session artifacts.
2 docs tagged with "classification"
View all tagsXGBoost — Classification Performance
Results of the reference XGBoost classifier (run v6, 350k-spectrum generation G2, five types A–M): balanced accuracy, macro F1 and ROC-AUC from runs.json, per-class performance, SHAP attribution — with the Gaia/photometric features it contains — and its qualitative link with the PHY-3500 UMAP study (G1).