Spectral classification of OB-type stars using tree-based ensemble methods and evaluation of their explainability

arXiv:2609.18590 · astro-ph.SR · Submitted 2026-09-16 · Read on arXiv

astro-ph.SR

Submitted: 2026-09-16

Updated: 2026-09-16

Comments: 12+6 pages, 9+4 figures, 2+5 tables. Submitted to A&A. Version updated after first interaction with the referee

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Accuracy — 22× in this paper · explained in 1 episode
• SHAP values — 9× in this paper · explained in 2 episodes
• Interpretability — 8× in this paper · explained in 15 episodes
• Generalization — 7× in this paper · explained in 13 episodes
• Robustness — 5× in this paper · explained in 5 episodes
• Consistency — 4× in this paper · explained in 3 episodes
• Aggregation — 2× in this paper · explained in 1 episode
• Calibration — 2× in this paper · explained in 7 episodes
• European Southern Observatory — 2× in this paper
• Explainability — 2× in this paper · explained in 3 episodes
• F1 Score — 2× in this paper · explained in 3 episodes
• Loss Function — 2× in this paper · explained in 2 episodes
• Regularization — 2× in this paper · explained in 3 episodes
• Transfer Learning — 2× in this paper · explained in 10 episodes
• Abundance — 1× in this paper · explained in 1 episode
• Adaptation — 1× in this paper · explained in 1 episode
• Bayesian Framework — 1× in this paper · explained in 3 episodes
• Bayesian Inference — 1× in this paper · explained in 5 episodes
• Convolutional Neural Networks (CNNs) — 1× in this paper · explained in 2 episodes
• Degeneracy — 1× in this paper · explained in 3 episodes
• Domain Adaptation — 1× in this paper · explained in 5 episodes
• Ensemble Approach — 1× in this paper · explained in 3 episodes
• Feature Extraction — 1× in this paper · explained in 2 episodes
• Hierarchical Classification — 1× in this paper · explained in 2 episodes
• Homogenization — 1× in this paper · explained in 2 episodes
• Information Gain — 1× in this paper · explained in 2 episodes
• Kernel Density Estimation — 1× in this paper
• Meta-learning — 1× in this paper · explained in 2 episodes
• Objective Function — 1× in this paper · explained in 2 episodes
• Provenance — 1× in this paper · explained in 3 episodes
• Semi-supervised Learning — 1× in this paper · explained in 4 episodes
• Spectral Signature — 1× in this paper · explained in 2 episodes

Sources

• Quantitative spectroscopy of single and multiple OB-type stars. Non-LTE spectrum analysis with machine learning
• On the evolutionary nature of massive B-type supergiants: a modern empirical reappraisal using data from IACOB, Gaia and TESS
• The Nineteenth Data Release of the Sloan Digital Sky Survey
• How large spectroscopic surveys are shaping our understanding of massive stars

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