XGBoost Limitations
XGBoost excels with tabular data but falters with non-tabular datasets like images or audio unless preprocessed. For smaller datasets, simpler models such as logistic regression may be more effective. Interpretability is crucial, especially in sensitive applications like loan approvals, where customers need clear explanations for decisions.In this clip
From this podcast

Super Data Science: ML & AI Podcast with Jon Krohn
681: XGBoost: The Ultimate Classifier — with Matt Harrison
Related Questions