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Which model when: a practical decision playbook for tabular, text, images, and small data
Model selection gets easier when you stop asking, “What is the best machine-learning model?” and ask a more useful set of questions:
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Gradient boosting from the ground up: why XGBoost and LightGBM still rule tabular data in 2026
Tabular ML has an unfashionable truth: the best model is often not the newest architecture.