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Hand a giant neural network an ordinary spreadsheet — rows of customers, columns like income, age, and balance — and more often than not it loses to a humble bundle of decision trees, the kind XGBoost builds in seconds. The reason is geometry. Real tabular signal is sharp thresholds on individual columns, and a tree splits one column at a ...
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