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Categorical features and missing values in XGBoost: the native path vs one-hot
XGBoost can learn from missing numeric values and categorical columns without forcing every project through an impute-then-one-hot pipeline. The real decision is not whether native support exists; it
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Missing data is a message: patterns, mechanisms, and honest imputation
Missing values are often treated as an inconvenience: fill them, drop them, move on.