A flour-mill lab has mixed numeric and categorical columns and needs a strong off-the-shelf predictor. Which family fits that tabular science problem?
Select an answer to reveal the explanation.
Short Explanation
Mixed numeric and categorical columns, and a strong off-the-shelf predictor. Pick XGBoost: boosted trees on structured tabular data. A transformer, a graph library, or a handwritten CUDA kernel is the wrong family.
Full Explanation
XGBoost is the official skill-list family for structured data-science problems: boosted trees on mixed columns. A transformer, a graph library, or a handwritten CUDA kernel is the wrong family for that sheet.