How do you choose a model?

Q: How do you choose a model?

This question evaluates skills in model selection, task and business-objective definition, data-property analysis, production constraint reasoning, baseline and metric design, and understanding of XGBoost's main strengths, weaknesses, and typical use cases.

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Question

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You are building machine learning features for a spreadsheet assistant. Explain how you would choose an appropriate model for a new problem.

In your answer, discuss:

how you would define the task and business objective,
what properties of the data matter when selecting a model,
what practical constraints matter in production,
how you would establish baselines and evaluation metrics,
and the main strengths, weaknesses, and typical use cases of XGBoost.

Also explain when you would prefer XGBoost over simpler linear models, random forests, or neural networks.

How do you choose a model?

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