Random Forest vs XGBoost

HardA/B Testing & Experimentation00:00

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Your question is Random Forest vs XGBoost. Take a moment with it on the right.

Talk me through your thinking if you like. When you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes).

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随机森林和XGBoost的区别

Asked in the round 1 stage. Reported follow-ups were: XGBoost的特征重要性怎么计算; XGBoost中，树模型怎么进行节点分裂.

Answer the question directly, then translate the model choice into a controlled comparison without assuming a particular business domain or dataset.

Explain the core algorithmic and practical differences between Random Forest and XGBoost.
Describe how XGBoost feature importance can be calculated and how a tree selects a split.
Define an illustrative A/B test with a primary metric, guardrails, MDE, sample size, and a ship decision.
State the analysis plan and identify major experimentation risks.