Uber Data Scientist Mock Interview
Practice 30 Uber Data Scientist interview questions covering experimentation, machine learning, and product analytics.
Question 23 of 30
Do you follow the hypothesis that many small decision trees are more accurate than one large one?
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William Swansen has worked in the employment assistance realm since 2007. He is an author, job search strategist, and career advisor who helps individuals worldwide and in various professions to find their ideal careers.
This is an example of a follow-up question that the Uber interviewer asks to expand on a previous question you answered. You should always anticipate follow-up questions during an interview. Keeping your answers short and to the point will encourage the interviewer to ask follow-up questions before moving on to the next question. This is beneficial if you have in-depth knowledge about a topic and want to spend some time on it.
William Swansen has worked in the employment assistance realm since 2007. He is an author, job search strategist, and career advisor who helps individuals worldwide and in various professions to find their ideal careers.
"No. I believe just the opposite. The larger a decision tree is, the more accurate it is as a decision process model. Small decision trees can cause problems because the options are limited, and the model may not fit the problem. If possible, I would create a model that looks more like a forest than a tree with multiple options and a distinct direction to help you navigate the woodland."
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