Question: A company wants to develop a model to predict housing prices in a particular city. They gather a dataset that includes various features such as

A company wants to develop a model to predict housing prices in a particular city. They gather a dataset that includes various features such as the number of bedrooms, square footage, neighborhood, proximity to amenities, and the color of the front door. What data challenge would BEST represent this situation? Question 14 options: Irrelevant features Insufficient quantity of training data Poor-quality data Nonrepresentative training data

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