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A. predicting whether someone uses a bicycle to travel to work based on the distance from home to work
Explanation:
Classification is used when the output is a category or label rather than a number.
A is a classification problem because the goal is to predict a yes/no outcome (does the person use a bicycle or not), which is categorical.
Other options are not classification:
B is regression (predicting a number: cups of coffee).
C is clustering (unsupervised grouping of images by similarity).
D is regression (predicting a numerical value: minutes to run a race).