Explanation:
To predict the fare of a taxi journey, the most relevant feature is the trip distance of each journey. The distance directly influences the fare, making it an important input for the model. In contrast, the number of taxi journeys, the fare amount of individual journeys, and the unique trip IDs do not logically contribute to predicting a specific fare. Therefore, the correct answer is option B.
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Given a dataset of taxi journeys, which feature is most suitable for training a model to predict the fare of a journey?
A
Count of all taxi journeys
B
Distance of each trip
C
Fare amount of each trip
D
Unique ID for each trip