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When training a neural network to predict housing prices using a dataset that includes latitude and longitude, what is the most effective method to account for the influence of location on price?
A
Directly inputting latitude and longitude as vectors into the neural network
B
Generating a numeric column by crossing latitude and longitude features
C
Crossing latitude and longitude features, bucketizing at the minute level, and applying L1 regularization during optimization
D
Crossing latitude and longitude features, bucketizing at the minute level, and applying L2 regularization during optimization
