(Choose 1
answer)
What is one possible reason a model may predict a higher crime rate based on datasets used?
A. If drug arrests are historically high in that area, the model may correlate crime with areas of high drug use based on the datasets
B. If crime is down in an area, a model may predict a parabolic curve which estimates crime is due to rise again
C. The model's training curve was not provided enough data
D. If a dataset isn't properly formatted, crime may be linked to the error function, outputting false data
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