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You're training a model to classify whether or not a bridge is likely to collapse given several factors. You have a dataset of thousands of existing bridges and their attributes, where each bridge is labeled as having collapsed or not collapsed. Only a handful of bridges in the dataset are labeled as having collapsed-the rest are labeled as not collapsed. Given your goal of minimizing bridge collapse and the severe harm it can cause,which of the following metrics would be most useful for evaluating the model?
A. Accuracy
B. Confusion matrix
C. Precision
D. Recall
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