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In a classification problem, you are comparing the performance of two models using the confusion matrix. Model A has a confusion matrix of [[85, 5], [15, 20]], while Model B has a confusion matrix of [[80, 10], [10, 30]]. Which model would you consider to be more accurate, and why?
A
Model A, because it has a higher number of true positives.
B
Model B, because it has a higher number of true positives and true negatives.
C
Model A, because it has a higher accuracy.
D
Model B, because it has a higher accuracy.