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The model that is most likely to have a higher accuracy and higher precision, respectively, is:
A
Model A, Model B
B
Model B, Model A
C
Model A, Model A
D
Model B, Model B
Explanation:
Model accuracy measures the overall correctness of the model:
Model A has higher accuracy (0.909 vs 0.900)
Model precision measures the accuracy of positive predictions:
Model A has higher precision (0.9474 vs 0.9158)
Both accuracy and precision are higher for Model A, making Model A, Model A the correct answer.