In a machine learning project, you are comparing the performance of two models using cross-validation. Model A has an average cross-validated accuracy of 85% with a standard deviation of 2%, while Model B has an average cross-validated accuracy of 83% with a standard deviation of 3%. Which model would you consider to be more reliable, and why?

Simulated

Model A, because it has a higher average accuracy.

4.5%

Model B, because it has a lower standard deviation.

4.5%

Model A, because it has both a higher average accuracy and a lower standard deviation.

90.9%

Model B, because it has a higher average accuracy and a higher standard deviation.

0.0%

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