NCA-AIIO practice question 18 of 25
A financial institution is deploying two different machine learning models to predict credit defaults. The models are evaluated using Mean Squared…
Choose your answer, then check it against the explanation.
A financial institution is deploying two different machine learning models to predict credit defaults.
The models are evaluated using Mean Squared Error (MSE) as the primary metric. Model A has an
MSE of 0.015, while Model B has an MSE of 0.027. Additionally, the institution is considering the
complexity and interpretability of the models. Given this information, which model should be
preferred and why?
Question 18 of 25
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