DP-100 Exam Dumps | You are creating a classification model for a banking company to identify possible instances of credit

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Question 178/254

You are creating a classification model for a banking company to identify possible instances of credit card fraud. You plan to create the model in Azure Machine Learning by using automated machine learning.
The training dataset that you are using is highly unbalanced.
You need to evaluate the classification model.
Which primary metric should you use?

A. normalized_mean_absolute_error

B. AUC_weighted

C. accuracy

D. normalized_root_mean_squared_error

E. spearman_correlation

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