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You are creating a classification model for a banking company to identify possible instances of...

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.

[spearman_correlation

C.

AUC.weighted

D.

accuracy

E.

normalized_root_mean_squared_error

Microsoft DP-100 Summary

  • Vendor: Microsoft
  • Product: DP-100
  • Update on: Jul 27, 2025
  • Questions: 506
Price: $52.5  $149.99
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