Câu 138: DP-100: Designing and Implementing a Data Science Solution on Azure
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 MachineLearning by using automated machine learning. The training dataset that you are using is highly unbalanced. You need to evaluate the classification model. Whic…
Nội dung câu hỏi
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 MachineLearning 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?
Các lựa chọn
Đáp án được giữ gọn theo nhãn A, B, C, D trong phần bình chọn tương tác.
- A. normalized_mean_absolute_error
- B. AUC_weighted — đáp án hiện tại
- C. accuracy
- D. normalized_root_mean_squared_error
- E. spearman_correlation
Cộng đồng
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