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Exam DP-100 topic 5 question 11 discussion

Actual exam question from Microsoft's DP-100
Question #: 11
Topic #: 5
[All DP-100 Questions]

Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
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You are creating a model to predict the price of a student's artwork depending on the following variables: the student's length of education, degree type, and art form.
You start by creating a linear regression model.
You need to evaluate the linear regression model.
Solution: Use the following metrics: Accuracy, Precision, Recall, F1 score, and AUC.
Does the solution meet the goal?

  • A. Yes
  • B. No
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Suggested Answer: B 🗳️

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evangelist
5 months, 1 week ago
Selected Answer: B
These metrics are not suitable for evaluating a linear regression model because they are designed for classification tasks, not for predicting continuous numerical values. For a linear regression model, the appropriate metrics would be: Mean Absolute Error (MAE) Root Mean Squared Error (RMSE) Relative Absolute Error (RAE) Relative Squared Error (RSE) Coefficient of Determination (R²)
upvoted 2 times
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michaelmorar
1 year, 10 months ago
Selected Answer: B
These metrics apply to classification.
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cega
2 years, 6 months ago
Those are for a classification model, not a regression model. The answer is correct
upvoted 4 times
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