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NEW QUESTION: 1
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.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
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: Relative Squared Error, Coefficient of Determination, Accuracy, Precision, Recall, F1 score, and AUC.
Does the solution meet the goal?
A. No
B. Yes
Answer: A
Explanation:
Explanation
Relative Squared Error, Coefficient of Determination are good metrics to evaluate the linear regression model, but the others are metrics for classification models.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/evaluate-model
NEW QUESTION: 2
Drag and drop the components of a GRE tunnel from the left into the correct order on the right when monitoring a GRE encapsulated packet.
Answer:
Explanation:
Explanation
A. Source tunnel IP headerB. Destination tunnel IP headerC. GRE headerD. Original source IP header
NEW QUESTION: 3
Which term represents the practice of giving employees only those permissions necessary to perform their specific role within an organization?
A. need to know
B. due diligence
C. least privilege
D. integrity validation
Answer: C
