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NEW QUESTION: 1
You are developing a linear regression model in Azure Machine Learning Studio. You run an experiment to compare different algorithms.
The following image displays the results dataset output:

Use the drop-down menus to select the answer choice that answers each question based on the information presented in the image.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation

Box 1: Boosted Decision Tree Regression
Mean absolute error (MAE) measures how close the predictions are to the actual outcomes; thus, a lower score is better.
Box 2:
Online Gradient Descent: If you want the algorithm to find the best parameters for you, set Create trainer mode option to Parameter Range. You can then specify multiple values for the algorithm to try.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/evaluate-model
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/linear-regression

NEW QUESTION: 2
Which Cisco Catalyst model should you recommend to a customer that is considered a bargain buyer?
A. 0
B. 1
C. 2
D. 3
Answer: D
Explanation:

NEW QUESTION: 3
You are designing an MVC web application.
You need to combine two existing models to create a view.
Which MVC component should you use?
A. Model
B. ViewModel
C. Controller
D. View
Answer: D

NEW QUESTION: 4


Answer:
Explanation: