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NEW QUESTION 32
You have the Predicted vs. True chart shown in the following exhibit.

Which type of model is the chart used to evaluate?

A. classificationB. clusteringC. regression

Answer: C

Explanation:
Explanation
What is a Predicted vs. True chart?
Predicted vs. True shows the relationship between a predicted value and its correlating true value for a regression problem. This graph can be used to measure performance of a model as the closer to the y=x line the predicted values are, the better the accuracy of a predictive model.
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-understand-automated-m

 

NEW QUESTION 33
To complete the sentence, select the appropriate option in the answer area.

Answer:

Explanation:
Explanation
Classification

 

NEW QUESTION 34
Which two components can you drag onto a canvas in Azure Machine Learning designer? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.

A. moduleB. datasetC. computeD. pipeline

Answer: A,B

Explanation:
Section: Describe fundamental principles of machine learning on Azure
Explanation:
You can drag-and-drop datasets and modules onto the canvas.
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/concept-designer

 

NEW QUESTION 35
You need to predict the sea level in meters for the next 10 years.
Which type of machine learning should you use?

A. classificationB. clusteringC. regression

Answer: C

Explanation:
Explanation
In the most basic sense, regression refers to prediction of a numeric target.
Linear regression attempts to establish a linear relationship between one or more independent variables and a numeric outcome, or dependent variable.
You use this module to define a linear regression method, and then train a model using a labeled dataset. The trained model can then be used to make predictions.
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/linear-regression

 

NEW QUESTION 36
......

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