Microsoft
DP-100 · Question #128
Drag and Drop Question You are producing a multiple linear regression model in Azure Machine Learning Studio. Several independent variables are highly correlated. You need to select appropriate…
The correct answer is Use the Filter Based Feature Selection module; Build a counting transform; Test the hypothesis using t-Test. See the full explanation below for the reasoning.
Design and prepare a machine learning solution
Question
Drag and Drop Question You are producing a multiple linear regression model in Azure Machine Learning Studio. Several independent variables are highly correlated. You need to select appropriate methods for conducting effective feature engineering on all the data. Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order. Answer:
Exhibit
Answer Area
Drag items
Evaluate the probability functionRemove duplicate rowsUse the Filter Based Feature Selection moduleTest the hypothesis using t-TestCompute linear correlationBuild a counting transform
Correct arrangement
- Use the Filter Based Feature Selection module
- Build a counting transform
- Test the hypothesis using t-Test
Topics
#Feature Engineering#Multicollinearity#PCA#Azure ML Studio
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