Designing and Implementing a Data Science Solution on Azure — Question 34

You make use of Azure Machine Learning Studio to develop a linear regression model. You perform an experiment to assess various algorithms.
Which of the following is an algorithm that reduces the variances between actual and predicted values?

Answer options

• A. Fast Forest Quantile Regression
• B. Poisson Regression
• C. Boosted Decision Tree Regression
• D. Linear Regression

Correct answer: D

Explanation

Linear Regression is designed to minimize the variance between actual and predicted values by finding the best-fitting line through the data points. The other options, while useful for different types of data or problems, do not specifically focus on reducing the variance in the context of linear relationships like Linear Regression does.