Ultimate access to all questions.
Upgrade Now 🚀
Sign in to unlock AI tutor
You are using Azure Machine Learning Studio to build a linear regression model and are running an experiment to evaluate different algorithms.
Which algorithm is used to minimize the variance between actual and predicted values?
A
Fast Forest Quantile Regression
B
Poisson Regression
C
Boosted Decision Tree Regression
D
Linear Regression