ai-901 Practice Question 1045
Exam: ai-901
Domain: Describe fundamental principles of machine learning on Azure
Topic: Identify common machine learning types
Difficulty: medium
Which metric is standard for evaluating the accuracy and error rate of a regression model?
Answer Options
A
Accuracy
B
Precision
C
Root Mean Squared Error (RMSE)
D
Silhouette score
Correct Answer
C: Root Mean Squared Error (RMSE)
Explanation
Root Mean Squared Error (RMSE) evaluates regression models by measuring the difference between predicted values and actual numeric values. Metrics like Accuracy and Precision evaluate classification models.