Exam AI-900 topic 1 question 31 discussion

Predicting numerical values without a yes or no is regression

regression for continous numerical values

On exam Jul 26, 2024

prediction of a numerical value >> regression

Prediction, Numeric Values -> Regression

regression

B is the answer. https://learn.microsoft.com/en-us/training/modules/create-regression-model-azure-machine-learning-designer/2-regression-scenarios Regression is a form of machine learning used to understand the relationships between variables to predict a desired outcome. Regression predicts a numeric label or outcome based on variables, or features. For example, an automobile sales company might use the characteristics of a car (such as engine size, number of seats, mileage, and so on) to predict its likely selling price. In this case, the characteristics of the car are the features, and the selling price is the label.

correct

B. Regression

B is correct answer : regression.

on test 14/6/22

B is correct

Regression

B is correct

Appeared on exam: 03/31/2022. Answer is correct!

scalar/numeric so regression is correct

Correct!