You need to predict the sea level in meters for the next 10 years.
Which type of machine learning should you use?
You need to predict the sea level in meters for the next 10 years.
Which type of machine learning should you use?
To predict the sea level in meters for the next 10 years, you should use regression. Regression is a type of machine learning used to predict numerical values based on past data. It establishes a relationship between one or more independent variables and a numeric outcome, allowing for predictions of future measurements based on observed trends.
Predicting numerical values without a yes or no is regression
B, regression-forecasting
B. Regression
B is correct answer : regression.
Answer is regression.
Prediction, Numeric Values -> 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
on test 14/6/22
B is correct
Appeared on exam: 03/31/2022. Answer is correct!
prediction of a numerical value >> regression
regression
B is correct
Regression
scalar/numeric so regression is correct
Correct!