MDFT Academy Quizzes

What does MAE mean?

You are building a regression model to predict the wind speed at any point on earth during any time of the day. You have trained your wind speed model to produce predictions in km/h. The MAE of your model is 12.5.

What does this mean?

Choose the correct answer from the options below.

Please select at least one answer!

Congratulations, you are correct!

I'm sorry, your answer is not correct.

It means nothing, MAE can only be used to compare the predictive quality of two models is incorrect. We use the Root Mean Square Error (RMSE) to compare the predictive quality of two models, not the MAE.
It means the predictions have a variance of 12.5 km/h is incorrect. Mean Absolute Error (MAE) does not describe variance.
It means the predictions have a bias of 12.5 km/h is incorrect. Mean Absolute Error (MAE) does not describe bias.
It means the mean error of a prediction is 12.5 km/h is correct

Check out my video lesson to learn more about regression.

Learn about regression

2. Regression

What does MAE mean?