The goal of a machine learning regression problem is to predict a single numeric value. For example, you might want to predict the price of a house based on its square footage, number of bedrooms, ...
A regression problem is one where the goal is to predict a single numeric value. For example, you might want to predict the annual income of a person based on their sex, age, State where they live and ...
I was composing a long reply in the original thread and it got somewhat unwieldy, so let’s move things over here: Q. Is there any way to see how the regression changes have effected the prediction at ...
Regularization aims to improve prediction performance by trading an increase in training error for better agreement between training and prediction errors, which is ...
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