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 ...

For testing general linear hypotheses in multiple regression models, it is shown that non-stochastically shrunken ridge estimators yield the same central F-ratios and t-statistics as does the least ...

Regularization aims to improve prediction performance by trading an increase in training error for better agreement between training and prediction errors, which is ...