Regressori

Regressori is a term that can refer to several concepts, primarily within the fields of statistics and computer science.

In statistics, a regressori is a variable used in regression analysis. Regression analysis is a statistical method used to model the relationship between a dependent variable and one or more independent variables. The independent variables, also known as regressors or predictors, are used to explain or predict the variation in the dependent variable. For example, in a study examining the relationship between years of education and income, years of education would be the regressori, and income would be the dependent variable. Different types of regression models exist, such as linear regression and logistic regression, each employing regressori in distinct ways to establish relationships.

In computer science, particularly in machine learning, the term regressori can also be used in a similar context. A regressori is an input feature or attribute that contributes to predicting a target value. When building a regression model to predict a continuous output, the algorithm uses regressori to learn patterns and establish a predictive function. The quality and selection of regressori are crucial for the performance of a machine learning model. Feature engineering, a process of creating new regressori from existing data, is often employed to improve model accuracy. The term is fundamentally about inputs used to predict outputs, whether in a statistical or a computational framework.