Linear regression is a statistical method that models the relationship between a dependent variable (also called the target or the outcome) and one or more independent variables (also called the ...

Abstract: This paper is a novel approach to improving the accuracy of wind power generation predictions by using linear regression (LR) algorithm differentiated with the Lasso regression (LaR). The ...

Techniques used by supervised machine learning algorithms include support vector machines, logistic and linear regression, decision trees, and multi-class classification. To enable supervised learning ...

Linear least-squares regression is fundamental in the analysis of data, such as that generated from biology, econometrics, engineering, physics, and many other technical disciplines. The present ...