Simple Linear Regression. Simple linear regression is performed with one dependent variable and one independent variable. In our data, we declare the feature ‘bmi’ to be the independent variable.

When using regression analysis for forecasting and prediction, you need to validate and test your model on a separate set of data, account for uncertainty with confidence and prediction intervals ...

Multiple-output support vector regression is a method which implements support vector regression with multi-input and multi-output. This package is based on our paper Multi-step-ahead time series ...

So far in our discussion of linear regression, we have seen that the estimated regression coefficients and predicted values can be difficult to interpret 1.When the predictors are correlated 2 ...

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 wind power ...