This tool is more than just an academic model, it is a ready-to-deploy decision support system that integrates backend predictive analytics with frontend usability. By offering real-time insights, it ...

Department of Mathematics, Statistics and Actuarial Science, Faculty of Health, Natural Resources and Applied Sciences, Namibia University of Science and Technology, Windhoek, Namibia. Food insecurity ...

Regression Tree and Automatic Linear Modeling Techniques were applied this data set to determine the factors affecting grade success of university students and estimate the grade success. SPSS (ver 22 ...

A localized and adaptive recursive partial least squares algorithm (LARPLS), based on the local learning framework, is presented in this paper. The algorithm is used to address, among other issues in ...

Linear Trees combine the learning ability of Decision Tree with the predictive and explicative power of Linear Models. Like in tree-based algorithms, the data are split according to simple decision ...

Using ML algorithms like linear regression algorithms to model the relationships between environmental factors and crop water requirements, ... The proposed model has an MAE of 0.8434, an RMSE of ...

Literature by Sun and Liu, (1995) puts forward a nonlinear programming model that unifies all kind of multiple linear regression such as principal components regression, ridge regression, robust ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector regression (linear SVR) technique, where the goal is to predict a single numeric ...