Budoen, A. , Zhang, M. and Jr., L. (2025) A Comparative Study of Ensemble Learning Techniques and Classification Models to Identify Phishing Websites. Open Access Library Journal, 12, 1-22. doi: ...

Compared to standard linear regression, which predicts a single numeric value based only on a linear combination of predictor values ... technique is called linear regression, or sometimes multiple ...

1 Department of Neurology, Hubei No. 3 People’s Hospital of Jianghan University, Wuhan, China 2 Support Centre, Hubei No. 3 People’s Hospital of Jianghan University, Wuhan, China Background and aim: ...

Simple linear regression examines the relationship between one outcome variable and one explanatory variable only. However, linear regression can be readily extended to include two or more explanatory ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the random forest regression technique (and a variant called bagging regression), where the goal is to ...

This plugin makes calculating a range of statistics very easy. It is not required to chart a linear regression line, but it makes creating statistics tables simpler. To verify that it is ...

We used a discrete time Superlearner model to evaluate various algorithms ... combination from a set of base learners. 16,34 We included base learners lasso, ridge, elastic net, XGBoost (XGB), and ...

Regression-Based Combination Therapy Prediction Methods One linear model by Amzallag et al 31 aimed to reduce the noise produced in drug synergy prediction algorithms when the ... Although random ...

During a Targeted Oncology™ Case-Based Roundtable™ event, Douglas W. Sborov, MD, MS, discussed possible therapy options for a patient who relapsed after receiving bortezomib, lenalidomide, and ...