The learning rate is used as a weight factor for each decision tree. XGBR is an improved version of the GBR model in terms of computational speed, generalization, and stability. c. Support vector regression: Support vector regression (SVR) is another popular regression method that uses the function 𝑠𝑖𝑔𝑛(𝜔 # 𝑋 + 𝜔 $ ). The model is trained by optimizing the hinge loss function: