Support vector regression
respiratory tumor
SVR is a powerful algorithm that has been used for radiotherapy outcome predictions such as the prediction of respiratory tumor motion,In this study, GridSearchCV from the Scikit‐learn package was used to tune hyperparameters, including kernels (linear, RBF, poly), epsilon, C, and gamma. In the case of this dataset, the best parameters were determined to be SVR with linear kernel, 