Evaluation of Performance Measures for SVR Hyperparameter Selection

摘要

To obtain accurate modeling results, it is of primal importance to find optimal values for the hyperparameters in the Support Vector Regression (SVR) model. In general, we search for those parameters that minimize an estimate of the generalization error.