New method beats traditional regression in handling outliers and noise!
A new method for support vector regression was developed to handle outliers and noise better by using a special loss function. This method adjusts parameters to reduce the impact of outliers and noise on the results. By using a specific programming procedure, the method was able to outperform other regression techniques in terms of robustness and accuracy on various datasets.
