Robust support vector model based on bounded asymmetric elastic net loss for binary classification

Robust support vector model based on bounded asymmetric elastic net loss for binary classification explores A robust SVM classifier using a novel loss function, offering improved performance in noisy environments, with available code for integration.. Commercial viability score: 7/10 in Robust Classification.