The team used shallow linear and non-linear classification models, such as support vector machines (SVM), logistic regression with different types of regularization (LASSO, ridge, elastic net ...

Support Vector Machines (SVMs) are a versatile and powerful machine learning algorithm that has gained significant popularity for solving classification and regression problems. They have been ...