Support Vector Machine, Support Vector Regression, Support Vector Classifier, Support Vectors, Machine Learning.
Margin SVM → Soft Margin SVM In equation 5, the first portion of the equation before the ‘+’ sign is referred to as the ‘regularization’ and the second portion is referred to as the ‘Hinge Loss’. ‘C’ is the hyper-parameter which is always a positive value. If ‘C’ increases, then overfitting