Support Vector Machine, Machine Learning, Artificial Intelligence, Data Science, Ambarish 224.
epsilon-insensitive loss and slack variables. Epsilon-insensitive loss allows the model to be less sensitive to errors that are less than a certain threshold, called epsilon. Slack variables allow the model to have some degree of flexibility and can help the model to fit the data better. The