In SVM, what are gamma, degree, coef0, and nu?
A) Possible tuning parameters which may optimize the SVM model.
B) Labels for coefficients output by SVM as part of the solution
C) Labels for stages in solving a problem with SVM
D) All of the above

Question

Quizplus · Accepted Answer

Gamma, degree, coef0, and nu are all tuning parameters in SVM that can be optimized to achieve the best performing model. They are used to adjust the complexity of the decision boundary and to control the trade-off between fitting the training data well and generalizing to new data. Coefficients are not labels, and gamma, degree, coef0, and nu do not refer to stages in the problem-solving process.

In SVM, What Are Gamma, Degree, Coef0, and Nu