In a statistical learning process called support vector machine (SVM), a hyperplane is _____

In a statistical learning process called support vector machine (SVM), a hyperplane is _____ Correct Answer a linear or nonlinear mathematical function

It is used to best separate true signals from noise. The algorithm has more environmental variables included that may be required for the enzyme modification. After training the algorithm with sufficient structural features, it is able to correctly recognize many posttranslational modification patterns.

Related Questions

Suppose you have trained an SVM with linear decision boundary after training SVM, you correctly infer that your SVM model is under fitting. Which of the following is best option would you more likely to consider iterating SVM next time?
What is the primary goal of a support vector machine (SVM) algorithm in machine learning?