Machine Learning, Svm, Support Vector Machine, Data Science, Kernel.
able to perfectly separate the labels. We also don’t want to discard the linear classifier altogether because it does seem like a good fit for the problem except for a few errant points. How do SVMs deal with this? They allow you to specify how many errors you are willing to accept. You can provide