Machine Learning, Svm, Support Vector Machine, Data Science, Kernel.
clusters. Is there a good reason to choose one over another? Remember that the worth of a classifier is not in how well it separates the training data. We eventually want it to classify yet-unseen data points (known as test data). Given that, we want to choose a line that captures the general