Data Science, Machine Learning, Algorithms, Support Vector Machine, Supervised Learning.
boundary belong to class -1, and if they fall above it they belong to class 1. Using margins to increase prediction confidence We used training data to define the decision boundary. But what about the quality of predictions for the testing set? If a vector is far from the decision boundary we can