Classification is a key concept in both machine learning and statistics. We've shown that the model builder offers both binary and multiclass classification techniques (as well as regression). Earlier in this chapter, we used the model builder and arbitrarily selected a classification technique just to show how easy it is to build, train, and deploy a model using the tool. In this section, we will take a closer look at each technique and which choice would make the most sense, given our training data.
Classification
Binary classification
Binary (also referred to as binomial) classification is the process of classifying the elements of a given set into two groups on the basis of a classification rule. The product documentation...
