Chapter 6: Online Classification
In the previous two chapters, you were introduced to some basic notions of classification. You first saw a use case in which online classification models in River were used to build a model that can identify an iris species based on a number of characteristics of a plant. This iris dataset is one of the best-known datasets in the world and is a very common starting point for classification.
After that, you looked at anomaly detection. We discussed how classification models can be used for anomaly detection for those cases where we can label anomalies as one class and non-anomalies as another class. Specific anomaly detection models are often better at the task, as they strive to understand only the non-anomalies. Classification models will strive to understand each of the classes.
In this chapter, you'll go much deeper into classification. The chapter will start by posing definitions of what classification is and what it can be used for....
