Amazon ML does two types of predictive analytics: classification and regression.
As discussed in the preceding paragraph, classification is about predicting a finite set of labels or categories for a given set of samples.
- In the case of two classes, the problem is called Binary classification
- When there are more than two classes and the classes are mutually exclusive, the problem is a multiclass classification problem
- If the samples can belong to several classes at once, we talk about a multilabel classification problem
In short, classification is the prediction of a finite set of classes, labels, categories.
- Examples of Binary classification are: buying outcome (yes/no), survival outcome (yes/no), anomaly ...
