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Effective Amazon Machine Learning by Alexis Perrier

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Regression versus classification

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 ...

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