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Serverless Machine Learning with Amazon Redshift ML
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Classification is the process of categorizing any kind of entity or class so that it is better understood and analyzed. The classifying process usually happens as part of a pre-setup business process (for example, tagging a product as defective or good after observing it), or through a return process (for example, tagging a product as defective after the customer returned it as defective). In either event, the important point is classifying an entity – in this case, a product into a class (i.e., defective or not).
Figure 6.1 shows data that has been classified into two classes using three input variables. The figure shows where a pair of Input and Output data points are categorized into two classes. When output labels consist of only two classes, it is called a binary classification problem:
Figure 6.1 – Binary classification
If the output variable consists of more than two classes –...