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2.1.1.1 Supervised Model

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Training is done using the human input on the data that is pre-existing in case of algorithms, representing the supervised model. Such models can represent a function by utilizing the methods such as classification for predicting the output value. This is due to the training data that is labeled and also the input as well as output pairs. The main advantages of these models include extraction of information and recognition of objects, patterns, and speech [17].

Handbook on Intelligent Healthcare Analytics

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