Classification is the processing of finding a set of models that describe and distinguish data classes or concepts for the purposes of being able to use the model to predict the class of objects whose class label is unknown. The derived model is based on the analysis of a set of training data.
The derived model may be represented in various forms, such as classification (If-Else) rules, decision trees, mathematical formulate or neural networks.
The derived model may be represented in various forms, such as classification (If-Else) rules, decision trees, mathematical formulate or neural networks.
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