Difference between classification and regression in data mining
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Predictive modelling is the technique of developing a model or function using the historic data to predict the new data. The significant difference between Classification and Regression is that classification maps the input data object to some discrete labels.
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Basically, both classification and regression in data mining is based on prediction.
The former predicts the response of a particular group of people to a particular object.
The answer is found in yes or no. however, the latter predicts an algorithm on the continuity of certain values.
An example of classification can be, a product that has been launched whether it’ll draw attention of customers or not.
An example of regression can be linear relationship algorithm.
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