Classification: The classification Model works on the labelled data.
For example: we have 3 coins of different denomination which are labelled according to their weight then the model would look for the labelled features for predicting the output. This model works on discrete dataset which means the data need not be continuous.
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In classification, data is categorized under different labels according to some parameters given in input and then the labels are predicted for the data.
