Classification - supervised learning

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Classification in supervised learning uses the model to output which of many classifications the input falls into based on the inputs. Each column of the data set is a feature and each row is a data point. The ‘classifier’ as our algorithm is known, uses some set of the learning data to determine the discrete ‘class’ to which the input belongs.