Many studies have been done in classification problems to find out how to obtain better classification accuracy. This problem tends to be more complex when there's a large number of classes on which to make a prediction. In the case of multiclass classification, it's assumed that each class in the target variable are independent of each other. A multiclass classification technique involves training one or more models to classify a target variable that can take more than two classes.
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