SEVERITY OF ERROR IN HIERARCHICAL DATASETS

Severity of error in hierarchical datasets

Abstract Classification tasks today, especially for the medical domain, use datasets which are often hierarchical.These tasks are approached using methods that consider the class taxonomy for predicting a label.The classifiers are gradually becoming increasingly accurate over the complex datasets.While increasing accuracy is a good way to judge a m

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