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Improving classification of multiple dermatology disorders by Problem Decomposition (Cairo University)

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Improved classification accuracy from 91% to 99%

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About 50% reduction in the number of required input features

Level 1

Level 2

Standard UCI Dataset

6 classes of dermatology

disorders

34 input features

Classes split into two

categories

Classification done

sequentially at two levels

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