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Feature Reduction and Decision Tree Based Classificatio

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    • The aim of this project was to analyse Dermatology Dataset (taken from UCI website) and reduce the number of features to correctly classify Erythemato-squamous diseases to provide an aid to medical diagnosis of dermatological diseases. The classification results and the decision made by Doctor verified the diagnosis authenticity. This project used 10 out of 34 features (after feature reduction) to classify 6 diseases and provided an accuracy of 94.39% after classification. 
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SADAF SAHAR
SADAF SAHAR
Ahmedpur East, Punjab, Pakistan