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Volume of text based documents have been increasing day by day. Medicaldocuments are located within this growing text documents. In this study, thetechniques used for text classification applied on medical documents andevaluated classification performance. Used data sets are multi class and multilabelled. Chi Square (CHI) technique was used for feature selection also SMO,NB, C4.5, RF and KNN algorithms was used for classification. The aim of thisstudy, success of various classifiers is evaluated on multi class and multilabel data sets consisting of medical documents. The first 400 features, whilethe most successful in the KNN classifier, feature number 400 and after the SMOhas become the most successful classifier.

Comparison of Classification Algorithms Used Medical Documents Categorization