Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Comparison of Classification Algorithms Used Medical Documents
  Categorization   Volume of text based documents have been increasing day by day. Medical
documents are located within this growing text documents. In this study, the
techniques used for text classification applied on medical documents and
evaluated classification performance. Used data sets are multi class and multi
labelled. 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 this
study, success of various classifiers is evaluated on multi class and multi
label data sets consisting of medical documents. The first 400 features, while
the most successful in the KNN classifier, feature number 400 and after the SMO
has become the most successful classifier.

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The categories of this paper are: acc-phys
13
The categories of this paper are: quant-ph
33
The categories of this paper are: plasm-ph
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The categories of this paper are: patt-sol
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The categories of this paper are: bayes-an
31
The categories of this paper are: ao-sci
36
The categories of this paper are: cmp-lg
15
The categories of this paper are: nucl-ex
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The categories of this paper are: chao-dyn
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The categories of this paper are: hep-ph
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The categories of this paper are: atom-ph
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The categories of this paper are: adap-org
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The categories of this paper are: nlin
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The categories of this paper are: astro-ph
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The categories of this paper are: stat
4
The categories of this paper are: cond-mat