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Table 1 Performance of classifiers by number of attributes (The value of the number in the name of the classifiers indicates the number of attributes used in that classifier)

From: DisArticle: a web server for SVM-based discrimination of articles on traditional medicine

  Precision Recall F-Measure Accuracy
ALL-40 0.927 0.886 0.906 0.982
ALL-90 0.955 0.88 0.916 0.984
ALL-140 0.952 0.91 0.93 0.986
ALL-190 0.951 0.903 0.926 0.986
ALL-240 0.949 0.904 0.926 0.985
ALL-290 0.948 0.899 0.923 0.985
ALL-340 0.945 0.902 0.923 0.985