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Table 2 Performance of the classifiers by feature (ALL: all attributes, TAK: title, abstract, keyword, H: herbs, A: affiliation, J: journal, M: MeSH)

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

  Precision Recall F-Measure Accuracy
TAK 0.858 0.593 0.702 0.950
TAK + M 0.887 0.682 0.771 0.959
TAK + AJM 0.879 0.71 0.785 0.961
TAK + H 0.957 0.862 0.907 0.982
TAK + HA 0.953 0.889 0.92 0.985
TAK + HJ 0.954 0.893 0.923 0.985
TAK + HM 0.954 0.902 0.927 0.986
TAK + HAJ 0.95 0.897 0.923 0.985
TAK + HAM 0.95 0.908 0.928 0.986
TAK + HJM 0.952 0.903 0.927 0.986
ALL-140 0.952 0.91 0.93 0.986