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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