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Table 1 F1 score of each category when α takes different values

From: A feature selection method based on synonym merging in text classification system

 

Car

Finance

IT

Health

Sports

Tourism

Edu

Culture

Mil

α=0.50

0.729

0.701

0.579

0.833

0.769

0.805

0.704

0.693

0.900

α=0.60

0.747

0.787

0.709

0.872

0.815

0.810

0.712

0.713

0.895

α=0.70

0.734

0.814

0.803

0.874

0.919

0.817

0.694

0.764

0.896

α=0.75

0.757

0.813

0.825

0.861

0.946

0.808

0.726

0.779

0.900

α=0.80

0.763

0.821

0.828

0.931

0.949

0.827

0.726

0.819

0.903

α=0.85

0.763

0.812

0.818

0.931

0.937

0.821

0.721

0.804

0.889

α=0.90

0.782

0.783

0.808

0.943

0.945

0.781

0.720

0.802

0.913

α=1.0

0.782

0.781

0.788

0.932

0.936

0.789

0.714

0.794

0.897

None

0.782

0.776

0.783

0.935

0.936

0.778

0.711

0.788

0.901