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Table 10 Classification results for SVM with varying intensity of the simulated noise

From: Ischemia episode detection in ECG using kernel density estimation, support vector machine and feature selection

a

b=2

b=4

b=6

0.1

79.0

0.936

0.920

350

254.6

0.940

0.915

352

147.4

0.936

0.916

349

0.2

143.0

0.929

0.914

347

168.5

0.929

0.904

349

33.9

0.922

0.888

339

0.3

84.1

0.923

0.910

348

50.9

0.915

0.891

341

72.3

0.902

0.875

337

0.4

124.5

0.919

0.899

348

51.3

0.903

0.869

341

52.0

0.888

0.848

330

0.5

65.1

0.909

0.895

347

86.7

0.882

0.859

333

79.4

0.872

0.828

328

0.6

96.7

0.903

0.887

343

67.3

0.879

0.844

330

71.6

0.865

0.809

323

0.7

119.3

0.888

0.880

339

27.2

0.868

0.832

329

36.6

0.856

0.796

313

0.8

201.8

0.893

0.863

334

24.9

0.851

0.829

320

27.1

0.848

0.785

310

0.9

278.2

0.888

0.857

335

16.7

0.841

0.816

308

71.0

0.850

0.777

315

1.0

211.7

0.879

0.859

324

58.2

0.835

0.806

311

20.3

0.837

0.776

317