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Table 1 Performance after outlier detection in leukemia and colon data sets.

From: A kernel-based approach for detecting outliers of high-dimensional biological data

Data set Measurements Without outlier removal After outlier removal
    KLOD Mahalanobis One-class SVM
Leukemia Specificity (%) 96.17 99.00 97.37 100
  Sensitivity (%) 95.60 99.44 100 95.24
  Accuracy (%) 95.97 99.13 98.28 98.33
  No. of the outliers ALL 2 9 8
   AML 7 5 4
Colon Specificity (%) 82.50 85.95 83.25 85.26
  Sensitivity (%) 88.25 94.43 85.90 94.17
  Accuracy (%) 86.21 91.25 85.00 91.09
  No. of the outliers normal 1 2 3
   tumor 5 1 4
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