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Table 6 Summary of the results from applying the KIGP to the breast cancer dataset

From: Kernel-imbedded Gaussian processes for disease classification using microarray gene expression data

Performance Measure

CV (3-fold)

CV (3-fold, fixed genes)

LOOCV (fixed genes)

 

PK

GK

LK

PK

GK

LK

PK

GK

LK

ERR #

4/22

3/22

5/22

0/22

0/22

0/22

0/22

0/22

0/22

APP

0.685

0.739

0.662

0.855

0.878

0.929

0.903

0.889

0.995

  1. All the captions are same as in Table 2, except that there is no independent testing.
  2. The columns labeled by "CV (3-fold, fixed genes)" are for the loose 3-fold CVs (each CV only involves the "prediction phase" of an KIGP).