Skip to main content
. 2010 Apr 20;28(15):2529–2537. doi: 10.1200/JCO.2009.23.4732

Table 2.

Whole-Genome Classification Confusion Matrix

GS/Call Class Prediction
Average No. of IDC As a Result of Ties of Majority Votes Total No. of Specimens in Every Class CR Sensitivity for Called Specimens Specificity for Called Specimens
C1 C2 C3 C4 C5 C6 C7 C8 C9 C10 C11 C12 C13 C14 C15 C16 C17 C18
C1/GS 9.3* 0.7 0.3 0.3 1 1.3 13 0.897 0.800 0.999
C2/GS 70* 0 70 1.000 1.000 0.998
C3/GS 114.3* 0.3 7.3 0 122 1.000 0.937 0.997
C4/GS 166.3* 1.7 4 0.3 0.7 1 174 0.994 0.961 0.997
C5/GS 53.7* 4.3 0 58 1.000 0.925 0.997
C6/GS 2 33* 1 0 36 1.000 0.917 1.000
C7/GS 30.3* 9.7 0 40 1.000 0.758 0.995
C8/GS 1 3 5.3 1 6 10.7 205.3* 0.3 1 1 1.7 0.7 237 0.997 0.869 0.985
C9/GS 40* 0 40 1.000 1.000 1.000
C10/GS 35* 1 1 0 37 1.000 0.946 1.000
C11/GS 28* 0 28 1.000 1.000 1.000
C12/GS 1 32* 5 0 38 1.000 0.842 0.999
C13/GS 1 4.3 3 1 2 311.3* 9.7 1.3 0.7 15.3 1.3 351 0.996 0.890 0.982
C14/GS 9.3 35.7* 2.7 0.3 48 0.993 0.748 0.995
C15/GS 0.7 446* 0.3 1 448 0.998 0.998 0.998
C16/GS 1 72* 0.3 2.7 0 76 1.000 0.947 0.999
C17/GS 11 184.3* 7.7 3 206 0.985 0.908 0.981
C18/GS 1 1 1 14 57* 0 74 1.000 0.770 0.994

NOTE. Classification prediction results for 2,096 samples from stage I as analyzed by three 30-fold cross validations. Gold standard classes are given in rows C1/GS to C18/GS; the columns C1 to C18 list the average numbers of calls, rounded with up to 1 decimal place, for every class in three independent runs of cross-validations. This model uses trimmed mean of differences between perfect match and mismatch intensities with quantile normalization (DQN) signal intensities obtained from HG-U133 Plus 2.0 microarrays.

Abbreviations: IDC, indeterminable calls; CR, call rate [(No. of specimens–IDC)/No. of specimens]; GS, gold standard.

*

Values indicate correct prediction results.

Values represent misclassifications for each class.