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Table 2 Leave-one-out comparisons of the local minimax learning with 3-nearest neighbor predictor and the kernel predictors (sigma = 0.5 and 0.7, p = 0.35).

From: Confident Predictability: Identifying reliable gene expression patterns for individualized tumor classification using a local minimax kernel algorithm

 

3-nearest neighbor predictor

Kernel predictor with sigma = 0.5, e = 0

Kernel predictor with sigma = 0.7, e = 0

Data Set

CP (%)

Error in CP. (%)

Total Error (%)

CP (%)

Error in CP (%)

Total Error (%)

CP (%)

Error in CP (%)

Total Error (%)

Leukemia

71

3

3

36

 

3

43

 

3

 

(98.6%)

(4.23%)

(4.17%)

(50.0%)

0 (0%)

(4.17%)

(59.7%)

0 (0%)

(4.17%)

Prostate

54

11

21

32

4

21

34

4

22

 

(61.4%)

(20.4%)

(23.9%)

(36.4%)

(12.5%)

(23.9%)

(38.6%)

(11.8%)

(25%)

GCM

204

15

38

154

6

39

160

6

42

 

(72.9%)

(7.35%)

(13.6%)

(55.0%)

(3.9%)

(13.9%)

(57.1%)

(3.75%)

(15%)