Table 3

Nested cross-validation results using chromosome 21 genes

Pass

Number of samples

Best inner C-V score (% correct)

Number of tied models

Outer C-V score (% correct)


Subject 1

3

100.00% (22/22)

116

100.00%

Subject 2

2

100.00% (23/23)

160

100.00%

Subject 3

4

100.00% (21/21)

119

100.00%

Subject 4

4

100.00% (21/21)

142

99.82%

Subject 5

4

100.00% (21/21)

107

100.00%

Subject 6

1

100.00% (24/24)

131

100.00%

Subject 7

4

100.00% (21/21)

247

99.60%

Subject 8

1

100.00% (24/24)

186

100.00%

Subject 9

1

100.00% (24/24)

107

100.00%

Subject 10

1

100.00% (24/24)

212

100.00%

Accuracy estimate

99.91%


The model space parameters are as follows: Gene selection: ANOVA; Number of genes: 1, 3, 5, ..., 251, 253; Classifier 1: K-Nearest Neighbor (KNN); Number of neighbors (K): 1, 3, 5; Similarity measures: Euclidean distance, Pearson's correlation, Absolute value (also known as 'City block'); Classifier 2: Nearest Centroid, Prior probability: Equal; Classifier 3: Discriminant Analysis, Discriminant functions: Linear, Quadratic, Prior probability: Equal.

Mao et al. Genome Biology 2005 6:R107   doi:10.1186/gb-2005-6-13-r107

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