Table 2

Weighted voting classification accuracy : Sensitivity, specificity and accuracy of a weighted voting classifier in distinguishing samples in a given subtype from all other samples. The accuracy scores were computed using leave-one-out experiments. The genes used for classification were selected based on their collective power to accurately discriminate between a group and its complement.

Group
Sensitivity
Specificity
Accuracy

LG
89.29
90.77
90.32
LG1
81.82
91.46
90.32
LG2
100.00
90.79
92.47
HG
96.88
95.08
95.70
HG1
100.00
96.59
96.77
HG2
100.00
96.39
96.77
HG3
84.62
92.50
91.40
HG4
100.00
94.38
94.62

Dalgin et al. BMC Bioinformatics 2007 8:291   doi:10.1186/1471-2105-8-291