Table 2 Testing accuracies associated with the highest training accuracies under different feature selections for the NARAC CHR18SNP data set.
From: Supervised learning-based tagSNP selection for genome-wide disease classifications
Feature Selection | Testing accuracy (mean value ± standard deviation, %) | |
|---|---|---|
NMSC | NBC | Â |
MSW-MSC | 71.3 ± 0.7 | 68.5 ± 0.7 |
MMW-MSC | 71.4 ± 0.4 | 69.3 ± 0.3 |
NBC-MSC | 74.3 ± 0.6 | 68.3 ± 0.7 |
NMSC-MSC | 77.7 ± 0.7 | 67.7 ± 0.3 |
SVMRFE | 67.8 ± 0.8 | 68.3 ± 0.8 |
T-TEST | 65.4 ± 0.5 | 66.1 ± 0.8 |
LOGICFS | 67.1 ± 2.1 | |