Table 1

Percent true classification of chromatographic data by discriminatory models

Treatment Groups
Expected Classification
Dataset
Percent True Classification by Models




GA
SVM

Clean air, 0 h and 24 h recovery post-exposure
Clean air
dewarped
100.00
100.00


non-dewarped
91.67
83.33
EHC-93, 0 h and 24 h recovery post-exposure
EHC-93
dewarped
100.00
83.33


non-dewarped
66.67
83.33
0 h recovery post- exposure (Clean air and EHC-93)
0 h
dewarped
91.67
100.00


non-dewarped
75.00
91.67
24 h recovery post- exposure (Clean air and EHC-93)
24 h
dewarped
91.67
91.67


non-dewarped
75.00
91.67

Percent true classification of all chromatographic data (dewarped or non-dewarped) into exposure (clean air and EHC-93) and post-exposure recovery time (0 h, 24 h) groups by discriminatory models based on the genetic algorithm (GA) and the support vector machine algorithm (SVM).

Karthikeyan et al. Proteome Science 2008 6:6   doi:10.1186/1477-5956-6-6