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. 2008 Jan 30;6:6. doi: 10.1186/1477-5956-6-6

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).