The classifications presented here tend to be under-classifications to outline the best case, not the worst case.
The results show that the proposed classification produced the highest overall accuracies and kappa coefficients, and the smallest over-classification and under-classification geometric errors.
On this background producers might obtain different results using the precise composition of their own products and the data of their specific ingredients without a deliberate under-classification as I had to do here.
This may have resulted in under-classification of WRHR groups.
Overall, the under-classification errors for the Cat 2 chemicals were always higher than the over-classification errors, with the latter being almost neglectable.
These showed an under-classification rate of 7.6%%, which is in between the 5.0 % obtained for COMaj and the 9.7 % obtained for CRMaj/CCMaj.
Mis-classification, i.e., both, under-classification and over-classification, may be harmful to patients, when therapy is withhold or patients are set at risk to experience undesirable effects.
A similar analysis performed on data of 723 rabbits tested in 181 studies found under-classification probabilities ranging from 4.30 to 13.24 %, with the estimated under-classification rate also being higher for chemicals classified based on persistence only (Haseman et al. 2005).
Applying the 2003 SCCM/ESICM/ACCP/ATS/SIS sepsis definitions instead of the 1992 ACCP/SCCM sepsis definitions in surgical patients resulted in different patient case mix with under-classification with the 1992 definitions.
Use of the 1992 definitions may lead to under-classification of patients with severe sepsis at high risk of death with the consequence of delayed or lack of timely and appropriate critical care management.
These are shown here instead of under classification table (Table 4).
