Skip to main content

Table 3 Sensitivity, specificity, confidence intervals and classification error for the performance of PLS-DA and SVM

From: Texture analysis of pulmonary parenchymateous changes related to pulmonary thromboembolism in dogs – a novel approach using quantitative methods

  Sensitivity CI lower bound CI upper bound Specificity CI lower bound CI upper bound Classification error
PLSDA
 Healthy (CA) 0,9734 0,9597 0,9825 0,979 0,9687 0,986 0,02335
 Healthy (CV) 0,9443 0,9261 0,9583 0,9616 0,9485 0,9715 0,04565
 Diseased with PTE (CA) 0,5912 0,5344 0,6457 0,8558 0,8377 0,8722 0,18,577
 Diseased with PTE (CV) 0,3041 0,2544 0,3587 0,8029 0,7826 0,8217 0,27,548
 Diseased without PTE (CA) 0,7043 0,6717 0,7349 0,884 0,83,636 0,9017 0,19,214
 Diseased without PTE (CV) 0,589 0,5545 0,6226 0,7947 0,7696 0,8176 0,29,246
SVM
 Healthy (CA) 1 0,9925 1 1 0,9925 1 0
 Healthy (CV) 0,9835 0,9721 0,09904 0,9963 0,9906 0,9986 0,00902
 Diseased with PTE (CA) 0,9189 0,8822 0,9449 0,9836 0,9761 0,9888 0,02654
 Diseased with PTE (CV) 0,3885 0,3348 0,4451 0,8967 0,8808 0,9107 0,18,312
 Diseased without PTE (CA) 0,9674 0,9527 0,9777 0,9779 0,9673 0,9851 0,02654
 Diseased without PTE (CV) 0,7895 0,7598 0,8163 0,8214 0,7975 0,843 0,19,214
  1. CA Classification, CV Cross-validation