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