Table 4.
Criteria for Accuracy | Model A SVM Model: Sigmoid | Model B Logistic Regression Model: Backward (Wald) |
---|---|---|
Combined Accuracy | 69% | 70% |
Sensitivity | 69% | 63% |
Specificity | 61% | 69% |
SVM = Support Vector Machine
Criteria for Accuracy | Model A SVM Model: Sigmoid | Model B Logistic Regression Model: Backward (Wald) |
---|---|---|
Combined Accuracy | 69% | 70% |
Sensitivity | 69% | 63% |
Specificity | 61% | 69% |
SVM = Support Vector Machine