Table 2.
AUROC | Sensitivity | Specificity | PPV | NPV | Accuracy | ||
---|---|---|---|---|---|---|---|
Logistic regression | MI by Median | 0.547 | 0.964 | 0.529 | 0.996 | 0.098 | 0.960 |
Decision tree | MI by Median | 0.590 | 0.967 | 0.582 | 0.994 | 0.186 | 0.962 |
No MI | 0.598 | 0.968 | 0.556 | 0.993 | 0.204 | 0.962 | |
Random Forest | MI by Median | 0.524 | 0.962 | 0.696 | 0.999 | 0.050 | 0.961 |
No MI | 0.530 | 0.962 | 0.756 | 0.999 | 0.061 | 0.962 | |
XGBoost | MI by Median | 0.616 | 0.969 | 0.646 | 0.994 | 0.237 | 0.964 |
No MI | 0.623 | 0.970 | 0.690 | 0.995 | 0.250 | 0.966 |
AUROC—area under the receiver operating characteristic curve; NPV—negative prediction value; PPV—positive prediction value; MI—missing value imputation.