Hi all,
I have no show predictive modeling built for a clinic using SAS EM. The target is binary (show or no show). I have calculated the following validation measures . I have convinced on all measures outcome but sensitivity is very low (5%).
Is there any ways that would help to increase sensitivity? What factors are associated with sensitivity?
Sensitivity 5.660377358
Specificity 99.66181941
Yeild 1.214689266
PPV 76.74418605
NPV 84.27223334
| | Actual | |
| | No Show | Show | |
Predicted | No Show | 33 | 10 | 43 |
Show | 550 | 2947 | 3497 |
| | 583 | 2957 | 3540 |
Sensitivity | 5.66037736 |
Specificity | 99.6618194 |
Yeild | 1.21468927 |
PPV | 76.744186 |
NPV | 84.2722333 |
Please advise
Thanks