Hi everyone,
This is more stats-related question than a technical SAS-coding question, but maybe there is an option in the proc logistic procedure to generate the output I'm looking for.
I used a logistic regression model, proc logistic procedure, to model the probability of a binary event occuring (=1):
| Event_ID |
Probability/ Expected |
Actual/ Event_Occured |
| 123 |
0.98 |
1 |
| 223 |
0.67 |
1 |
| 224 |
0.012 |
1 |
| 225 |
0.0506 |
1 |
| 321 |
0.0006 |
0 |
| 322 |
0.103 |
0 |
| 323 |
0.0089 |
0 |
| 342 |
0.46 |
1 |
| 564 |
0.69 |
1 |
| 597 |
0.89 |
1 |
| 598 |
0.76 |
1 |
| 601 |
0.0045 |
0 |
| 689 |
0.15 |
0 |
| 756 |
0.68 |
1 |
| 897 |
0.72 |
1 |
| 899 |
0.089 |
0 |
| 1001 |
0.23 |
0 |
| 1501 |
0.88 |
1 |
| 8997 |
0.45 |
1 |
Is there an efficient way to graph the expected (predicted probabilities) vs actual (event results) to give an indication on how well the model is performing ?
Thank you !