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 !