Hello, there
I have the SAS/EM logistic regression node output as below.
My questions is, Is the "% Response" predicted or actual? What is the definition of "Mean Posterior Probability"? Thanks,
Jimmy
Data Role=TRAIN Target Variable=resp_ind
Mean
Cum % Cum Num of Posterior
Percentile Gain Lift Lift Resp %Resp Obs Probability
5 487.332 5.87332 5.87332 5.78840 5.78840 15652 0.060346
10 345.051 3.02761 4.45051 2.98383 4.38616 15651 0.029073
15 269.961 2.19777 3.69961 2.16600 3.64612 15651 0.020108
20 216.365 1.55585 3.16365 1.53335 3.11791 15652 0.015229
25 176.433 1.16696 2.76433 1.15009 2.72436 15651 0.012035
30 149.594 1.15399 2.49594 1.13731 2.45985 15651 0.009786
35 126.810 0.90109 2.26810 0.88807 2.23530 15652 0.008119
40 108.589 0.81039 2.08589 0.79867 2.05573 15651 0.006834
45 91.824 0.57700 1.91824 0.56865 1.89050 15651 0.005847
50 77.634 0.49920 1.77634 0.49198 1.75065 15651 0.005064
55 64.903 0.37600 1.64903 0.37056 1.62519 15652 0.004404
60 54.133 0.35657 1.54133 0.35142 1.51904 15651 0.003851
65 44.570 0.29822 1.44570 0.29391 1.42480 15651 0.003373
70 36.698 0.34358 1.36698 0.33861 1.34721 15652 0.002943
75 29.054 0.22043 1.29054 0.21724 1.27188 15651 0.002560
80 22.204 0.19449 1.22204 0.19168 1.20437 15651 0.002205
85 15.778 0.12965 1.15778 0.12778 1.14104 15652 0.001874
90 10.066 0.12966 1.10066 0.12779 1.08475 15651 0.001562
95 4.683 0.07780 1.04683 0.07667 1.03169 15651 0.001224
100 0.000 0.11021 1.00000 0.10862 0.98554 15651 0.000669
"% Response" is actual: the percentage of events in each percentile.
"Mean Posterior Probability" is predicted. For constructing the gains table the data ist sorted by the predicted (posterior) probability and grouped into 20 evenly sized percentiles. "Mean posterior Probability" is the mean of the predicted probability (the sorting variable) in each group.
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