Table 5.5 shows a small set of predictive model holdout partition results for a classification model, with both actual values and propensities.

a. Calculate error rates, sensitivity, and specificity using threshold values of 0.25, 0.5, and 0.75.

b. Create a lift chart using Excel, similar to Figure 5.9.

Transcribed Image Text:

TABLE 5.5 PROPENSITIES AND ACTUAL CLASS MEMBERSHIP FOR HOLDOUT DATA Propensity of 1 Actual 0.03 0.52 0.38 0 0 0 0.82 1 0.33 0 0.42 0 0.55 1 0.59 0 0.09 0.21 0.43 0 0.04 0 0.08 0 0.13 0 0.01 0 0.79 1 0.42 0 0.29 0.08 0.02 0