Consider Figure 5.12, the decile-wise lift chart for the transaction data model, applied to new data. 6 4 5 Mean Response SURE 5.12 3 2 1 0 1 2 3 4 5 6 7 8 9 10 Percentile DECILE-WISE LIFT CHART FOR TRANSACTION DATA a. Interpret the meaning of the first and second bars from the left. b. Explain how you might use this information in practice. c. Another analyst comments that you could improve the accuracy of the model by classifying everything as nonfraudulent. If you do that, what is the error rate? d. Comment on the usefulness, in this situation, of these two metrics of model per- formance (error rate and lift)

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Consider Figure 5.12, the decile-wise lift chart for the transaction data model, applied
to new data.
Response
0 1 2 3 4 5 6
Mean
GURE 5.12
1 2 3 4 5 6 7 8 9 10
Percentile
DECILE-WISE LIFT CHART FOR TRANSACTION DATA
a. Interpret the meaning of the first and second bars from the left.
b. Explain how you might use this information in practice.
c. Another analyst comments that you could improve the accuracy of the model by
classifying everything as nonfraudulent. If you do that, what is the error rate?
d. Comment on the usefulness, in this situation, of these two metrics of model per-
formance (error rate and lift).
Transcribed Image Text:Consider Figure 5.12, the decile-wise lift chart for the transaction data model, applied to new data. Response 0 1 2 3 4 5 6 Mean GURE 5.12 1 2 3 4 5 6 7 8 9 10 Percentile DECILE-WISE LIFT CHART FOR TRANSACTION DATA a. Interpret the meaning of the first and second bars from the left. b. Explain how you might use this information in practice. c. Another analyst comments that you could improve the accuracy of the model by classifying everything as nonfraudulent. If you do that, what is the error rate? d. Comment on the usefulness, in this situation, of these two metrics of model per- formance (error rate and lift).
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