Data Science
- Figure 7-1 on page 192 in the textbook demonstrates why accuracy calculation on an unbalanced population is misleading. Both model A and model B achieves 80% accuracy on the balanced population, but changes to 64% and 96% accuracy respectively on the true unbalanced population. If the population is more skewed with 5% positive and 95% negative, what are the accuracies for each model? Use the same 1000 customers to show your calculation and discuss the results.
- Confusion matrix of model A and model B are listed below for the true unbalanced population, extracted from Figure 7-1. Calculate the expected profit for both model A and model B using the following cost-benefit matrix. Discuss the results.
| p | n | |
| Y | 99 | -1 |
| N | 0 | 0 |
Cost-benefit matrix for the targeted marketing example
| p | n | |
| Y | 100 | 360 |
| N | 0 | 540 |
Confusion matrix of A
| p | n | |
| Y | 60 | 0 |
| N | 40 | 900 |
Confusion matrix of B
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