DY0-001 · Question #23
A data scientist is using the following confusion matrix to assess model performance: The model is predicting whether a delivery truck will be able to make 200 scheduled delivery stops. Every time…
The correct answer is A. 25 hours lost. Treat each "predicted-to-fail" and "predicted-to-succeed" row as coming from 100 cases apiece - Predicted-fail & actually-fail: 80 -> saves 80 hr - Predicted-succeed & actually-succeed: 85 -> saves 85 hr - Total saved = 80 + 85 = 165 hr
Question
A data scientist is using the following confusion matrix to assess model performance:
The model is predicting whether a delivery truck will be able to make 200 scheduled delivery stops. Every time the model is correct, the company saves an hour in planning and scheduling of maintenance work. Every time the model is wrong, the company loses four hours of delivery time for the truck. Which of the following is the net model impact for the company?
Options
- A25 hours lost
- B25 hours saved
- C165 hours lost
- D165 hours saved
How the community answered
(17 responses)- A65% (11)
- B6% (1)
- C6% (1)
- D24% (4)
Explanation
Treat each "predicted-to-fail" and "predicted-to-succeed" row as coming from 100 cases apiece - Predicted-fail & actually-fail: 80 -> saves 80 hr - Predicted-succeed & actually-succeed: 85 -> saves 85 hr - Total saved = 80 + 85 = 165 hr
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