Coursera | Mastering Data Analysis in Excel

Binary Classification (graded) >> Week 2

Binary Classification (graded) >> Week 2 >> Mastering Data Analysis in Excel

1. Question 1 A test for “driving while intoxicated” was given 100 times. 20 people tested were actually intoxicated, and 10 people were mis-classified as intoxicated. What would the False Positive rate be? 1 point 10% 12.5% 50% 30% 2. Question 2 If a fire alarm malfunctions and fails to go off when there actually is a fire, that is a: 1 point True Positive False Positive False Negative True Negative 3. Question 3 Use the Binary Classification Metrics Spreadsheet Definitions to answer the following: If the “classification incidence/test incidence” is 10% for the whole population, and the true “condition incidence” is 12% for the whole population, the True Positive rate: 1 point must be 0% cannot be 100% must be 100% can be 100% 4. Question 4 Use the Cancer Diagnosis Spreadsheet to answer Questions 4 to 6. Cancer Diagnosis.xlsx Keep the cost per False Positive test set at $500. Use MS Solver to determine the maximum cost per False Negative test that permits an average cost per test of $100. 1 point $12,262 $17,082 5. Question 5 Assume a cost of $15,000 per False Negative (FN) and $100 per False Positive (FP). What is the minimum average cost per test? 1 point $16,551 $25.98 $259,800 $1.00 6. Question 6 If, instead of assuming a cost $15,000 per FN and $100 per FP, the costs are assumed to be $7,500 per FN and $50 per FP, what changes? 1 point The False Positive Rate The minimum cost threshold of 16,551.930 The minimum Cost per Test The True Positive Rate 7. Question 7 Use logic and the definition in the Binary Performance Metrics Spreadsheet to answer the following question. Binary Performance Metrics.xlsx In general, increasing the cost per FN while keeping the cost per FP constant will cause the cost-minimizing threshold score to: 1 point Increase Decrease Stay the Same 8. Question 8 Make a copy of the Bombers and Seagulls Spreadsheet to answer questions 8-10. Bombers and Seagulls.xlsx Modify the spreadsheet data so that there are 4 bombers instead of 3, and 16 seagulls instead of 17, by changing the actual condition for the radar score of 66 from a 0 to a 1 in cell D43. What is the new Area Under the Curve: 1 point 0.824 0.72 0.78 0.75 9. Question 9 Assuming the costs for classification errors are 5 million pounds per FN and 4 million pounds per FP, how much does changing the value at Cell D43 from 0 to 1 change the minimum cost per event? 1 point Increases by 250,000 pounds Increases by 5 million pounds. Unknown Increases by 950,000 pounds 10. Question 10 Change the cost per FN to 50 million pounds. How does changing the data in cell D43 from a 0 to a 1 change the cost-minimizing threshold? 1 point Increases it from 66 to 75. Decreases it from 75 to 70 Decreases it from 75 to 62 Decreases it from 75 to 66. 11. Question 11 Use the Binary Performance Metrics Spreadsheet definitions to answer the following question. Binary Performance Metrics.xlsx A population tested for “driving while intoxicated” has a Condition incidence of 20%. If the test has a true positive rate of 70% and a false positive rate of 10%, what is the test’s Positive Predictive Value (PPV)? 1 point 0.36 0.64 0.50 0.60 12. Question 12 Use the Soldier Performance Spreadsheet to answer question 12. Forecasting Soldier Performance.xlsx Rank the outcomes using soldier’s age as the score, with the oldest at the top. A threshold of 24 years represents what point on the ROC Curve? 1 point .5, .5 .25, .75 .67, .33 .33, .67

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