Figures 5.38 and 5.39 are JMP outputs of a naive Bayes' classification analysis of the coupon redemption data shown in F

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Figures 5.38 and 5.39 are JMP outputs of a naive Bayes' classification analysis of the coupon redemption data shown in F

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Figures 5 38 And 5 39 Are Jmp Outputs Of A Naive Bayes Classification Analysis Of The Coupon Redemption Data Shown In F 1
Figures 5 38 And 5 39 Are Jmp Outputs Of A Naive Bayes Classification Analysis Of The Coupon Redemption Data Shown In F 1 (66.5 KiB) Viewed 10 times
Figures 5.38 and 5.39 are JMP outputs of a naive Bayes' classification analysis of the coupon redemption data shown in Figure 5.38. a. Find and report the naive Bayes'coupon redemption probability estimates for customers 41 and 42. (Round your answers to 4 decimal places.) Customer 41 Customer 42 Probability of Probability of Not Coupon Redeeming the Coupon Redemption

40 41 42 0 26.28 43.97 52.48 0 1 0 0.7285927506 0.9720225284 0.0654393672 0.4693726801 2494 0.0279774716 0.9345606328 0.5306273199

FIGURE 5.39 Misclassifications in the Coupon Redemption Exercise Training Set Count 40 Misclassification Rate 0.05000 Misclassifications 2 Confusion Matrix Training Set Actual Coupon 0 1 Predicted Count 0 20 0 1 2 18
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