9.(a) Explain how naïve Bayes performs on the data set shown in Figure 4.56.(b) If each class is further divided such that there are four classes (A1, A2,B1, and B2), will naïve Bayes perform better?(c) How will a decision tree perform on this data set (for the two-classproblem)? What if there are four classes? AttributesDistinguishing AttributesNoise AttributesA1Class AA2RecordsB1Class BB2Figure 4.56.

Naïve Bayes Classifier: A Naïve Bayes classifier estimates the class-conditional probability by…

Answered: 9. (a) Explain how naïve Bayes performs…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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I NEED THE ANSWER TO THE "NUMBER OF DUMMY VARIABLES" A manager of a local package delivery store believes that too many of the packages were damaged or lost. She extracts a sample of 75 packages with the following variables: the package number (Package), the status of the package (Status: Delivered, Damaged, or Lost), the delivery type (Delivery: Standard, Express, or Same day), and the size of the package (Size: S, M, L, and XL). A portion of the data is shown in the accompanying table. Package Status Delivery Size 1 Damaged Standard M 2 Lost Express L ⋮ ⋮ ⋮ ⋮ 75 Damaged Same day M a)Transform the Delivery variable into dummy variables. Use the most frequent category as the reference category. How many dummy variables should be created? Which category of Delivery is the reference category? Number of dummy variables: ???? Reference Category: Standard Package Status Delivery Size 1 Damaged Standard M 2 Lost Express L 3 Lost Standard S 4 Delivered…
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3899 you're a data analyst for an insurance company. You want to make sure that your employer is not over-paying for car repairs. To investigate this, you bring 38 different cars to two different garages, Bubba's Hubcap Heaven and Repair, and Merle's Motor Shop. Some of the cars need lots of repairs. Some of the cars need very few. By taking each car to both shops, we can directly compare the two sets of prices. Before running your analysis, be sure to look at the data file and verify that each car requires a different amount of repairs, and that prices in one shop are correlated with prices at the other shop. That is, they're in the same ballpark. The question is whether one tends to charge more, on average, than the other. Your task is to use Excel to test the research hypothesis that prices are different in the two shops; the null hypothesis is that prices are equal between the two shops. You test at the alpha = 0.01 significance level. What do you conclude? Are prices the same?…
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