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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