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-class problem)? What if there are four classes?

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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-class
problem)? What if there are four classes?
Transcribed Image Text: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-class problem)? What if there are four classes?
Attributes
Distinguishing Attributes
Noise Attributes
A1
Class A
A2
Records
B1
Class B
B2
Figure 4.56.
Transcribed Image Text:Attributes Distinguishing Attributes Noise Attributes A1 Class A A2 Records B1 Class B B2 Figure 4.56.
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