Read Chapters 9 & 12 Answer - chapter 9's Exercise questions 1,2,3,4,and 5and chapter 12's 5,7,8,and 10 Questions are attached and also can be found at the end of the chapters

Chapter – 9
Question1:
Ans: C, There mentioned that 30 as classified fraudulent and 920 as non-fraudulent so it need to be the placed in the position of (1, 1) and (0, 0) and the other placed filled with 58 and 32 so the correct option is C.
Question2:
Ans:
The classification error rate = 22/978
             = 0.0225
The classification error rate is 2.25%
28 times the data has been misclassified.
The misclassification rate in Naive Bayes model is 9.47%. The misclassification rate is high in Naive Bayes model comparing to this data mining model.
Question3:
Ans: The Bayes theorem is used to find the prior probability of the occurrence of an event. This will be used in the Naive Bayes model which will predict the probability of class with the independent features. This is also called as probability classifier. This assumption is called as conditional independence.
Question4:
Ans: In the initial step before data mining technique we use to segregate the data into training and validation sets because of to get the performance of the data mining algorithm. We used to do the model on training data set and make the predictions on validation data set then by comparing the dependent feature of these two...