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1. Explain James Q. Wilsons three types of policing. 2. What.docx

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1. Consider the following Training Data Set:

Apply the Naïve Bayesian Classifier to this data set and compute the probability score for P (y = 1|X) for X = (1,0,0) Show your work

6. Consider the following data set with two input features temperature and season • What is the Naïve Bayesian assumption? • Is the Naïve Bayesian assumption satisfied for this problem? Your Thoughts? Module 4: Analytics Theory/Methods 18

.

Apply the Naïve Bayesian Classifier to this data set and compute the probability score for P (y = 1|X) for X = (1,0,0) Show your work

6. Consider the following data set with two input features temperature and season • What is the Naïve Bayesian assumption? • Is the Naïve Bayesian assumption satisfied for this problem? Your Thoughts? Module 4: Analytics Theory/Methods 18

.

- 1. 1. Consider the following Training Data Set: Apply the Naïve Bayesian Classifier to this data set and compute the probability score for P (y = 1|X) for X = (1,0,0) Show your work 6. Consider the following data set with two input features temperature and season • What is the Naïve Bayesian assumption? • Is the Naïve Bayesian assumption satisfied for this problem? Your Thoughts? Module 4: Analytics Theory/Methods 18

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