Assignment: Data Science And Big Data Analysis
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)
2. List some prominent use cases of the Naïve Bayesian Classifier
3. What gives the Naïve Bayesian Classifier the advantage of being computationally inexpensive?
4. Why should we use log-likelihoods rather than pure probability values in the Naïve Bayesian Classifier?
5. What is a confusion matrix and how it is used to evaluate the effectiveness of the model?
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?
Format your assignment according to the following formatting requirements:
1. The answer should be typed, double spaced, using Times New Roman font (size 12), with one-inch margins on all sides.
2. The response also includes a cover page containing the title of the assignment, the student's name, the course title, and the date. The cover page is not included in the required page length.
3. Also include a reference page. The Citations and references should follow APA format. The reference page is not included in the required page length.