- 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
Your Thoughts?Training Data Set
X1
X2
X3
Y
1
1
1
0
1
1
0
0
0
0
0
0
0
1
0
1
1
0
1
1
0
1
1
1
- List some prominent use cases of the Naïve Bayesian Classifier.
- What gives the Naïve Bayesian Classifier the advantage of being computationally inexpensive?
- Why should we use log-likelihoods rather than pure probability values in the Naïve Bayesian Classifier?
- What is a confusion matrix and how it is used to evaluate the
effectiveness of the model?
- Consider the following data set with two input features temperature and season
Your Thoughts?
What is the Naïve Bayesian assumption?
Is the Naïve Bayesian assumption satisfied for this problem?
Temperature
Season
Electricty Usage
-10 to 50 F
Winter
High
50 to 70 F
Winter
Low
70 to 85 F
Summer
Low
85 to 110 F
Summer
High
54.
should include a brief analysis of the company’s competitive position within the industry. Excellent sources for industry information, such as IBISWorld and Mergent Online, are available through the NGL website.
Briefly analyze the common-sized balance sheet and common-sized income statement generated from NetAdvantage (one paragraph each). You should highlight the major components of each statement and note any significant changes in the composition of the balance sheet and income statement over the past few years.
Briefly analyze the company’s statement of cash flows over the past few years (one paragraph). . what other factors may have influenced the changes in cash flow generated from operating activities from year to year?
Sample Solution