please answer the following QUESTIONS Question 1 (20points) Describe the differe

please answer the following QUESTIONS
Question 1 (20points)
Describe the difference between multiple linear regression and logistic regression.
Question 2 (20points)
Compare and contrast the advantages and disadvantages of supervised and unsupervised
learning approaches for a given problem.
Question 3 (20points)
-Describe the phases of the CRISP_DM Methodology. (10pts)
-Outline the steps involved in the “Data Preparation” phase of the CRISP-DM framework.
(10pts)
Question 4 (20points)
Analyze the significance of p-values in regression output and their role in variable selection.
PRACTICAL EXERCISE:
Question 5 (20points)
Suppose that we have the following results:
Attributes Predicted Value Actual Value
R1 1 0
R2 1 1
R3 0 0
R4 0 1
R5 1 0
Based on the above table answer the following questions:
a) Construct the confusion matrix table (5pts)
b) Number of true positives: (1pts)
c) Number of false positives: (1pts)
d) Number of false negatives (1pts)
e) Calculate Precision and Recall – Comment your results (5pts)
f) Calculate F1 Measure- Comment your results (7pts
Comments from Customer
Discipline: Fundamentals of Data Analytics