Title | Graded Quiz Unit 6 CS 4407This is all you need to get the maximum point. Browse through to get the needed insights for your submission. |
---|---|
Course | Data Mining and Machine Learning (proctored course) |
Institution | University of the People |
Pages | 8 |
File Size | 428.7 KB |
File Type | |
Total Downloads | 347 |
Total Views | 982 |
Download Graded Quiz Unit 6 CS 4407This is all you need to get the maximum point. Browse through to get the needed insights for your submission. PDF
12/22/21, 11:16 PM
Graded Quiz Unit 6: Attempt review
Dashboard / My courses / CS 4407 - AY2022-T2 / 16 December - 22 December / Graded Quiz Unit 6
Started on
Sunday, 19 December 2021, 11:05 PM
State Finished Monday, 20 December 2021, 12:11 AM
Completed on Time taken Marks
1 hour 5 mins 14.00/14.00
Grade 100.00 out of 100.00 Question
1
Correct Mark 1.00 out of 1.00
The first artificial neural network model was developed by:
Select one: a.
McCulloch and Pitts
b. Rumelhart and McClelland c.
Bar and Yam
d. Kauffman
Your answer is correct. The correct answer is: McCulloch and Pitts
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1/8
12/22/21, 11:16 PM Question
Graded Quiz Unit 6: Attempt review
2
Correct Mark 1.00 out of 1.00
True/False: A regression model has a R2 statistic of .95. This indicates that the regression model is NOT a good fit and does a poor job of predicting the outcome based upon the input variables.
Select one: True False
The correct answer is 'False'.
Question
3
Correct Mark 1.00 out of 1.00
Assuming K=3 how would the point X be classified using KNN? Training Distance Class point d1
4
Red
d2
3
Blue
d3
5
Blue
d4
7
Red
Select one: a.
Red
b. Blue
Your answer is correct. The correct answer is: Blue
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2/8
12/22/21, 11:16 PM Question
Graded Quiz Unit 6: Attempt review
4
Correct Mark 1.00 out of 1.00
Assume that you are the data scientist for ACME sporting goods and you have been asked to develop a predictive model that will help the company determine which products to produce and in what quantities for the upcoming sports season. You have historical data from many years with data that includes all of the factors that impacted sales of different types of products. Which of the following techniques are you most likely to use?
Select one: a.
Linear Regression
b. K-nearest neighbor’s classification c.
Bayes Classifier
d. Hierarchical clustering
Your answer is correct. The correct answer is: Linear Regression
Question
5
Correct Mark 1.00 out of 1.00
Assume that you are the data scientist for a new email provider called fastmail.com. Fastmail intends to differentiate their email service from other email providers by providing excellent spam mail detection and elimination. You have been tasked with developing a machine learning solution that can detect whether an email message received into a users mail inbox is a spam mail. Which of the following techniques are you most likely to use?
Select one: a.
Linear Regression
b. A Classifier based upon Bayes theorem c.
Hierarchical clustering
d. Principle components analysis
Your answer is correct. The correct answer is: A Classifier based upon Bayes theorem
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3/8
12/22/21, 11:16 PM Question
Graded Quiz Unit 6: Attempt review
6
Correct Mark 1.00 out of 1.00
True/False: According to our textbook, residual plots are a useful tool for identifying clusters.
Select one: True False
The correct answer is 'False'.
Question
7
Correct Mark 1.00 out of 1.00
True/False: Weights in the artificial neuron are adjusted to ensure that the inputs will produce the output while training.
Select one: True False
The correct answer is 'True'.
Question
8
Correct Mark 1.00 out of 1.00
Assuming a data set with 1000 training outcomes of which 332 are positive, what is the Entropy? Round your answer to the nearest thousandths place.
Answer:
0.917
The correct answer is: 0.917 https://my.uopeople.edu/mod/quiz/review.php?attempt=6444495&cmid=269418
4/8
12/22/21, 11:16 PM Question
Graded Quiz Unit 6: Attempt review
9
Correct Mark 1.00 out of 1.00
Assuming you have the following sample data values (11,5,2,12,9), what is the Z-Score normalized value for 7. Provide your response rounded to the hundredths place.
Answer:
-0.19
The correct answer is: -0.19
Question
10
Correct Mark 1.00 out of 1.00
Assuming you have the following data values (12,11,2,13,8,10), what is the min-max normalized value for 6. Provide your response rounded to the thousandths place.
Answer:
0.364
The correct answer is: 0.364
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5/8
12/22/21, 11:16 PM Question
Graded Quiz Unit 6: Attempt review
11
Correct Mark 1.00 out of 1.00
True/False: A learning algorithm that is very accurate to the available training data, but when exposed to new cases has a high degree of variance and error is set to be “Overfit”.
Select one: True False
The correct answer is 'True'.
Question
12
Correct Mark 1.00 out of 1.00
Assuming K=1 how would the point X be classified using KNN? Training Distance Class point d1
4
Red
d2
3
Blue
d3
5
Blue
d4
7
Red
Select one: a.
Red
b. Blue
Your answer is correct. The correct answer is: Blue
https://my.uopeople.edu/mod/quiz/review.php?attempt=6444495&cmid=269418
6/8
12/22/21, 11:16 PM Question
Graded Quiz Unit 6: Attempt review
13
Correct Mark 1.00 out of 1.00
Assuming a data set with 20 training outcomes of which 12 are positive, what is the Entropy? Round your answer to the nearest thousandths place.
0.971
Answer:
The correct answer is: 0.971
Question
14
Correct Mark 1.00 out of 1.00
As a new data scientist for the Moogle corporation, you are asked to develop an algorithm that can detect spam emails and deliver them into a spam folder instead of an inbox. After looking at a plot of the data it looks like the following. Which technique would you use for your algorithm?
Select one: a.
Linear Regression
b. Curvilinear Regression c.
Spline Regression
d. Logistic Regression
Your answer is correct. The correct answer is: Logistic Regression
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7/8
12/22/21, 11:16 PM
Graded Quiz Unit 6: Attempt review
◄ Self-Quiz Unit 6 Jump to... Basic Prop Neural Network Simulator ►
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8/8...