This document provides instructions for a 30-minute machine learning visual quiz consisting of 15 multiple choice questions. Each question contains a hint image and query image to compare and contrast. The purpose of the quiz is to test students' recall of machine learning concepts discussed in class through an analytical, innovative format intended to be both educational and fun. The document wishes students the best of luck on the quiz.

1. CompTrast: Machine
Learning Visual Quiz
Compiled and Conducted by
Dr. UmmesalmaM

2. General Instructions
Course Name: Machine Learning
Course Code: MDS271
Test Date: 19/02/2021Time: 07:05am to 07:35am
Test Marks: 15x2=30
Duration: 30 Minutes
CompTrast Visual Quiz
You have been given 15 questions containing two images each. Image on the
left side is the hint image providing you the titbits related to query image
given in the right side. You need to identify which of the option associated
with the query image is odd one out (i.e. wrong).
NOTE: Compare and Contrast the information provided to you in order
identify the wrong option.

3. Quiz Objective
The purpose of this quiz was three fold:
1. To bring innovation in quiz methodology: I tried my best to bring
some innovativeness by raising the complexity of the quiz to
analysis level of blooms taxonomy.
2. Make the test fun & learn experience
3. To make the students revisit(recall) all the concepts discussed so far
in the machine learning class.
Hope the purposes will be well served and beneficial.
ALL THE BEST

4. Q1.Identify the WrongOption:
a. ‘Demographics + Transactions’ indicate data
b. ‘Churnedor not’ indicate program
c. ‘Churned or not’ indicate output
d. ‘Churned model’ indicate Program
Q1. Hint Image Q1. Query Image

5. Q2.Identify the WrongOption:
a. PointOne indicateP
b. Point one indicate T
c. Second Point indicate P
d. Third Point indicate E
Q2. Hint Image
Q2. Query Image
Example:Robot Learning Driving

6. Q3.Identify the WrongOption:
a. Part A indicate multiclass classification
b. PartB indicate multiclass classification
c. part B indicate multi-label classification
d. It is a supervised learning task
Q3. Hint Image Q3. Query Image

7. Q4.Identify the WrongOption:
a. Outer Circle indicate Artificial Intelligence (AI)
b. Machine learning is a superset of Neural Networks
c. Machine learningis not a subset of AI
d. Deep learning belongs to neural networks.
Q4. Hint Image Q4. Query Image

8. Q5.Identify the WrongOption:
a. Q5 Query image reflects supervised learning
b. Q5 Queryimage reflectsclustering problem
c. In Q5 Query image fig5a reflects classification
d. In Q5 Query image fig5a reflects regression
Q5. Hint Image Q5. Query Image

9. Q6.Identify the WrongOption:
a. Q6 Queryimage reflectssupervised learning
b. Q6 Query image reflects clustering problem
c. Q6 Query image reflects unsupervised learning
d. Both b and C are correct
Q6. Hint Image Q6. Query Image

10. Q7.Identify the WrongOption:
a. Q7 Query imagedoes not havean example of clustering
b. Apriori is an association rule mining algorithm
c. PCA is used for dimensionality reduction
d. SVM can be used for both regression and classification
Q7. Hint Image Q7. Query Image

11. Q8.Identify the WrongOption:
a. In Q8 Query image fig A indicate feature extraction
b. In Q8 Query image fig B indicate feature selection
c. In Q8 Query image fig A indicate featureselection
d. In feature extraction data loss occurs
Q8. Hint Image Q8. Query Image

12. Q9.Identify the WrongOption:
a. Voice recognition is an example of unsupervised learning
b. Unsupervised learning does not require class labels
c. Q9 query image is insufficient to make decision on whether it is the
output of supervised learning or supervised learning as it is just a output
image & no information about data is provided
d. Unsupervised learning needclass labels
Q9. Hint Image Q9. Query Image

13. Q10. Identifythe Wrong Option:
a. Figure1 in Q10 query image indicate labelled data
b. Figure2 in Q10 query image indicate PCA applied data
c. Figure3 in Q10 query image indicate LDA applied data
d. Figure3in Q10query image indicatePCA applied data
Q10. Hint Image Q10. Query Image

14. Q11. Identifythe Wrong Option:
a. Figure 11a indicate over fitting
b. Figure 11b indicate under fitting
c. Figure 11c indicate balanced fitting
d. Figure 11aindicate over fittingbecauseof high bias
Q11. Hint Image Q11. Query Image

15. Q12. Identifythe Wrong Option:
a. Fig12a indicates high positive correlation.
b. Fig12b indicates medium positive correlation.
c. Fig12cindicatesstrong negative correlation.
d. Fig12d indicates small negative correlation.
Q12. Hint Image Q12. Query Image

16. Q13. Identifythe Wrong Option:
a. PCA involves covariance factor
b. High covariance is in PC1 direction
c. High covarianceis in PC2direction
d. PCA reduces dimension
Q13. Hint Image Q13. Query Image

17. Q14.

18. Q14. Identifythe Wrong Option:
a. Figure a indicate normal distribution & figure d indicates uniform
b. figure b is rightskewed and figurec is leftskewed
c. figure b is left skewed and figure c is right skewed
d. f and e indicate tri-modal and bi-modal respectively.
Q14. Hint Image
Q14. Query Image

19. Q15. Identifythe Wrong Option:
a. Figure 15 a indicate filter approach based feature selection
b. Figure 15 b indicatefilterapproach basedfeature selection
c. Figure 15 b indicate wrapper approach based feature selection
d. Figure 15 a is faster feature selection approach
Q15. Hint Image
Q15. Query Image