Hello Learners, In this Post, you will find NPTEL Data Mining Assignment 4 Week 4 Answers 2023. All the Answers are provided below to help the students as a reference don’t straight away look for the solutions.
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| COURSE NAME | ANSWER |
| NPTEL Data Mining Assignment 1 Answers | Click Here |
| NPTEL Data Mining Assignment 2 Answers | Click Here |
| NPTEL Data Mining Assignment 3 Answers | Click Here |
| NPTEL Data Mining Assignment 4 Answers | Click Here |
| NPTEL Data Mining Assignment 5 Answers | Click Here |
| NPTEL Data Mining Assignment 6 Answers | Click Here |
| NPTEL Data Mining Assignment 7 Answers | Click Here |
| NPTEL Data Mining Assignment 8 Answers | Click Here |
NPTEL Data Mining Assignment 4 Answers 2023:
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Q.1. Which of the following statement is true about Bayes classifier?
- (a) It always provides zero error when class distributions are known
- (b)It always provides the lowest possible error when class distributions are known
- (c) It may not always provide the lowest possible error when class distributions are known
- (d) It always provides the lowest possible error when class distributions are estimated
Q.2. Let A be an example, and C be a class. The probability P(C|A) is known as:
- (a) Apriori probability
- (b) Aposteriori probability
- (c) Class conditional probability
- (d) None of the above
Q.3. Let A be an example, and C be a class. The probability P(C) is known as:
- (a) Apriori probability
- (b) Aposteriori probability
- (c) Class conditional probability
- (d) None of the above
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Q.4. Consider a binary classification problem with two classes C1 and C2. Class labels of ten other training set instances sorted in increasing order of their distance to an instance x are as follows: {C1, C2, C1, C2, C2, C2, C1, C2, C1, C2}. How will a K=3 nearest neighbor classifier classify x?
Q.5. According to the following graph, what should be the appropriate value of K if KNN algorithm is used?
- (a) 5
- (b) 10
- (c) 15
- (d) 20
Q.6. Which of the following will be Euclidean Distance between the two data point A(1,3) and B(2,3)?
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Q.7. Which of the following will be Manhattan Distance between the two data point A(1,3) and B(2,3)?
Q.8. You are given the following set of training examples where x and y are the two inputs and Class is the target. What would be the target class of a data point x=1, y=1 using Euclidean distance in 3-NN?
Q.9. What would be the class if 7-NN is used?
- (a) Class +
- (b) Class –
- (c) None of the above
- (d) Can’t be determined.
Q.10. In the following figure you are given the distances between the two points A(x1,y1) and B(x2,y2).
Which of the statement is true?
- (a) Left: Manhattan distance and Right: Euclidean Distance
- (b) Left: Euclidean distance and Right: Manhattan distance
- (c) Both are Euclidean distance
- (d) None of the above
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Disclaimer: This answer is provided by us only for discussion purpose if any answer will be getting wrong don’t blame us. If any doubt or suggestions regarding any question kindly comment. The solution is provided by Brokenprogrammers. This tutorial is only for Discussion and Learning purpose.
About NPTEL Data Mining Course:
Data mining is study of algorithms for finding patterns in large data sets. It is an integral part of modern industry, where data from its operations and customers are mined for gaining business insight. It is also important in modern scientific endeavors. Data mining is an interdisciplinary topic involving, databases, machine learning and algorithms. The course will cover the fundamentals of data mining. It will explain the basic algorithms like data preprocessing, association rules, classification, clustering, sequence mining and visualization. It will also explain implementations in open source software. Finally, case studies on industrial problems will be demonstrated.
Course Layout:
- Week 1:Â Introduction, Data PreprocessingÂ
- Week 2:Â Association Rule Mining, Classification Basics
- Week 3:Â Decision Tree, Bayes Classifier, K nearest neighborÂ
- Week 4:Support Vector Machine, Kernel MachineÂ
- Week 5:Â Clustering, Outlier detectionÂ
- Week 6:Â Sequence miningÂ
- Week 7:Â Evaluation, Visualization.Â
- Week 8:Â Case studiesÂ
CRITERIA TO GET A CERTIFICATE:
Average assignment score = 25% of average of best 8 assignments out of the total 12 assignments given in the course.
Exam score = 75% of the proctored certification exam score out of 100
Final score = Average assignment score + Exam score
YOU WILL BE ELIGIBLE FOR A CERTIFICATE ONLY IF AVERAGE ASSIGNMENT SCORE >=10/25 AND EXAM SCORE >= 30/75. If one of the 2 criteria is not met, you will not get the certificate even if the Final score >= 40/100.
If you have not registered for exam kindly register Through https://examform.nptel.ac.in/
