Are you a student struggling with the Data Mining NPTEL Week 4 assignment? Look no further! In this article, we have compiled a set of hints and answers to help guide you through the assignment.
Make sure to give it a try on your own first, but use these hints as a helpful resource.
NPTEL DATA MINING ASSIGNMENT ANSWERS 2023 -WEEK 4
Q1. Which of the following statement is true about Bayes classifier?
Answer: (c) It may not always provide the lowest possible error when class distributions are known
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Q2. Let A be an example, and C be a class. The probability P(C|A) is known as:
Answer: (b) Aposteriori probability
Q3. Let A be an example, and C be a class. The probability P(C) is known as:
Answer: (a) Apriori probability
Q4. 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?
Answer: (b) C1
Q5. According to the following graph, what should be the appropriate value of K if KNN algorithm is used?
Answer: (b) 10
Q6. Which of the following will be Euclidean Distance between the two data point A(1,3) and B(2,3)?
Answer: (a) 1
Q7. Which of the following will be Manhattan Distance between the two data point A(1,3) and B(2,3)?
Answer: (a) 1
Q8. 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?
Answer: (a) Class +
Q9. What would be the class if 7-NN is used?
Answer: (b) Class –
Q10. In the following figure you are given the distances between the two points A(x1,y1) and B(x2,y2).
Answer: (b) Left: Euclidean distance and Right: Manhattan distance
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Disclaimer: Please keep in mind that these answers are intended to serve as a reference for students. Our website does not guarantee the accuracy of the answers provided. We encourage all students to complete their assignments independently and use these answers as a supplement to their own understanding.
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