BCA 8th Semester
Machine Learning 2022 Board Question Paper

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Tribhuvan university

Bachelor In Computer Application

Course Title: Machine Learning

Code No:

Semester:VIII

2022

Full Marks:60 Pass Marks:24 Time:3 hours

Candidates are required to answer the question in their own words as far as possible.

Group A
Group B
Attempt any SIX question.
[6x5=30]
2.

What is Machine learning? Describe the types of learning.

3.

What is clustering? Describe the approaches used for clustering.

4.

What is sensitivity and specificity? Describe Confusion matrix with example.

5.

What is linear regression? Explain gradient descent algorithm.

6.

Describe training set, validation set and test set. Differentiate between training and testing.

7.

Describe line of best fit.

8.

What is naive bayes algorithm? How does it work? What are its merits and demerits?

Group C

Attempt any TWO questions

[2x10=20]
9.

How does k-means algorithm work? Suppose following data k = 2 use k-means algorithm to cluster O1(1, 1.5), O2(1, 4.5), O3(2, 1.5), O4(2, 3.5), O5(3, 2.5), O6(3, 4)

10.

What is perceptron? Explain back propagation algorithm with suitable example.

11.

How does SVM works? Describe functional margin, geometric margin and optimum margin classifier. Show the relationship between functional and geometrical margin.