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EndsemNov 20242019 patternBE Comp

Machine Learning (ML) SPPU Endsem Question Paper Nov 2024

All 8 questions from this SPPU endsem paper, as printed. Read them here or open the PDF.

Open the PDFMost repeated ML questions
Subject code
410242
Pattern
2019 pattern
Exam
Endsem
Session
Nov 2024
Max. marks
70
Time
2 ½Hours
Semester
VII
Paper code
[6354]-486

Printed for: B.E. (Computer Engineering)

Instructions to the candidates

  1. Answer Q.1 OR Q.2, Q.3 OR Q.4, Q.5 OR Q.6, Q.7 OR Q.8.
  2. Figures to the right side indicate full marks.
  3. Draw neat diagram wherever necessary.
  4. Assume suitable data, if necessary.

Questions

  1. Q1

    1. a)

      Explain Lasso Regression. Explain how Lasso Regression is used for feature selection.

      [6]
    2. b)

      Define different regression models.

      Also asked:May 2024

      [6]
    3. c)

      Describe the bias-variance trade-off and its relationship to under fitting and overfitting.

      Also asked:Nov 2025

      [6]

  2. Q2

    1. a)

      Explain the advantages of RMSE over MSE as an evaluation metric.

      [6]
    2. b)

      What do you mean by least square method? Explain least square method in the context of linear regression.

      Also asked:May 2024

      [6]
    3. c)

      Write a short note on Stochastic gradient descendent algorithms.

      [6]

  3. Q3

    1. a)

      Explain kernel methods which are suitable for SVM.

      Also asked:May 2024

      [6]
    2. b)

      What are advantages and disadvantages of K-NN?

      Also asked:May 2024

      [6]
    3. c)

      What are different distance metrics are used in K-NN?

      Also asked:Nov 2025 ·May 2024

      [5]

  4. Q4

    1. a)

      What is Multi Class Classification? Explain the variants of Multi Class Classification.

      Also asked:Nov 2025 ·May 2023

      [5]
    2. b)

      What are different techniques used for outlier handing?

      Also asked:May 2024

      [6]
    3. c)

      With suitable diagram, Explain Random forest Algorithm with example.

      Also asked:Nov 2025 ·Nov 2022

      [6]

  5. Q5

    1. a)

      Why K-medoid is used? Explain K-medoid algorithm.

      [5]
    2. b)

      Why density based clustering is used? Explain any one.

      Also asked:May 2024

      [6]
    3. c)

      This part has equations that don’t show as text. Open the PDF to read it.

      [6]

  6. Q6

    1. a)

      What is isolation factor model?

      Also asked:Nov 2025 ·May 2024

      [5]
    2. b)

      Explain Hierarchical Clustering with an example.

      [6]
    3. c)

      Micro-Average Precision and Recall, Micro-Average F-score,

      [6]

  7. Q7

    1. a)

      Explain Recurrent Neural Networks with an example.

      Also asked:Nov 2025 ·May 2025 ·Nov 2023 ·Nov 2022

      [6]
    2. b)

      What are different activation function used in NN?

      Also asked:May 2024

      [6]
    3. c)

      What is multilayer perceptron? Describe with diagram.

      [6]

  8. Q8

    1. a)

      Explain building blocks of RBF networks.

      Also asked:Nov 2025 ·May 2024 ·May 2023

      [6]
    2. b)

      What is personalized recommendation? What is content based recommendation?

      Also asked:May 2024

      [6]
    3. c)

      Explain the Convolution Neural Network (CNN) with suitable example. JJJ

      Also asked:Nov 2025 ·May 2024

      [6]