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EndsemMay 20252019 patternTE Comp

Machine Learning (ML) SPPU Endsem Question Paper May 2025

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
May 2025
Max. marks
70
Time
2½ Hours
Semester
VII
Paper code
[6404]-82

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 indicate full marks.
  3. Neat diagrams must be drawn wherever necesssary.
  4. Make suitable assumption whenever necessary.

Questions

  1. Q1

    1. a)

      Explain Linear Regression in brief.

      [6]
    2. b)

      Differentiate overfitting and under fitting with example.

      [6]
    3. c)

      Write short note on Training error and Generalization error in machine learning.

      [6]

  2. Q2

    1. a)

      Explain in brief importance of Evalution matrix.

      [6]
    2. b)

      Write short note on Lasso and Ridge Regression.

      Also asked:May 2023

      [6]
    3. c)

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

      [6]

  3. Q3

    1. a)

      Differentiate Binary classification with multiclass classification with example.

      [5]
    2. b)

      Explain with example ensemble learning in ML.

      Also asked:Nov 2025 ·May 2024

      [6]
    3. c)

      Write short note on metrics for Evaluating classifier performance.

      [6]

  4. Q4

    1. a)

      Explain KNN with example.

      [5]
    2. b)

      Write short note on handling imbalance data in multiclass classification.

      [6]
    3. c)

      Explain Bagging and Boosting used in ensemble learning. 2

      Also asked:May 2023

      [6]

  5. Q5

    1. a)

      Explain Hierarchical clustering with example.

      [6]
    2. b)

      What is outlier Analysis? Explain it with importance, advantages & disadvantages.

      [6]
    3. c)

      Write short note on Elbow method used in K-mean clustering.

      [6]

  6. Q6

    1. a)

      Compare Intrinsic motivation with extrinsic motivation.

      [6]
    2. b)

      Explain K mean clustering with essential steps used in it.

      [6]
    3. c)

      Write short note on. i) Graph Based clustering ii) Density Based clustering

      [6]

  7. Q7

    1. a)

      Write short note on importance of Activation function used in Neural Network.

      [5]
    2. b)

      Explain Recurrent Neural Network with Example. Compare it simple CNN.

      [6]
    3. c)

      Draw & Explain CNN architecture.

      [6]

  8. Q8

    1. a)

      Compare Back propagation Network with feed forward Network.

      [5]
    2. b)

      What are different types of padding used in CNN?

      [6]
    3. c)

      Write short note on layers used in CNN. i) Convolutional layer ii) Pooling layer 

      [6]