Skip to content
EndsemNov 20222019 patternBE Comp

Machine Learning (ML) SPPU Endsem Question Paper Nov 2022

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 2022
Max. marks
70
Time
2½ Hours
Semester
VII
Paper code
[5927]-343

Printed for: B.E. (Computer)

Instructions to the candidates

  1. Solve Q.1 or Q.2, Q.3 or Q.4, Q.5 or Q6, Q.7 or Q.8.
  2. Neat diagrams must be drawn wherever necessary.
  3. Figures to the right indicate full marks.
  4. Make suitable assumption whenever necessary.

Questions

  1. Q1

    1. a)

      Explain in brief techniques to reduce under fitting and over fitting.

      Also asked:May 2024

      [6]
    2. b)

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

      [6]
    3. c)

      Write short note on : i) MAE ii) RMSE iii) R 2

      [6]

  2. Q2

    1. a)

      Explain in brief lasso and Ridge Regression.

      Also asked:May 2025 ·May 2023

      [6]
    2. b)

      What is Bias and variance trade off for machine learning model?

      [6]
    3. c)

      Write short note on Evaluation metrics.

      [6]

  3. Q3

    1. a)

      Explain in brief methods used for Evaluating classification models.

      [5]
    2. b)

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

      [6]
    3. c)

      Write short note on Ensemble learing methods : i) Simple ii) Advanced

      [6]

  4. Q4

    1. a)

      Explain Random forest Algorithm with example.

      Also asked:Nov 2025 ·Nov 2024

      [5]
    2. b)

      Write short note on importance of confusion matrix.

      [6]
    3. c)

      Define following terms with reference to SVM. i) Separating hyperplane ii) Margin

      [6]

  5. Q5

    1. a)

      Explain Density Based clustering with refence to DBSCAN, OPTICS and DENCLUE.

      [6]
    2. b)

      What is K mean clustering? Explain with example.

      [6]
    3. c)

      Write short note on following Hierarchical clustering method : i) Agglomerative ii) Dendogram

      Also asked:Nov 2025

      [6]

  6. Q6

    1. a)

      What is LOF? Explain it with it's advantages and disadvantages.

      [6]
    2. b)

      Explain Graph Based clustering.

      Also asked:May 2025

      [6]
    3. c)

      Define following terms : i) Elbow method ii) Extrinsic and Intrinsic method

      [6]

  7. Q7

    1. a)

      Explain ANN with it's Architecture.

      [5]
    2. b)

      Obtain the output of Neuron Y for the Network shown in following fig. Using activation function as : i) Binary sigmoidal ii) Bipolar sigmoidal

      [6]
    3. c)

      Write short note on Back propagation network.

      Also asked:May 2025

      [6]

  8. Q8

    1. a)

      Explain in brief types of ANN based on layers.

      [5]
    2. b)

      What is Recurrent Neural Network? Explain with suitable example.

      Also asked:Nov 2025 ·May 2025 ·Nov 2024 ·Nov 2023

      [6]
    3. c)

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

      [6]