Skip to content

Machine Learning (ML) important questionsMost repeated in SPPU papers

These 13 questions appeared in more than one SPPU Machine Learning paper we have: 6 papers, from Sep 2023 to Nov 2025. The most-asked come first. Each one links to the papers it was asked in.

All ML papers and notes

Repeated questions

Endsem questions (7)

  1. 2×asked

    Describe the Random Forest ensemble method in detail.

    Nov 2025 ·Nov 2023

  2. 2×asked

    Differentiate between balanced and imbalanced classification.

    Nov 2025 ·Nov 2024

  3. 2×asked

    Differentiate between homogeneous and heterogeneous ensemble methods. provide examples of each type.

    Nov 2025 ·Nov 2023

  4. 2×asked

    Explain the DBSCAN algorithm. How does it work? What are its advantages and disadvantages.

    Nov 2025 ·Nov 2024

  5. 2×asked

    Explain the K-Means clustering algorithm. What are its advantages and disadvantages. 2

    Nov 2025 ·Nov 2023

  6. 2×asked

    What are kernel functions in SVM? Describe the Radial Basis Kernel, Gaussian, Polynomial, and Sigmoid kernel

    Nov 2025 ·Nov 2024

  7. 2×asked

    Explain any 4 evaluation measures of Multiclass classification.

    Nov 2024 ·Nov 2023

Insem questions (6)

  1. 3×asked

    Elaborate decision tree regression and random forest regression.

    Aug 2025 ·Sep 2024 ·Sep 2023

  2. 3×asked

    Explain any two evaluation metrics in regression model.

    Aug 2025 ·Sep 2024 ·Sep 2023

  3. 3×asked

    Explain Grouping and Grading models in a machine learning with example?

    Aug 2025 ·Sep 2024 ·Sep 2023

  4. 3×asked

    What distinguishes unsupervised learning from supervised and semi-supervised learning techniques?

    Aug 2025 ·Nov 2024 ·Sep 2023

  5. 2×asked

    Differentiate between multivariate regression from univariate regression?

    Aug 2025 ·Sep 2023

  6. 2×asked

    Describe Machine Learning and differentiate it from traditional programming.

    Sep 2024 ·Sep 2023

Questions count as repeated when their wording matches closely across papers. Numericals that depend on a figure are left out, since the figure changes from paper to paper.