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.
- 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
- Answer Q.1 or Q.2, Q.3 or Q.4, Q.5 or Q.6, Q.7 or Q.8.
- Figures to the right indicate full marks.
- Neat diagrams must be drawn wherever necesssary.
- Make suitable assumption whenever necessary.
Questions
Q1
- a)[6]
Explain Linear Regression in brief.
- b)[6]
Differentiate overfitting and under fitting with example.
- c)[6]
Write short note on Training error and Generalization error in machine learning.
OR- a)
Q2
- a)[6]
Explain in brief importance of Evalution matrix.
- b)[6]
- c)[6]
This part has equations that don’t show as text. Open the PDF to read it.
- a)
Q3
- a)[5]
Differentiate Binary classification with multiclass classification with example.
- b)[6]
- c)[6]
Write short note on metrics for Evaluating classifier performance.
OR- a)
Q4
- a)[5]
Explain KNN with example.
- b)[6]
Write short note on handling imbalance data in multiclass classification.
- c)[6]
Explain Bagging and Boosting used in ensemble learning. 2
Also asked:May 2023
- a)
Q5
- a)[6]
Explain Hierarchical clustering with example.
- b)[6]
What is outlier Analysis? Explain it with importance, advantages & disadvantages.
- c)[6]
Write short note on Elbow method used in K-mean clustering.
OR- a)
Q6
- a)[6]
Compare Intrinsic motivation with extrinsic motivation.
- b)[6]
Explain K mean clustering with essential steps used in it.
- c)[6]
Write short note on. i) Graph Based clustering ii) Density Based clustering
Also asked:Nov 2022
- a)
Q7
ORQ8
- a)[5]
Compare Back propagation Network with feed forward Network.
Also asked:Nov 2022
- b)[6]
What are different types of padding used in CNN?
- c)[6]
Write short note on layers used in CNN. i) Convolutional layer ii) Pooling layer
- a)