Question 1
+4 marksOne or more correct optionsSelect all that apply.
- A
- B
- C
- D
Perceptron.
A decision tree using axis-aligned splits.
Gaussian Naïve Bayes in which the class-conditional feature variances differ between the two classes.
A support vector machine with a linear kernel.
A support vector machine with an RBF (Gaussian) kernel.
Let
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The IIT Madras BS Machine Learning Techniques (MLT) End Term paper sat on 13 Sept 2026, in the May 2026 term, set S2: 18 questions for 47 marks in 180 minutes. The first 3 questions are below. Sign in with Google — it is free — to see the whole paper with its answers and explanations, in learning mode or as a timed mock test.
| Feature | MLT End Term 13 Sept 2026 Set S2 at a glance |
|---|---|
| Term | May 2026 term |
| Subject | Machine Learning Techniques |
| Course code | BSCS2007 |
| Questions | 18 |
| Marks | 47 |
| Duration | 180 min |
| MSQ | 7 |
| Numerical | 4 |
| MCQ | 7 |
| Official paper | Machine Learning Techniques 13 Sep 26 (Session 2) |
| Negative marking | No negative marking. |
| Updated |