Consider a dataset for a binary classification problem with five features, each of which is binary. If we go for a generative model that satisfies the class-conditional independence assumption, then how many free parameters do we need to learn?
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The IIT Madras BS Machine Learning Techniques (MLT) End Term paper sat on 10 May 2026, in the January 2026 term, set 1-2: 16 questions for 50 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 10 May 2026 Set 1-2 at a glance |
|---|---|
| Term | January 2026 term |
| Subject | Machine Learning Techniques |
| Course code | BSCS2007 |
| Questions | 16 |
| Marks | 50 |
| Duration | 180 min |
| Numerical | 9 |
| MCQ | 2 |
| MSQ | 5 |
| Official paper | Machine Learning Techniques 06 May 26 |
| Negative marking | No negative marking. |
| Updated |
