Which of the following statements correctly distinguishes the hard-margin SVM from the soft-margin SVM?
The hard-margin SVM has a feasible solution only when the training data is linearly separable, whereas the soft-margin SVM always has a feasible solution.
The hard-margin SVM allows some training points to violate the margin, whereas the soft-margin SVM forbids all margin violations.
Unlike the hard-margin SVM, the soft-margin SVM can only be used with non- linear kernels.
, which of the following statements about the perceptron algorithm are true?
None of these.
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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 1: 17 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 1 at a glance |
|---|---|
| Term | May 2026 term |
| Subject | Machine Learning Techniques |
| Course code | BSCS2007 |
| Questions | 17 |
| Marks | 47 |
| Duration | 180 min |
| MCQ | 11 |
| Numerical | 6 |
| Official paper | Machine Learning Techniques 13 Sep 26 (Session 2) |
| Negative marking | No negative marking. |
| Updated |
