Question 1
80%
60%
20%
15%
Question 2
Question 3
Match the characteristics given below with the appropriate ensemble technique.
1. Decision stumps
2. Deep decision trees
3. Parallel execution
4. Sequential execution
Bagging → (2), (3); Boosting → (1), (4)
Bagging → (1), (4); Boosting → (2), (3)
Bagging → (1), (3); Boosting → (2), (4)
Bagging → (2), (4); Boosting → (1), (3)
27 more questions in this paper
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More on the MLT End Term 1 Sept 2024 Set QDF1 paper
The IIT Madras BS Machine Learning Techniques (MLT) End Term paper sat on 1 Sept 2024, in the May 2024 term, set QDF1: 30 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 1 Sept 2024 Set QDF1 at a glance |
|---|---|
| Term | May 2024 term |
| Subject | Machine Learning Techniques |
| Course code | BSCS2007 |
| Questions | 30 |
| Marks | 50 |
| Duration | 180 min |
| MCQ | 13 |
| Numerical | 14 |
| MSQ | 3 |
| Official paper | IIT M FOUNDATION DIPLOMA AN EXAM QDF3 01 Sep 2024 |
| Negative marking | No negative marking. |
| Updated |