Question 2
Question 3
The pipeline combines multiple models for better model performance.
The pipeline allows for simultaneous training of the scaler and classifier.
The pipeline simplifies the code by encapsulating preprocessing and modeling steps.
The pipeline ensures that only linear SVM can be used for this classification task.
31 more questions in this paper
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More on the MLP End Term 3 Sept 2023 Set QPD1-S2 paper
The IIT Madras BS Machine Learning Practice (MLP) End Term paper sat on 3 Sept 2023, in the May 2023 term, set QPD1-S2: 34 questions for 100 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 | MLP End Term 3 Sept 2023 Set QPD1-S2 at a glance |
|---|---|
| Term | May 2023 term |
| Subject | Machine Learning Practice |
| Course code | BSCS2008 |
| Questions | 34 |
| Marks | 100 |
| Duration | 180 min |
| Numerical | 4 |
| MCQ | 24 |
| MSQ | 6 |
| Official paper | IIT M DIPLOMA ET1 EXAM QPD1 S2 03 Sep |
| Negative marking | No negative marking. |
| Updated |