PCA has reduced the dimensionality of the dataset because the combinations of features are de-correlated.
PCA has not reduced the dimensionality of the dataset because all principal components are retained.
PCA always reduces the dimensionality of the dataset regardless of the number of components retained.
PCA can never be used for dimensionality reduction.
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The IIT Madras BS Machine Learning Techniques (MLT) Quiz 2 paper sat on 12 Apr 2026, in the January 2026 term, set 1-3: 15 questions for 40 marks in 120 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 Quiz 2 12 Apr 2026 Set 1-3 at a glance |
|---|---|
| Term | January 2026 term |
| Subject | Machine Learning Techniques |
| Course code | BSCS2007 |
| Questions | 15 |
| Marks | 40 |
| Duration | 120 min |
| MCQ | 5 |
| MSQ | 4 |
| Numerical | 6 |
| Official paper | Machine Learning Techniques 06 Apr 26 |
| Negative marking | No negative marking. |
| Updated |
