______________ generates a bunch of normally-distributed clusters of points with specific mean and standard deviations for each cluster.
sklearn.datasets.make_clusters()
sklearn.datasets.make_centers()
sklearn.datasets.make_normal_clusters()
sklearn.datasets.make_blobs()
Why is data preprocessing necessary?
Some columns have values only between 0 and 1
The data is divided into multiple types of files i.e. html, csv, tsv, etc.
The data has only numbers in all the columns.
Which of the following is correct with respect to R2-score?
R2 score is always positive and it may go up to infinity.
R2 score is always positive, but it ranges between 0 and 1 only.
R2 score can be negative. That happens if our model is worse than the mean model.
R2 score can be negative. That happens if the mean model is worse than our model.
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The IIT Madras BS Machine Learning Practice (MLP) End Term paper sat on 30 Apr 2023, in the January 2023 term, set QPD1-S2: 36 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 30 Apr 2023 Set QPD1-S2 at a glance |
|---|---|
| Term | January 2023 term |
| Subject | Machine Learning Practice |
| Course code | BSCS2008 |
| Questions | 36 |
| Marks | 100 |
| Duration | 180 min |
| MCQ | 26 |
| MSQ | 9 |
| Numerical | 1 |
| Official paper | IIT M DIPLOMA ET1 EXAM QPD1 S2 30 Apr 2023 |
| Negative marking | No negative marking. |
| Updated |
