Question 1
The numeric part of the order (123, 456, 789, 101)
Only the first character of the order ID (O, O, O, O)
The column will remain unchanged
Each character of the order ID will be split into separate cells (O, r, d, e, r, I, D, 1, 2, 3)
Question 2
You and your friend are building a KNN model to classify customers based on their shopping patterns. You use cross-validation to choose K = 6, while your friend guesses and sets K = 2. On the test set, you notice that your friend's model has a much higher training accuracy but much lower test accuracy than yours. Which of the following is the best explanation?
Your friend’s model has higher bias than yours
Your friend’s model has higher variance and overfits the data
Your model underfits the data compared to your friend’s model
Your model overfits the data compared to your friend’s model
Question 3
You are running a K-means clustering algorithm on customer segmentation data. Each time you run the model, you get different cluster assignments, making it hard to compare results. Which parameter should you adjust in the kmeans() function to achieve more stable and consistent results?
algorithm
max_iter
n_clusters
n_init
32 more questions in this paper
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More on the Tools in Data Science (TDS) End Term 22 Dec 2024 paper
The IIT Madras BS Tools in Data Science (Tools in Data Science (TDS)) End Term paper sat on 22 Dec 2024, in the September 2024 term: 35 questions for 40 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 | Tools in Data Science (TDS) End Term 22 Dec 2024 at a glance |
|---|---|
| Term | September 2024 term |
| Subject | Tools in Data Science |
| Course code | BSSE2002 |
| Questions | 35 |
| Marks | 40 |
| Duration | 180 min |
| MCQ | 29 |
| MSQ | 6 |
| Official paper | IIT M FOUNDATION DIPLOMA FN EXAM QDF1 22 Dec 2024 |
| Negative marking | No negative marking. |
| Updated |