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Machine Learning Practice · Quiz 1 · 29 Oct 2023 · September 2023 term

Question 3: You’re working with a dataset that consists of training d…

Question 3

+2 marksOne correct option

You’re working with a dataset that consists of training data (‘train_data’) and test data (‘test_data’). The dataset contains both numerical and categorical features. You decide to employ a combination of ‘StandardScaler’ (for numerical columns) and ‘OneHotEncoder’ (for categorical columns) from ‘scikit-learn’ using the ‘ColumnTransformer’ utility. Which of the following actions is MOST likely to introduce data leakage or potential modeling issues?

  1. A

    You utilize ‘fit_transform’ on ‘train_data’ and then ‘transform’ on ‘test_data’ using the ‘ColumnTransformer’.

  2. B

    After observing a new category in the test data that was not present in the training data, you set the ‘handle_unknown’ parameter to ’ignore’ in ‘OneHotEncoder’.

  3. C

    You first apply ‘fit’ on the ‘test_data’ and then ‘transform’ on ‘train_data’ using the ‘ColumnTransformer’.

  4. D

    Before using ‘ColumnTransformer’, you independently apply ‘fit_transform’ to ‘train_data’ for both ‘StandardScaler’ and ‘OneHotEncoder’.

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Correct answer

  • C

    You first apply ‘fit’ on the ‘test_data’ and then ‘transform’ on ‘train_data’ using the ‘ColumnTransformer’.

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Question 3 of 23 in the IIT Madras BS Machine Learning Practice (MLP) Quiz 1 paper sat on 29 Oct 2023, in the September 2023 term (IIT M DIPLOMA AN2 EXAM QPD2 29 Oct 2023). It carries 2 marks.

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