MLS-C01 · Question #146
MLS-C01 Question #146: Real Exam Question with Answer & Explanation
The correct answer is B: Split the dataset into training, validation, and test sets.. https://stackoverflow.com/questions/49444262/normalize-data-before-or-after-split-of-training- and-testing-data Fit the scaler on the train set and use the same fit to transform train, val and test sets.
Question
A Data Scientist has explored and sanitized a dataset in preparation for the modeling phase of a supervised learning task. The statistical dispersion can vary widely between features, sometimes by several orders of magnitude. Before moving on to the modeling phase, the Data Scientist wants to ensure that the prediction performance on the production data is as accurate as possible. Which sequence of steps should the Data Scientist take to meet these requirements?
Options
- AApply random sampling to the dataset.
- BSplit the dataset into training, validation, and test sets.
- CRescale the dataset.
- DSplit the dataset into training, validation, and test sets.
Explanation
https://stackoverflow.com/questions/49444262/normalize-data-before-or-after-split-of-training- and-testing-data Fit the scaler on the train set and use the same fit to transform train, val and test sets.
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