AWS Certified Machine Learning - Specialty MLS-C01 — Topic 1 Question 59

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?

Accepted Answer

Correct answer: B. The correct answer is B. Option B: Split the dataset into training, validation, and test sets. Then rescale the training set and apply the same scaling to the validation and test sets.

AWS Certified Machine Learning - Specialty MLS-C01 — Question 59