AWS Certified Machine Learning - Specialty MLS-C01 — Topic 1 Question 130

Question

A data scientist must build a custom recommendation model in Amazon SageMaker for an online retail company. Due to the nature of the company's products, customers buy only 4-5 products every 5-10 years. So, the company relies on a steady stream of new customers. When a new customer signs up, the company collects data on the customer's preferences. Below is a sample of the data available to the data scientist. How should the data scientist split the dataset into a training and test set for this use case?

Accepted Answer

Correct answer: B. The correct answer is B. Option B: Identify the most recent 10% of interactions for each user. Split off these interactions for the test set.

AWS Certified Machine Learning - Specialty MLS-C01 — Question 130