AWS Certified Machine Learning - Specialty MLS-C01 — Topic 1 Question 209

Question

A finance company needs to forecast the price of a commodity. The company has compiled a dataset of historical daily prices. A data scientist must train various forecasting models on 80% of the dataset and must validate the efficacy of those models on the remaining 20% of the dataset. How should the data scientist split the dataset into a training dataset and a validation dataset to compare model performance?

Accepted Answer

Correct answer: A. The correct answer is A. Option A: Pick a date so that 80% of the data points precede the date. Assign that group of data points as the training dataset. Assign all the remaining data points to the validation dataset.

AWS Certified Machine Learning - Specialty MLS-C01 — Question 209