Google Cloud Professional Machine Learning Engineer PMLE — Topic 1 Question 53

Question

Your team is working on an NLP research project to predict political affiliation of authors based on articles they have written. You have a large training dataset that is structured like this: You followed the standard 80%-10%-10% data distribution across the training, testing, and evaluation subsets. How should you distribute the training examples across the train-test-eval subsets while maintaining the 80-10-10 proportion?

Accepted Answer

Correct answer: B. The correct answer is B. Option B: Distribute authors randomly across the train-test-eval subsets: (*) Train set: [TextA1, TextA2, TextD1, TextD2,...] Test set: [TextB1, TextB2,...] Eval set: [TexC1,TextC2...].

Google Cloud Professional Machine Learning Engineer PMLE — Question 53