Why is a human benchmark often weak for movie recommendations, credit-risk scoring, or demand forecasting?

True or False: It is difficult for people to assign the single best movie recommendation to each user in a database.

A classic hard forecasting example is the _____.

Match each situation where human performance is weak to the reason it matters for machine learning.

Order the reasoning steps for why a weak human benchmark makes evaluation difficult.

Why a weak human baseline is a poor yardstick in some prediction tasks

Explain why a podcast recommender has no obvious error-rate goal.

Give Two Examples of Tasks People Handle Poorly

Why is human intuition a weak guide for building a stock-prediction model?

True or False: A human-level benchmark is equally informative for every machine learning problem.