Why can a random 70/30 train/test split be a bad idea in modern applications?

True or False: A random 70/30 split guarantees the test set matches the target distribution.

Before the modern era of big data, a common rule was to use a random _____ split for train/test sets.

Match each data scenario to whether a random 70/30 split is appropriate.

Order the reasoning steps for evaluating a random 70/30 split's suitability.

Explain why distribution mismatch undermines a random 70/30 split.

Diagnose a mobile app team's train/test split decision.

When does the random 70/30 split practice fail, according to the source?

Which example illustrates the risk of a random 70/30 split?

True or False: The 70/30 split was historically common before the era of big data.