TL;DR of the paper, generated automatically.

Picking small test subsets to score models, with a fix for rare big errors.

• Problem: random subsets usually work, but rare picks give large errors.
• Fix: BestRand cuts high-error risk 50.2% and estimation error 16.4%.
• Cost: needs 51.3% of competing methods' construction cost.