Abstract: Some rules of example space and expounds some theorems are revealed.It explains that we figure out suitable of example sets if only explore a small quantity of item of example sets, thereby, it avoids to scan to scan every example, and only save a small quantity of item not huge example stes.

Key words: example learning, knowledge acquiring, machine learning, evaluation matrices