I'm working on the lazy classifiers, but can anyone explain to me what is meant by, "Lazy classifiers are able to model complex decision spaces having hyperpolygonal shapes that may not be as easily describable by other learning algorithms (such as hyper-rectangular shapes modeled by decision trees)."

Thanks in advance