Experiments on engine show that, with the increasing of sample size, error classifying decreases continuously and finally, it fluctuates smoothly in some ranges.

• 结果表明，随着学习样本量的增加，该分类器的误判率越来越小，最终在一定范围内呈现平稳波动变化。