In this paper we present a new classification model in machine learning. Our result is threefold: 1) The model produces comparable predictive accuracy to that of most common classification models. 2) It runs significantly faster than most common classification models. 3) It has the ability to identify a portion of unseen samples for which class labels can be found with much higher predictive accuracy. Currently there are several patents pending on the proposed model.

翻译：在本文中,我们提出了机器学习的新分类模式,结果有三重:(1) 模型产生与大多数常见分类模式相似的预测准确性。(2) 其运行速度比大多数常见分类模式快得多。(3) 能够识别部分可以找到等级标签的不可见样品,其预测准确度要高得多。目前,在拟议的模型上还有一些专利有待批准。