Results show that FM has excellent performance. Error probability of both Least Square model and Crossvalidation estimation are all under2.5%. FM is a kind of good supplement to traditional classifiers.

 
  • 结果表明;分类效果较好;无论是总体的模型还是交互检验;预测误差率都在2.;5%25下;fm变量是传统分类变量的有益补充。
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