T he algorithm has been trained and tested on Bacillus subtilis promoter dataset by the jackknife method.

对实际数据集进行的刀切法测试验证了算法的有效性。

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The tests showed exactly high classification validity: retrospective test 91.8%, Jackknife method 91.5%, prospective test 90.1%;

逐步判别分析所得的分类函数，各项检验准确率均很高：回顾性考核为91.8% ，刀切法为91.5 % ，前瞻性考核为90 .1%。

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The first step to use the Jackknife Method is to create Random Groups. And the paper presents three methods to do so and makes a comparison among them.

在使用刀切法时需要划分随机组，文中提出三种划分随机组的方法并对它们作了比较。

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