At last, the jackknife method is used to raise the accuracy of the measurement results. Through the instance, the conclusion is proved that jackknife method is better for reducing the measurement error.
最后提出应用刀切法来提高测量结果的精确度，并通过实例证明这种方法对于降低测量误差有较好的作用。
参考来源 - 测量误差对统计推断的影响及其对策·2,447,543篇论文数据，部分数据来源于NoteExpress
对实际数据集进行的刀切法测试验证了算法的有效性。
T he algorithm has been trained and tested on Bacillus subtilis promoter dataset by the jackknife method.
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%。
The tests showed exactly high classification validity: retrospective test 91.8%, Jackknife method 91.5%, prospective test 90.1%;
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