由于样本空间比较小不具备统计学意义，但是目前它识别的准确率已经达到了80%~90%。

The sample size was too small to be statistically significant, but it was accurate about 80 to 90 percent of the time.

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在研究队在国际生物统计学杂志中的报告指出，系统配对个人和膝盖的准确率在34%。

The team report in the International Journal of Biometrics that the system was able to match a knee to an individual correctly 34% of the time.

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统计分析数据后，研究员可以对一个人是否患有厌食症或贪食症进行预测，准确率高达80%。厌食症或贪食症是饮食紊乱症最常见的两种症状。

Statistical analysis of the data enabled researchers to give an 80 per cent accurate prediction about whether a person had anorexia or bulimia - the two most common eating disorders.

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