样本测试实验结果表明，算法具有很高的识别率。
除此之外，本文还使用单一财务比率净资产收益率对样本公司绩效进行了分析。
Besides, sample companies are also analyzed by using single financial indicator Return On Equity.
实证研究表明，模型对预测样本的预测正确率都非常的高。
Positive researches indicated that the prediction correct rate of sample is satisfied.
采用相关样本t检验分别对两种条件下图画再认的反应时间和正确率进行统计分析。
The respond time and correct rate of picture recognition were analyzed with Paired-Samplest test.
再分别计算出各层的最优样本轮换率和总体的样本轮换率。
Then the paper computed the best sample rotation rate for each stratum and the whole.
再分别计算出各层的最优样本轮换率和总体的样本轮换率。
Then the paper computed the best sample rotation rate for each stratum and the whole.
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