准确率

The accuracies of training set and calibration set were 98% and 97%, respectively.

判别模型的准确率检验结果，训练样本为98%，验证样本为97%。

The results show that the new method can improve the accuracy of categorization and reduce the categorization time.

实验结果表明，该方法不但可以提高分类的准确率，而且可以减少分类时间，是一种有效的方法。

Objective To improve MRI diagnostic accuracy of tumors in cerebellum.

目的：提高小脑肿瘤的MRI诊断准确率。

This text has put forward the concept of the template of image recognition and characteristic recognition vector.

当全息图的衍射效率极为不均匀，再现图像的信噪比极差时，直接识别的识别准确率极低。

The result shows the mean accuracy of classification rate is up to 95.41% for freshwater plankton images, such as chironomid larvae, cyclops and harpacticoida.

通过对红虫、剑水蚤、猛水蚤样本进行分类试验证明，平均识别准确率达到95.41%，验证了该方法的有效性。

It yields an accuracy rate of over 90% for X chromosomes, and over 80% for Y chromosome.

它会产生一个以上的X染色体，90％的准确率，超过80％的Y染色体。

Cases were observed injury of knee joint cruciate ligaments merely.1 case with rupture of knee joint cruciate ligaments was not observed in CT images. The accuracy was 93.33%. The injury of tendon and ligament such as the rupture, thickening, hydropsia and circuity also were showed by 16-slice spiral CT image.

在15例膝关节交叉韧带损伤病例中，8例交叉韧带损伤伴撕脱骨折诊断明确，6例单纯交叉韧带断裂诊断明确， 1例韧带断裂未显示，诊断准确率为93.33%。16层螺旋CT可显示肌腱的断裂、增粗、水肿和迂曲等。

In the research area of machine learning, people work hard to improve the predicted accuracy of a classifier.

摘要 在机器学习的研究领域中，寻求预测准确率的提升一直是众多学者焦点所在。

It compares the vector space model andthe sentence space model in classifying the same document with the recall and the precision from different granularity, word granularity andsentence granularity.

比较了从词、句子两个不同粒度对文档进行表示的向量空间模型和句子空间模型在对同一问题进行分类时的召回率和准确率。

Clumpy and deep biopsy with timely immunohistochemistry can improve the accuracy of endoscopic diagnosis.

内镜下多块、深挖取材结合及时免疫组织化学检查可提高内镜诊断准确率。

The objective is to subjugate and discourage the people, because that allows the elite to continue to rule unopposed.

其目的是压制和打击人民的积极性，因为这可以让实权派继续统治不会沦为反对派。

GOD,this is the second time you vanquished me!

天啊，这是第二次你打败了我！