在树上剪枝以降低分类错误率。
The tree would be pruned to reduce classification error and over-fitting.
在很多应用中，组合使用多个分类器可以降低分类错误率。
In a wide range of applications, the combination of classifiers leads to substantial reduction of misclassification error.
实验结果表明，训练集比例至少为50%时才能使分类错误率达到相对平稳。
Results show that proportion of train-set needs to be at least 50% for a comparatively stable error-rate.
实验结果表明，基于KPCA特征提取法的支持向量机分类器的分类错误率在这四种分类算法中最低。
The experiment results concludes that the SVM classification method based on KPCA have the better classification effect than the other three.
使用线性分类器进行分类，并用“留一法”统计结果，正常人和早期DR病例的分类错误率为21.35%。
The classification error rate for normal and early stage DR samples reached 21.35% using a linear classifier and the leave-one-out method.
该文是在集对粗糙集模型的基础上，引入相对分类错误率的概念，提出了一种基于集对分析的变精度粗糙集模型。
In this paper, variable precision rough set model based on set pair analysis is proposed by introducing a concept of relatively classified fault rate.
实验证明，该模型在简单、高效的同时降低了对垃圾邮件分类的错误率。
This method is simple and efficient and decreases the classification error ratio.
实验结果表明，该方法能够用可理解性好的模糊系统实现低错误率的多分类器融合。
The experimental results show that the proposed method can fuse multiple classifiers with low classification error rate based on comprehensible fuzzy systems.
通过对联机样本进行的实验证明，该分类器保持欠切分错误率在一个较低水平的同时，有效地控制了过切分的错误率。
Experiments running on real samples show that the classifier reduces the over-segmentation error rate significantly while keeping the under-segmentation error rate in a very low level.
通过对联机样本进行的实验证明，该分类器保持欠切分错误率在一个较低水平的同时，有效地控制了过切分的错误率。
Experiments running on real samples show that the classifier reduces the over-segmentation error rate significantly while keeping the under-segmentation error rate in a very low level.
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