1) error classification
错误分类
1.
These studies have investigated into various aspects such as the definition of error, collection of error samples, error classification, causes of errors, and also give a conclusion of error analysis tendency of empirical and corpus-based study.
回顾国内外尤其是国内学者近十年来有关二语习得中的错误理论的研究,内容包括:错误界定、错误样本收集、错误分类、错误起因,并总结出国内错误理论的研究趋势主要是运用实证性研究和基于语料库基础上的研究。
2.
Linguists have developed various ways of error classification from different points of view, and so were the ways of error correction.
语言学习者的错误分类问题一直是语言教学界长期争论的焦点。
2) error taxonomy
错误分类
1.
The topic and development of error analysis, together with the definition and inclination of error taxonomy, warrant a complementation to and an integration of current error classification of various sorts.
错误分析的主题和发展 ,错误分类的界定和倾向 ,使得有必要、也有可能对现有的各种错误分类进行补充和整合。
4) classification error rate
分类错误率
1.
For each of the methods,the classification error rate of the selected symptoms is assessed through cross validation using decision tree classifier.
首先,分别采用卡方、似然比、logistic回归等三种方法选择症状与衡量贡献度;并使用决策树分类器,通过交叉验证,评价所选择症状的分类错误率。
2.
,classification error rate or risks of the result are the lowest among all possible classification tools,so are frequently used to be the touchstones of other design method.
依据贝叶斯决策理论设计的分类器具有最优的性能,即所实现的分类错误率或风险在所有可能的分类器中是最小的,因此经常被用来衡量其他分类器设计方法的优劣。
5) the category of "errors"
"错误"的分类
6) error classification rate
错误分类率
补充资料：错误分类偏倚
错误分类偏倚
错误分类是指将一个调查对象，一个数值或一个特征错误地分到不是它所属的类别中。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条