分类误差 meaning in English
classification error
Examples
- Considersing that , this paper defines the criterion called grouping error and shows the best data - grouping method is the one which gets the minimum grouping error . this method makes up the lack of ability in determining the number of groups in previous methods
因此，定义了分类误差这个判断标准，取分类误差最小时类的个数和分类的方法为最佳的数据分类方法，从而弥补了凭借主观经验决定类数的不合理性。 - Study of classifier in neural networks , 1 ) this paper presents fix an initializing algorithm on classifier in bp neural networks . the algorithm can not only speed up convergence of bp neural networks and reduce the error of training , but also abstain abstain from converging to local minimum point
在神经网络分类器研究中， 1 )提出了一种确定bp网络分类器初值的方法，用来提高bp网络的收敛速度，降低分类误差，避免局部极小问题。 - Based on two phases and one phase we use the two scoring methods to do an experiment . using uci machine learning repository as experimental dataset , the results prove that the number of eeps we get is much less than the eps we get and two phases can correct the error well
实验证明与已有的基于ep的分类算法相比，仅使用eep建立的分类算法使用的ep数量少，并且能够获得相同或更高的预测精度；单个阶段不能纠正分类误差，分类结果也远没有两个阶段结果好。 - The data is nonlinearly mapped into high dimensional kernel space at first . then a set of feature vectors can be found such that the bhattacharyya distance of the classes mapped into lower dimensional feature space by feature vectors is maximized . thus the upper
该算法采用核函数把样本非线性映射到高维核空间，在核空间中寻找一组最优的特征向量，把样本线性映射到低维特征空间，使类别之间的bhattach删a距离最大，从而使特征空间中样本的baycs分类误差上界最小。