feature selection

基本解释

Feature selection is an important part of data processing.
特征选择是数据处理的一项重要内容。
It is also important to think about feature selection for training the model.
在训练模型时考虑使用特征选择也是很重要的。
Feature selection and feature extraction are common methods for dimensionality reduction.
特征选择和特征抽取是维数约简常用的两种方法。

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特征选择
Research on balanced feature selection algorithm.
2、均衡特征选择算法研究。
特征选取
With the research of two common methods: feature filtering and feature selection, a new algorithm based on minimum class difference is proposed.
结合对单词过滤与特征选取两类常用预处理方法的研究，本文提出了基于最小类差异的特征过滤算法。
电子、通信与自动控制技术
特征选取

属性筛选
特征挑选
Experiment results showed that feature selection methods can improve predictive abilities of classifiers.
研究结果均显示,使用特征挑选方法能够有效地提高分类器的预测能力。
数学
特征选择
特点选择