What is the translation of " REGRESSION " in English?

• regression

Examples of using Regression in Chinese and their translations into English

Regression可以做什么?
But what does a regression do?

逻辑回归什么是logisticregression?
Next articleWhat is Logistic Regression?

Logisticregression是什么意思?
What is meant by Logistic Regression?

前世生活回归疗法PastLifeRegression.
Regression and past life regression therapy.

Logisticregression是什么意思?
What do u mean by logistic regression?

常见的算法包括CART(ClassificationAndRegressionTree),ID3,C4.5等。
CART(“Classification and Regression Trees”), C4.5, and CHAID.

Logisticregression是什么意思?
What do you mean by logistic regression?

所以，我们这里会从一个很简单的数学模型开始，它叫做SoftmaxRegression。
So, we start here with a very simple mathematical model called Softmax Regression.

EvidencefromaRegressionDiscontinuityDesign”的工作论文。
Evidence from a Regression Discontinuity Design'.

注意这里，Logisticregression是用于分类的,而不是回归。
A note to beginners: Logistic Regression is used for classification, not regression.

Multipleregression和multivariateregression之间的区别是什么?
What is the difference between linear and multiple regression?

这些模型包括logisticregression,neuralnetworks,和decisiontrees。
Topics include logistic regression, decision tree networks, and neural networks.

Multipleregression和multivariateregression之间的区别是什么?
What is the difference between multiple regression and multivariate analysis?

当X只有一个变量时（Linearregressionwithonevariable），称之为simpleregression。
When there is only one input variable(x), it's called simple linear regression.

Multipleregression和multivariateregression之间的区别是什么?
What's the difference between multivariate regression and univariate regression?.

每当涉及到对数据进行分类时，由于其通用性和可解释性，最受欢迎的是LogisticRegression。
Whenever it comes to classifying data, a common favorite for its versatility and explainability is Logistic Regression.

Ridgeregression通过对系数的大小施加惩罚来解决普通最小二乘法的一些问题。
Ridge regression addresses some of the problems of Ordinary Least Squares by imposing a penalty on the size of coefficients.

式（6.45）被称为Nadaraya-Watson模型或核回归（kernelregression）（Nadaraya,1964;Watson,1964）。
The result(6.45) is known as the Nadaraya-Watson model, or kernel regression(Nadaraya, 1964; Watson, 1964).

Gretl（GnuRegression，EconometricsandTime-seriesLibrary）是一款跨平台的计量分析软件。
The GNU Regression, Econometric and Time-Series Library(gretl) is a software package for econometric analysis.

如果你已经知道MNIST是什么，以及softmax（多项逻辑斯蒂）regression，那么你可能更喜欢这个快速入门教程。
If you already know what MNIST is, and what softmax(multinomial logistic) regression is, you might prefer this faster paced tutorial.

回归(Regression):如果需要的输出由一个或多个连续变量构成，那么这样的任务就被称为regression。
Regression: if the desired output consists of one or more continuous variables, then the task is called regression.

第一眼看上去，thepopulationregressionline和theleastsquaresline的差异性是细微的令人困惑的。
At first glance, the difference between the population regression line and the least squares line may seem subtle and confusing.

Gretl（GnuRegression，EconometricsandTime-seriesLibrary）是一款跨平台的计量分析软件。
Gretl(Gnu Regression, Econometrics and Time-series Library) is a cross-platform statistical package mainly for econometric analysis.

最终，可以训练出一个有监督学习算法（例如svm,logisticregression等），得到一个判别函数对y值进行预测。
Finally, we can train a supervised learning algorithm such as an SVM, logistic regression, etc. to obtain a function that makes predictions on the values.

由于Lassoregression能够产生稀疏模型，所以他可以用来执行特征选择，详情可以参见基于L1的特征选取。
As the Lasso regression yields sparse models, it can thus be used to perform feature selection, as detailed in L1-based feature selection.

式（6.45）被称为Nadaraya-Watson模型或核回归（kernelregression）（Nadaraya,1964;Watson,1964）。
The linear combination of the observations(6) is called the Nadaraya- Watson estimator of the regression function(Nadaraya 1964; Watson 1964).

新的StepwiseRegression功能还可以帮助我们自动化选择用于预测模型中最重要的变量。
A new batch of Stepwise Regression functionalities can help automate the process of selecting the most important variables to be used in a predictive model.

这些指标详细介绍了Classificationmetrics,Multilabelrankingmetrics,RegressionmetricsandClusteringmetrics.。
These metrics are detailed in sections on Classification metrics, Multilabel ranking metrics, Regression metrics and Clustering metrics.

对这个问题的早期研究可以追溯到20世纪70年代，有关近期的研究资料，请参阅Koenker,Roger(2005)QuantileRegression,CambridgeUniversityPress。
Early works on the question date from the late 1970s, but for recent materials see Koenker, Roger(2005) Quantile Regression, Cambridge University Press.

一个全面而易懂的泊松回归简介参见Coxe、West和Aiken的“TheAnalysisofCountData:AGentleIntroductiontoPoissonRegressionandItsAlternatives”（2009）。
Coxe, S., West, S.G. and Aiken, L.S.(2009) The Analysis of Count Data: A Gentle Introduction to Poisson Regression and Its Alternatives.