What is the translation of " SIMPLE LINEAR " in Chinese?

• 简单线性
• 一个简单的线性

Examples of using Simple linear in English and their translations into Chinese

To perform the simple linear regression:.
最简单的线性回归：.

In this article, we discussed 7 effective ways to perform simple linear regression.
在本文中，我们讨论了执行简单线性回归的7种有效方法。

Here we perform a simple linear regression of the Boston housing data:.
下面我们在波士顿住房数据上使用简单的线性回归：.

The case of one explanatory variable is called simple linear regression.
一个解释变量的情况称为简单线性回归。

Moreover, simple linear projections of economic growth trends can be misleading.
另外，有关经济增长趋势的简单线性预测会造成误解。

For this discussion, only simple linear regression is assumed.
本节我们讲解简单的线性回归。

However, because of its specialized nature, it is one of the fastest method when it comes to simple linear regression.
但是，由于其特殊性，它是简单线性回归中速度最快的方法之一。

Modifies labels to provide a simple linear version where colors are not used.
修改标签以提供不使用颜色的简单线性版本。

The case of a single explanatory variable is called Simple Linear Regression.
一个解释变量的情况称为简单线性回归。

Now let's use a simple linear classifier and try to obtain a perfect classification.
现在，让我们使用一个简单的线性分类器来尝试得到一个好的分类器。

A feature is an input variable, the x variable in simple linear regression.
特征是输入变量，即简单线性回归中的x变量。

For example, a simple linear regression can be extended by constructing polynomial features from the coefficients.
例如，可以通过从系数构建多项式特征来扩展简单的线性回归。

Second method usually beneficial for simple linear models and neural networks.
这种方法通常对简单线性模型和神经网络有益。

In simple linear regression, just one independent variable X is used to predict the value of the dependent variable Y.
在简单线性回归中，仅使用一个独立变量X来预测因变量Y的值。

This violates one of the assumptions required for fitting a simple linear regression model.
这违反了拟合简单线性回归模型需满足的假设之一。

In practice, simple linear regression is often outclassed by its regularized counterparts(LASSO, Ridge, and Elastic-Net).
实际上，简单的线性回归经常被正则化的同类算法（LASSO，Ridge和Elastic-Net）所忽略。

We can generalize our previous equation for simple linear regression to multiple linear regression-.
我们能够将我们以前的简单线性回归方程推广到多元线性回归：.

For example, if we predict the rent of an apartment based on just the square footage, it is a simple linear regression.
例如，如果我们仅根据平方英尺来预测公寓的租金，那么这是一个简单的线性回归。

Linear Regression is of mainly two types- Simple Linear Regression and Multiple Linear Regression.
线性回归主要有两类：简单线性回归和多元线性回归。

For example, a simple linear regression can be extended by constructing polynomial features from the coefficients.
比如，一个简单的线性回归器可以通过从系数构造多项式特征(polynomialfeatures)而扩展到非线性数据的拟合任务中。

Linear Regression is of mainly two types- Simple Linear Regression and Multiple Linear Regression.
线性回归主要有两种类型：简单线性回归和多元线性回归。

Simple linear regression is using an independent variable X, complex regression using more than one independent variable(X1, X2, and X3…Xi).
简单线性回归使用一个自变量X，复回归使用超过一个自变量（X1,X2…Xi）。

Throughout this book, you learn a range of techniques, starting with simple linear regression and progressing to deep neural networks.
您将学习一系列技术，从简单的线性回归开始，发展到深层神经网络。

The chapters progress from simple linear regression to multiple regression and then discuss the importances of the assumptions of such models.
线性回归章节从简单线性回归讲到多元回归，之后讨论了此类模型假设的重要性。

I guess something that literally could be programmed with a series of if conditions, or a simple linear function, is called“AI”.
我想大概那些可以用一系列「if」条件句或简单线性函数编程的东西都能叫「AI」吧。

Predictive algorithms range from relatively simple linear algorithms to more sophisticated tree-based algorithms, and finally to extremely complex neural networks.
预测算法的范围从相对简单的线性算法到更复杂的基于树的算法，最后是极其复杂的神经网络。

One of the main concerns of multicollinearity is that it can lead to coefficients being flipped from the direction we expect from simple linear regression.
多重共线性的一个主要问题在于：它会导致简单线性回归系数偏离我们想要的方向。

Several machine learning techniques, such as Gaussian processes and simple linear regression, have Bayesian and non-Bayesian versions.
一些机器学习技术，如高斯过程和简单线性回归，都有贝叶斯和非贝叶斯版本。

The second and third virial coefficients in this equation can be computed from experimental PρT data using a simple linear regression available in Excel.
该方程中的第二和第三维里系数，可以使用Excel中简单的线性回归法从实验PρT数据计算出来。

These variants include the linear regression model, simple linear regression, logistic regression, nonlinear regression, nonparametric regression, robust regression, and stepwise regression.
这些变体包括线性回归模型，简单线性回归，逻辑回归，非线性回归，非参数回归，稳健回归和逐步回归。