What is the translation of " 回归问题 " in English?

• a regression problem

Examples of using 回归问题 in Chinese and their translations into English

回归：当预测连续值时，问题变成一个回归问题。
Regression: When predicting continuous values, the problems become a regression problem.

之前预测波特兰房价的用例被称为回归问题。
The previous use case of predicting housing prices in Portland is called a regression problem.

回归问题可以通过使用线性回归等监督学习算法来解决。
Regression problems can be solved by using supervised learning algorithms like linear regression..

决策树也可以应用于回归问题，使用DecisionTreeRegressor类。
Decision trees can also be applied to regression problems, using the DecisionTreeRegressor class.

对于回归问题，线性回归是最简单的线性模型。
For regression problems, linear regression is the most simple linear model.

合成正弦回归问题的预测分布在图1.17展现。
The predictive distribution for the synthetic sinusoidal regression problem is illustrated in Figure 1.17.

这基本上是一个回归问题。
Basically it is a matter of repatriation.

决策树模型常常用来解决分类和回归问题。
Decision tree learning is often used to resolve the classification and regression problems.

是分类问题还是回归问题?
Is this a classification or regression problem?

它最常用于分类，但也适用于回归问题。
This technique is usually used for classification but can also be applied to regression problems.

因此，决策树常常用来解决分类和回归问题。
Decision tree learning is often used to resolve the classification and regression problems.

其实这就是回归问题。
This is basically the problem with going back.

如果你的问题是一个回归问题，那么输出将是一个实值。
If your problem is a regression problem, then the output will be a real value.

回归问题的一个例子是预测鲑鱼的长度是其年龄和体重的函数。
An example of a regression problem would be the prediction of the length of a salmon as a function of its age and weight.

这是一个回归问题，数据集有550069行12列。
This data set is a regression problem consisting of 550069 rows and 12 columns.

在一些情况中是可以将回归问题转换成分类问题的。
In some cases, it is possible to convert a regression problem to a classification problem..

作为一个回归问题，输入变量是t-2,t-1,t，输出变量是t+1。
When phrased as a regression problem the input variables are t-2, t-1, t and the output variable is t+1.

回归**:回归问题指的是输出变量是一个实值，比如“价格”和“重量”.
Regression: A regression problem is when the output variable is a real value, such as“rupees” or“weight”.

在回归问题中，我们的目标是预测连续值的输出，比如价格或概率。
In a regression problem, we aim to predict the output of a continuous value, like a price or a probability.

如果你的模型的输出是一个数字，这是一个回归问题。
If the output of your model is number, then it is a regression problem.

当我们试图预测的目标变量是连续的，比如在我们的房屋例子中，我们叫该学习问题是一个回归问题。
When the target variable that we're trying to predict is continuous, such as in our housing example, we call the learning problem a regression problem.

价格作为大小的函数是连续的输出，所以这是一个回归问题。
Price as a function of size is acontinuous output, so this is a regression problem.

通过输出分类：如果一个模型的输出是一个数字，这是一个回归问题。
Categorize by output: If the output of the model is a number, it's a regression problem.

如果你的模型的输出是一个数字，这是一个回归问题。
If the output of your model is a number, it's a regression problem.

当我们试图预测的目标变量是连续的，比如在我们的房屋例子中，我们叫该学习问题是一个回归问题。
When the target variable that we're trying to predict is continuous, the learning problem is also called a regression problem.

回归：当预测连续值时，问题就成为了一个回归问题。
Regression: When predicting continuous values, the problems become a regression problem.

因此，例如，如果您想要根据距离预测汽车的速度，那么这是一个回归问题。
For example, if you want to predict the speed of a car, given the distance, it is a regression problem.

它是一个多类分类问题，但也可以定义为回归问题。
It is a multi-class classification problem, but could also be framed as a regression problem.

对于回归问题，这可能是平均输出值，对于分类问题，这可能是多数的(或最常见的)类值。
For regression problems, this might be the mean output variable, for classification problems this might be the mode(or most common) class value.