What is the translation of " THE TARGET VARIABLE " in Chinese?

• 的目标变量
• 目标变量

Examples of using The target variable in English and their translations into Chinese

In regression, the target variable is continuous.
回归问题的目标变量是连续的.

An initial model F0 is defined to predict the target variable y.
初始模型F0被定义为预测目标变量y。

The target variable may have two or more categories.
有序分类变量可以有两个或者多个已排序的类别。

AI learns to use the predictor variables to predict the target variable.
人工智能学会使用预测变量来预测目标变量。

I will import the data and plot the target variable(good/bad wine) as a refresher:.
我将导入数据然后画出目标变量（好/坏红酒）。

In machine learning, the variable that is being modeled is called the target variable;
在机器学习中，正在被建模的变量称为目标变量；.

Decision trees where the target variable can take continuous values(typically real numbers) are called regression trees.
目标变量可以采用连续值（通常为实数）的决策树称为回归树。

The last attribute is implicitly assumed to be the target variable that we want to predict.
最后一个属性被隐式假设为我们想要预测的目标变量。

These labels/categories usually belong to one feature/attribute, which is commonly known as the target variable.
这些标签/类别一般属于某种特征/属性，通常被称为目标变量。

For such matrices, a slight change in the target variable can cause huge variances in the calculated weights.
对于这样的矩阵，目标变量的微小变化会导致计算出的权重的巨大差异。

Here yellow colored is the input space and the white part represent the target variable.
黄色部分是输入空间，白色部分代表目标变量。

When the target variable to be predicted is continuous, we call the learning problem 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。

The algorithm learns to use the predictor variables to predict the target variable.
人工智能学会使用预测变量来预测目标变量。

Note that we store the anonymous function in the target variable, and then call the record function.
需要注意，我们在target变量中存储了一个匿名函数，然后调用了record函数。

We have the data set like this, where X is the independent feature and Y's are the target variable.
我们有这样的数据集，X是独立的特征，Y是目标变量。

The last attribute in the header is implicitly considered the target variable and missing data is marked with a question mark.
标题头中的最后一个属性隐式地被视为目标变量，缺失的数据用问号标记。

Here, Att represents the attributes or the independent variables and Class represents the target variables.
在这里，Att表示属性或独立变量，class表示目标变量。

When the target variable that we're trying to predict is continuous, the learning problem is also called 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。

In the Configuration tab, exclude the Item_Identifier and select the target variable on top.
在configuration选项卡中，排除Item_Identifier，并在顶部选择目标变量。

As the target variable is not continuous, binary classification model predicts the probability of a target variable to be Yes/No.
由于目标变量不连续，二进制分类模型预测目标变量的概率为Yes/No。

The resulting number is called the loss, because it indicates how bad the model is at predicting the target variables.
我们称这个结果为损失（loss），因为它指示了模型在预测目标变量方面的糟糕程度。

The prediction are now quite close to the target variables, and we can get even better results by training for a few more epochs.
现在的预测结果已非常接近目标变量；而且通过训练模型更多epoch，我们还能得到甚至更好的结果。

For comparison with the support vector machine, we first reformulate maximum likelihood logistic regression using the target variable t∈{- 1.
为了与支持向量机进行对比，我们首先使用目标变量重写最大似然logistic回归函数。

In this algorithm, the training model learns to predict values of the target variable by learning decision rules with a tree representation.
在这一算法中，训练模型通过学习树表示（Treerepresentation）的决策规则来学习预测目标变量的值。

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.
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。

The majority of the EDAs I examined focused on teasing out potential correlations between the target variable and the other columns.
我所研究的大部分EDA都侧重于梳理出目标变量与其他列之间的潜在关联性。

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.
如果我们要预测的目标变量是连续的，比如在咱们这个房屋价格-面积的案例中，这种学习问题就被称为回归问题。

Instead of Gaussians, we can use other distributions for the components, such as Bernoulli distributions if the target variables are binary rather than continuous.
我们也可以使用高斯分布以外的其他分布，如，如果目标变量是二值的而不是连续的，我们就可以使用伯努利分布。

The study made predictions for both the fluid intelligence level and the target variable independent from age, gender, brain size or MRI scanner used.
由此，研究人员还对流体智力水平和目标变量都做了预测，这些均与年龄、性别、大脑体积或者使用的核磁扫描仪型号无关。

Bivariate visualizations and summary statistics that allow you to assess the relationship between each variable in the dataset and the target variable you're looking at;
双变量可视化和汇总统计允许评估数据集中的每个变量与正在查看的目标变量之间的关系;