MULTI-LABEL CLASSIFICATION 中文是什么意思 - 中文翻译

• 多标签分类
• 一个多标签分类

在 英语 中使用 Multi-label classification 的示例及其翻译为 中文

This is a multi-label classification problem.
这是一个多标签分类问题。

This type of problem is known as multi-label classification.
因此，这些类型的问题被称为多标签分类问题。

Multi-label classification- There are multiple possible outcomes.
多元分类：有多个可能的结果。

Not to be confused with multi-label classification.
请不要和多标签分类相混淆.

Multi-label classification using image has also a wide range of applications.
使用图像的多标签分类也有广泛的应用。

That is called a multi-label classification problem.
这被称为多标签分类（multi-labelclassification）问题。

In multi-label classification, we want to predict multiple output variables for each input instance.
在多标签分类中，我们要预测每个输入实例的多个输出变量。

More labels, that is called multi-label classification.
这种情况称之为多标签分类（MultilabelClassification）。

In multi-label classification, we want to predict multiple output variables for each input instance.
在多标记分类中，我们要为每个输入实例预测多个输出变量。

This is called a multi-class, multi-label classification problem.
这被称为多标签分类（multi-labelclassification）问题。

In multi-label classification, we want to predict multiple output variables for each input instance.
在多标签分类中，我们希望为每个输入实例预测多个输出变量。

More labels, that is called multi-label classification.
这被称为多标签分类（multi-labelclassification）问题。

In multi-label classification, the roc_auc_score function is extended by averaging over the labels as above.
在多标签（multi-label）分类上，roc_auc_score通过对上面的label进行平均。

Basically, there are three methods to solve a multi-label classification problem, namely:.
基本上，有三种方法来解决一个多标签分类问题，即:.

Now, in a multi-label classification problem, we can't simply use our normal metrics to calculate the accuracy of our predictions.
现在，在一个多标签分类问题中，我们不能简单地用我们的标准来计算我们的预测的准确性。

Now, let us look at the second method to solve multi-label classification problem.
现在，让我们看一下解决多标签分类问题的第二种方法。

Further, the model supports multi-label classification in which a sample can belong to more than one class.
此外，该模型支持多标签分类，其中样本可以属于多个类。

Here, we can have multiple classes that each audio may belong to, aka, a multi-label classification problem.
在这里，我们可以有多个类，每个音频可能属于多标签分类问题。

Further, the model supports multi-label classification in which a sample can belong to more than one class.
此外，该模型支持多标签分类，一个样本可能属于多个类别。

These types of problems, where we have a set of target variables, are known as multi-label classification problems.
在这些类型的问题中，我们有一组目标变量，被称为多标签分类问题。

The horse tagging task was multi-label classification, and the nudity detection task was binary classification..
标记马的任务是一个多标签分类任务，裸照检测是一个二元分类任务。

Further, the problem may be framed in a way that requires multiple classes assigned to a text, so-called multi-label classification.
此外，这个问题也可能是一个文本被分为多个类的方式，即所谓的多标签分类。

Further, the model supports multi-label classification in which a sample can belong to more than one class.
更进一步,MLP模型还支持多标签分类(multi-labelclassification),其中一个样本可以属于不止一个类。

Further, the problem may be framed in a way that requires multiple classes assigned to a text, so-called multi-label classification.
此外，这个问题可以用某种方式加以解决，将多个类分配给一个文本，即所谓的多标签分类。

In multi-label classification, the roc_auc_score function is extended by averaging over the labels as above.
在multi-labelclassification（多标签分类）中，roc_auc_score函数通过在标签上进行平均来扩展above.

The multiple scales of social relationships encoded by this novel approach are useful for multi-label classification and regression tasks in networks.
使用这种新方法编码的多尺度社会关系对于网络中的多标签分类和回归任务都是可用的。

Multi-Label classification has a lot of use in the field of bioinformatics, for example, classification of genes in the yeast data set.
多标签分类在生物信息学领域有很多用途，例如，在酵母数据集中的基因分类。

In this article, I will give you an intuitive explanation of what multi-label classification entails, along with illustration of how to solve the problem.
在这篇文章中，我将给你一个直观的解释，说明什么是多标签分类，以及如何解决这个问题。

In multi-label classification, OvR is known as binary relevance and the prediction of multiple classes is considered a feature, not a problem.
在多标签分类中，OvR被认为是“二元相关性”，并且被预测成多个类别被认为是一项特色，而非问题.