What is the translation of " BINARY CLASSIFICATION " in Chinese?

• 二元分类
• 二进制分类
• 一个二进制分类
• 一个二元分类

Examples of using Binary classification in English and their translations into Chinese

In a binary classification problem, N=2.
在一个二元分类模型中，N=2。

When there are only two labels, this is called binary classification.
当只有两个标签时，这称为二进制分类。

Here we assume binary classification and hence depict two possible output states.
这里我们假设二进制分类，因此描述了两种可能的输出状态。

When there are only two labels, this is called binary classification.
当只有两个标签时，这被称为二进制分类。

It is the go-to method for binary classification problems(problems with two class values).
这是二进制分类问题的首选方法（有两个类值的问题）。

Pentreath: Fraud detection is a good example of a binary classification problem.
Pentreath：欺诈检测是二元分类问题的一个很好的例子。

In binary classification, one class is termed positive and the other is termed negative.
在二元分类中，一种类别称为正类别，另一种类别称为负类别。

In machine learning, this is called a binary classification problem.
在机器学习机制中，我们将此称为二进制分类问题。

If your problem is a binary classification problem, then the output will be class values 0 and 1.
如果您的问题是二进制分类问题，则输出将为0和1类。

There's a limitation with our solution though- it only works for binary classification.
但我们的解决方法有一个限制-它只适用于二进制分类。

It is the go-to method for binary classification problems(problems with two class values).
它是二进制分类问题的首选方法（具有两个类值的问题）。

These ensemble models often achieve very good performance on binary classification tasks.
这些组合模型往往能够在二元分类任务中取得非常不错的表现。

Binary classification A classification case where the label is only one out of two classes.
二元分类一个分类事例，其中标签仅为两个类中的一个。

An industry-standard metric to evaluate the quality of a binary classification machine learning model.
一个行业标准指标，用于评估二进制分类机器学习模型的质量。

A binary classification problem where the labels for the 2 classes have significantly different frequencies.
一种二元分类问题，在此类问题中，两种类别的标签在出现频率方面具有很大的差距。

The average_precision_score function works only in binary classification and multilabel indicator format.
该average_precision_score功能仅适用于二进制分类和多标签指示器格式。

A binary classification problem in which the labels for the two classes have significantly different frequencies.
一种二元分类问题，在此类问题中，两种类别的标签在出现频率方面具有很大的差距。

Logistic regression is best suited for binary classification datasets where y= 0 or 1, where 1 denotes the default class.
逻辑回归最适合二元分类（数据集中y=0或1，其中1指默认类别。

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。

For example, suppose you have a binary classification problem where there are three predictor variables.
例如，假设您遇到了二元分类问题，因为有三个预测器变量。

Binary classification refers to predicting only two categories(for example, classifying an image as a picture of either a'cat' or a'dog').
二元分类指的是仅预测两个类别（例如，将图像划分为“猫”或“狗”图片）。

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 multiclass definition here seems the most reasonable extension of the metric used in binary classification, though there is no certain consensus in the literature:.
这里的multiclass定义似乎是二进制分类中使用的度量的最合理的扩展，尽管在文献中没有达成一定的共识:.

For example, a binary classification model can be used to predict whether a website comment is spam(e.g., yes or no).
例如，一个二进制分类模型可以用于预测网站的评论是否是垃圾内容（例如，是或者不是）。

Amazon Machine Learning supports three types of ML models: binary classification, multiclass classification, and regression.
AmazonMachineLearning支持三种ML模型：二进制分类、多类别分类和回归。

Amazon Machine Learning: A binary classification models output a score that ranges from 0 to 1.
AmazonMachineLearning：二进制分类模型输出一个介于0和1之间的分数。

Amazon ML supports three types of ML models: binary classification, multiclass classification, and regression.
AmazonMachineLearning支持三种类型的ML模型：二进制分类、多类别分类和回归。

Assessing fairness in binary classification models: The image classification model for smile detection mentioned above.
评估二进制分类模型的公平性：这是上文提及的微笑检测图像分类模型。

For example, in the following image representing a binary classification problem, the decision boundary is the frontier between the orange class and the blue class:.
例如，在以下表示某个二元分类问题的图片中，决策边界是橙色类别和蓝色类别之间的分界线：.

For example, suppose we have a binary classification problem, class X represents 95% of the data and class Y the other 5%.
例如，假设我们有一个二进制分类问题，X类代表95%的数据，Y类代表其他5%的数据。