What is the translation of " A CLASSIFICATION PROBLEM " in Chinese?

• 分类问题

Examples of using A classification problem in English and their translations into Chinese

This challenge falls under the category of a classification problem.
这项挑战归入分类问题这一类。

In a classification problem, we are trying to predict discrete-valued outputs.
在分类问题中，我们尝试预测出离散的输出。

If the output of your model is a class, it's a classification problem.
如果你的模型的输出是一个类，这是一个分类问题。

It is not only a classification problem but also a timing problem..
这既是分类问题，也是时间问题。

If the output of the model is a class, it's a classification problem.
如果模型的输出是一个类别，那么这就是一个分类问题。

This is a classification problem, not a regression problem..
这样的话，这就是一个分类问题而不是回归问题。

If the output of our model is a class(or category), it's a classification problem.
如果模型的输出是一个类（或者分类），这是一个分类问题。

It is not only a classification problem, but also a timing problem..
这既是分类问题，也是记账时间问题。

In some cases, it is possible to convert a regression problem to a classification problem.
且在一定情况下可以将回归问题转换成分类问题。

It is not only a classification problem, but also a timing problem..
这不仅是分类问题，也是确定时段问题。

The analogy above of teaching a child to identify a dog is another example of a classification problem.
上面教孩子识别猪的类比是分类问题的另一个例子。

It is not only a classification problem, but also a timing problem..
这不仅是一个分类问题，而且也是计时的问题。

This means very simple problems where, say, the two classes in a classification problem can be neatly separated by a line.
也就是说非常简单的问题，例如，分类问题中可以被一行整齐地分隔开的两个类。

Not only is it a classification problem, but it is also a timing problem..
这不仅是分类问题，也是记账时间问题。

For a classification problem, an activation function that works well is softmax.
对于一个分类问题，一个很好的激活函数是softmax。

You have to find yourself shoehorning a classification problem into a clustering problem, or a clustering problem into a hypothesis testing problem..
你必须学会如何将分类问题归为聚类问题，或将聚类问题归为假设检验问题。

Classification- A classification problem is when the output variable is a category, such as“red” or“blue” or“disease” and“no disease”.
分类**:分类问题指的是当输出变量属于一个范畴，比如“红色”和“蓝色”或者“生病”和“未生病”。

And so, we make this a classification problem instead of making it one of regression.
因此，我们一个将问题转化为分类问题，而不是回归问题。

Contrast this with a classification problem, where we aim to predict a discrete label(for example, where a picture contains an apple or an orange).
相对的，一个分类(Classification)问题则是预测一个离散的标签(例如：一个图片是包含包含一个苹果还是一个橙子)。

Looks like this is a classification problem as opposed to a regression problem..
这样的话，这就是一个分类问题而不是回归问题。

For example, consider a classification problem in which the input dataset has a hundred features.
例如，考虑一个输入数据集包含一百个特征的分类问题。

For instance, consider a classification problem where the input data set includes a hundred features.
例如，考虑一个输入数据集包含一百个特征的分类问题。

This is a multi-class classification problem.
它是一个多类分类问题。

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

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

But we also have a multiclass classification problem.
但我们也有一个多类分类的问题。

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

A simple classification problem on TensorFlow Playground.
TensorFlowPlayground上一个简单的分类问题.