分类模型 in English translation

• classification model
• classification models

Examples of using 分类模型 in Chinese and their translations into English

而分类模型输出的是离散值，如「daylily」或「tigerlily」。
Compare with classification models, which output discrete values, such as"day lily" or"tiger lily.".

分类模型占主流的原因是大多数分析问题都涉及到做出决定。
The reason of a bias towards classification models is that most analytical problem involves making a decision.

在学习阶段，分类模型通过分析训练集来构建分类器。
In the learning step, the classification model builds the classifier by analyzing the training set.

回想一下我们前面关于在分类模型中测量准确度的不同方法的讨论。
Recall our discussion earlier regarding the different ways of measuring accuracy in a classification model.

一种NxN表格，用于总结分类模型的预测成效，即--标签和模型预测的分类之间的关联。
An NxN table that summarizes how successful a classification model's predictions were; that is, the correlation between the label and the model's classification..

下面哪个特征可以用来提升分类模型的精度？?
Which of the following features can be used for accuracy improvement of a classification model?

只要这些软件包已安装，NLTK可以透明地调用它们（通过系统调用来训练分类模型，明显比纯Python的分类实现快。
Once these packages have been installed, NLTK can transparently invoke them(via system calls) to train classifier models significantly faster than the pure-Python classifier implementations.

Holdridge生命地带分类模型法和林窗模型法(ForestGapmodel)是用以评价气候变化对森林生态系统潜在影响的两种生物物理模型。
The Holdridge life zone classification model and the Forest Gap model were the two biophysical models used in evaluating the potential impacts of climate change on forest ecosystems.

多级分类模型可以用于预测应该将客户服务请求送往何处（例如，“记账”、“技术支持”或“订单状态”）。
Multi-class classification models can be used to predict where to route a customer service request(e.g.,"Billing","Technical Support", or"Order status").

添加一个分类模型.
Add a classification model.

可以建立回归或者分类模型。
You can build classification and regression models.

ResNet-50以及其它流行的图片分类模型.
ResNet-50 and other popular models for image classification.

比如，你可以使用分类模型训….
You may want to use modelling clay….

可以使用其它分类模型空间，如PCA-MMC。
Other models can also be used, such as PCA-MMC.

Node2Vec表示改进了节点的聚类和分类模型。
Node2Vec representation improved the models for clustering and classification of the nodes.

使用非常少的数据构建强大的图像分类模型.
Building powerful image classification models using very little data.

在本文中，我们开发了一个图像分类模型。
In this article, we developed a model for image classification.

贝叶斯定理的使用给出了这个分类模型的名称。
The use of Bayes theorem gives this classification model its name.

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

AdaBoost在训练中建立了一个联合的分类模型。
AdaBoost builds an ensemble classification model during training.