What is the translation of " 分类模型 " in English?

• classification model
• classification models

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

在10分钟内构建你的第一个图像分类模型：!
Build your First Image Classification Model in just 10 Minutes!

有多种分类模型可用于干系人分析，如：.
There are multiple classification models used for stakeholders analysis, such as:.

例如，在K近邻分类模型中….
For example, in the K-nearest neighbor classification model….

分类模型经常被用于各种类型的应用。
Classification models are frequently used in all types of applications.

流失预测是分类模型的另一个重要应用。
Churn prediction is another important application of classification models.

一种NxN表格，用于总结分类模型的预测效果；.
An NxN table that summarizes how successful a classification model's predictions were;

一种NxN表格，用于总结分类模型的预测成效；.
An NxN table that summarizes how successful a classification model's predictions were;

使用非线性的多项式，能够建立更好的分类模型。
Using non-linear polynomial terms helps up come up with a better classifying model.

我们将开发一个图像分类模型，它将两个版本的图像作为输入，每个版本的大小不同。
We will develop an image classification model that takes two versions of the image as input, each of a different size.

分类模型通常是通过给神经网络提供大量带有这些类别标签的数据样本进行训练。
Classification models are typically trained by showing a neural network large amounts of data labeled with these categories as examples.

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。
As the target variable is not continuous, binary classification model predicts the probability of a target variable to be Yes/No.

分类模型生成的原始（非标准化）预测向量，通常会传递给标准化函数。
The vector of raw(non-normalized) predictions that a classification model generates, which is ordinarily then passed to a normalization function.

对于短线来说，分类模型有更多应用，尽管回归模型（预测汇率水平和数量）对于两者均有相关性。
For the short term, classification models have more applications, although regression models[predicting exchange rate levels and quantities] are equally relevant for both.

当你开始你的第一个基本回归或分类模型的时候，它至少会在你的脑海里闪现。
Right around the time you get your first basic regression or classification model going, it will at least cross your mind.

二元预测非常适合解决「是或否」问题，但分类模型可以做的比这还要多得多。
Binary predictions like this are great for resolving yes or no questions, but classification models can do much more.

通过密切关注原始数据集创建过程，我们测试了当前分类模型泛化到新数据的程度。
By closely following the original dataset creation processes, we test to what extent current classification models generalize to new data.

例如，一家信贷公司可以使用分类模型来确定贷款申请人的低、中或高信用风险。
For example, a classification model can be used to identify loan applicants as low, medium, or high credit risks[4].

例如，一个自然语言处理分类模型可以将一句话归类为法语、西班牙语或意大利语。
For example, a natural language processing classification model could determine whether an input sentence was in French, Spanish, or Italian.

Tensorflowestimator类提供了一个统一的training和evaluation组件来用于回归和分类模型。
Tensorflow estimator classes provide a unified training and evaluation harness for regression and classification models.

例如，某个自然语言处理分类模型可以确定输入的句子是法语、西班牙语还是意大利语。
For example, a natural language processing classification model could determine whether an input sentence was in French, Spanish, or Italian.

在幕后，数据分类模型应该包括在其生命周期中会一直使用新创建的文档的元数据。
Behind the scenes, a data classification model should include metadata that sticks with the newly created document throughout its life.

任何熟悉构建文本分类模型过程的人都知道，它包含以下三个步骤：.
Anyone familiar with the process of building a text classification model would know that it involves three steps listed below:.

我们运行一个深度学习分类模型，用到了同样的特征工程和去噪过程。
We ran a deep learning classification model using the same feature engineering and noise removal process.

企业风险管理框架(包括风险分类模型来支持风险识别和评估).
Knowledge of the enterprise's risk management framework(including the risk classification model used to support risk identification and assessment).

手动部署并测试分类模型，方法是收集评分数据，修改SPSSModeler中的现有流，以便对移动数据进行分析和评分。
Deploy and test the classification model manually by collecting scoring data, modifying the existing stream in SPSS Modeler to analyze and score the movement data.

新的观察结果被馈入所有的树并且对每个分类模型取多数投票。
A new observation is feed into all the trees and taking a majority vote for each classification model.

谷歌AI的研究人员Stoudenmire和Schwab使用刚才描述的编码来建立一个图像分类模型，展示了张量网络的新用途。
Stoudenmire and Schwab used the encoding just described to make an image classification model, demonstrating a new use for tensor networks.

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。
Assessing fairness in binary classification models: The image classification model for smile detection mentioned above.

由于不需要训练数据，因此它也降低了建立文本分类模型所需的成本和时间。
Since no training data is required, it also brings down the cost and time it takes to build a text classification model.