What is the translation of " CROSS-VALIDATION " in Chinese?

• 交叉验证

Examples of using Cross-validation in English and their translations into Chinese

Cross-validation is the best way to evaluate models used for prediction.
交叉验证是评估用于预测的模型的最佳方式。

We run this code two times to get training and cross-validation data.
我们运行这个代码两次以获得训练和交叉验证数据。

At present, cross-validation and further processing of data are still in progress.
目前，针对数据的交叉验证和进一步处理仍在进行中。

But you can't use that to prove your model is always as accurate as its cross-validation score, Ortiz explains.
但是你不能用它来证明你的模型总是和它的交叉验证分数一样准确，奥尔蒂斯解释道。

We use cross-validation data with precision and recall to choose best epsilon.
所以使用精确的交叉验证数据和召回选择最佳的epsilon。

Similarly, familiarity with modern prediction methods is imperative, including the ability to assess prediction performance using validation samples and cross-validation.
同样，必须熟悉现代预测方法，包括使用验证样本和交叉验证来评估预测性能的能力。

This cross-validation procedure does not waste much data as only one sample is removed from the training set:.
这种交叉验证过程不会浪费太多数据，因为只有一个样本从培训集中删除：.

Likewise, the results from BMC may be approximated by using cross-validation to select the best ensemble combination from a random sampling of possible weightings.
同样地，可以通过使用交叉验证来近似来自BMC的结果，以从可能的权重的随机采样中选择最佳的集成组合。

Cross-Validation In order to evaluate our models, we must reserve a portion of the annotated data for the test set.
交叉验证为了评估我们的模型，我们必须为测试集保留一部分已标注的数据。

A second, and equally important, advantage of using cross-validation is that it allows us to examine how widely the performance varies across different training sets.
第二，同样重要的，采用交叉验证的优势是，它可以让我们研究不同的训练集上性能变化有多大。

Cross-validation can come to rescue here, for example by using it to choose the best size of the decision tree to learn.
交叉验证可以帮助对抗过拟合，例如通过使用它来选择决策树的最佳大小来学习。

Statistics for Hackers a video tutorial by Jake Vanderplas on statistical analysis using just a few fundamental concepts including simulation, sampling, shuffling, and cross-validation.
StatisticsforHackersJakeVanderplas撰写的视频教程，使用一些基本概念进行统计分析，包括模拟、抽样、改组和交叉验证。

Nested cross-validation(do feature selection on one level, then run entire method in cross-validation on outer level).
嵌套交叉验证(在某种程度上做特征选择,然后在交叉验证外层运行整个方法).

The object works in the same way as GridSearchCV except that it defaults to Generalized Cross-Validation(GCV), an efficient form of leave-one-out cross-validation:.
该对象的工作方式与GridSearchCV相同，只是它默认为GeneralizedCross-Validation(通用交叉验证)（GCV），这是一种有效的留一交叉验证法：.

Cross-validation can help to combat overfitting, for example by using it to choose the best size of decision tree to learn.
交叉验证可以解决这个问题，例如通过它来选择要学习的决策树的最佳大小。

See Parameter estimation using grid search with cross-validation for an example of classification report usage for grid search with nested cross-validation.
参阅Parameterestimationusinggridsearchwithcross-validation例如使用gridsearchwithnestedcross-validation（嵌套交叉验证进行网格搜索）的分类报告。

Cross-Validation Selection can be summed up as:"try them all with the training set, and pick the one that works best".
交叉验证选择可以概括为：“使用训练集尝试所有选择，并选择最有效的方法”。[1].

Evaluation techniques such as cross-validation, evaluation metrics, etc are all invaluable as is simply splitting your data into test data and training data.
像交叉验证、评估指标等评估技巧都是非常宝贵的，因为它们只需将你的数据分离成测试集和训练集。

Cross-validation can help to combat overfitting, for example by using it to choose the best size of the decision tree to learn.
交叉验证可以帮助避免过拟合，例如通过交叉验证来选择决策树的最佳大小。

Cross-validation can help to combat overfitting, for example by using it to choose the best size of decision tree to learn.
交叉验证可以帮助对抗过度拟合，例如通过使用交叉验证来选择决策树的最佳尺寸来学习。

Only cross-validation strategies that assign all elements to a test set exactly once can be used(otherwise, an exception is raised).
只有交叉验证策略才能将所有元素精确地分配给测试集一次（否则引发异常）。

That is why cross-validation should always be done before over-sampling the data, just as how feature selection should be implemented.
这就是为什么在过度采样数据之前应该始终进行交叉验证，就像实现特征选择一样。

Cross-validation is a technique used to assess how the results of a statistical analysis will generalize to an independent data set.
交叉验证是一种用来评价一个统计分析的结果是否可以推广到一个独立的数据集上的技术。

Based on cross-validation results, we can see the accuracy increases until approximately 10 base estimators and then plateaus afterward.
基于交叉验证的结果，我们可以看到精确度的提升大约会在有10个基估计器时趋于稳定。

Cross-validation is a technique that is used for the assessment of how the results of statistical analysis generalize to an independent data set.
交叉验证是一种用来评价一个统计分析的结果是否可以推广到一个独立的数据集上的技术。

Cross-validation experiments showed that DNNs achieve 54.6% accuracy in correctly predicting one out of 12 therapeutic classes for each drug.
交叉验证实验表明，DNNs在正确预测每种药物的12个治疗类别中的一个中达到54.6％的准确度。

Based on cross-validation results, we can see the accuracy increases until approximately 10 base estimators and then plateaus afterward.
根据交叉验证的结果，我们可以看到准确率随着估计器的数量而增加，一直到约10个基础估计器时达到最大值，然后保持不变。

Validation or cross-validation is commonly used to assess the predictive accuracy of multiple models with varying complexity to find the most suitable model.
验证或交叉验证通常用于评估不具有复杂性的多个模型的准确性，以找到最合适的模型。

In cross-validation technique training data is divided into complimentary sub-sets and a different set of training and validation set are used for different models.
在交叉验证技术中，训练数据被分成互补子集，并且不同的训练和验证集用于不同的模型。