交叉验证 英语是什么意思 - 英语翻译

• cross-validation
• cross validation

在 中文 中使用 交叉验证 的示例及其翻译为 英语

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

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

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）。
Only cross-validation strategies that assign all elements to a test set exactly once can be used(otherwise, an exception is raised).

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。
Validation or cross-validation is commonly used to assess the predictive accuracy of multiple models with varying complexity to find the most suitable model.

你可能要使用n-交叉验证，在6.3节中讨论的，以提高评估的准确性。
(You might use n-fold cross validation, discussed in 6.3, to improve the accuracy of the evaluations.).

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。
Cross-validation experiments showed that DNNs achieve 54.6% accuracy in correctly predicting one out of 12 therapeutic classes for each drug.

交叉验证迭代器也可用于使用GridSearch直接执行模型选择以获得模型的最佳超参数。
Cross validation iterators can also be used to directly perform model selection using Grid Search for the optimal hyperparameters of the model.

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。
Cross-validation can help to combat overfitting, for example by using it to choose the best size of decision tree to learn.

交叉验证也可用于其他有监督学习问题，但无监督学习问题则要采用另外一套评价方法。
Cross validation is used with other supervised learning problems besides classification, but, as you would expect, unsupervised learning problems need to be evaluated differently.

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。
Cross-Validation In order to evaluate our models, we must reserve a portion of the annotated data for the test set.

一些交叉验证迭代器，比如KFold，有一个内建的在划分数据前进行数据索引打散的选项。
Some cross validation iterators, such as KFold, have an inbuilt option to shuffle the data indices before splitting them.

一些交叉验证迭代器，例如KFold，具有内置的选项，以便在分割数据索引之前混洗数据索引。
Some cross validation iterators, such as KFold, have an inbuilt option to shuffle the data indices before splitting them.

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。
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.

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。
Cross-validation can help to combat overfitting, for example by using it to choose the best size of decision tree to learn.

另一方面，交叉验证是验证模型性能的一种技术，它是通过将训练数据分成k个部分来完成的。
On the other hand, cross validation is a technique for validating the model performance, and it's done by split the training data into k parts.

作为一般规则，大多数作者和经验证据表明，5-folds或者10-folds交叉验证应该优于LOO。
As a general rule, most authors, and empirical evidence, suggest that 5- or 10- fold cross validation should be preferred to LOO.

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 the decision tree to learn.

可普遍化的模型是一种能够对新输入数据做出准确反应的模型，但交叉验证无法证明这一点。
A generalizable model is one that reacts in an accurate way to new incoming data but cross validation can never prove that.”.

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 is a technique used to assess how the results of a statistical analysis will generalize to an independent data set.

在这两种方式中，假设不是太大，而且LOO在计算上比交叉验证更昂贵。
In both ways, assuming is not too large and, LOO is more computationally expensive than-fold cross validation.

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 is a technique that is used for the assessment of how the results of statistical analysis generalize to an independent data set.

买家就完全不会有信任问题，因为链上的信息都是交叉验证，很难造假。
The buyers will not have trust issues, because the chain of information is cross validation, it is difficult to fake.

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。
Cross-validation can come to rescue here, for example by using it to choose the best size of the decision tree to learn.

研究人员测量了五种代谢物的通路，准确预测了VABS，交叉验证后R2为0.45。
The researchers measured five metabolites of the pathways, which accurately predicted the Vineland score with an R2 of 0.45 after cross validation.

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。
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.

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。
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.

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。
Evaluation techniques such as cross-validation, evaluation metrics, etc are all invaluable as is simply splitting your data into test data and training data.

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].
Cross-Validation Selection can be summed up as:"try them all with the training set, and pick the one that works best".

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。
That is why cross-validation should always be done before over-sampling the data, just as how feature selection should be implemented.

WindowsServer2003支持多级CA层次结构和交叉验证信任网络，包括脱机和联机CA。
Windows Server 2003 supports multiple levels of a CA hierarchy and cross-certified trust network, including offline and online CAs.