Examples of using Cross-validation in English and their translations into Spanish
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For validation, a cross-validation method was used.
Cross-validation was performed in three random subsamples.
In machine learning,this is typically done by cross-validation.
Added cross-validation between date fields and specified dates(cpCompareDate).
But I have discovered WEKA as an alternative for cross-validation.
For more information,see Cross-Validation(Analysis Services- Data Mining).
One solution to this problem is a procedure called cross-validation.
This study shows that cross-validation is unable to select the best initialization.
Key concepts like under- and over-fitting,regularization, and cross-validation.
In standard$k$-fold cross-validation, we partition the data into$k$ subsets, called folds.
The predicted R2 values on the plot are calculated with cross-validation.
Cross-validation can be used to compare the performances of different predictive modeling procedures.
If the prediction method is expensive to train, cross-validation can be very slow since the training must be carried out repeatedly.
Cross-validation is the process of assessing how the results of a statistical analysis will generalize to an independent data set.
Many filters provide a feature ranking rather than an explicit best feature subset, andthe cut off point in the ranking is chosen via cross-validation.
The evaluation with 10-fold cross-validation on the corpus Ancora, achieved an F1 of 0.83 for the argument position and 0.76 for the thematic role.
The collocation of column- andprofile-measuring instruments is especially important for cross-validation, and for separation of tropospheric and stratospheric signals.
Cross-validation only yields meaningful results if the validation set and training set are drawn from the same population and only if human biases are controlled.
The Working Group recognised that either approach(ii)or(iii) could provide an objective and independent cross-validation of the identification of priority areas.
Most forms of cross-validation are straightforward to implement as long as an implementation of the prediction method being studied is available.
Quality control of the otolith ageing readings,including validation of ageing and cross-validation between laboratories, will be of great importance to ensure consistency in ageing Dissostichus spp.
Cross-validation is used for the insurance parameters' optimization in order to address the risk of over-fitting, which leads to an overestimation of insurance impacts.
However- contrary to the aforementioned internal and external cross-validation-, these formulae definitely proved unusable at least for adults and are presented here illustratively only.
If cross-validation is used to decide which features to use, an inner cross-validation to carry out the feature selection on every training set must be performed.
The Working Group noted that these age data, including readings of the reference set, should be provided to the Secretariat, and reported, along with sampling methods,ageing methodology and progress on cross-validation, to WG-SAM-18 for evaluation and hence potential inclusion in analyses for WG-FSA-18 for SSRUs 882C-H.
Internal and external cross-validation of the prediction formulas showed that they gave valid estimates of body fat in males and females at all ages.
The first is to use cross-validation and similar techniques to check for the presence of over-training and optimally select hyperparameters to minimize the generalization error.
The goal of cross-validation is to estimate the expected level of fit of a model to a data set that is independent of the data that were used to train the model.
An extreme example of accelerating cross-validation occurs in linear regression, where the results of cross-validation have a closed-form expression known as the prediction residual error sum of squares PRESS.
In some cases such as least squares andkernel regression, cross-validation can be sped up significantly by pre-computing certain values that are needed repeatedly in the training, or by using fast"updating rules" such as the Sherman-Morrison formula.