Examples of using Cross-validation in English and their translations into Portuguese
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In this study, the process of cross-validation was different than the prior ones.
Key concepts like under- and over-fitting,regularization, and cross-validation.
Cross-validation studies were carried out to check model adequacy for other populations.
Ten sub-samples were used to validate the results by means of the cross-validation procedure.
The results obtained by cross-validation of equations 01M and 01F study 1 showed an accurate VO2 prediction.
The external validity of the derived equations was tested in cross-validation by applying them to group EV.
For the process of cross-validation, the PRESS method was also used, confirming the validity of the model R 0.74.
The models with the best fit were selected by cross-validation and error comparison index eci.
The optimal regularization parameter was chosen using l-curve,¿-curve and generalized cross-validation.
Monitoring nonfatal overdoses can allow cross-validation of information on drugrelated deaths.
The process is repeated 10 times andthe model with the lowest estimated error in cross-validation is used.
The calibration method- cross-validation- would not compensate for the reduction in the size of the training set.
Backtesting is a type of retrodiction, anda special type of cross-validation applied to previous time periods.
Cross-validation was carried out in 65 subjects with features similar to the group to which the model was validated.
The final fit of the model was evaluated by the estimate of general risk and cross-validation procedure.
The cross-validation procedure was applied to generate sub-samples of the analyzed data. To each sub-sample, a different tree was produced.
The exploration of parallelism occurs through the data parallelism inherent to the process of cross-validation folds.
The use of cross-validation allowed us to infer the external validity of the model. However, prospective studies to confirm this result are important.
Moreover, this was the first study the investigators had special concern with cross-validation procedures.
The methodology developed was evaluated through cross-validation technique k-fold, for the purpose of inspect the model generalization capability.
The assessment of changes in model fit was performed by Akaike information criterion AIC and expected cross-validation index ECVI.
These estimates will support a comprehensive interpretation and cross-validation of the atmospheric-based analysis of the Amazon carbon cycle.
Several procedures have been developed for selection of components,such as f approximated tests and cross-validation methods.
To verify the stability of the factor solution according to the original English version, cross-validation was performed in 2/3 of the total sample and replicated in the remaining 1/3.
The infestation randomness was high in both evaluated months and clones, due to the high populational amplitude present in these clones,which is reflected in data cross-validation.
In this case, Blumenstock used logistic regression with 10-fold cross-validation, but he could have used a variety of other statistical or machine learning approaches.
Criteria and procedures for semivariogram model fit were performed according to, considering the methods of ordinary least squares andweighted least squares and cross-validation.
Additionally, cross-validation of the measurement conducted in the Netherlands, and studies conducted in China and Taiwan were also consistent in identifying the two factors on the instrument.
Using the python programming language,it was developed routines geostatistical modeling in automated time by cross-validation supported by nonparametric statistics.
In 1996, Williford et al. checked cross-validation of non-exercise modelsin a sample of 165 women, as the cross-validation sample in the original study was small n 43.