Examples of using Cross-validation in English and their translations into Portuguese
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robust regression with bootstrap and cross-validation to verify the efficiency of the energy balance closure in the amazon ecosystem.
and performed cross-validation.
false positive rate, cross-validation, and ROC and AUC curves.
were selected as the basis for interpolation and ten to cross-validation, with eight stations belonging to the company fibria
a model cross-validation was carried out to compare the indices observed in the sample with another independent sample from the same population.
The first is to use cross-validation and similar techniques to check for the presence of over-training
The results were tested through cross-validation and show that it is possible to evaluate the maturity through a multilinear regression of a set of micro-raman spectral parameters obtained in translucent phytoaclases in palinable slabs,
Cross-validation of May and November data demonstrated the discrepancy between estimated
The first is to use cross-validation and similar techniques to check for the presence of overtraining
was evaluated by measuring the area under the curve(auc) obtained by cross-validation(10%) and by a set of independent test data 30.
Group 2: cross-validation- with 56 men
Phonated segments from a telephonic database of 100 male Spanish native speakers are combined in a 10-fold cross-validation task to produce the set of quality measurements outlined in the paper.
the parsimony of the models was evaluated by the modified expected cross-validation index(MECVI), which reflects the theoretical adjustment of the model in other similar samples,
We also used the cross-validation technique, widely applied to predictive models, used to measure performance and progress in the model learning, applying a 10-fold cross-validation, considered a relevant value to obtain precise measurements,
subjects in the sample, in both validation and cross-validation.
Achieving higher sensitivity and the cross-validation of these algorithms on independent samples remain tasks for future research.
The predictive ability of the models was assessed using the area under receiver operating characteristic curve(auc) and 10-fold cross-validation.
The results of cross-validation showed that ordinary kriging
were randomly divided into a validation sample(vs) and a cross-validation sample cs.
In this study, the process of cross-validation was different than the prior ones.