Sentence examples for using the cross validation from inspiring English sources

The predictions were validated with 100 replications using the cross validation method described by Crossa et al. (2010).

The added parameters and the appropriate scale parameter for continuous wavelet transformation (CWT) are calculated using the cross validation method (CVM) and the minimum Shannon entropy method.

The remaining 180 examples are used to tune and select classifiers using the cross validation strategy.

Two hundred fifty datasets have been randomly generated and split into training and checking datasets using the cross validation approach (http://kelley.iu.edu/IIB/ProgramsandIntitiatives/YELP/page45835.html).

For every individual model, 250 datasets have been split into training and checking datasets using the cross validation approach (http://kelley.iu.edu/IIB/ProgramsandIntitiatives/YELP/page45835.html).

This dependence is illustrated for the maximum number of 100 features that all fall below the selection threshold of 0.2 and are ranked based on the least recognition error using the cross validation test.

Finally, we used the cross validation option of the C5.0 node.

Thus, we used the cross validation testing datasets for ANN and CLR generalization comparison.

Results were cross-validated splitting the total sample randomly and using the cross-validation index.

In the hapFLK analysis, the number of haplotype clusters was set to 20 using the cross-validation procedure assumed in the fastPHASE model19 and the hapFLK statistic was calculated as the average of 30 expectation maximization iterations.

Our results also indicate that using the cross-validation technique to evaluate the performance of data reconstruction methods can lead to misleading conclusions about their relative performance.