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The cross validation option was selected in which the training stops when the cross validation error begins to increase.
We used the generalized cross validation option to assign df to response curves depicting daily changes in the distance moved by elk between successive locations.
Finally, we used the cross validation option of the C5.0 node.
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The best ancestry estimates were obtained by using the cross-validation option implemented by ADMIXTURE.
Models were run in the default settings but with 10 replicates under the cross-validation option, and with response curves and jackknife settings enabled.
First, following Behar et al. (2010), we used kernelUD from the adehabitatHR package (Calenge 2006) in R to estimate the utilization distribution of the MDS plot by HGDP-CEPH individuals from each geographic region, and we plotted the reported contour containing 92% of the distribution, as smoothed using the least-square cross-validation option.
Statistical analyses were performed in R. In the scatterplot comparing He in humans and chimpanzees, kernelUD from the adehabitatHR package [ 133] was used to estimate the "utilization distribution" of the scatterplot by microsatellites from each group; the contour containing 92% of the distribution, smoothed using the least-square cross-validation option, was subsequently plotted.
Datasets including only these intersecting proteins were analyzed using the web-based tool 'PanelComposer' (Jeong et al, 2012) employing logistic regression to compare the classification power of single or different combinations of proteins, where leave-one-out method was selected as cross-validation option.
Extensions such as parameter optimization, feature selection, enhanced cross-validation (CV) options, the one-versus-all training scheme, and report generation were implemented in a C library on top of LIBSVM.
The option "-c" is optimized with 10-fold cross validation, as introduced above.
However, when lacking such independent sets, the users can also use the option -cv in AsmVar to invoke the cross validation module, which uses the training set to assess the error rate.
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