The deviation of the predictive accuracy estimated using the dataset without outliers from the simulated true predictive accuracy was used as the gold standard against which to evaluate the corresponding deviation in the predictive accuracy estimated using the same dataset with outliers.
Next, phylogenetic trees were estimated using the same datasets.
When the dates of divergence were estimated for the 3G dataset, nodes in the tree were more than twice as old as when estimated using the WG dataset.
We showed how these probabilities can be estimated using the training dataset in an effective way.
First, the parameters of the DRM are estimated using the training dataset (i.e., part of historical data).
Snow-cover chart estimated using the AMeDAS dataset (JMA) and a map of months of runoff maxima in Japan based on simulated data (Yoshimura et al. [2008]).
To assess performance of the readmission models, c-statistics assessing predictive accuracy and modified Hosmer Lemeshow goodness-of-fit tests 40, 41 were estimated, using the full dataset (Table 2).
This tendency was conspicuous for almost all lineages of acrodonts and reflected by considerably longer branches for acrodonts as compared to those for iguanids (Fig. 3). Figure 4 shows divergence times estimated using the mitogenomic dataset.
Cumulative incidence of diabetes, i.e. the 10-year risk of developing diabetes, was estimated using the panel dataset composed of people who were 30, 40, and 50 years old at their first health examination and were invited for a re-examination 10 years later.
However the classification accuracy in terms of the number of probe sets with 2 or more anomalous fold changes was estimated using the cross-normalized dataset.
