In the case of model validation, experimental and predicted property values, root-mean-square error of cross-validation (RMSEcv) and correlation coefficient of cross-validation (Rcv) will be reported.
as in the case of feasibility validation were used in the particular set of trials.
In the case of internal validation measures, this should be possible even without accessing the ground truth.
Predictive discriminant analysis using these variables permitted 100% success in the classification according to cultivars and ps (68% in the case of cross validation).
In the case of the validation of the method we use 10,000 photons in the MCML simulation and 30 generations in the genetic algorithm.
(ii) In the case of the validation in a genomewide context it is very hard to estimate the number of TNs correctly because most prediction programs do not classify each site (nucleotide) in the genome as being a promoter or not, but only make predictions of core promoter regions.
For each datapoint in either the test set or in the hold-out fold in the case of cross-validation, we calculated the standard deviation of the predictions generated with each model conforming the model ensemble.
Therefore, in order to evaluate the BPB-PPMS in the case of cross-validation circumstance, both Naïve Bayes classifier [14] and simple SVMs classifier s[11] without Bi-profile Bayes feature extraction were developed to identify potential protein methylation sites on the same training datasets as that of BPB-PPMS.
In the case of a conventional validation, all the elements would be validated again independently of the modifications made on the document.
The overall mean values and the mean values by gender (when these are given) are either comparable to those of this study, or slightly higher, as in the case of the German validation study [ 5] for the depression score; in the latter case, the population was older than the one in our study, which accounts for the differences.
We evaluated the models generated from the Calu-3 with different numbers of clusters 5-1200), asd as in the case of our cross-validation, found that the model containing ten clusters had the best cross-prediction performance with a correlation of 0.39.
