The phrase "across validation" is not correct in English.
Did you mean "cross-validation"? You can use "cross-validation" in the context of statistical analysis or machine learning to refer to a technique for assessing how the results of a statistical analysis will generalize to an independent data set.
Example: "To ensure the model's accuracy, we performed cross-validation on the training data."
Alternatives: "model validation" or "data validation".
aCross validation is done only for those cases in the analysis.
The total number of preliminary results varies noticeably across validation groups (Table 4).
In addition to the variability in the number of results, it is important to note the general lack of consistent results across validation groups.
The highest gain for a binomial phenotype was observed with heritabilities of 0.10 or 0.50, whereas the highest gain for four category ordinal phenotypes was found with a heritability of 0.25 across validation populations.
Two importance measures are shown for LR; the mean classification accuracy of random five-feature subsets and the mean coefficient magnitude across validation datasets divided by the standard deviation.
The gain in accuracy of GEBV was about 85 to 230% for heritabilities of 0.10, 170 to 210% for heritabilities of 0.25 and 65 to 75% for a heritability of 0.50 across validation populations and analytical models (Table 2).
aCross-validation by repeated random sub-sampling of 50% of the full cohort data for derivation and validation datasets.
Because we are using the same set of cases and controls in all the validation groups, a high degree of consistency of results across validations analyses would be expected a priori.
No independent population was available, however, to do an across-population validation in this study.
Across both gene and disease entities and across all validation sets, an entity that is highly annotated is substantially more likely to co-occur with another entity in future publications.
The intra-day and inter-day relative standard deviations across three validation runs over the entire concentration range were less than 9.8%%.
