For example, Srijith et al. proposed a leave-one-out Gaussian process ordinal regression method, which enables model selection based on the leave-one-out cross-validation technique [22].
To overcome such a deficiency, we propose a class of designs based on the leave-one-out good lattice point method, whose columns can be divided into two groups, such that any two columns are column-orthogonal when they are from different groups and nearly column-orthogonal when they are in the same group.
HGBI was demonstrated to perform better than NBI and BLM in terms of AUC and the 'top 1'% of the predictions based on the leave-one-out-cross-validation (LOOCV).
In comparison, ModelND correctly predicts the homologous interfaces in 98.1%, while ModelNDNN does so in 75.0% (based on the leave-one-out cross-validation results for homologous interfaces).
In addition, we performed cross-validation analysis based on the "leave-one-out" classification method.
Sensitivity analysis was performed for the primary outcome based on the leave-one-out approach.
The optimal number of latent factors, which were required to build a PLS-DA model for each bootstrap sample (selected with replacement from the model set), was selected based on the leave-one-out cross-validation procedure.
A graph of the distribution of errors in the O3 concentration estimates generated by each model (i.e., the difference between estimated and observed values) based on the leave-one-out analysis also demonstrated that the BME-LUR was the more accurate model.
Overall, the eight outlier loci correctly self-assigned 92.0% of all individuals to ecotype based on the leave-one-out test implemented in oncor (Kalinowski et al. 2007), while the neutral eight and neutral 44 loci data sets correctly assigned 59.1% and 71.8%, respectively (data not shown).
By analyzing thousands of photographs of a forest canopy less than 40 miles outside London, the researchers were able to estimate carbon uptake over a two-year period based on the leaves' hues.
The forest hosts some of the highest densities of primates in the world, and, based on the leaves now available, models predict the populations of leaf-eating primates may decline by 31% in the coming years.
