Sentence examples for predictive diversity from inspiring English sources

It, somewhat densely, goes: "The squared error of the collective prediction equals the average squared error minus the predictive diversity".

Hard to parse, yes, but the bit he emphasizes to me is that last part: minus the predictive diversity.

Under WAG, the predictive biochemical diversity is significantly greater, of about 3.45 (p < 0.001), which means that WAG is strongly rejected for its inability to account for the site-specific biochemical specificities observed in real data, at least in the present case.

Finally, in order to quantify the immunological predictive performance of Diversity and Evenness profiles, we applied SVM analysis and feature selection (Additional file 3) to dataset 1 and 2 profiles (Table  1) since they showed immunological status-dependent profile differences by unsupervised hierarchical clustering (Figs.  4 and 5).

In order to test our in silico-based prediction that predictive performance depends heavily on antibody diversity when only taking into account the peptide library's amino acid composition, we compared the predictive performance of the 58 BALB/c mouse serum samples (antibody diversity nAb >> 1) with that of the 13 human monoclonal IgG antibodies (antibody diversity nAb = 1).

Establishing such predictive relationships of genetic diversity for conferring physiological versatility and ecological resilience is particularly critical for foundation species, because they exert an essential influence on biodiversity and energy flow across multiple trophic levels2,4,13.

However, the strength of these associations is low (Cramer's V values ⩽0.172), suggesting a poor predictive efficiency of landscape diversity units for natural community types.

The algorithm also increases diversity and predictive power by modifying the tree construction method.

Data of Schebendach and Colleagues [ 15] suggest that diet diversity is predictive of weight maintenance in AN patients.

Ensembles achieve high predictive performance, benefiting from the diversity of the individual models and outperforming them.

The role of tree diversity as a predictive factor of crown defoliation and overall conditions, may differ in relation to the target species, the kind of mixture and the ecological features at each site, hence to the environmental context (Ratcliffe et al. 2017).