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When the demographic covariates were introduced, the model performance improved again (Model 3).
When phylogenetic covariates were included, weed model performance improved to 25.7%, but noxious model performance did not improve.
The model performance improved considerably when the spatial random effect was introduced (DIC for Model 2 is much smaller than for Model 1).
Second, when the GLM analyses were repeated but with tree mortality included as a potential predictor, model performance improved (explaining 42 91% of the variation in edge parameters) and tree mortality was a significant predictor for all edge variables except liana abundance (Table S2).
Values tending to unity imply that model performance improved when the variable was replaced (a noise variable).
These data indicate that the SVM model performance improved continuously during the sampling process with the discrimination of inactive compounds slightly better than that of active ones.
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It is found that model performance improves as the green roof drainage area and rainfall volume increases.
The iterative scheme is used to develop a model for the caspase function in apoptosis and it is demonstrated that model performance improves with each iteration.
When the salience of the model is decreased (for example substituting the scale model with a video clip), or when there is no need for dual representation (children are told that a "shrinking machine" transformed the playroom into the miniature model), performance improves.
Model performances improved when including also PARpotential defined as the maximal value of incident PAR under clear sky conditions in model formulations.
The uncorrelated bioactivities 0.5 and 1 datasets served to assess the models' performance on compounds displaying a dynamic range of bioactivities across the cell line panel, while the latter dataset served to evaluate whether the models' performance improves when using replicate-averaged cell line sensitivity data (Supplementary Table S11 for details).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com