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On news articles, model performance dropped significantly, leading to the conclusion that sentence position was most responsible for model performance on news documents.
The multivariate data set was then used for model performance analysis and parameter fitting.
The months of January, April, July and October in 2002 were taken as target periods for model performance evaluation.
Exchange fluxes that are critical for model performance have been identified for metabolites of mouse tumor necrosis factor, histidine, valine and lysine, as well as biomass.
A traditional LSMM with fixed endmembers and the Multiple Endmember Spectral Mixture Analysis (MESMA) model were also used for model performance comparison.
A statistical test highlighted the most influential explanatory variables for model performance evolution at different time steps, including flow auto-correlation, flood and storm duration, flood hydrograph peakedness, rainfall runoff lag time and precipitation temporal variability.
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For model performances, the models will be evaluated in terms of out-of-sample forecasting statistics.
The Simulation Environment for Modeling Performance (SEMPER) project has demonstrated such an automated mapping for buildings with orthogonal geometries.
These ranges were adopted in this study for interpretation of model performance.
All these group contribution models present an acceptably accurate prediction with only a single set of chemical substructures (for models performances comparison, see Pavan and Worth, 2008; Raymond et al., 2001; Rorije et al., 1999; Rücker and Kümmerer, 2012).
Proper benchmarks are important for the interpretation of model performance [15].
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com