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We will start the model performance comparison with general observations for all results, then continue by evaluating the benefit of taking the degradation type into account.
A traditional LSMM with fixed endmembers and the Multiple Endmember Spectral Mixture Analysis (MESMA) model were also used for model performance comparison.
A model performance comparison also shows that non-linear stochastic models (SVR or RF with input selection through PMI) do not always outperform linear models (MLR with inputs screen by linear correlation).
Our results show that proper Bcd gradient profiles, as judged by the three criteria (see Fig. S3 legend for values), can be obtained when the mitotic process is specifically incorporated into our model without requiring further parameter adjustments (Fig. S3; also see Fig. S2 for a model performance comparison).
Subsequently, the complete training dataset have been divided into N parts and then optimal model parameters have been selected from grid search based on model performance comparison.
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For model performance comparisons, each stand ideotype combination (stand type × Dq × density) was grown in the I/C model for 25 years with 25 replicates.
Table 9 Models performance comparison, "Cod".
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).
A model based performance comparison of the conventional and proposed control structure is presented.
The MoG models are widely used as base model for performance comparisons of new models.
In this study, we apply three common criteria for model performance and comparisons.
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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