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The multivariate data set was then used for model performance analysis and parameter fitting.
A traditional LSMM with fixed endmembers and the Multiple Endmember Spectral Mixture Analysis (MESMA) model were also used for model performance comparison.
We first introduce extensions to classical WGP models to accommodate heteroskedasticity, including a delineation of the criteria used for model performance.
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As the sample had already been used for model selection, this estimate of model performance is overly optimistic.
Given the comparable methods in classifier construction, we believe the biological incomparability of data sources used for model building led to the poor performance of gene set LM in our study.
This approach can be used for modelling and analyzing human performance in computerized 3D platforms during design of manufacturing systems.
This study aims at determining the effects of the method used for modeling competition on the performance and individual architecture of two species.
There are many criteria used for evaluating model performance, we consider several generalization measurements which is more reliable to assess multiclass problems [ 23].
Predictions of edge weights for all other pairs of genes ((21341 2 ) − (8416 2 ) = 192298150 pairs) are then made using random forest models trained on these reference networks, and the (8416 2 ) OOB edge scores for the training edges are used for assessing model performance (described below).
Data from these stations are used for model-data comparison to evaluate the model performance.
In the present paper, the adaptive neural fuzzy inference system (ANFIS) was used for modeling of magnetic chitosan adsorption performance for the methyl orange removal.
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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