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This table shows that the current approach using random forest models performs on par or better than previously published models and hence demonstrates reproducibility of published results.
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To summarize, GP models perform on par with SVM and outperform Family QSAR and PLS on the three datasets.
Excluding this example the fingerprint models perform, on average, 14 16% better with large variations (2 51%) between datasets and cost levels.
The results of the multivariate models performed on IBHQ scores at discharge are presented in the Tables 4 and 5, for the core and optional scores respectively.
The residuals v. predicted values for all mixed models performed on the response to level of substitution are presented in Figure 4.
We evaluated how the site-heterogeneous CAT and CATGTR models perform on mitochondrial protein amino acid dataset (AliMG) compared to the reference site-homogeneous model GTR under BI by using cross-validation.
Among all children with clinically significant bronchiolitis, a subgroup analysis based on the type of healthcare visit (outpatient clinic visit, emergency department visit, and hospitalization) could evaluate how models perform on different subgroups of children.
Also, the AR log-transformed model performs on average more than 13% better than the AR non-linear model.
The results show that the proposed model performs on an average 25% better than the other models.
Beyond accuracy on the entire dataset, it is important to consider how well the model performs on the users it is the most or least confident about.
The non-linear AR model performs on average 39% better than the nonlinear model (i.e. the average reduction in the RMSPE of the models for the 16 countries that have been considered is 39%), while the autoregressive log-transformed model performs on average 49% better than the log-transformed model.
Write better and faster with AI suggestions while staying true to your unique style.
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