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Rows with bolded text have the best-fit model combination for each dataset as assessed by Bayes factors using marginal likelihoods estimated from BEAST using path and stepping-stone sampling.
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Hence, dozens of model combinations for predicting plant flowering or sprouting by using the thermal time model are available.
The evaluation method allows for the quantification of the prediction quality and, thus, to detect optimal as well as efficient model combinations for reliable predictions.
Table 3 Type I error (diagonals) and Power (off-diagonals) of item-fit residuals for different model combinations for LTT math age 9 Item-fit residual Data-generating model Fitted model 1PL 2PL 3PL 1PL 9 65 66 2PL 1PL27 3PL 20.
The most accurate GDA and SVM model combinations for discriminating between TB cases and HHCs are shown on additional files 3 and 4 respectively.
The model combination of drivers for each scenario is as follows: driver F1 [small business or large business ] plus driver F2 [integrated economy or disconnected economy ] plus driver F3 [embracing connectivity or defensive towards connectivity ].
So, this model combination is considered for the experimental study.
This global model combination procedure worked well for easy targets where many similar models were generated.
The top 50% of the models generated by MULTICOM-CMFR and MULTICOM-RANK in addition to all the models generated by MULTICOM-CLUSTER were selected for model combination and refinement.
Table 1 shows the estimated statistical and evolutionary parameters for each model combination we investigated.
For the model combination and refinement step of our pipeline, we used a novel global local model combination algorithm.
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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