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To better assess predictive ability and model performance, we performed 1000 independent splits of the data into training (70%) and test (30%) samples.
To further confirm the relationship between the number of features captured in the model and the model performance, we performed another experiment in which we gradually decreased feature number "2 Stars UP PPII data in the SVM prediction model by lowering feature selection thresholds.
To establish a baseline for comparing model performance, we fit a null model with no predictor variables.
To ensure consistency of model performance, we also employed the partial AUC metric (Lobo et al. 2008, Peterson et al. 2008).
Moreover, by comparing the impacts of evapotranspiration simulation and runoff generation simulation on model performance, we find that evapotranspiration simulation has limited influence on the model performance.
In order to test how the correlation between the variables affects the model performance we will use Principal Component Analysis (PCA) to remove linear correlations and compare the results.
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In order to assess different models performance, we not only designed some new simulation studies, but we also made use of the former simulations recommended by [21].
To better understand our predictive models' performance, we used two evaluation methods simultaneously.
We used sets 1 9 to assess model performance, whereas we reserved set 10 to evaluate model over-fitting.
To improve model performance, here we tested an approach with the committee machine.
We describe a series of exercises involved in adapting a computer-based simulation model of HIV disease to the Women's Interagency HIV Study (WIHS) cohort and assess model performance as we re-parameterized the model to address policy questions in the U.S. relevant to HIV-infected women using data from the WIHS.
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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