Your English writing platform
Discover LudwigExact(5)
The methodology presented in this paper should, in the future, allow the consistency of the free volume model to be assessed.
This optically trackable mechanophore (optically active through absorption and fluorescence when triggered) allows the model to be assessed in comparison to observed experimental behavior.
This allows the model to be assessed between the extremities of low and high demand.
The first allows the assessment of the discriminatory power of a model, whereas the second is also required to allow the calibration of the model to be assessed.
This partitioning of samples is important as it allows the generalisability of the model to be assessed, and hence guards against over-fitting.
Similar(55)
Confusion metrics are also presented to allow the validity of these models to be assessed.
We take degree 20 as an optimistic prediction for the maximum spatial resolution of the Swarm models, to be assessed in the next section.
Additionally, models have to be assessed for their predictive power and their robustness against perturbations.
Propagation of uncertainty in parameter estimation to model estimates was assessed qualitatively.
Contribution of variables to the model was assessed by comparing the –2loglikelihood of the models with and without the covariate.
Fit to the model was assessed initially within diagnosis and then in the pooled data.
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