Your English writing platform
Discover LudwigSuggestions(5)
Exact(7)
It is observed that models successfully predict the relation between initial concentrations to the responses.
It can be observed that models for which the PEF zeros are on (PLP and PZLP) or very close to (HOLP) the unit circle generally provide a higher frequency estimation accuracy.
We have also observed that models with a steep, but smooth, firing rate function can amplify errors to an extreme degree, which is typical for "almost ill-posed" problems.
It was observed that models based on classifier SMO, kNN and Random Forest perform better than other classifiers of WEKA.
It was observed that models satisfactorily worked only for the SA white adipose tissue and skeletal muscle.
Moreover, we observed that models fitting the histological grade (HG) as phenotype performed globally better in validation sets than models fitting survival data (SURV or TOE) suggesting that we did not succeed to catch additional information about prognostication in using survival models.
Similar(53)
By comparing with Fig. 8, we observe that models with low misfit are those with negligible initial KE.
By comparison with Fig. 8a, we observe that models with minimum misfit are the same as those with negligible initial KE.
It is observed that model B is reasonably fit for data analysis.
It is observed that model is very simple and robust yet can accurately predict the Joule Thomson effect.
Additionally, we observed that model fit was very good (χ 2/DF = 1.078; CFI = 0.999; GFI = 994; RMSEA = 0.014) for the final moderated 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