Your English writing platform
Discover LudwigSuggestions(2)
Exact(8)
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.
It is readily observed that model D is consistently furthest away from the other models in terms of i, j R; furthermore the RMS vector field differences between the other candidates and the mean are reduced when D is removed from the calculation of the mean.
It was observed that model based on Random forest algorithm using 100 trees performed best among various classifiers and achieved accuracy 84.95% with MCC 0.49 (Table 2).
Importantly, we observed that model predictions highly concur between algorithms but are highly discordant between data types, which seems to be dependent on the censoring rate of the dataset.
Similar(52)
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 models successfully predict the relation between initial concentrations to the responses.
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 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.
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