Your English writing platform
Discover LudwigSuggestions(5)
Exact(24)
The models were robust, predictive and good in statistical significance, over 70% of the experimental variance was explained.
The leave-N-out crossvalidation and y-randomization tests showed that the models were robust and free from chance correlation.
All models were robust to internal validation using bootstrapping and when compared to an independent empirical dataset of parasitism rates of a host on 12 sites monitored for up to 8 years.
Thus, it can be inferred that the PSO-SVM models were robust and satisfactory, and could provide some feasible and effective information to design and synthesis of highly potent HCV NS5B polymerase inhibitors.
The 3D-QSAR models were robust and had good predictive abilities with cross-validation correlation coefficients (q2) of 0.858 0.992 (>0.5), correlation coefficients (r2) of 0.966 1.000 (>0.9), and standard errors of prediction (SEP) of 0.004 0.159.
Knowing that models were robust, we proceeded to investigate their relative regression coefficients.
Similar(36)
The results of bootstrapping analyses also confirmed that the generated models are robust and reliable.
These mental models are robust to demographic factors like gender and web expertise.
More specifically, our models are robust against covariate imbalance on the predictors included in the entropy balancing algorithm but are not necessarily robust against omitted variable bias.
These models are robust in mimicking various aspects of cell population, but fail to examine the effects of cell deformation and morphology on pattern formation and growth processes.
It is unclear whether published models are robust against these influences.
More suggestions(15)
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