Suggestions(5)
Exact(9)
It is found that the proposed macromolecular model performs with both accuracy and efficiency, and is superior to the two simulation regimes in atomic scale and continuum level.
Validation of regional detailed landscape dynamics shows the model performs with fidelity with an average R2 value of 0.74 for 87 comparisons and an average root mean square error of 10.8 tC ha−1.
Amino acid composition-based model performs with sensitivity of 11.72%, specificity of 89%, and accuracy of 43.17%.
The amino acid composition-based model performs with sensitivity of 0%, specificity of 94.49%, and accuracy of 38.01%.
We will now examine how the model performs with a real data set that contains childhood amnesia, a reminiscence bump, and an increased recall of recent events.
Then if necessary, we can broaden the scope of this definition in various ways and see how the predictive model performs with different definitions.
Similar(51)
Each model performed with high accuracy and was incorporated into an ensemble model, which performed with the highest overall accuracy of all the models.
However, the major analytical tool employed was the Linear Programming mathematical model performed with the Lindo 7.0 computer software.
Similarly on the independent dataset, our model performed with sensitivity values up to 84%.
The predictive model performed with 100% sensitivity and specificity in the training set.
The model performs well with individual stands and tree data samples in the boreal and tropical region as well.
More suggestions(1)
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