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The multiband source/filter model achieves a flatter frequency response for the residual signals.
Results obtained through simulation show that the model achieves a high degree of accuracy.
These results indicate that the proposed model achieves a satisfactory balance between efficiency and efficacy.
Our model achieves a (R^{2}=0.35) on the test set with mean absolute error of 9.7 years.
As results, the fifth-order model achieves a periodic behavior to set up the engine with the obtained design parameters.
The ROBIN model achieves a good recommendation effect by propagating the relationship information between users and resources.
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Thus, the granular model achieves an important step in predicting hot tearing formation.
With the implementation of the SMO algorithm, the classification model achieves an outstanding performance (91.3% of instances correctly classified).
The model achieves an average AUC PR 0.85 and AUC ROC 0.96, with a high sensitivity 0.91 and specificity 0.96.
(iii) Nutrient utilization predictions under 431 different media conditions, for which the model achieves an overall accuracy of 80.7%.
When the merg_thred is 0.8, the Regression model achieves an F-measure of 0.5910 which is significantly better than that of the equal weight model (0.4366).
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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