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The regression equation with the highest accuracy was indicated by the lowest standard error of estimate (SEE).
The highest accuracy was found when the voxel method was used for pruned biomass prediction (R2 = 0.731).
The highest accuracy was found for a cutoff of 20 pg/mL (77.0%), although imprecise to determine the absence or presence of OTS.
The highest accuracy was achieved by the decision tree model using CHAID algorithm (94.01%) comparing with QUEST algorithms (90.37%) and frequency ratio model (86.70%).
The highest accuracy was achieved not by the probe with the same diameter as that of the tumor, but by the probe with twice the diameter of that of the tumor.
The results with the highest average accuracy and fastest training time are highlighted in bold The highest accuracy was achieved using log-256 embedding, followed by log-70 embedding.
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It is clear that the highest accuracy is observed in tracing experimental data using new correlation.
Performance of the classifier with highest accuracy is shown in italics for each feature.
The highest accuracy is obtained for solutions containing polystyrenes (RMSE = 0.212) or polyacrylates (RMSE = 0.308).
The value of k that yielded the highest accuracy is selected for use in our experiments.
For feature selection, the algorithm candidate that yields the highest accuracy is used in the subsequent experiments.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com