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Silhouette quality and information correctness: Our dataset has relatively high-quality silhouette images because we manually checked each silhouette not only to ensure image quality, but also to exclude variations in walking conditions to enable a pure investigation of gait-based age estimation.
Accuracy refers to the correctness of the dataset when compared to a reference dataset.
For example, data cleaning which aims at improving the accuracy may result in lower dataset correctness due to the abnormality of repaired data, and finally, the correct cleaning may have to be repeated.
The correctness indicator of dataset D is defined as follows: {q}_a=sum limits_{i=1}^nsum limits_{t=1}^{v_i}{f}_aleft({mathrm{val}}_tright)/left(Ntimes sum limits_{i=1}^n{v}_iright). (12).
This prediction is then used to validate the model by testing its correctness against an unknown dataset.
The experimental results from remote visualization of large-scale scientific datasets justify the correctness of our theoretical analysis and illustrate the superior performances of the proposed method.
> -wrap-foot> The precision of overlap alignments (P, in percentages) and the number of overlap alignments that lead to (correct) extensions (E, absolute values) as a measure of sensitivity (correctness is only known for simulated datasets) are shown.
To evaluate the correctness of strand specificity of this dataset, total reads were mapped to the human genome (hg19) using PalMapper [ 49] (Additional file 2: Table S2, Additional file 3: Supplementary methods).
The comparison of the indirect and direct ISQ datasets enabled to evaluate the correctness of the laboratory procedure by using the algorithm proposed by Osstell.
As we can see in Fig. 4, in the case that the data volume of each node changes from 100 to 200, the metric of the time-dependent indicator decreases, the dataset completeness increases slightly, and the correctness indicator increases.
We employ the results obtained when progressively pooling more breast cancer datasets, to provide insight into the correctness of the five explanations, and identify sample size as the most likely cause of limited signature overlap.
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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