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According to the characteristics of various data, the priority levels are adjusted to ensure the quantity of optimized centers adaptively and to keep the original accuracy.
As shown in the middle of Fig. 6, the predicted values recovered their original accuracy.
When the modified results approach the original accuracy, the improvement will fluctuate slightly around the original one.
The first checkpoint (12 SAs) has the chance to enhance the prediction accuracy by attempting a precise isolation of potential false negatives (FNs); the second checkpoint (4 SAs) proceeds with a more drastic (but more prudent) FNs removal, as much as this doesn't noticeably downgrade the original accuracy by generating too many false positives (FPs) as well.
Although the final accuracy is 68.75%, it can be considered as an improvement if compared to the original accuracy 58.81%.
Although the final accuracy is 73.85% but can be considered as an improvement if compared to the original accuracy 56.9%.
Similar(52)
In this section, we will begin with the original accuracy-based argument for Probabilism due to James M. Joyce (1998; see also Rosenkrantz 1981).
Table 1 shows the original accuracies of the models used in the development of the aggregation model.
Figure 3 shows the log-transformed accuracies on the y-axis and the corresponding original accuracies on the right hand axis.
In this case, once the time tag of each event has been appropriately shifted in ground processing, the original timing accuracy (16 microsec) can be recovered.
In this case, once the time tag of each event has been appropriately shifted, the original timing accuracy (16 s) can be recovered.
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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