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Figure 4 Accuracy scores in each simulation.
On the other hand, the BFIPS ELM is found to consistently reach high accuracy scores while being considerably faster.
As a result, it is likely that Pre-diagnosis accuracy scores understate the technique's true capacity.
Table 6 shows average accuracy scores across different question types and user types.
Additionally, naive accuracy scores are opaque to the specific strengths and weaknesses of a binary classifier.
Fig. 4 Mean translation accuracy scores (+SE) as a function of biology background and synapomorphy condition.
This form of control was very effective, as informants stressed the importance of maintaining a high average rating and good accuracy scores.
Also, the accuracy scores of the AS and EE groups were higher than those of the C group.
As shown in Table 3, varying the group size from 2 to 5 did not change the recognition accuracy scores.
Figure 4 shows that the accuracy score of simulation 1 was higher than accuracy scores of the other simulations.
Non-parametric tests were run for all the accuracy scores because our variables did not show normality or homogeneity.
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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