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Table 1 The top five settings with the highest mean accuracy over all the classifiers.
The rotation invariant Gabor filter bank achieved a mean accuracy over rotation tests of 90.4 %, Haralick features 75.3 % and MR8 56.6%%.
There were 1,770 such attempts at matching (the number of unique word pairs that can be left out of 60 words), and the model was assessed in terms of its mean accuracy over these attempts within each participant.
For example, for the within-participant identification of individual items, the mean accuracy (over participants) decreases by 2.7% (from 0.78) when a fixed size of 120 voxels is used for all participants.
For a given study and factor combination, the mean accuracy over the outer cross validation was established and compared to the IR (see Figure 6).
Classification accuracy was calculated for each leave-out pair, and an accuracy measure was calculated for each individual object as the mean accuracy over all leave-out pairs that contained the object.
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We mean accuracy from actual passes.
Values mean accuracy rate (over a total of 28 questions).
Identification accuracy ranged from 36.67% (analyst 1 in round one) to 90% (analyst 9 in round two) (Table 1, Fig. 2A), and mean accuracy averaged over the two identification rounds ranged from 46.67% to 87.5% (Table 1, Fig. 2B).
The overall accuracies are the mean accuracies over all raters for all songs in the dataset.
The reported values are the mean accuracies over the 5000 aligned fragments (lengths 30, 60 and 120; 100 replicates, 50 fragments per sequence) or over the 100 full-length sequences for each target species paralogue.
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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