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In the multi-label multi-class classification scenario, a class prediction made by a multi-label multi-class model (MMM) can be fully correct, partially correct or fully wrong.
Hence, the evaluation schemes for MMM are more complicated than those employed for evaluating the generalisation ability of a single-label multi-class model (SMM), whose prediction can only be fully correct or fully wrong.
Some of the equations are found to be fully correct, indeed superior to those derived here, while others are found to be deficient, because of assumptions made or inconsistencies in the derivations; for pipes with both ends fixed, the equations given in this paper are considered to be the most complete and correct.
Therefore, during a familiarization with the task outside the scanner, participants were instructed to accept a "misspelling" as sounding like the intended word even when they (wrongly) felt that the pronunciation may not be fully correct.
Similar(56)
He added that the debt crisis had revealed weaknesses that will not be "fully corrected, in our opinion, by what is presently envisaged".
He added that the debt crisis had revealed weaknesses that would not be "fully corrected, in our opinion, by what is presently envisaged".
The shortcomings of Aristotelian physics would not be fully corrected until the 17th century work of Galileo Galilei, who was influenced by the late Medieval idea that objects in forced motion carried an innate force of impetus.
These differences could be associated with important differences such as culture and clinical practice that can never be fully corrected for statistically through methods like propensity scores [ 9].
Visual impairment caused by refractive errors could be fully corrected using spectacle lens and the cost of spectacles is relatively low compared to eye surgery.
Some feet can be fully corrected to functional plantigrade feet, whereas others will still present with undercorrected residual equinovarus deformities despite the proper use of the Ponseti method.
In the case of the Shanghai study population, the confounding by parity and age at first birth would not be fully corrected for, and the relative risk for induced abortion would remain underestimated.
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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