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It is 0, when all blur-discerned instances on feature X p are clear-discerned on feature X q, which means the predictive power of X q is completely complementary to that of X p and we consider their corresponding redundancy is zero.
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This is in spite of the fact that some predictions go on to be confirmed by laboratory methods: a correct prediction does not mean the predictive method is working the way one thinks it does.
Current limitations in genomic prediction of complex traits include incomplete genomic information (26, 27), which means that some causal loci are poorly tagged by the genotyped SNPs, and lack of statistical power to detect true associations (26, 28, 29), which means that the predictive signal is difficult to separate from the data noise.
Area under the ROC curve was greater than 90% which means that the predictive power of the model was perfect.
It means that the predictive accuracy for Chk2 inhibitors may be improved by considering the Besttrain and Fasttrain concurrently.
An AUC = 0.5 means that the predictive accuracy of the model is not better than chance, whereas an AUC = 1 implies perfect predictive accuracy.
Increasing positive rates coupled with falling cancer detection rates inevitably means that the predictive value for cancer of a positive test result is lower than in the first round.
These fixed periods are identical in all years for a given population, for example, from 15 February to 25 April in Husby et al. (2010) for the UK great tit population, which means that the predictive value of this proxy will co-vary with the absolute phenological timing in birds.
It is also possible that for diabetic nephropathy the genotypic risk does not exceed the risk contributed by conventional risk factors (e.g. BMI, age, diabetes mellitus duration), which means that the predictive value of risk variants for diabetic nephropathy would be limited [ 21].
Given the very large number of identified candidate barriers, it is almost inevitable that at least one will be associated with any interesting species complex that we might point to as a candidate for ring speciation, and this means that the predictive value of the model will depend on further refinement.
My feeling is that at some point that is going to mean that the predictive value of local election performances at general elections is going to change and change big.
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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