Your English writing platform
Discover LudwigExact(32)
h: heritability; n: number of bulls; r D R E 2 : average reliabilities; range (DRE) and median (DRE): range and median of de-regressed EBV DREE) for bulls; Reference: reference dataset; Test: test dataset.
The overall accuracies of prediction for five types are 93.25% and 96.61% via the jackknife test and independent dataset test, respectively.
The results showed that the proposed method was effective and it had the highest classification accuracy in most cases, while also having the fastest computation time for the larger dataset test while maintaining highest accuracy.
Three cross-validation methods are often used in statistical prediction [51]: independent dataset test, subsampling (K-fold) test, and jackknife test.
As is well known, the following three methods are often used to examine the quality of a predictor: independent dataset test, subsampling test, and jackknife test [62].
In statistical prediction, three cross-validation methods are often used to examine the prediction quality: subsampling (K-fold) test, independent dataset test and jackknife test [30].
Similar(27)
In contrast with the more widely reported parameters of intra-observer and inter-observer variability, which relate to the repeated measurement of a single dataset, test-retest variation involves repetition of the entire acquisition and analysis.
A final blind test dataset (TEST-Z, 3403 pairs) included the one completely new MRSA-252 pathway (sar03018) added to KEGG after the network was generated, plus the amino-acyl-tRNA biosynthesis (sar00970) and two-component system (sar02020) pathways which had previously been excluded from the gold-standard (above).
If a dataset tested significant for Levene's test, it was transformed (log10, sqrt, x).
Each dataset tested contained 1 mio of paired-end sequence reads, randomly selected from a larger dataset.
CCH was run on each genome-wide simulated dataset testing for loci shared IBD by between 6 and 17 individuals.
Write better and faster with AI suggestions while staying true to your unique style.
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