Psychological Bulletin, 106, 332 337] in a database of 109 published results representing tests that varied in terms of scoring method (proportion accuracy versus correlation), content (e.g., personality versus affect), number of response options, item preselection, cue channel (e.g., face versus voice), stimulus duration, and dynamism.
The expression is evaluated in three different measures: transcript expression accuracy (Theta), transcript within-gene relative proportion accuracy (WGE-True) and inter-replicate consistency (WGE-Inter).
I think he could do it, and do it well, especially if he brings to the field the elements of context, proportion, fairness, balance, accuracy and grit that he has so often found lacking in the cacophony of modern media, most alarmingly in TV news.
Furthermore, when the animals are unrelated by pedigree or when the pedigree relationships are low, gBLUP can use information from distant relatives to maintain a proportion of accuracy of the GEBV.
These analyses suggest that while the neuronal proportion prediction accuracy is optimized with large sets of CETS markers, the performance of the algorithm in subset of these markers is adequate to generate accurate predictions and is dependent only on relative methylation as opposed to absolute methylation signals.
Therefore, the error matrix in terms of estimated area proportions, where accuracy can be computed directly, was calculated using Eq. 1 (Table 3).
The predicted and actual prognoses (SVR or non-SVR) of the VS patients were compared to obtain the following three measures of prognosis prediction performance: (1) accuracy (proportion of correctly predicted prognoses), (2) sensitivity (proportion of correctly predicted non-SVR) and (3) specificity (proportion of correctly predicted SVR).
At K = K c v ∗ and K = K ∅ C ∗, fastSTRUCTURE estimates admixture proportions with accuracies comparable to, and sometimes better than, ADMIXTURE even when the underlying population structure is rather weak.
In general, we observe that fastSTRUCTURE estimates ancestry proportions with accuracies comparable to, and sometimes better than, those estimated by ADMIXTURE even when the underlying population structure is rather weak.
These include accuracy (proportion of reads mapped correctly), sensitivity (the proportion of reads mapped to the reference genome), time efficiency and the computing capacity required (Bao et al, 2011).
Sampling methods change the number of positive or negative cases in the data set to balance their proportions improving classifiers accuracy.
