The phrase "accuracy change" is correct and usable in written English.
It can be used when discussing modifications or variations in the level of precision or correctness of data, measurements, or information.
Example: "The accuracy change in the results was significant after recalibrating the instruments."
Alternatives: "change in accuracy" or "adjustment in accuracy".
An initial regression model used pre-test math accuracy (fixed effect) and grades (mixed effect) to predict math accuracy change (accuracy for all measures is proportion correct).
{A}_{agg}left(2@87%right)=0.7982+{0.1536}^{ast }{A}_{var} (3) Fig. 3 Accuracy Change Impact for One Model with Two Models at 87% Fig. 4 αAMP for One Changing Model with Two Models at 87%. Figure 4 studies the amplification impact of a varying model when aggregated with two models of average accuracy of 87%.
Table 3 Phone accuracies (percent) of vowels, semivowels, stops, fricatives, nasals, and silence Vowels Semivowels Stops Fricatives Nasals Silence HMM baseline 63.48 72.47 73.65 74.83 72.03 86.02 KL distance 68.30 76.52 73.45 72.37 72.53 85.48 LLR distance 68.32 76.85 75.65 71.95 72.66 85.57 Figure 10 Phone accuracy change due to template-matching-based rescoring with respect to HMM baseline.
This model reveals that the average change in math accuracy is 23.6% (when pre-test math accuracy is zero), for every 0.39% increase in pre-test math accuracy the model predicts a 1% decrease in change in math accuracy (if grade is held constant), and for every increase in grade the model predicts a 1.06% decrease in math accuracy change (if pre-test math accuracy is held constant).
In contrast, posterror accuracy change might be more related to attentional or control processes.
Does the model accuracy change when patient populations are stratified according to demographic or clinical characteristics?
It is not clear that the accuracy changes as to the prediction timing changing.
Our first approach was to fit psychometric curves, which describe how discrimination accuracy changed as a function of coherence.
One snag with all mechanical watches is that their accuracy changes with their position because it is affected by gravity.
By combining night-time satellite images with land-use data, they can estimate, with surprising accuracy, changes in agricultural and non-agricultural activity.
The result is accurate enough to determine the latitude and longitude of a mobile handset, and even its altitude, to within a few metres.Where are your friends?This kind of accuracy changes the game completely.
