Sentence examples for amount of inaccuracy from inspiring English sources

As we can see, a large amount of inaccuracy (more than 4%) is associated with scheme I. Also, in terms of inconsistency, scheme II is again slightly better than scheme I.

As I've become all too aware of the incredible amount of inaccuracy, dishonesty and sensationalism in corporate, professional media, I have completely changed how I get my news.

Let us say that Brier Inaccuracy is the claim that the Brier score is the only legitimate measure of inaccuracy.

The theory in this field is based on analytical calculations, i.e. the limited amount and inaccuracy of the data is usually not considered.

280 Standard processes should be implemented by local study personnel to enhance data quality and reduce bias by detecting and reducing the amount of missing or incomplete data, inaccuracies, and excessive variability in measurements.

We also investigated whether adjusting for puberty provided a better fit of the model to the data (results not shown); however, due to the large amount of missing data and potential inaccuracies in the exact timing of puberty, we determined that including a knot point at 13 years provided the best fit.

Variation in the initial amount of PCE in the pipe or inaccuracy in the diffusion rate constant (r) of the Webler-Brown exposure model may also have reduced the correlations in the present study.

First, a conditional feedback mechanism is introduced in SP to reduce the amount of oscillation caused by the model inaccuracies in the DT parameter.

No amount of detail will compensate for unintentional inaccuracies.

The end user can improve the learning algorithm by tediously labeling a substantial amount of additional training data, but this takes time and is too ad hoc to target a particular area of inaccuracy.

Especially in large population-based studies, those involving thousands of participants, the self-reported sitting time is a useful method despite its inaccuracy of the total amount of physical activity and the potential recall bias [ 11].