Sentence examples for data with errors from inspiring English sources

A semi-empirical correlation for the frost density was additionally put forward, being able to predict the experimental data with errors within ±15% bounds.

While standard machine learning algorithms are robust against input data with errors from random distributions, it turns out that they are vulnerable to errors that are strategically chosen by an adversary.

The stiffness and strength predicted by our model showed good accordance with the experiment data with errors below 12% under quasi-static loading and below 30% under impact loading.

The results of photocatalytic activity, using methanol oxidation as test reaction, showed good agreement between model predictions and experimental data, with errors between 2% and 10% depending on the catalyst concentration.

Observational data with errors of >20° are not shown.

Observational data with errors of >0.3 in log10Ωm are not shown.

The effective longitudinal relaxation time (scatter data with error bars representing the s.d., right and top axes) is measured at 2.8375 GHz (blue arrow), the frequency of the |0〉↔|−1〉 transition of the NV− centres oriented parallel to Bz, while saturating another MW frequency.

All experiments were done in six copies and illustrated as average data with error bars.

Average valence is shown for bins that contain 5% of the data, with error bars showing the standard error.

To prevent misleading conclusion from the poor-quality data, only good data with error of both off-diagonal impedance phases less than 10° were plotted.

Our solutions are able to release summaries of the data with error comparable or even better than current releases (which are not provably private), for reasonable settings of privacy parameters.