The phrase "a lower error" is correct and usable in written English.
It can be used in contexts related to statistics, data analysis, or performance evaluation where you are comparing error rates or margins.
Example: "The new algorithm produced a lower error compared to the previous version, indicating improved accuracy."
Alternatives: "a reduced error" or "a smaller error".
Our new visualisation has better usability, leading to higher accuracy and greater speed of task performance, as well as a lower error rate.
The analysis showed that the congruent/conflicting condition significantly affected the error rate; the data revealed that congruent condition had a lower error rate.
The proposed ELM model produced a lower error in predicting local scour depth at pile groups than other existing models (R2 = 0.99; MAPE = 8.75; RMSE = 0.007).
The experimental results demonstrate that in some circumstances, the proposed TFC-DE_AMS can increase the global search ability and obtain a lower error compared to other existing methods.
The use of automatic document analysis will enable the SFO to "investigate more quickly, reduce costs and achieve a lower error rate" than the work of human lawyers, the agency said.
Numerical results reveal that the DGLM has a lower error constant than the FEM and outperforms it for both the advection-diffusion equation in the high Peclet number regime and the incompressible Navier-Stokes equations in the laminar flow regime.
At a baud rate of 9600, there are.0006 bits received/cycle, while at 38400, this increases to.0024 bits/cycle, so the receiver has a lower error rate.
Third, the error is different for players with different weights; players with weight closer to the mean weight have a lower error than those with weight further away.
Furthermore, the present research shows that, for complex composite structures, a lower error threshold is required than those required for the simple composite plate case.
By calculating statistical indices for the test recorded maps, it was found that the optimized model can predict the PPV with a lower error than the other two models.
It is also shown that the use of the multiple-equilibrium property for clustering, on the data sets such as IRIS, leads to a lower error rate than the standard MS approach, and the K-Means and Fuzzy C-Means algorithms.
