The phrase "approaches the error" is correct and usable in written English.
It can be used in contexts where you are discussing the proximity or likelihood of making a mistake or encountering an error in a process or calculation.
Example: "As the calculations progressed, the algorithm approaches the error margin that we had set for the experiment."
Alternatives: "nears the mistake" or "comes close to the error".
We also note from Table3 that with J = 100 Markov chain move steps between sensor measurements, the MCDPF RMS error approaches the error curve of the optimal flooding-based CbPFb tracker with a inter-node communication cost that is, however, roughly four times greater than that of the CbPFb algorithm.
Our evaluations of SmartLoc in a large city demonstrate its technique viability and significant localization accuracy improvement compared with GPS and other approaches: the error is approximately within 20 m for 90%% of the time.
Interestingly, clarinet tones are the main challenge for pYIN, whereas for all other approaches, the error rates for clarinet are the lowest and cello tones seem to be the most difficult ones.
Inter-analyst variability approached the "error" of the algorithm.
Luther judged even Augustine's very tiny concessions to free will as excessive, a conclusion that Erasmus equated with a total determinism that he denounced as approaching the errors of the ancient Manichean heretics.
As would be expected, as more observations are provided to the inference algorithm, performance improves and the error approaches the minimal possible error achievable through linear regression.
The median error approaches the value of the error when (rho=1), using all alters, which is 72 Km.
The overall type I error approaches the nominal level as the number of trials increases for the same trial size.
From Table 1, we can see that with the increase of the number of iterations, ({x_{n}}) approaches the solution (x^) and the errors gradually approach zero.
After an initial drop in error, as the scale approached 1.0, the error rose beyond the initial error as the influence of the histology gene became too dominant.
In one case study by Ms Madrian and Dennis Shea, changing the default rule in this way raised the enrolment rate from 49% to 86%.This measure exemplifies the soft paternalists' approach: the error it addresses is glaring, the remedy unobtrusive.
