The phrase "an increased error" is correct and usable in written English.
It can be used when discussing a rise in the frequency or magnitude of errors in a particular context, such as data analysis or quality control.
Example: "After implementing the new software, we noticed an increased error in the calculations."
Alternatives: "a higher error rate" or "an elevated error level."
Typically, the reduced error rate of the most protected class is compensated for by an increased error rate of the other classes.
It might favor an almost instantaneous response, even at the risk of an increased error rate.
As multicellular organisms age, somatic tissues show evidence of genomic instability and an increased error rate in protein synthesis.
Higher primer concentrations produced more sequencing signal, but at the expense of an increased error rate (data not shown).
A new generation of technologies is speeding up the sequencing even more, but this comes at the price of some biases and an increased error rate [ 1, 2].
Frank et al. (2007) found an increased error positivity for met/met carriers but no COMT effects on ERN amplitudes, concurring with our results.
OCD patients compared to controls showed an increased error-likelihood effect after errorless learning.
Thus, following EF-learning there might be a "double impact" on ERN amplitude: an increased error-likelihood for yes responses and an increased conflict due to interfering false candidates after EF-learning.
For high conflict situations (recognition after EF-learning) the opposite effect was observed: whereas the control group showed an increased error-likelihood effect, the OCD group showed a considerable reduction of the error-likelihood effect based on altered ACC learning rates in response to errors [48], [49].
However, within high conflict situations (recognition after EF-learning) the opposite effect was observed: whereas the control group showed an increased error-likelihood effect, the OCD group showed a reduction of the error-likelihood effect based on altered ACC learning rates in response to errors.
On the other hand, when considering maps with increasing delay, the finite difference approximation of model (3) is affected by an increasing error.
