Sentence examples for a decline in accuracy from inspiring English sources

We found a nighttime loss of alertness accompanied by a slowing of response, a decline in accuracy due to loss of sensitivity and increased lapsing [41] [41] [41] [41].

When θ=3, all tests experience a decline in accuracy, with the BD test mostly superior.

Saatchi et al. [ 2] reported a decline in accuracy of genomic predictions that were derived from a US Hereford population when they were tested in Canadian, Uruguayan or Argentinean Hereford populations.

PF+ patients showed a decline in accuracy between cycles 1 and 4 [Bonferroni t(11) = 3.621, P = 0.008] and cycles 2 and 4 [Bonferroni t(11) = 3.911, P = 0.004].

Discussion: The identification errors made by each analyst, which result in a decline in accuracy and consistency, are likely related to psychological factors such as the limited capacity of human memory, fatigue and boredom, recency effects, and positivity bias.

Since these deficits were assumed to be a consequence of additional noise rather than inactivation of the system (as apparent in lesions), TMS effects were expected to produce delayed reaction times (RTs) rather than a decline in accuracy (Pascual-Leone et al. 2000; Walsh and Cowey 2000; Devlin et al. 2003).

The primary performance measure was reaction time (RT), since RT appears to be sensitive to rTMS effects even in the absence of any decline in accuracy (cf. Devlin et al. 2003; Pobric et al. 2007; Lambon Ralph et al. 2009).

It may well be, she said, that a decline in forecast accuracy is an entirely reasonable price to pay for better reliability of corporate disclosures.

Results with CORDEX show a small improvement in the representation of historical precipitation, but a decline in the accuracy of historical temperature simulations, despite the increase in spatial model resolution.

SAPS II, Acute Physiology, Age, and Chronic Health Evaluation (APACHE) III, and mortality probability model (MPM -II, which were developed in the early 1990s, have shown a decline in predictive accuracy as the MPM -IIage.

In addition, the RDN AD developed by using RfF top 20 features shows a visible decline in accuracy as the distance to model's core is increased (by addition of new data).