The phrase "average err" is not correct and does not convey a clear meaning in written English.
It may be intended to refer to a typical error or mistake, but as it stands, it lacks clarity and context.
Example: "The average err in the calculations led to a significant discrepancy in the final results."
Alternatives: "typical error" or "mean error.".
Average ERR for MinCost is − 0.001, however average ERR for baseline classification is − 0.04.
By using that combination, we could reach 44.9% of average ERR relative to the baseline.
In ddition, we could get better performance for '3s.15u' dataset by using '12 NNs' configuration, where its average ERR was 51.4%.
The experimental results on the simulated reverberant data of CENSREC-4 by using Hybrid Delta[55] reached 95.7% and 94.7% of average digit accuracy for sets A and B. Thus, it reached 95.2% of total average digit accuracy, or 71.3% of average ERR relative to the baseline.
Meanwhile, the DAE-based approach proposed in[29, 30] reached 98.4% and 97.0% of average digit accuracy for sets A and B. Thus, it reached 97.7% of total average digit accuracy, or 86.2% of average ERR relative to the baseline, which was better than the ideal case (upper bound) for multi-condition AM (96.2% of digit accuracy).
Smallholder component projects (average ERR 10.7%), largeholder component projects (average ERR 18.9%) also performed generally satisfactorily.
The groups were a third less likely to guess the wrong color than were the individual players; the groups, on average, erred just 11percentt of the time while as individuals they were wrong 16percentt of the time.
The food is average (erring on the side of tinned), but the populuxe Festival of Britain interior (the neon "Eats" sign, the bright red light fittings, the pink espresso machine, the vintage menu) is a feast worth savouring.
Table 4 shows that, on average, ERRs associated with the urinary arsenic concentrations were > 3-fold higher than those associated with the water arsenic.
The averages of ERR (relative to the CMN) across the types of dataset for the '6 NNs' and '12 NNs' configuration were 41.7% and 41.1%.
