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On the other hand, the RSSE equalization leads to an improved BER performance with the help of the reduced error propagation compared to classical DFE schemes.
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In the experimentally most common case of diagonal fringes the reduced error is an order of magnitude smaller than for nearly one-dimensional case within almost entire parameter space.
Typically, the reduced error rate of the most protected class is compensated for by an increased error rate of the other classes.
The evaluation of the performance of each semivariogram model and the selection of the best models were based on cross-validation, which estimates the reduced average error (RAE) and the standard deviation of the reduced average error (SRE) (Yamamoto and Landim 2013).
Standard deviation of the reduced average error.
For the Decision Tree, the minimum number of parameters per leaf and the number of folds for reduced error pruning are optimized.
PART: C: confidence threshold for pruning; M: minimum number of instances per leaf; R: use reduced error pruning; N: number of folds for reduced error pruning; B: Use binary splits for nominal attributes Comparison of the generated versus true model, rules and attributes.
Based on the gel-to-gel variation of reduced error for highly abundant proteins, protein spots that showed at least 2-fold difference [ 29] in the average spot relative volume between two groups at 95% confidence level (t-test; p<0.05) were selected as significantly different.
A comparison of the costs of additional resource use and the value of reduced errors would be needed to determine whether this defensively motivated care was socially wasteful (that is, classified as defensive medicine) or instead reflects socially beneficial deterrence (that is, the costs of additional resource use are outweighed by the value of reduced errors).
Despite the large uncertainty ranges for the two individual systems, the special design of the paired experiment led to a reduced error of the differential effect, because very similar systematic errors for both parallel fields could be assumed.
RIPPER: F: number of folds for reduced error pruning; N: minimal weights of instances within a split; O: number of optimization runs RIDOR: F: number of folds for reduced error pruning; S: number of shuffles for randomization; A: Flag set to use the error rate of all the data to select the default class in each step.
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