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Second, we evaluate several composite confidence estimation strategies and compare them to the described technique by Jiménez and Lin [Composite confidence estimators for enhanced speculation control, Tech. rep., Department of Computer Sciences, The University of Texas at Austin, 2002].
As opposed to novelty detection, confidence estimation uses information of the underlying classifier.
Characterizing the probability of misclassification of an individual object has been termed confidence estimation [15, 16].
Second, unreliable predictions can be flagged which was referred to as confidence estimation.
Second, a comparison of novelty detection against confidence estimation for defining the AD is provided.
Thus, the final confidence estimation can be completely expressed by means of the kernel: (8).
Similar(32)
The fact that the predicted uncertainties at the voting threshold are reasonably close to 0.5 for Ames-1 (Figure 4B) and for the logP2 models described above (Figures 2 and 3) is consistent with their confidence estimations being reliable.The central flattening evident in Figure 4D, in contrast, should be taken as a warning flag.
Such a strategy minimizes the impact of extreme outlier samples and allows confidence estimations for classifier gene selection.
Confidence estimations are also generated for each assignment, representing the number of times the assigned taxa was selected out of 100 bootstrap trials [37].
Moreover, the statistical error is estimated in the same way as in the confidence interval estimation in a standard forward or adjoint calculation.
The bootstrap is an important non-parametric method for estimating sample size and analysing data (including hypothesis testing, standard error and confidence interval estimation) [ 6].
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