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The analysis should be performed based on comparison metrics.
These comparison metrics are defined as follows: Quality Metric (QM): This kind of the metric was applied by Schaffer (1985).
Performance comparison metrics such as secondary user's throughput, spectrum interference and wastage, and probability of error (or mean square error) are generally defined based on the probability density of the one step-ahead prediction, as well as, the prediction loss function.
Thus, a confusion matrix can be calculated for every integer rank cut-off value from which comparison metrics, such as sensitivity and specificity values are derived.
The image comparison metrics confirm this.
Comparison metrics were signal‐to‐noise ratio, coefficient of variance and percent signal increase.
These strategies will be analyzed using tools and comparison metrics for the decision making process.
Third, we use different string comparison metrics for names.
As shown previously [ 23] and in this study, peak identification can be strongly dependent on the analysis algorithm, so other more general comparison metrics should be used.
This implies that, within gene families, other measures such as changes in the charge, composition of proteins or alterations in the domain structure are better indicators of functional redundancy than direct sequence comparison metrics.
To validate the proposed algorithms various test problems were designed and the algorithms were compared to decomposition methods by means of comparisons metrics such as number of Pareto solutions NPS), two pacing metrics (SM1, SM2) and diversification metric DM).
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