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We measure the network throughput, collision probability and the network delay as the main evaluation metrics.
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Further, neuroimaging studies most commonly report sensitivity, specificity and accuracy as the primary evaluation metrics.
We use two main and popular external evaluation metrics including cluster purity and F-measure criteria for experiments.
Report package is a program collection which is responsible for the output of system information and performance evaluation metrics, whose main capability is to make the system information output module independent of other packages.
The developed estimation models are evaluated using different evaluation metrics.
Another concern is the evaluation metrics selection when evaluating statistical models built on HTS data.
First, we present the used evaluation metrics.
Real data set description and evaluation metrics.
Table 2 gives the evaluation metrics.
The evaluation metrics include the following.
Five ensemble methods and various evaluation metrics are adopted.
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